tensorflow/tools/api/golden/v1/tensorflow.raw_ops.pbtxt

path: "tensorflow.raw_ops"
tf_module {
  member_method {
    name: "Abort"
    argspec: "args=[\'error_msg\', \'exit_without_error\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'False\', \'None\'], "
  }
  member_method {
    name: "Abs"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AccumulateNV2"
    argspec: "args=[\'inputs\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AccumulatorApplyGradient"
    argspec: "args=[\'handle\', \'local_step\', \'gradient\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AccumulatorNumAccumulated"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AccumulatorSetGlobalStep"
    argspec: "args=[\'handle\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AccumulatorTakeGradient"
    argspec: "args=[\'handle\', \'num_required\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Acos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Acosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Add"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AddManySparseToTensorsMap"
    argspec: "args=[\'sparse_indices\', \'sparse_values\', \'sparse_shape\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "AddN"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AddSparseToTensorsMap"
    argspec: "args=[\'sparse_indices\', \'sparse_values\', \'sparse_shape\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "AddV2"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AdjustContrast"
    argspec: "args=[\'images\', \'contrast_factor\', \'min_value\', \'max_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AdjustContrastv2"
    argspec: "args=[\'images\', \'contrast_factor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AdjustHue"
    argspec: "args=[\'images\', \'delta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AdjustSaturation"
    argspec: "args=[\'images\', \'scale\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "All"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "AllCandidateSampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "AllToAll"
    argspec: "args=[\'input\', \'group_assignment\', \'concat_dimension\', \'split_dimension\', \'split_count\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Angle"
    argspec: "args=[\'input\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "AnonymousIterator"
    argspec: "args=[\'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AnonymousIteratorV2"
    argspec: "args=[\'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AnonymousMemoryCache"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AnonymousMultiDeviceIterator"
    argspec: "args=[\'devices\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AnonymousRandomSeedGenerator"
    argspec: "args=[\'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AnonymousSeedGenerator"
    argspec: "args=[\'seed\', \'seed2\', \'reshuffle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Any"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyAdaMax"
    argspec: "args=[\'var\', \'m\', \'v\', \'beta1_power\', \'lr\', \'beta1\', \'beta2\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyAdadelta"
    argspec: "args=[\'var\', \'accum\', \'accum_update\', \'lr\', \'rho\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ApplyAdagradDA"
    argspec: "args=[\'var\', \'gradient_accumulator\', \'gradient_squared_accumulator\', \'grad\', \'lr\', \'l1\', \'l2\', \'global_step\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyAdagradV2"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'epsilon\', \'grad\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ApplyAdam"
    argspec: "args=[\'var\', \'m\', \'v\', \'beta1_power\', \'beta2_power\', \'lr\', \'beta1\', \'beta2\', \'epsilon\', \'grad\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ApplyAddSign"
    argspec: "args=[\'var\', \'m\', \'lr\', \'alpha\', \'sign_decay\', \'beta\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyCenteredRMSProp"
    argspec: "args=[\'var\', \'mg\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyFtrl"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'lr\', \'l1\', \'l2\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ApplyFtrlV2"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'lr\', \'l1\', \'l2\', \'l2_shrinkage\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ApplyGradientDescent"
    argspec: "args=[\'var\', \'alpha\', \'delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyMomentum"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'momentum\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ApplyPowerSign"
    argspec: "args=[\'var\', \'m\', \'lr\', \'logbase\', \'sign_decay\', \'beta\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyProximalAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'l1\', \'l2\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyProximalGradientDescent"
    argspec: "args=[\'var\', \'alpha\', \'l1\', \'l2\', \'delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApplyRMSProp"
    argspec: "args=[\'var\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ApproximateEqual"
    argspec: "args=[\'x\', \'y\', \'tolerance\', \'name\'], varargs=None, keywords=None, defaults=[\'1e-05\', \'None\'], "
  }
  member_method {
    name: "ArgMax"
    argspec: "args=[\'input\', \'dimension\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "ArgMin"
    argspec: "args=[\'input\', \'dimension\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "AsString"
    argspec: "args=[\'input\', \'precision\', \'scientific\', \'shortest\', \'width\', \'fill\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'False\', \'False\', \'-1\', \'\', \'None\'], "
  }
  member_method {
    name: "Asin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Asinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Assert"
    argspec: "args=[\'condition\', \'data\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'3\', \'None\'], "
  }
  member_method {
    name: "AssertCardinalityDataset"
    argspec: "args=[\'input_dataset\', \'cardinality\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AssertNextDataset"
    argspec: "args=[\'input_dataset\', \'transformations\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Assign"
    argspec: "args=[\'ref\', \'value\', \'validate_shape\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'True\', \'None\'], "
  }
  member_method {
    name: "AssignAdd"
    argspec: "args=[\'ref\', \'value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "AssignAddVariableOp"
    argspec: "args=[\'resource\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AssignSub"
    argspec: "args=[\'ref\', \'value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "AssignSubVariableOp"
    argspec: "args=[\'resource\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AssignVariableOp"
    argspec: "args=[\'resource\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Atan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Atan2"
    argspec: "args=[\'y\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Atanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "AudioSpectrogram"
    argspec: "args=[\'input\', \'window_size\', \'stride\', \'magnitude_squared\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "AudioSummary"
    argspec: "args=[\'tag\', \'tensor\', \'sample_rate\', \'max_outputs\', \'name\'], varargs=None, keywords=None, defaults=[\'3\', \'None\'], "
  }
  member_method {
    name: "AudioSummaryV2"
    argspec: "args=[\'tag\', \'tensor\', \'sample_rate\', \'max_outputs\', \'name\'], varargs=None, keywords=None, defaults=[\'3\', \'None\'], "
  }
  member_method {
    name: "AutoShardDataset"
    argspec: "args=[\'input_dataset\', \'num_workers\', \'index\', \'output_types\', \'output_shapes\', \'auto_shard_policy\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "AvgPool"
    argspec: "args=[\'value\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "AvgPool3D"
    argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], "
  }
  member_method {
    name: "AvgPool3DGrad"
    argspec: "args=[\'orig_input_shape\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], "
  }
  member_method {
    name: "AvgPoolGrad"
    argspec: "args=[\'orig_input_shape\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "Barrier"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "BarrierClose"
    argspec: "args=[\'handle\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "BarrierIncompleteSize"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BarrierInsertMany"
    argspec: "args=[\'handle\', \'keys\', \'values\', \'component_index\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BarrierReadySize"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BarrierTakeMany"
    argspec: "args=[\'handle\', \'num_elements\', \'component_types\', \'allow_small_batch\', \'wait_for_incomplete\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'-1\', \'None\'], "
  }
  member_method {
    name: "Batch"
    argspec: "args=[\'in_tensors\', \'num_batch_threads\', \'max_batch_size\', \'batch_timeout_micros\', \'grad_timeout_micros\', \'max_enqueued_batches\', \'allowed_batch_sizes\', \'container\', \'shared_name\', \'batching_queue\', \'name\'], varargs=None, keywords=None, defaults=[\'10\', \'[]\', \'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "BatchCholesky"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchCholeskyGrad"
    argspec: "args=[\'l\', \'grad\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchDataset"
    argspec: "args=[\'input_dataset\', \'batch_size\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchDatasetV2"
    argspec: "args=[\'input_dataset\', \'batch_size\', \'drop_remainder\', \'output_types\', \'output_shapes\', \'parallel_copy\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "BatchFFT"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchFFT2D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchFFT3D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchFunction"
    argspec: "args=[\'in_tensors\', \'captured_tensors\', \'f\', \'num_batch_threads\', \'max_batch_size\', \'batch_timeout_micros\', \'Tout\', \'max_enqueued_batches\', \'allowed_batch_sizes\', \'container\', \'shared_name\', \'batching_queue\', \'name\'], varargs=None, keywords=None, defaults=[\'10\', \'[]\', \'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "BatchIFFT"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchIFFT2D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchIFFT3D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchMatMul"
    argspec: "args=[\'x\', \'y\', \'adj_x\', \'adj_y\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "BatchMatMulV2"
    argspec: "args=[\'x\', \'y\', \'adj_x\', \'adj_y\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "BatchMatrixBandPart"
    argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchMatrixDeterminant"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchMatrixDiag"
    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchMatrixDiagPart"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchMatrixInverse"
    argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "BatchMatrixSetDiag"
    argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchMatrixSolve"
    argspec: "args=[\'matrix\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "BatchMatrixSolveLs"
    argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "BatchMatrixTriangularSolve"
    argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "BatchNormWithGlobalNormalization"
    argspec: "args=[\'t\', \'m\', \'v\', \'beta\', \'gamma\', \'variance_epsilon\', \'scale_after_normalization\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchNormWithGlobalNormalizationGrad"
    argspec: "args=[\'t\', \'m\', \'v\', \'gamma\', \'backprop\', \'variance_epsilon\', \'scale_after_normalization\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchSelfAdjointEig"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchSelfAdjointEigV2"
    argspec: "args=[\'input\', \'compute_v\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "BatchSvd"
    argspec: "args=[\'input\', \'compute_uv\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "BatchToSpace"
    argspec: "args=[\'input\', \'crops\', \'block_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BatchToSpaceND"
    argspec: "args=[\'input\', \'block_shape\', \'crops\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BesselI0e"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BesselI1e"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Betainc"
    argspec: "args=[\'a\', \'b\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BiasAdd"
    argspec: "args=[\'value\', \'bias\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "BiasAddGrad"
    argspec: "args=[\'out_backprop\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "BiasAddV1"
    argspec: "args=[\'value\', \'bias\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Bincount"
    argspec: "args=[\'arr\', \'size\', \'weights\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Bitcast"
    argspec: "args=[\'input\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BitwiseAnd"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BitwiseOr"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BitwiseXor"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BlockLSTM"
    argspec: "args=[\'seq_len_max\', \'x\', \'cs_prev\', \'h_prev\', \'w\', \'wci\', \'wcf\', \'wco\', \'b\', \'forget_bias\', \'cell_clip\', \'use_peephole\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'3\', \'False\', \'None\'], "
  }
  member_method {
    name: "BlockLSTMGrad"
    argspec: "args=[\'seq_len_max\', \'x\', \'cs_prev\', \'h_prev\', \'w\', \'wci\', \'wcf\', \'wco\', \'b\', \'i\', \'cs\', \'f\', \'o\', \'ci\', \'co\', \'h\', \'cs_grad\', \'h_grad\', \'use_peephole\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BlockLSTMGradV2"
    argspec: "args=[\'seq_len_max\', \'x\', \'cs_prev\', \'h_prev\', \'w\', \'wci\', \'wcf\', \'wco\', \'b\', \'i\', \'cs\', \'f\', \'o\', \'ci\', \'co\', \'h\', \'cs_grad\', \'h_grad\', \'use_peephole\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BlockLSTMV2"
    argspec: "args=[\'seq_len_max\', \'x\', \'cs_prev\', \'h_prev\', \'w\', \'wci\', \'wcf\', \'wco\', \'b\', \'cell_clip\', \'use_peephole\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesAggregateStats"
    argspec: "args=[\'node_ids\', \'gradients\', \'hessians\', \'feature\', \'max_splits\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesBucketize"
    argspec: "args=[\'float_values\', \'bucket_boundaries\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesCalculateBestFeatureSplit"
    argspec: "args=[\'node_id_range\', \'stats_summary\', \'l1\', \'l2\', \'tree_complexity\', \'min_node_weight\', \'logits_dimension\', \'split_type\', \'name\'], varargs=None, keywords=None, defaults=[\'inequality\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesCalculateBestFeatureSplitV2"
    argspec: "args=[\'node_id_range\', \'stats_summaries_list\', \'split_types\', \'candidate_feature_ids\', \'l1\', \'l2\', \'tree_complexity\', \'min_node_weight\', \'logits_dimension\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesCalculateBestGainsPerFeature"
    argspec: "args=[\'node_id_range\', \'stats_summary_list\', \'l1\', \'l2\', \'tree_complexity\', \'min_node_weight\', \'max_splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesCenterBias"
    argspec: "args=[\'tree_ensemble_handle\', \'mean_gradients\', \'mean_hessians\', \'l1\', \'l2\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesCreateEnsemble"
    argspec: "args=[\'tree_ensemble_handle\', \'stamp_token\', \'tree_ensemble_serialized\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesCreateQuantileStreamResource"
    argspec: "args=[\'quantile_stream_resource_handle\', \'epsilon\', \'num_streams\', \'max_elements\', \'name\'], varargs=None, keywords=None, defaults=[\'1099511627776\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesDeserializeEnsemble"
    argspec: "args=[\'tree_ensemble_handle\', \'stamp_token\', \'tree_ensemble_serialized\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesEnsembleResourceHandleOp"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesExampleDebugOutputs"
    argspec: "args=[\'tree_ensemble_handle\', \'bucketized_features\', \'logits_dimension\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesFlushQuantileSummaries"
    argspec: "args=[\'quantile_stream_resource_handle\', \'num_features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesGetEnsembleStates"
    argspec: "args=[\'tree_ensemble_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesMakeQuantileSummaries"
    argspec: "args=[\'float_values\', \'example_weights\', \'epsilon\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesMakeStatsSummary"
    argspec: "args=[\'node_ids\', \'gradients\', \'hessians\', \'bucketized_features_list\', \'max_splits\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesPredict"
    argspec: "args=[\'tree_ensemble_handle\', \'bucketized_features\', \'logits_dimension\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesQuantileStreamResourceAddSummaries"
    argspec: "args=[\'quantile_stream_resource_handle\', \'summaries\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesQuantileStreamResourceDeserialize"
    argspec: "args=[\'quantile_stream_resource_handle\', \'bucket_boundaries\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesQuantileStreamResourceFlush"
    argspec: "args=[\'quantile_stream_resource_handle\', \'num_buckets\', \'generate_quantiles\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesQuantileStreamResourceGetBucketBoundaries"
    argspec: "args=[\'quantile_stream_resource_handle\', \'num_features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesQuantileStreamResourceHandleOp"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesSerializeEnsemble"
    argspec: "args=[\'tree_ensemble_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesSparseAggregateStats"
    argspec: "args=[\'node_ids\', \'gradients\', \'hessians\', \'feature_indices\', \'feature_values\', \'feature_shape\', \'max_splits\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesSparseCalculateBestFeatureSplit"
    argspec: "args=[\'node_id_range\', \'stats_summary_indices\', \'stats_summary_values\', \'stats_summary_shape\', \'l1\', \'l2\', \'tree_complexity\', \'min_node_weight\', \'logits_dimension\', \'split_type\', \'name\'], varargs=None, keywords=None, defaults=[\'inequality\', \'None\'], "
  }
  member_method {
    name: "BoostedTreesTrainingPredict"
    argspec: "args=[\'tree_ensemble_handle\', \'cached_tree_ids\', \'cached_node_ids\', \'bucketized_features\', \'logits_dimension\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesUpdateEnsemble"
    argspec: "args=[\'tree_ensemble_handle\', \'feature_ids\', \'node_ids\', \'gains\', \'thresholds\', \'left_node_contribs\', \'right_node_contribs\', \'max_depth\', \'learning_rate\', \'pruning_mode\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BoostedTreesUpdateEnsembleV2"
    argspec: "args=[\'tree_ensemble_handle\', \'feature_ids\', \'dimension_ids\', \'node_ids\', \'gains\', \'thresholds\', \'left_node_contribs\', \'right_node_contribs\', \'split_types\', \'max_depth\', \'learning_rate\', \'pruning_mode\', \'logits_dimension\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], "
  }
  member_method {
    name: "BroadcastArgs"
    argspec: "args=[\'s0\', \'s1\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BroadcastGradientArgs"
    argspec: "args=[\'s0\', \'s1\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BroadcastTo"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Bucketize"
    argspec: "args=[\'input\', \'boundaries\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "BytesProducedStatsDataset"
    argspec: "args=[\'input_dataset\', \'tag\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CSRSparseMatrixComponents"
    argspec: "args=[\'csr_sparse_matrix\', \'index\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CSRSparseMatrixToDense"
    argspec: "args=[\'sparse_input\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CSRSparseMatrixToSparseTensor"
    argspec: "args=[\'sparse_matrix\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CSVDataset"
    argspec: "args=[\'filenames\', \'compression_type\', \'buffer_size\', \'header\', \'field_delim\', \'use_quote_delim\', \'na_value\', \'select_cols\', \'record_defaults\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CTCBeamSearchDecoder"
    argspec: "args=[\'inputs\', \'sequence_length\', \'beam_width\', \'top_paths\', \'merge_repeated\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "CTCGreedyDecoder"
    argspec: "args=[\'inputs\', \'sequence_length\', \'merge_repeated\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "CTCLoss"
    argspec: "args=[\'inputs\', \'labels_indices\', \'labels_values\', \'sequence_length\', \'preprocess_collapse_repeated\', \'ctc_merge_repeated\', \'ignore_longer_outputs_than_inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "CTCLossV2"
    argspec: "args=[\'inputs\', \'labels_indices\', \'labels_values\', \'sequence_length\', \'preprocess_collapse_repeated\', \'ctc_merge_repeated\', \'ignore_longer_outputs_than_inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "CacheDataset"
    argspec: "args=[\'input_dataset\', \'filename\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CacheDatasetV2"
    argspec: "args=[\'input_dataset\', \'filename\', \'cache\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Case"
    argspec: "args=[\'branch_index\', \'input\', \'Tout\', \'branches\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'None\'], "
  }
  member_method {
    name: "Cast"
    argspec: "args=[\'x\', \'DstT\', \'Truncate\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "Ceil"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CheckNumerics"
    argspec: "args=[\'tensor\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CheckNumericsV2"
    argspec: "args=[\'tensor\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Cholesky"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CholeskyGrad"
    argspec: "args=[\'l\', \'grad\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ChooseFastestBranchDataset"
    argspec: "args=[\'input_dataset\', \'ratio_numerator\', \'ratio_denominator\', \'other_arguments\', \'num_elements_per_branch\', \'branches\', \'other_arguments_lengths\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ChooseFastestDataset"
    argspec: "args=[\'input_datasets\', \'num_experiments\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ClipByValue"
    argspec: "args=[\'t\', \'clip_value_min\', \'clip_value_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CloseSummaryWriter"
    argspec: "args=[\'writer\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CollectiveBcastRecv"
    argspec: "args=[\'T\', \'group_size\', \'group_key\', \'instance_key\', \'shape\', \'communication_hint\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'None\'], "
  }
  member_method {
    name: "CollectiveBcastSend"
    argspec: "args=[\'input\', \'group_size\', \'group_key\', \'instance_key\', \'shape\', \'communication_hint\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'None\'], "
  }
  member_method {
    name: "CollectiveGather"
    argspec: "args=[\'input\', \'group_size\', \'group_key\', \'instance_key\', \'shape\', \'communication_hint\', \'name\'], varargs=None, keywords=None, defaults=[\'auto\', \'None\'], "
  }
  member_method {
    name: "CollectivePermute"
    argspec: "args=[\'input\', \'source_target_pairs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CollectiveReduce"
    argspec: "args=[\'input\', \'group_size\', \'group_key\', \'instance_key\', \'merge_op\', \'final_op\', \'subdiv_offsets\', \'wait_for\', \'communication_hint\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'auto\', \'None\'], "
  }
  member_method {
    name: "CombinedNonMaxSuppression"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size_per_class\', \'max_total_size\', \'iou_threshold\', \'score_threshold\', \'pad_per_class\', \'clip_boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "CompareAndBitpack"
    argspec: "args=[\'input\', \'threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Complex"
    argspec: "args=[\'real\', \'imag\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\'], "
  }
  member_method {
    name: "ComplexAbs"
    argspec: "args=[\'x\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "ComputeAccidentalHits"
    argspec: "args=[\'true_classes\', \'sampled_candidates\', \'num_true\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Concat"
    argspec: "args=[\'concat_dim\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ConcatOffset"
    argspec: "args=[\'concat_dim\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ConcatV2"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ConcatenateDataset"
    argspec: "args=[\'input_dataset\', \'another_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ConditionalAccumulator"
    argspec: "args=[\'dtype\', \'shape\', \'container\', \'shared_name\', \'reduction_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'MEAN\', \'None\'], "
  }
  member_method {
    name: "ConfigureDistributedTPU"
    argspec: "args=[\'embedding_config\', \'tpu_embedding_config\', \'is_global_init\', \'enable_whole_mesh_compilations\', \'compilation_failure_closes_chips\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ConfigureTPUEmbedding"
    argspec: "args=[\'config\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Conj"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ConjugateTranspose"
    argspec: "args=[\'x\', \'perm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Const"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ConsumeMutexLock"
    argspec: "args=[\'mutex_lock\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ControlTrigger"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Conv2D"
    argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'explicit_paddings\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'[]\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv2DBackpropFilter"
    argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'explicit_paddings\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'[]\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv2DBackpropInput"
    argspec: "args=[\'input_sizes\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'explicit_paddings\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'[]\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv3D"
    argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'[1, 1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv3DBackpropFilter"
    argspec: "args=[\'input\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'[1, 1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv3DBackpropFilterV2"
    argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'[1, 1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv3DBackpropInput"
    argspec: "args=[\'input\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'[1, 1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Conv3DBackpropInputV2"
    argspec: "args=[\'input_sizes\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'[1, 1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Copy"
    argspec: "args=[\'input\', \'tensor_name\', \'debug_ops_spec\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'[]\', \'None\'], "
  }
  member_method {
    name: "CopyHost"
    argspec: "args=[\'input\', \'tensor_name\', \'debug_ops_spec\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'[]\', \'None\'], "
  }
  member_method {
    name: "Cos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Cosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CountUpTo"
    argspec: "args=[\'ref\', \'limit\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CreateSummaryDbWriter"
    argspec: "args=[\'writer\', \'db_uri\', \'experiment_name\', \'run_name\', \'user_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CreateSummaryFileWriter"
    argspec: "args=[\'writer\', \'logdir\', \'max_queue\', \'flush_millis\', \'filename_suffix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CropAndResize"
    argspec: "args=[\'image\', \'boxes\', \'box_ind\', \'crop_size\', \'method\', \'extrapolation_value\', \'name\'], varargs=None, keywords=None, defaults=[\'bilinear\', \'0\', \'None\'], "
  }
  member_method {
    name: "CropAndResizeGradBoxes"
    argspec: "args=[\'grads\', \'image\', \'boxes\', \'box_ind\', \'method\', \'name\'], varargs=None, keywords=None, defaults=[\'bilinear\', \'None\'], "
  }
  member_method {
    name: "CropAndResizeGradImage"
    argspec: "args=[\'grads\', \'boxes\', \'box_ind\', \'image_size\', \'T\', \'method\', \'name\'], varargs=None, keywords=None, defaults=[\'bilinear\', \'None\'], "
  }
  member_method {
    name: "Cross"
    argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CrossReplicaSum"
    argspec: "args=[\'input\', \'group_assignment\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "CudnnRNN"
    argspec: "args=[\'input\', \'input_h\', \'input_c\', \'params\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNBackprop"
    argspec: "args=[\'input\', \'input_h\', \'input_c\', \'params\', \'output\', \'output_h\', \'output_c\', \'output_backprop\', \'output_h_backprop\', \'output_c_backprop\', \'reserve_space\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNBackpropV2"
    argspec: "args=[\'input\', \'input_h\', \'input_c\', \'params\', \'output\', \'output_h\', \'output_c\', \'output_backprop\', \'output_h_backprop\', \'output_c_backprop\', \'reserve_space\', \'host_reserved\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNBackpropV3"
    argspec: "args=[\'input\', \'input_h\', \'input_c\', \'params\', \'sequence_lengths\', \'output\', \'output_h\', \'output_c\', \'output_backprop\', \'output_h_backprop\', \'output_c_backprop\', \'reserve_space\', \'host_reserved\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'time_major\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNCanonicalToParams"
    argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'weights\', \'biases\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNCanonicalToParamsV2"
    argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'weights\', \'biases\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNParamsSize"
    argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'T\', \'S\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNParamsToCanonical"
    argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'params\', \'num_params\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNParamsToCanonicalV2"
    argspec: "args=[\'num_layers\', \'num_units\', \'input_size\', \'params\', \'num_params_weights\', \'num_params_biases\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNV2"
    argspec: "args=[\'input\', \'input_h\', \'input_c\', \'params\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "CudnnRNNV3"
    argspec: "args=[\'input\', \'input_h\', \'input_c\', \'params\', \'sequence_lengths\', \'rnn_mode\', \'input_mode\', \'direction\', \'dropout\', \'seed\', \'seed2\', \'num_proj\', \'is_training\', \'time_major\', \'name\'], varargs=None, keywords=None, defaults=[\'lstm\', \'linear_input\', \'unidirectional\', \'0\', \'0\', \'0\', \'0\', \'True\', \'True\', \'None\'], "
  }
  member_method {
    name: "Cumprod"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "Cumsum"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "CumulativeLogsumexp"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "DataFormatDimMap"
    argspec: "args=[\'x\', \'src_format\', \'dst_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'NCHW\', \'None\'], "
  }
  member_method {
    name: "DataFormatVecPermute"
    argspec: "args=[\'x\', \'src_format\', \'dst_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'NCHW\', \'None\'], "
  }
  member_method {
    name: "DataServiceDataset"
    argspec: "args=[\'dataset_id\', \'processing_mode\', \'address\', \'protocol\', \'job_name\', \'max_outstanding_requests\', \'iteration_counter\', \'output_types\', \'output_shapes\', \'task_refresh_interval_hint_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "DatasetCardinality"
    argspec: "args=[\'input_dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DatasetFromGraph"
    argspec: "args=[\'graph_def\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DatasetToGraph"
    argspec: "args=[\'input_dataset\', \'stateful_whitelist\', \'allow_stateful\', \'strip_device_assignment\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "DatasetToGraphV2"
    argspec: "args=[\'input_dataset\', \'external_state_policy\', \'strip_device_assignment\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'None\'], "
  }
  member_method {
    name: "DatasetToSingleElement"
    argspec: "args=[\'dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DatasetToTFRecord"
    argspec: "args=[\'input_dataset\', \'filename\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Dawsn"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DebugGradientIdentity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DebugGradientRefIdentity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DebugIdentity"
    argspec: "args=[\'input\', \'device_name\', \'tensor_name\', \'debug_urls\', \'gated_grpc\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'[]\', \'False\', \'None\'], "
  }
  member_method {
    name: "DebugIdentityV2"
    argspec: "args=[\'input\', \'tfdbg_context_id\', \'op_name\', \'output_slot\', \'tensor_debug_mode\', \'debug_urls\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'-1\', \'-1\', \'[]\', \'None\'], "
  }
  member_method {
    name: "DebugNanCount"
    argspec: "args=[\'input\', \'device_name\', \'tensor_name\', \'debug_urls\', \'gated_grpc\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'[]\', \'False\', \'None\'], "
  }
  member_method {
    name: "DebugNumericSummary"
    argspec: "args=[\'input\', \'device_name\', \'tensor_name\', \'debug_urls\', \'lower_bound\', \'upper_bound\', \'mute_if_healthy\', \'gated_grpc\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'[]\', \'-inf\', \'inf\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "DebugNumericSummaryV2"
    argspec: "args=[\'input\', \'output_dtype\', \'tensor_debug_mode\', \'tensor_id\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'-1\', \'-1\', \'None\'], "
  }
  member_method {
    name: "DecodeAndCropJpeg"
    argspec: "args=[\'contents\', \'crop_window\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], "
  }
  member_method {
    name: "DecodeBase64"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DecodeBmp"
    argspec: "args=[\'contents\', \'channels\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "DecodeCSV"
    argspec: "args=[\'records\', \'record_defaults\', \'field_delim\', \'use_quote_delim\', \'na_value\', \'select_cols\', \'name\'], varargs=None, keywords=None, defaults=[\',\', \'True\', \'\', \'[]\', \'None\'], "
  }
  member_method {
    name: "DecodeCompressed"
    argspec: "args=[\'bytes\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "DecodeGif"
    argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DecodeJSONExample"
    argspec: "args=[\'json_examples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DecodeJpeg"
    argspec: "args=[\'contents\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], "
  }
  member_method {
    name: "DecodePaddedRaw"
    argspec: "args=[\'input_bytes\', \'fixed_length\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "DecodePng"
    argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'uint8\'>\", \'None\'], "
  }
  member_method {
    name: "DecodeProtoV2"
    argspec: "args=[\'bytes\', \'message_type\', \'field_names\', \'output_types\', \'descriptor_source\', \'message_format\', \'sanitize\', \'name\'], varargs=None, keywords=None, defaults=[\'local://\', \'binary\', \'False\', \'None\'], "
  }
  member_method {
    name: "DecodeRaw"
    argspec: "args=[\'bytes\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "DecodeWav"
    argspec: "args=[\'contents\', \'desired_channels\', \'desired_samples\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'-1\', \'None\'], "
  }
  member_method {
    name: "DeepCopy"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeleteIterator"
    argspec: "args=[\'handle\', \'deleter\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeleteMemoryCache"
    argspec: "args=[\'handle\', \'deleter\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeleteMultiDeviceIterator"
    argspec: "args=[\'multi_device_iterator\', \'iterators\', \'deleter\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeleteRandomSeedGenerator"
    argspec: "args=[\'handle\', \'deleter\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeleteSeedGenerator"
    argspec: "args=[\'handle\', \'deleter\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeleteSessionTensor"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DenseBincount"
    argspec: "args=[\'input\', \'size\', \'weights\', \'binary_output\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "DenseCountSparseOutput"
    argspec: "args=[\'values\', \'weights\', \'binary_count\', \'output_type\', \'minlength\', \'maxlength\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'-1\', \'None\'], "
  }
  member_method {
    name: "DenseToCSRSparseMatrix"
    argspec: "args=[\'dense_input\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DenseToDenseSetOperation"
    argspec: "args=[\'set1\', \'set2\', \'set_operation\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "DenseToSparseBatchDataset"
    argspec: "args=[\'input_dataset\', \'batch_size\', \'row_shape\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DenseToSparseSetOperation"
    argspec: "args=[\'set1\', \'set2_indices\', \'set2_values\', \'set2_shape\', \'set_operation\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "DepthToSpace"
    argspec: "args=[\'input\', \'block_size\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "DepthwiseConv2dNative"
    argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'explicit_paddings\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "DepthwiseConv2dNativeBackpropFilter"
    argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'explicit_paddings\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "DepthwiseConv2dNativeBackpropInput"
    argspec: "args=[\'input_sizes\', \'filter\', \'out_backprop\', \'strides\', \'padding\', \'explicit_paddings\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "Dequantize"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'narrow_range\', \'axis\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'False\', \'-1\', \"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "DeserializeIterator"
    argspec: "args=[\'resource_handle\', \'serialized\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeserializeManySparse"
    argspec: "args=[\'serialized_sparse\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DeserializeSparse"
    argspec: "args=[\'serialized_sparse\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DestroyResourceOp"
    argspec: "args=[\'resource\', \'ignore_lookup_error\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "DestroyTemporaryVariable"
    argspec: "args=[\'ref\', \'var_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Diag"
    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DiagPart"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Digamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Dilation2D"
    argspec: "args=[\'input\', \'filter\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Dilation2DBackpropFilter"
    argspec: "args=[\'input\', \'filter\', \'out_backprop\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Dilation2DBackpropInput"
    argspec: "args=[\'input\', \'filter\', \'out_backprop\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DirectedInterleaveDataset"
    argspec: "args=[\'selector_input_dataset\', \'data_input_datasets\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Div"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DivNoNan"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DrawBoundingBoxes"
    argspec: "args=[\'images\', \'boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DrawBoundingBoxesV2"
    argspec: "args=[\'images\', \'boxes\', \'colors\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DummyIterationCounter"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DummyMemoryCache"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DummySeedGenerator"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DynamicPartition"
    argspec: "args=[\'data\', \'partitions\', \'num_partitions\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "DynamicStitch"
    argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "EagerPyFunc"
    argspec: "args=[\'input\', \'token\', \'Tout\', \'is_async\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "EditDistance"
    argspec: "args=[\'hypothesis_indices\', \'hypothesis_values\', \'hypothesis_shape\', \'truth_indices\', \'truth_values\', \'truth_shape\', \'normalize\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Eig"
    argspec: "args=[\'input\', \'Tout\', \'compute_v\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Einsum"
    argspec: "args=[\'inputs\', \'equation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Elu"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "EluGrad"
    argspec: "args=[\'gradients\', \'outputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Empty"
    argspec: "args=[\'shape\', \'dtype\', \'init\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "EmptyTensorList"
    argspec: "args=[\'element_shape\', \'max_num_elements\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "EncodeBase64"
    argspec: "args=[\'input\', \'pad\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "EncodeJpeg"
    argspec: "args=[\'image\', \'format\', \'quality\', \'progressive\', \'optimize_size\', \'chroma_downsampling\', \'density_unit\', \'x_density\', \'y_density\', \'xmp_metadata\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'95\', \'False\', \'False\', \'True\', \'in\', \'300\', \'300\', \'\', \'None\'], "
  }
  member_method {
    name: "EncodeJpegVariableQuality"
    argspec: "args=[\'images\', \'quality\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "EncodePng"
    argspec: "args=[\'image\', \'compression\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "EncodeProto"
    argspec: "args=[\'sizes\', \'values\', \'field_names\', \'message_type\', \'descriptor_source\', \'name\'], varargs=None, keywords=None, defaults=[\'local://\', \'None\'], "
  }
  member_method {
    name: "EncodeWav"
    argspec: "args=[\'audio\', \'sample_rate\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "EnqueueTPUEmbeddingIntegerBatch"
    argspec: "args=[\'batch\', \'mode_override\', \'device_ordinal\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "EnqueueTPUEmbeddingRaggedTensorBatch"
    argspec: "args=[\'sample_splits\', \'embedding_indices\', \'aggregation_weights\', \'mode_override\', \'table_ids\', \'device_ordinal\', \'combiners\', \'max_sequence_lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "EnqueueTPUEmbeddingSparseBatch"
    argspec: "args=[\'sample_indices\', \'embedding_indices\', \'aggregation_weights\', \'mode_override\', \'device_ordinal\', \'combiners\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'[]\', \'None\'], "
  }
  member_method {
    name: "EnqueueTPUEmbeddingSparseTensorBatch"
    argspec: "args=[\'sample_indices\', \'embedding_indices\', \'aggregation_weights\', \'mode_override\', \'table_ids\', \'device_ordinal\', \'combiners\', \'max_sequence_lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "EnsureShape"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Enter"
    argspec: "args=[\'data\', \'frame_name\', \'is_constant\', \'parallel_iterations\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'10\', \'None\'], "
  }
  member_method {
    name: "Equal"
    argspec: "args=[\'x\', \'y\', \'incompatible_shape_error\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Erf"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Erfc"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Erfinv"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "EuclideanNorm"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "Exit"
    argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Exp"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExpandDims"
    argspec: "args=[\'input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalAssertNextDataset"
    argspec: "args=[\'input_dataset\', \'transformations\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalAutoShardDataset"
    argspec: "args=[\'input_dataset\', \'num_workers\', \'index\', \'output_types\', \'output_shapes\', \'auto_shard_policy\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "ExperimentalBytesProducedStatsDataset"
    argspec: "args=[\'input_dataset\', \'tag\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalCSVDataset"
    argspec: "args=[\'filenames\', \'compression_type\', \'buffer_size\', \'header\', \'field_delim\', \'use_quote_delim\', \'na_value\', \'select_cols\', \'record_defaults\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalChooseFastestDataset"
    argspec: "args=[\'input_datasets\', \'num_experiments\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalDatasetCardinality"
    argspec: "args=[\'input_dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalDatasetToTFRecord"
    argspec: "args=[\'input_dataset\', \'filename\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalDenseToSparseBatchDataset"
    argspec: "args=[\'input_dataset\', \'batch_size\', \'row_shape\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalDirectedInterleaveDataset"
    argspec: "args=[\'selector_input_dataset\', \'data_input_datasets\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalGroupByReducerDataset"
    argspec: "args=[\'input_dataset\', \'key_func_other_arguments\', \'init_func_other_arguments\', \'reduce_func_other_arguments\', \'finalize_func_other_arguments\', \'key_func\', \'init_func\', \'reduce_func\', \'finalize_func\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalGroupByWindowDataset"
    argspec: "args=[\'input_dataset\', \'key_func_other_arguments\', \'reduce_func_other_arguments\', \'window_size_func_other_arguments\', \'key_func\', \'reduce_func\', \'window_size_func\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalIgnoreErrorsDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalIteratorGetDevice"
    argspec: "args=[\'resource\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalLMDBDataset"
    argspec: "args=[\'filenames\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalLatencyStatsDataset"
    argspec: "args=[\'input_dataset\', \'tag\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalMapAndBatchDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'batch_size\', \'num_parallel_calls\', \'drop_remainder\', \'f\', \'output_types\', \'output_shapes\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ExperimentalMapDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'f\', \'output_types\', \'output_shapes\', \'use_inter_op_parallelism\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "ExperimentalMatchingFilesDataset"
    argspec: "args=[\'patterns\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalMaxIntraOpParallelismDataset"
    argspec: "args=[\'input_dataset\', \'max_intra_op_parallelism\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalNonSerializableDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalParallelInterleaveDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'sloppy\', \'buffer_output_elements\', \'prefetch_input_elements\', \'f\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalParseExampleDataset"
    argspec: "args=[\'input_dataset\', \'num_parallel_calls\', \'dense_defaults\', \'sparse_keys\', \'dense_keys\', \'sparse_types\', \'dense_shapes\', \'output_types\', \'output_shapes\', \'sloppy\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ExperimentalPrivateThreadPoolDataset"
    argspec: "args=[\'input_dataset\', \'num_threads\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalRandomDataset"
    argspec: "args=[\'seed\', \'seed2\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalRebatchDataset"
    argspec: "args=[\'input_dataset\', \'num_replicas\', \'output_types\', \'output_shapes\', \'use_fallback\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ExperimentalScanDataset"
    argspec: "args=[\'input_dataset\', \'initial_state\', \'other_arguments\', \'f\', \'output_types\', \'output_shapes\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ExperimentalSetStatsAggregatorDataset"
    argspec: "args=[\'input_dataset\', \'stats_aggregator\', \'tag\', \'counter_prefix\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalSleepDataset"
    argspec: "args=[\'input_dataset\', \'sleep_microseconds\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalSlidingWindowDataset"
    argspec: "args=[\'input_dataset\', \'window_size\', \'window_shift\', \'window_stride\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalSqlDataset"
    argspec: "args=[\'driver_name\', \'data_source_name\', \'query\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalStatsAggregatorHandle"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "ExperimentalStatsAggregatorSummary"
    argspec: "args=[\'iterator\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalTakeWhileDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'predicate\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalThreadPoolDataset"
    argspec: "args=[\'input_dataset\', \'thread_pool\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalThreadPoolHandle"
    argspec: "args=[\'num_threads\', \'display_name\', \'max_intra_op_parallelism\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "ExperimentalUnbatchDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExperimentalUniqueDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Expint"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Expm1"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExtractGlimpse"
    argspec: "args=[\'input\', \'size\', \'offsets\', \'centered\', \'normalized\', \'uniform_noise\', \'noise\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'True\', \'True\', \'uniform\', \'None\'], "
  }
  member_method {
    name: "ExtractImagePatches"
    argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ExtractJpegShape"
    argspec: "args=[\'contents\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "ExtractVolumePatches"
    argspec: "args=[\'input\', \'ksizes\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FFT"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FFT2D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FFT3D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FIFOQueue"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "FIFOQueueV2"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "Fact"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FakeParam"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FakeQuantWithMinMaxArgs"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "FakeQuantWithMinMaxArgsGradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "FakeQuantWithMinMaxVars"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "FakeQuantWithMinMaxVarsGradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "FakeQuantWithMinMaxVarsPerChannel"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "FakeQuantWithMinMaxVarsPerChannelGradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "FakeQueue"
    argspec: "args=[\'resource\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Fill"
    argspec: "args=[\'dims\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FilterByLastComponentDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FilterDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'predicate\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Fingerprint"
    argspec: "args=[\'data\', \'method\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FixedLengthRecordDataset"
    argspec: "args=[\'filenames\', \'header_bytes\', \'record_bytes\', \'footer_bytes\', \'buffer_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FixedLengthRecordDatasetV2"
    argspec: "args=[\'filenames\', \'header_bytes\', \'record_bytes\', \'footer_bytes\', \'buffer_size\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FixedLengthRecordReader"
    argspec: "args=[\'record_bytes\', \'header_bytes\', \'footer_bytes\', \'hop_bytes\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "FixedLengthRecordReaderV2"
    argspec: "args=[\'record_bytes\', \'header_bytes\', \'footer_bytes\', \'hop_bytes\', \'container\', \'shared_name\', \'encoding\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "FixedUnigramCandidateSampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'vocab_file\', \'distortion\', \'num_reserved_ids\', \'num_shards\', \'shard\', \'unigrams\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'1\', \'0\', \'1\', \'0\', \'[]\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "FlatMapDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'f\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Floor"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FloorDiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FloorMod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FlushSummaryWriter"
    argspec: "args=[\'writer\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "For"
    argspec: "args=[\'start\', \'limit\', \'delta\', \'input\', \'body\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FractionalAvgPool"
    argspec: "args=[\'value\', \'pooling_ratio\', \'pseudo_random\', \'overlapping\', \'deterministic\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "FractionalAvgPoolGrad"
    argspec: "args=[\'orig_input_tensor_shape\', \'out_backprop\', \'row_pooling_sequence\', \'col_pooling_sequence\', \'overlapping\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "FractionalMaxPool"
    argspec: "args=[\'value\', \'pooling_ratio\', \'pseudo_random\', \'overlapping\', \'deterministic\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "FractionalMaxPoolGrad"
    argspec: "args=[\'orig_input\', \'orig_output\', \'out_backprop\', \'row_pooling_sequence\', \'col_pooling_sequence\', \'overlapping\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "FresnelCos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FresnelSin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FusedBatchNorm"
    argspec: "args=[\'x\', \'scale\', \'offset\', \'mean\', \'variance\', \'epsilon\', \'exponential_avg_factor\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1\', \'NHWC\', \'True\', \'None\'], "
  }
  member_method {
    name: "FusedBatchNormGrad"
    argspec: "args=[\'y_backprop\', \'x\', \'scale\', \'reserve_space_1\', \'reserve_space_2\', \'epsilon\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'NHWC\', \'True\', \'None\'], "
  }
  member_method {
    name: "FusedBatchNormGradV2"
    argspec: "args=[\'y_backprop\', \'x\', \'scale\', \'reserve_space_1\', \'reserve_space_2\', \'epsilon\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'NHWC\', \'True\', \'None\'], "
  }
  member_method {
    name: "FusedBatchNormGradV3"
    argspec: "args=[\'y_backprop\', \'x\', \'scale\', \'reserve_space_1\', \'reserve_space_2\', \'reserve_space_3\', \'epsilon\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'NHWC\', \'True\', \'None\'], "
  }
  member_method {
    name: "FusedBatchNormV2"
    argspec: "args=[\'x\', \'scale\', \'offset\', \'mean\', \'variance\', \'epsilon\', \'exponential_avg_factor\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1\', \'NHWC\', \'True\', \'None\'], "
  }
  member_method {
    name: "FusedBatchNormV3"
    argspec: "args=[\'x\', \'scale\', \'offset\', \'mean\', \'variance\', \'epsilon\', \'exponential_avg_factor\', \'data_format\', \'is_training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1\', \'NHWC\', \'True\', \'None\'], "
  }
  member_method {
    name: "FusedPadConv2D"
    argspec: "args=[\'input\', \'paddings\', \'filter\', \'mode\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "FusedResizeAndPadConv2D"
    argspec: "args=[\'input\', \'size\', \'paddings\', \'filter\', \'mode\', \'strides\', \'padding\', \'resize_align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "GRUBlockCell"
    argspec: "args=[\'x\', \'h_prev\', \'w_ru\', \'w_c\', \'b_ru\', \'b_c\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GRUBlockCellGrad"
    argspec: "args=[\'x\', \'h_prev\', \'w_ru\', \'w_c\', \'b_ru\', \'b_c\', \'r\', \'u\', \'c\', \'d_h\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Gather"
    argspec: "args=[\'params\', \'indices\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "GatherNd"
    argspec: "args=[\'params\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GatherV2"
    argspec: "args=[\'params\', \'indices\', \'axis\', \'batch_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "GenerateBoundingBoxProposals"
    argspec: "args=[\'scores\', \'bbox_deltas\', \'image_info\', \'anchors\', \'nms_threshold\', \'pre_nms_topn\', \'min_size\', \'post_nms_topn\', \'name\'], varargs=None, keywords=None, defaults=[\'300\', \'None\'], "
  }
  member_method {
    name: "GenerateVocabRemapping"
    argspec: "args=[\'new_vocab_file\', \'old_vocab_file\', \'new_vocab_offset\', \'num_new_vocab\', \'old_vocab_size\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "GeneratorDataset"
    argspec: "args=[\'init_func_other_args\', \'next_func_other_args\', \'finalize_func_other_args\', \'init_func\', \'next_func\', \'finalize_func\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GetSessionHandle"
    argspec: "args=[\'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GetSessionHandleV2"
    argspec: "args=[\'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GetSessionTensor"
    argspec: "args=[\'handle\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Greater"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GreaterEqual"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GroupByReducerDataset"
    argspec: "args=[\'input_dataset\', \'key_func_other_arguments\', \'init_func_other_arguments\', \'reduce_func_other_arguments\', \'finalize_func_other_arguments\', \'key_func\', \'init_func\', \'reduce_func\', \'finalize_func\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GroupByWindowDataset"
    argspec: "args=[\'input_dataset\', \'key_func_other_arguments\', \'reduce_func_other_arguments\', \'window_size_func_other_arguments\', \'key_func\', \'reduce_func\', \'window_size_func\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "GuaranteeConst"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "HSVToRGB"
    argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "HashTable"
    argspec: "args=[\'key_dtype\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'None\'], "
  }
  member_method {
    name: "HashTableV2"
    argspec: "args=[\'key_dtype\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'None\'], "
  }
  member_method {
    name: "HistogramFixedWidth"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "HistogramSummary"
    argspec: "args=[\'tag\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IFFT"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IFFT2D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IFFT3D"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IRFFT"
    argspec: "args=[\'input\', \'fft_length\', \'Treal\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "IRFFT2D"
    argspec: "args=[\'input\', \'fft_length\', \'Treal\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "IRFFT3D"
    argspec: "args=[\'input\', \'fft_length\', \'Treal\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "Identity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IdentityN"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IdentityReader"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "IdentityReaderV2"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "If"
    argspec: "args=[\'cond\', \'input\', \'Tout\', \'then_branch\', \'else_branch\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'None\'], "
  }
  member_method {
    name: "Igamma"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IgammaGradA"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Igammac"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IgnoreErrorsDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Imag"
    argspec: "args=[\'input\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "ImageProjectiveTransformV2"
    argspec: "args=[\'images\', \'transforms\', \'output_shape\', \'interpolation\', \'fill_mode\', \'name\'], varargs=None, keywords=None, defaults=[\'CONSTANT\', \'None\'], "
  }
  member_method {
    name: "ImageSummary"
    argspec: "args=[\'tag\', \'tensor\', \'max_images\', \'bad_color\', \'name\'], varargs=None, keywords=None, defaults=[\'3\', \'dtype: DT_UINT8\\ntensor_shape {\\n  dim {\\n    size: 4\\n  }\\n}\\nint_val: 255\\nint_val: 0\\nint_val: 0\\nint_val: 255\\n\', \'None\'], "
  }
  member_method {
    name: "ImmutableConst"
    argspec: "args=[\'dtype\', \'shape\', \'memory_region_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ImportEvent"
    argspec: "args=[\'writer\', \'event\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InTopK"
    argspec: "args=[\'predictions\', \'targets\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InTopKV2"
    argspec: "args=[\'predictions\', \'targets\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InfeedDequeue"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InfeedDequeueTuple"
    argspec: "args=[\'dtypes\', \'shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InfeedEnqueue"
    argspec: "args=[\'input\', \'shape\', \'layout\', \'device_ordinal\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'[]\', \'-1\', \'None\'], "
  }
  member_method {
    name: "InfeedEnqueuePrelinearizedBuffer"
    argspec: "args=[\'input\', \'device_ordinal\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "InfeedEnqueueTuple"
    argspec: "args=[\'inputs\', \'shapes\', \'layouts\', \'device_ordinal\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'None\'], "
  }
  member_method {
    name: "InitializeTable"
    argspec: "args=[\'table_handle\', \'keys\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InitializeTableFromDataset"
    argspec: "args=[\'table_handle\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InitializeTableFromTextFile"
    argspec: "args=[\'table_handle\', \'filename\', \'key_index\', \'value_index\', \'vocab_size\', \'delimiter\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\\t\', \'None\'], "
  }
  member_method {
    name: "InitializeTableFromTextFileV2"
    argspec: "args=[\'table_handle\', \'filename\', \'key_index\', \'value_index\', \'vocab_size\', \'delimiter\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\\t\', \'None\'], "
  }
  member_method {
    name: "InitializeTableV2"
    argspec: "args=[\'table_handle\', \'keys\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InplaceAdd"
    argspec: "args=[\'x\', \'i\', \'v\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InplaceSub"
    argspec: "args=[\'x\', \'i\', \'v\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InplaceUpdate"
    argspec: "args=[\'x\', \'i\', \'v\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InterleaveDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'f\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Inv"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InvGrad"
    argspec: "args=[\'y\', \'dy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Invert"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "InvertPermutation"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IsBoostedTreesEnsembleInitialized"
    argspec: "args=[\'tree_ensemble_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IsBoostedTreesQuantileStreamResourceInitialized"
    argspec: "args=[\'quantile_stream_resource_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IsFinite"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IsInf"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IsNan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IsVariableInitialized"
    argspec: "args=[\'ref\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Iterator"
    argspec: "args=[\'shared_name\', \'container\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IteratorFromStringHandle"
    argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "IteratorFromStringHandleV2"
    argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "IteratorGetDevice"
    argspec: "args=[\'resource\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IteratorGetNext"
    argspec: "args=[\'iterator\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IteratorGetNextAsOptional"
    argspec: "args=[\'iterator\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IteratorGetNextSync"
    argspec: "args=[\'iterator\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IteratorToStringHandle"
    argspec: "args=[\'resource_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "IteratorV2"
    argspec: "args=[\'shared_name\', \'container\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "L2Loss"
    argspec: "args=[\'t\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LMDBDataset"
    argspec: "args=[\'filenames\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LMDBReader"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "LRN"
    argspec: "args=[\'input\', \'depth_radius\', \'bias\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'5\', \'1\', \'1\', \'0.5\', \'None\'], "
  }
  member_method {
    name: "LRNGrad"
    argspec: "args=[\'input_grads\', \'input_image\', \'output_image\', \'depth_radius\', \'bias\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'5\', \'1\', \'1\', \'0.5\', \'None\'], "
  }
  member_method {
    name: "LSTMBlockCell"
    argspec: "args=[\'x\', \'cs_prev\', \'h_prev\', \'w\', \'wci\', \'wcf\', \'wco\', \'b\', \'forget_bias\', \'cell_clip\', \'use_peephole\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'3\', \'False\', \'None\'], "
  }
  member_method {
    name: "LSTMBlockCellGrad"
    argspec: "args=[\'x\', \'cs_prev\', \'h_prev\', \'w\', \'wci\', \'wcf\', \'wco\', \'b\', \'i\', \'cs\', \'f\', \'o\', \'ci\', \'co\', \'cs_grad\', \'h_grad\', \'use_peephole\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LatencyStatsDataset"
    argspec: "args=[\'input_dataset\', \'tag\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LeakyRelu"
    argspec: "args=[\'features\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'0.2\', \'None\'], "
  }
  member_method {
    name: "LeakyReluGrad"
    argspec: "args=[\'gradients\', \'features\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'0.2\', \'None\'], "
  }
  member_method {
    name: "LearnedUnigramCandidateSampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "LeftShift"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LegacyParallelInterleaveDatasetV2"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'buffer_output_elements\', \'prefetch_input_elements\', \'f\', \'output_types\', \'output_shapes\', \'deterministic\', \'name\'], varargs=None, keywords=None, defaults=[\'default\', \'None\'], "
  }
  member_method {
    name: "Less"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LessEqual"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Lgamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LinSpace"
    argspec: "args=[\'start\', \'stop\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ListDiff"
    argspec: "args=[\'x\', \'y\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "LoadAndRemapMatrix"
    argspec: "args=[\'ckpt_path\', \'old_tensor_name\', \'row_remapping\', \'col_remapping\', \'initializing_values\', \'num_rows\', \'num_cols\', \'max_rows_in_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingADAMParameters"
    argspec: "args=[\'parameters\', \'momenta\', \'velocities\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingADAMParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'momenta\', \'velocities\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingAdadeltaParameters"
    argspec: "args=[\'parameters\', \'accumulators\', \'updates\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingAdadeltaParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'accumulators\', \'updates\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingAdagradParameters"
    argspec: "args=[\'parameters\', \'accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingAdagradParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'accumulators\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingCenteredRMSPropParameters"
    argspec: "args=[\'parameters\', \'ms\', \'mom\', \'mg\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingFTRLParameters"
    argspec: "args=[\'parameters\', \'accumulators\', \'linears\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingFTRLParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'accumulators\', \'linears\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingMDLAdagradLightParameters"
    argspec: "args=[\'parameters\', \'accumulators\', \'weights\', \'benefits\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingMomentumParameters"
    argspec: "args=[\'parameters\', \'momenta\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingMomentumParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'momenta\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingProximalAdagradParameters"
    argspec: "args=[\'parameters\', \'accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'accumulators\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingProximalYogiParameters"
    argspec: "args=[\'parameters\', \'v\', \'m\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingProximalYogiParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'v\', \'m\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingRMSPropParameters"
    argspec: "args=[\'parameters\', \'ms\', \'mom\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingRMSPropParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'ms\', \'mom\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingStochasticGradientDescentParameters"
    argspec: "args=[\'parameters\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug"
    argspec: "args=[\'parameters\', \'gradient_accumulators\', \'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "Log"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Log1p"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LogMatrixDeterminant"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LogSoftmax"
    argspec: "args=[\'logits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LogUniformCandidateSampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "LogicalAnd"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LogicalNot"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LogicalOr"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableExport"
    argspec: "args=[\'table_handle\', \'Tkeys\', \'Tvalues\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableExportV2"
    argspec: "args=[\'table_handle\', \'Tkeys\', \'Tvalues\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableFind"
    argspec: "args=[\'table_handle\', \'keys\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableFindV2"
    argspec: "args=[\'table_handle\', \'keys\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableImport"
    argspec: "args=[\'table_handle\', \'keys\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableImportV2"
    argspec: "args=[\'table_handle\', \'keys\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableInsert"
    argspec: "args=[\'table_handle\', \'keys\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableInsertV2"
    argspec: "args=[\'table_handle\', \'keys\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableRemoveV2"
    argspec: "args=[\'table_handle\', \'keys\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableSize"
    argspec: "args=[\'table_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LookupTableSizeV2"
    argspec: "args=[\'table_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LoopCond"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "LowerBound"
    argspec: "args=[\'sorted_inputs\', \'values\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "Lu"
    argspec: "args=[\'input\', \'output_idx_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "MakeIterator"
    argspec: "args=[\'dataset\', \'iterator\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MapAndBatchDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'batch_size\', \'num_parallel_calls\', \'drop_remainder\', \'f\', \'output_types\', \'output_shapes\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "MapClear"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MapDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'f\', \'output_types\', \'output_shapes\', \'use_inter_op_parallelism\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "MapDefun"
    argspec: "args=[\'arguments\', \'captured_inputs\', \'output_types\', \'output_shapes\', \'f\', \'max_intra_op_parallelism\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], "
  }
  member_method {
    name: "MapIncompleteSize"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MapPeek"
    argspec: "args=[\'key\', \'indices\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MapSize"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MapStage"
    argspec: "args=[\'key\', \'indices\', \'values\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MapUnstage"
    argspec: "args=[\'key\', \'indices\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MapUnstageNoKey"
    argspec: "args=[\'indices\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "MatMul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "MatchingFiles"
    argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatchingFilesDataset"
    argspec: "args=[\'patterns\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixBandPart"
    argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixDeterminant"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixDiag"
    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixDiagPart"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixDiagPartV2"
    argspec: "args=[\'input\', \'k\', \'padding_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixDiagPartV3"
    argspec: "args=[\'input\', \'k\', \'padding_value\', \'align\', \'name\'], varargs=None, keywords=None, defaults=[\'RIGHT_LEFT\', \'None\'], "
  }
  member_method {
    name: "MatrixDiagV2"
    argspec: "args=[\'diagonal\', \'k\', \'num_rows\', \'num_cols\', \'padding_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixDiagV3"
    argspec: "args=[\'diagonal\', \'k\', \'num_rows\', \'num_cols\', \'padding_value\', \'align\', \'name\'], varargs=None, keywords=None, defaults=[\'RIGHT_LEFT\', \'None\'], "
  }
  member_method {
    name: "MatrixExponential"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixInverse"
    argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "MatrixLogarithm"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixSetDiag"
    argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixSetDiagV2"
    argspec: "args=[\'input\', \'diagonal\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixSetDiagV3"
    argspec: "args=[\'input\', \'diagonal\', \'k\', \'align\', \'name\'], varargs=None, keywords=None, defaults=[\'RIGHT_LEFT\', \'None\'], "
  }
  member_method {
    name: "MatrixSolve"
    argspec: "args=[\'matrix\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "MatrixSolveLs"
    argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "MatrixSquareRoot"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MatrixTriangularSolve"
    argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "Max"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "MaxIntraOpParallelismDataset"
    argspec: "args=[\'input_dataset\', \'max_intra_op_parallelism\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MaxPool"
    argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPool3D"
    argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPool3DGrad"
    argspec: "args=[\'orig_input\', \'orig_output\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPool3DGradGrad"
    argspec: "args=[\'orig_input\', \'orig_output\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPoolGrad"
    argspec: "args=[\'orig_input\', \'orig_output\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPoolGradGrad"
    argspec: "args=[\'orig_input\', \'orig_output\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPoolGradGradV2"
    argspec: "args=[\'orig_input\', \'orig_output\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPoolGradGradWithArgmax"
    argspec: "args=[\'input\', \'grad\', \'argmax\', \'ksize\', \'strides\', \'padding\', \'include_batch_in_index\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "MaxPoolGradV2"
    argspec: "args=[\'orig_input\', \'orig_output\', \'grad\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPoolGradWithArgmax"
    argspec: "args=[\'input\', \'grad\', \'argmax\', \'ksize\', \'strides\', \'padding\', \'include_batch_in_index\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "MaxPoolV2"
    argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "MaxPoolWithArgmax"
    argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'Targmax\', \'include_batch_in_index\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'False\', \'None\'], "
  }
  member_method {
    name: "Maximum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Mean"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "Merge"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MergeSummary"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MergeV2Checkpoints"
    argspec: "args=[\'checkpoint_prefixes\', \'destination_prefix\', \'delete_old_dirs\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Mfcc"
    argspec: "args=[\'spectrogram\', \'sample_rate\', \'upper_frequency_limit\', \'lower_frequency_limit\', \'filterbank_channel_count\', \'dct_coefficient_count\', \'name\'], varargs=None, keywords=None, defaults=[\'4000\', \'20\', \'40\', \'13\', \'None\'], "
  }
  member_method {
    name: "Min"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "Minimum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MirrorPad"
    argspec: "args=[\'input\', \'paddings\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MirrorPadGrad"
    argspec: "args=[\'input\', \'paddings\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Mod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ModelDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'algorithm\', \'cpu_budget\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Mul"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MulNoNan"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MultiDeviceIterator"
    argspec: "args=[\'devices\', \'shared_name\', \'container\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MultiDeviceIteratorFromStringHandle"
    argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "MultiDeviceIteratorGetNextFromShard"
    argspec: "args=[\'multi_device_iterator\', \'shard_num\', \'incarnation_id\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MultiDeviceIteratorInit"
    argspec: "args=[\'dataset\', \'multi_device_iterator\', \'max_buffer_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MultiDeviceIteratorToStringHandle"
    argspec: "args=[\'multi_device_iterator\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Multinomial"
    argspec: "args=[\'logits\', \'num_samples\', \'seed\', \'seed2\', \'output_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "MutableDenseHashTable"
    argspec: "args=[\'empty_key\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'value_shape\', \'initial_num_buckets\', \'max_load_factor\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'[]\', \'131072\', \'0.8\', \'None\'], "
  }
  member_method {
    name: "MutableDenseHashTableV2"
    argspec: "args=[\'empty_key\', \'deleted_key\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'value_shape\', \'initial_num_buckets\', \'max_load_factor\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'[]\', \'131072\', \'0.8\', \'None\'], "
  }
  member_method {
    name: "MutableHashTable"
    argspec: "args=[\'key_dtype\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'None\'], "
  }
  member_method {
    name: "MutableHashTableOfTensors"
    argspec: "args=[\'key_dtype\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'value_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'[]\', \'None\'], "
  }
  member_method {
    name: "MutableHashTableOfTensorsV2"
    argspec: "args=[\'key_dtype\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'value_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'[]\', \'None\'], "
  }
  member_method {
    name: "MutableHashTableV2"
    argspec: "args=[\'key_dtype\', \'value_dtype\', \'container\', \'shared_name\', \'use_node_name_sharing\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'False\', \'None\'], "
  }
  member_method {
    name: "MutexLock"
    argspec: "args=[\'mutex\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "MutexV2"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "NcclAllReduce"
    argspec: "args=[\'input\', \'reduction\', \'num_devices\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NcclBroadcast"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NcclReduce"
    argspec: "args=[\'input\', \'reduction\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Ndtri"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Neg"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NextAfter"
    argspec: "args=[\'x1\', \'x2\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NextIteration"
    argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NoOp"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NonDeterministicInts"
    argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "NonMaxSuppression"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'None\'], "
  }
  member_method {
    name: "NonMaxSuppressionV2"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NonMaxSuppressionV3"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NonMaxSuppressionV4"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'pad_to_max_output_size\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "NonMaxSuppressionV5"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'soft_nms_sigma\', \'pad_to_max_output_size\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "NonMaxSuppressionWithOverlaps"
    argspec: "args=[\'overlaps\', \'scores\', \'max_output_size\', \'overlap_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NonSerializableDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "NotEqual"
    argspec: "args=[\'x\', \'y\', \'incompatible_shape_error\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "NthElement"
    argspec: "args=[\'input\', \'n\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "OneHot"
    argspec: "args=[\'indices\', \'depth\', \'on_value\', \'off_value\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "OneShotIterator"
    argspec: "args=[\'dataset_factory\', \'output_types\', \'output_shapes\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "OnesLike"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "OptimizeDataset"
    argspec: "args=[\'input_dataset\', \'optimizations\', \'output_types\', \'output_shapes\', \'optimization_configs\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'None\'], "
  }
  member_method {
    name: "OptionalFromValue"
    argspec: "args=[\'components\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "OptionalGetValue"
    argspec: "args=[\'optional\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "OptionalHasValue"
    argspec: "args=[\'optional\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "OptionalNone"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "OrderedMapClear"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OrderedMapIncompleteSize"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OrderedMapPeek"
    argspec: "args=[\'key\', \'indices\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OrderedMapSize"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OrderedMapStage"
    argspec: "args=[\'key\', \'indices\', \'values\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OrderedMapUnstage"
    argspec: "args=[\'key\', \'indices\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OrderedMapUnstageNoKey"
    argspec: "args=[\'indices\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "OutfeedDequeue"
    argspec: "args=[\'dtype\', \'shape\', \'device_ordinal\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "OutfeedDequeueTuple"
    argspec: "args=[\'dtypes\', \'shapes\', \'device_ordinal\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "OutfeedEnqueue"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "OutfeedEnqueueTuple"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Pack"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "Pad"
    argspec: "args=[\'input\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PadV2"
    argspec: "args=[\'input\', \'paddings\', \'constant_values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PaddedBatchDataset"
    argspec: "args=[\'input_dataset\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PaddedBatchDatasetV2"
    argspec: "args=[\'input_dataset\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\', \'output_shapes\', \'parallel_copy\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "PaddingFIFOQueue"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "PaddingFIFOQueueV2"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "ParallelConcat"
    argspec: "args=[\'values\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ParallelDynamicStitch"
    argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ParallelInterleaveDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'sloppy\', \'buffer_output_elements\', \'prefetch_input_elements\', \'f\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ParallelInterleaveDatasetV2"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'num_parallel_calls\', \'f\', \'output_types\', \'output_shapes\', \'sloppy\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ParallelInterleaveDatasetV3"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'num_parallel_calls\', \'f\', \'output_types\', \'output_shapes\', \'deterministic\', \'name\'], varargs=None, keywords=None, defaults=[\'default\', \'None\'], "
  }
  member_method {
    name: "ParallelInterleaveDatasetV4"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'cycle_length\', \'block_length\', \'buffer_output_elements\', \'prefetch_input_elements\', \'num_parallel_calls\', \'f\', \'output_types\', \'output_shapes\', \'deterministic\', \'name\'], varargs=None, keywords=None, defaults=[\'default\', \'None\'], "
  }
  member_method {
    name: "ParallelMapDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'num_parallel_calls\', \'f\', \'output_types\', \'output_shapes\', \'use_inter_op_parallelism\', \'sloppy\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ParallelMapDatasetV2"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'num_parallel_calls\', \'f\', \'output_types\', \'output_shapes\', \'use_inter_op_parallelism\', \'deterministic\', \'preserve_cardinality\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'default\', \'False\', \'None\'], "
  }
  member_method {
    name: "ParameterizedTruncatedNormal"
    argspec: "args=[\'shape\', \'means\', \'stdevs\', \'minvals\', \'maxvals\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "ParseExample"
    argspec: "args=[\'serialized\', \'names\', \'sparse_keys\', \'dense_keys\', \'dense_defaults\', \'sparse_types\', \'dense_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ParseExampleDataset"
    argspec: "args=[\'input_dataset\', \'num_parallel_calls\', \'dense_defaults\', \'sparse_keys\', \'dense_keys\', \'sparse_types\', \'dense_shapes\', \'output_types\', \'output_shapes\', \'sloppy\', \'ragged_keys\', \'ragged_value_types\', \'ragged_split_types\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'[]\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "ParseExampleDatasetV2"
    argspec: "args=[\'input_dataset\', \'num_parallel_calls\', \'dense_defaults\', \'sparse_keys\', \'dense_keys\', \'sparse_types\', \'dense_shapes\', \'output_types\', \'output_shapes\', \'deterministic\', \'ragged_keys\', \'ragged_value_types\', \'ragged_split_types\', \'name\'], varargs=None, keywords=None, defaults=[\'default\', \'[]\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "ParseExampleV2"
    argspec: "args=[\'serialized\', \'names\', \'sparse_keys\', \'dense_keys\', \'ragged_keys\', \'dense_defaults\', \'num_sparse\', \'sparse_types\', \'ragged_value_types\', \'ragged_split_types\', \'dense_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ParseSequenceExample"
    argspec: "args=[\'serialized\', \'debug_name\', \'context_dense_defaults\', \'feature_list_dense_missing_assumed_empty\', \'context_sparse_keys\', \'context_dense_keys\', \'feature_list_sparse_keys\', \'feature_list_dense_keys\', \'Ncontext_sparse\', \'Ncontext_dense\', \'Nfeature_list_sparse\', \'Nfeature_list_dense\', \'context_sparse_types\', \'feature_list_dense_types\', \'context_dense_shapes\', \'feature_list_sparse_types\', \'feature_list_dense_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\', \'[]\', \'[]\', \'[]\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "ParseSequenceExampleV2"
    argspec: "args=[\'serialized\', \'debug_name\', \'context_sparse_keys\', \'context_dense_keys\', \'context_ragged_keys\', \'feature_list_sparse_keys\', \'feature_list_dense_keys\', \'feature_list_ragged_keys\', \'feature_list_dense_missing_assumed_empty\', \'context_dense_defaults\', \'Ncontext_sparse\', \'context_sparse_types\', \'context_ragged_value_types\', \'context_ragged_split_types\', \'context_dense_shapes\', \'Nfeature_list_sparse\', \'Nfeature_list_dense\', \'feature_list_dense_types\', \'feature_list_sparse_types\', \'feature_list_ragged_value_types\', \'feature_list_ragged_split_types\', \'feature_list_dense_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'[]\', \'[]\', \'[]\', \'[]\', \'0\', \'0\', \'[]\', \'[]\', \'[]\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "ParseSingleExample"
    argspec: "args=[\'serialized\', \'dense_defaults\', \'num_sparse\', \'sparse_keys\', \'dense_keys\', \'sparse_types\', \'dense_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ParseSingleSequenceExample"
    argspec: "args=[\'serialized\', \'feature_list_dense_missing_assumed_empty\', \'context_sparse_keys\', \'context_dense_keys\', \'feature_list_sparse_keys\', \'feature_list_dense_keys\', \'context_dense_defaults\', \'debug_name\', \'context_sparse_types\', \'feature_list_dense_types\', \'context_dense_shapes\', \'feature_list_sparse_types\', \'feature_list_dense_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'[]\', \'[]\', \'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "ParseTensor"
    argspec: "args=[\'serialized\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PartitionedCall"
    argspec: "args=[\'args\', \'Tout\', \'f\', \'config\', \'config_proto\', \'executor_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "Placeholder"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "PlaceholderV2"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PlaceholderWithDefault"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Polygamma"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PopulationCount"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Pow"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PrefetchDataset"
    argspec: "args=[\'input_dataset\', \'buffer_size\', \'output_types\', \'output_shapes\', \'slack_period\', \'legacy_autotune\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "Prelinearize"
    argspec: "args=[\'input\', \'shape\', \'layout\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "PrelinearizeTuple"
    argspec: "args=[\'inputs\', \'shapes\', \'layouts\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'None\'], "
  }
  member_method {
    name: "PreventGradient"
    argspec: "args=[\'input\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "Print"
    argspec: "args=[\'input\', \'data\', \'message\', \'first_n\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'-1\', \'3\', \'None\'], "
  }
  member_method {
    name: "PrintV2"
    argspec: "args=[\'input\', \'output_stream\', \'end\', \'name\'], varargs=None, keywords=None, defaults=[\'stderr\', \'\\n\', \'None\'], "
  }
  member_method {
    name: "PriorityQueue"
    argspec: "args=[\'shapes\', \'component_types\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "PriorityQueueV2"
    argspec: "args=[\'shapes\', \'component_types\', \'capacity\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "PrivateThreadPoolDataset"
    argspec: "args=[\'input_dataset\', \'num_threads\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Prod"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "PyFunc"
    argspec: "args=[\'input\', \'token\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "PyFuncStateless"
    argspec: "args=[\'input\', \'token\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Qr"
    argspec: "args=[\'input\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "QuantizeAndDequantize"
    argspec: "args=[\'input\', \'signed_input\', \'num_bits\', \'range_given\', \'input_min\', \'input_max\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'8\', \'False\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "QuantizeAndDequantizeV2"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'signed_input\', \'num_bits\', \'range_given\', \'round_mode\', \'narrow_range\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'8\', \'False\', \'HALF_TO_EVEN\', \'False\', \'-1\', \'None\'], "
  }
  member_method {
    name: "QuantizeAndDequantizeV3"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'num_bits\', \'signed_input\', \'range_given\', \'narrow_range\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'True\', \'False\', \'-1\', \'None\'], "
  }
  member_method {
    name: "QuantizeDownAndShrinkRange"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizeV2"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'T\', \'mode\', \'round_mode\', \'narrow_range\', \'axis\', \'ensure_minimum_range\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'HALF_AWAY_FROM_ZERO\', \'False\', \'-1\', \'0.01\', \'None\'], "
  }
  member_method {
    name: "QuantizedAdd"
    argspec: "args=[\'x\', \'y\', \'min_x\', \'max_x\', \'min_y\', \'max_y\', \'Toutput\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'None\'], "
  }
  member_method {
    name: "QuantizedAvgPool"
    argspec: "args=[\'input\', \'min_input\', \'max_input\', \'ksize\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizedBatchNormWithGlobalNormalization"
    argspec: "args=[\'t\', \'t_min\', \'t_max\', \'m\', \'m_min\', \'m_max\', \'v\', \'v_min\', \'v_max\', \'beta\', \'beta_min\', \'beta_max\', \'gamma\', \'gamma_min\', \'gamma_max\', \'out_type\', \'variance_epsilon\', \'scale_after_normalization\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizedBiasAdd"
    argspec: "args=[\'input\', \'bias\', \'min_input\', \'max_input\', \'min_bias\', \'max_bias\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizedConcat"
    argspec: "args=[\'concat_dim\', \'values\', \'input_mins\', \'input_maxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizedConv2D"
    argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DAndRelu"
    argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DAndReluAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DPerChannel"
    argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBias"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBiasAndRelu"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBiasAndReluAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBiasAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBiasSignedSumAndReluAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'summand\', \'min_summand\', \'max_summand\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBiasSumAndRelu"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'summand\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedConv2DWithBiasSumAndReluAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'summand\', \'min_summand\', \'max_summand\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedDepthwiseConv2D"
    argspec: "args=[\'input\', \'filter\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "QuantizedDepthwiseConv2DWithBias"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'None\'], "
  }
  member_method {
    name: "QuantizedDepthwiseConv2DWithBiasAndRelu"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize"
    argspec: "args=[\'input\', \'filter\', \'bias\', \'min_input\', \'max_input\', \'min_filter\', \'max_filter\', \'min_freezed_output\', \'max_freezed_output\', \'strides\', \'padding\', \'out_type\', \'dilations\', \'padding_list\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'[1, 1, 1, 1]\', \'[]\', \'None\'], "
  }
  member_method {
    name: "QuantizedInstanceNorm"
    argspec: "args=[\'x\', \'x_min\', \'x_max\', \'output_range_given\', \'given_y_min\', \'given_y_max\', \'variance_epsilon\', \'min_separation\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'0\', \'0\', \'1e-05\', \'0.001\', \'None\'], "
  }
  member_method {
    name: "QuantizedMatMul"
    argspec: "args=[\'a\', \'b\', \'min_a\', \'max_a\', \'min_b\', \'max_b\', \'Toutput\', \'transpose_a\', \'transpose_b\', \'Tactivation\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'False\', \'False\', \"<dtype: \'quint8\'>\", \'None\'], "
  }
  member_method {
    name: "QuantizedMatMulWithBias"
    argspec: "args=[\'a\', \'b\', \'bias\', \'min_a\', \'max_a\', \'min_b\', \'max_b\', \'Toutput\', \'transpose_a\', \'transpose_b\', \'input_quant_mode\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'False\', \'False\', \'MIN_FIRST\', \'None\'], "
  }
  member_method {
    name: "QuantizedMatMulWithBiasAndDequantize"
    argspec: "args=[\'a\', \'b\', \'bias\', \'min_a\', \'max_a\', \'min_b\', \'max_b\', \'min_freezed_output\', \'max_freezed_output\', \'Toutput\', \'transpose_a\', \'transpose_b\', \'input_quant_mode\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'MIN_FIRST\', \'None\'], "
  }
  member_method {
    name: "QuantizedMatMulWithBiasAndRelu"
    argspec: "args=[\'a\', \'b\', \'bias\', \'min_a\', \'max_a\', \'min_b\', \'max_b\', \'Toutput\', \'transpose_a\', \'transpose_b\', \'input_quant_mode\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'False\', \'False\', \'MIN_FIRST\', \'None\'], "
  }
  member_method {
    name: "QuantizedMatMulWithBiasAndReluAndRequantize"
    argspec: "args=[\'a\', \'b\', \'bias\', \'min_a\', \'max_a\', \'min_b\', \'max_b\', \'min_freezed_output\', \'max_freezed_output\', \'Toutput\', \'transpose_a\', \'transpose_b\', \'input_quant_mode\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'False\', \'False\', \'MIN_FIRST\', \'None\'], "
  }
  member_method {
    name: "QuantizedMatMulWithBiasAndRequantize"
    argspec: "args=[\'a\', \'b\', \'bias\', \'min_a\', \'max_a\', \'min_b\', \'max_b\', \'min_freezed_output\', \'max_freezed_output\', \'Toutput\', \'transpose_a\', \'transpose_b\', \'input_quant_mode\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'False\', \'False\', \'MIN_FIRST\', \'None\'], "
  }
  member_method {
    name: "QuantizedMaxPool"
    argspec: "args=[\'input\', \'min_input\', \'max_input\', \'ksize\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizedMul"
    argspec: "args=[\'x\', \'y\', \'min_x\', \'max_x\', \'min_y\', \'max_y\', \'Toutput\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'qint32\'>\", \'None\'], "
  }
  member_method {
    name: "QuantizedRelu"
    argspec: "args=[\'features\', \'min_features\', \'max_features\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'None\'], "
  }
  member_method {
    name: "QuantizedRelu6"
    argspec: "args=[\'features\', \'min_features\', \'max_features\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'None\'], "
  }
  member_method {
    name: "QuantizedReluX"
    argspec: "args=[\'features\', \'max_value\', \'min_features\', \'max_features\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'None\'], "
  }
  member_method {
    name: "QuantizedReshape"
    argspec: "args=[\'tensor\', \'shape\', \'input_min\', \'input_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QuantizedResizeBilinear"
    argspec: "args=[\'images\', \'size\', \'min\', \'max\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "QueueClose"
    argspec: "args=[\'handle\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "QueueCloseV2"
    argspec: "args=[\'handle\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "QueueDequeue"
    argspec: "args=[\'handle\', \'component_types\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueDequeueMany"
    argspec: "args=[\'handle\', \'n\', \'component_types\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueDequeueManyV2"
    argspec: "args=[\'handle\', \'n\', \'component_types\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueDequeueUpTo"
    argspec: "args=[\'handle\', \'n\', \'component_types\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueDequeueUpToV2"
    argspec: "args=[\'handle\', \'n\', \'component_types\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueDequeueV2"
    argspec: "args=[\'handle\', \'component_types\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueEnqueue"
    argspec: "args=[\'handle\', \'components\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueEnqueueMany"
    argspec: "args=[\'handle\', \'components\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueEnqueueManyV2"
    argspec: "args=[\'handle\', \'components\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueEnqueueV2"
    argspec: "args=[\'handle\', \'components\', \'timeout_ms\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "QueueIsClosed"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QueueIsClosedV2"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QueueSize"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "QueueSizeV2"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RFFT"
    argspec: "args=[\'input\', \'fft_length\', \'Tcomplex\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\'], "
  }
  member_method {
    name: "RFFT2D"
    argspec: "args=[\'input\', \'fft_length\', \'Tcomplex\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\'], "
  }
  member_method {
    name: "RFFT3D"
    argspec: "args=[\'input\', \'fft_length\', \'Tcomplex\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\'], "
  }
  member_method {
    name: "RGBToHSV"
    argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RaggedBincount"
    argspec: "args=[\'splits\', \'values\', \'size\', \'weights\', \'binary_output\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "RaggedCountSparseOutput"
    argspec: "args=[\'splits\', \'values\', \'weights\', \'binary_count\', \'output_type\', \'minlength\', \'maxlength\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'-1\', \'None\'], "
  }
  member_method {
    name: "RaggedCross"
    argspec: "args=[\'ragged_values\', \'ragged_row_splits\', \'sparse_indices\', \'sparse_values\', \'sparse_shape\', \'dense_inputs\', \'input_order\', \'hashed_output\', \'num_buckets\', \'hash_key\', \'out_values_type\', \'out_row_splits_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RaggedGather"
    argspec: "args=[\'params_nested_splits\', \'params_dense_values\', \'indices\', \'OUTPUT_RAGGED_RANK\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RaggedRange"
    argspec: "args=[\'starts\', \'limits\', \'deltas\', \'Tsplits\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "RaggedTensorFromVariant"
    argspec: "args=[\'encoded_ragged\', \'input_ragged_rank\', \'output_ragged_rank\', \'Tvalues\', \'Tsplits\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "RaggedTensorToSparse"
    argspec: "args=[\'rt_nested_splits\', \'rt_dense_values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RaggedTensorToTensor"
    argspec: "args=[\'shape\', \'values\', \'default_value\', \'row_partition_tensors\', \'row_partition_types\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RaggedTensorToVariant"
    argspec: "args=[\'rt_nested_splits\', \'rt_dense_values\', \'batched_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RandomCrop"
    argspec: "args=[\'image\', \'size\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "RandomDataset"
    argspec: "args=[\'seed\', \'seed2\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RandomGamma"
    argspec: "args=[\'shape\', \'alpha\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "RandomGammaGrad"
    argspec: "args=[\'alpha\', \'sample\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RandomPoisson"
    argspec: "args=[\'shape\', \'rate\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "RandomPoissonV2"
    argspec: "args=[\'shape\', \'rate\', \'seed\', \'seed2\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "RandomShuffle"
    argspec: "args=[\'value\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "RandomShuffleQueue"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'min_after_dequeue\', \'seed\', \'seed2\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'0\', \'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RandomShuffleQueueV2"
    argspec: "args=[\'component_types\', \'shapes\', \'capacity\', \'min_after_dequeue\', \'seed\', \'seed2\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'-1\', \'0\', \'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RandomStandardNormal"
    argspec: "args=[\'shape\', \'dtype\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "RandomUniform"
    argspec: "args=[\'shape\', \'dtype\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "RandomUniformInt"
    argspec: "args=[\'shape\', \'minval\', \'maxval\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Range"
    argspec: "args=[\'start\', \'limit\', \'delta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RangeDataset"
    argspec: "args=[\'start\', \'stop\', \'step\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Rank"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReadFile"
    argspec: "args=[\'filename\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReadVariableOp"
    argspec: "args=[\'resource\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderNumRecordsProduced"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderNumRecordsProducedV2"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderNumWorkUnitsCompleted"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderNumWorkUnitsCompletedV2"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderRead"
    argspec: "args=[\'reader_handle\', \'queue_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderReadUpTo"
    argspec: "args=[\'reader_handle\', \'queue_handle\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderReadUpToV2"
    argspec: "args=[\'reader_handle\', \'queue_handle\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderReadV2"
    argspec: "args=[\'reader_handle\', \'queue_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderReset"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderResetV2"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderRestoreState"
    argspec: "args=[\'reader_handle\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderRestoreStateV2"
    argspec: "args=[\'reader_handle\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderSerializeState"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReaderSerializeStateV2"
    argspec: "args=[\'reader_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Real"
    argspec: "args=[\'input\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "RealDiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RebatchDataset"
    argspec: "args=[\'input_dataset\', \'num_replicas\', \'output_types\', \'output_shapes\', \'use_fallback\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Reciprocal"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReciprocalGrad"
    argspec: "args=[\'y\', \'dy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RecordInput"
    argspec: "args=[\'file_pattern\', \'file_random_seed\', \'file_shuffle_shift_ratio\', \'file_buffer_size\', \'file_parallelism\', \'batch_size\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'301\', \'0\', \'10000\', \'16\', \'32\', \'\', \'None\'], "
  }
  member_method {
    name: "Recv"
    argspec: "args=[\'tensor_type\', \'tensor_name\', \'send_device\', \'send_device_incarnation\', \'recv_device\', \'client_terminated\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "RecvTPUEmbeddingActivations"
    argspec: "args=[\'num_outputs\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReduceDataset"
    argspec: "args=[\'input_dataset\', \'initial_state\', \'other_arguments\', \'f\', \'output_types\', \'output_shapes\', \'use_inter_op_parallelism\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ReduceJoin"
    argspec: "args=[\'inputs\', \'reduction_indices\', \'keep_dims\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'\', \'None\'], "
  }
  member_method {
    name: "RefEnter"
    argspec: "args=[\'data\', \'frame_name\', \'is_constant\', \'parallel_iterations\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'10\', \'None\'], "
  }
  member_method {
    name: "RefExit"
    argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RefIdentity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RefMerge"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RefNextIteration"
    argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RefSelect"
    argspec: "args=[\'index\', \'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RefSwitch"
    argspec: "args=[\'data\', \'pred\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RegexFullMatch"
    argspec: "args=[\'input\', \'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RegexReplace"
    argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "RegisterDataset"
    argspec: "args=[\'dataset\', \'address\', \'protocol\', \'external_state_policy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Relu"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Relu6"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Relu6Grad"
    argspec: "args=[\'gradients\', \'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReluGrad"
    argspec: "args=[\'gradients\', \'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RemoteCall"
    argspec: "args=[\'target\', \'args\', \'Tout\', \'f\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RepeatDataset"
    argspec: "args=[\'input_dataset\', \'count\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RequantizationRange"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RequantizationRangePerChannel"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'clip_value_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Requantize"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'requested_output_min\', \'requested_output_max\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RequantizePerChannel"
    argspec: "args=[\'input\', \'input_min\', \'input_max\', \'requested_output_min\', \'requested_output_max\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'quint8\'>\", \'None\'], "
  }
  member_method {
    name: "Reshape"
    argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResizeArea"
    argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResizeBicubic"
    argspec: "args=[\'images\', \'size\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResizeBicubicGrad"
    argspec: "args=[\'grads\', \'original_image\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResizeBilinear"
    argspec: "args=[\'images\', \'size\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResizeBilinearGrad"
    argspec: "args=[\'grads\', \'original_image\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResizeNearestNeighbor"
    argspec: "args=[\'images\', \'size\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResizeNearestNeighborGrad"
    argspec: "args=[\'grads\', \'size\', \'align_corners\', \'half_pixel_centers\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceAccumulatorApplyGradient"
    argspec: "args=[\'handle\', \'local_step\', \'gradient\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceAccumulatorNumAccumulated"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceAccumulatorSetGlobalStep"
    argspec: "args=[\'handle\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceAccumulatorTakeGradient"
    argspec: "args=[\'handle\', \'num_required\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceApplyAdaMax"
    argspec: "args=[\'var\', \'m\', \'v\', \'beta1_power\', \'lr\', \'beta1\', \'beta2\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAdadelta"
    argspec: "args=[\'var\', \'accum\', \'accum_update\', \'lr\', \'rho\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAdagradDA"
    argspec: "args=[\'var\', \'gradient_accumulator\', \'gradient_squared_accumulator\', \'grad\', \'lr\', \'l1\', \'l2\', \'global_step\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAdagradV2"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'epsilon\', \'grad\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAdam"
    argspec: "args=[\'var\', \'m\', \'v\', \'beta1_power\', \'beta2_power\', \'lr\', \'beta1\', \'beta2\', \'epsilon\', \'grad\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAdamWithAmsgrad"
    argspec: "args=[\'var\', \'m\', \'v\', \'vhat\', \'beta1_power\', \'beta2_power\', \'lr\', \'beta1\', \'beta2\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyAddSign"
    argspec: "args=[\'var\', \'m\', \'lr\', \'alpha\', \'sign_decay\', \'beta\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyCenteredRMSProp"
    argspec: "args=[\'var\', \'mg\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyFtrl"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'lr\', \'l1\', \'l2\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyFtrlV2"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'lr\', \'l1\', \'l2\', \'l2_shrinkage\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyGradientDescent"
    argspec: "args=[\'var\', \'alpha\', \'delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyKerasMomentum"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'momentum\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyMomentum"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'momentum\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyPowerSign"
    argspec: "args=[\'var\', \'m\', \'lr\', \'logbase\', \'sign_decay\', \'beta\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyProximalAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'l1\', \'l2\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyProximalGradientDescent"
    argspec: "args=[\'var\', \'alpha\', \'l1\', \'l2\', \'delta\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceApplyRMSProp"
    argspec: "args=[\'var\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceConditionalAccumulator"
    argspec: "args=[\'dtype\', \'shape\', \'container\', \'shared_name\', \'reduction_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'MEAN\', \'None\'], "
  }
  member_method {
    name: "ResourceCountUpTo"
    argspec: "args=[\'resource\', \'limit\', \'T\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceGather"
    argspec: "args=[\'resource\', \'indices\', \'dtype\', \'batch_dims\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "ResourceGatherNd"
    argspec: "args=[\'resource\', \'indices\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterAdd"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterDiv"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterMax"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterMin"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterMul"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterNdAdd"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ResourceScatterNdSub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ResourceScatterNdUpdate"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ResourceScatterSub"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceScatterUpdate"
    argspec: "args=[\'resource\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyAdadelta"
    argspec: "args=[\'var\', \'accum\', \'accum_update\', \'lr\', \'rho\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'indices\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyAdagradDA"
    argspec: "args=[\'var\', \'gradient_accumulator\', \'gradient_squared_accumulator\', \'grad\', \'indices\', \'lr\', \'l1\', \'l2\', \'global_step\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyAdagradV2"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyCenteredRMSProp"
    argspec: "args=[\'var\', \'mg\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyFtrl"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'indices\', \'lr\', \'l1\', \'l2\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyFtrlV2"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'indices\', \'lr\', \'l1\', \'l2\', \'l2_shrinkage\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyKerasMomentum"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'indices\', \'momentum\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyMomentum"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'indices\', \'momentum\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyProximalAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'l1\', \'l2\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyProximalGradientDescent"
    argspec: "args=[\'var\', \'alpha\', \'l1\', \'l2\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceSparseApplyRMSProp"
    argspec: "args=[\'var\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ResourceStridedSliceAssign"
    argspec: "args=[\'ref\', \'begin\', \'end\', \'strides\', \'value\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Restore"
    argspec: "args=[\'file_pattern\', \'tensor_name\', \'dt\', \'preferred_shard\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "RestoreSlice"
    argspec: "args=[\'file_pattern\', \'tensor_name\', \'shape_and_slice\', \'dt\', \'preferred_shard\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "RestoreV2"
    argspec: "args=[\'prefix\', \'tensor_names\', \'shape_and_slices\', \'dtypes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingADAMParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingADAMParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingAdadeltaParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingAdagradParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingAdagradParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingCenteredRMSPropParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingFTRLParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingFTRLParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingMDLAdagradLightParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingMomentumParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingMomentumParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingProximalAdagradParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingProximalYogiParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingProximalYogiParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingRMSPropParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingStochasticGradientDescentParameters"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug"
    argspec: "args=[\'num_shards\', \'shard_id\', \'table_id\', \'table_name\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "Reverse"
    argspec: "args=[\'tensor\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ReverseSequence"
    argspec: "args=[\'input\', \'seq_lengths\', \'seq_dim\', \'batch_dim\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "ReverseV2"
    argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RightShift"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Rint"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RngSkip"
    argspec: "args=[\'resource\', \'algorithm\', \'delta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Roll"
    argspec: "args=[\'input\', \'shift\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Round"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Rsqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "RsqrtGrad"
    argspec: "args=[\'y\', \'dy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SampleDistortedBoundingBox"
    argspec: "args=[\'image_size\', \'bounding_boxes\', \'seed\', \'seed2\', \'min_object_covered\', \'aspect_ratio_range\', \'area_range\', \'max_attempts\', \'use_image_if_no_bounding_boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0.1\', \'[0.75, 1.33]\', \'[0.05, 1]\', \'100\', \'False\', \'None\'], "
  }
  member_method {
    name: "SampleDistortedBoundingBoxV2"
    argspec: "args=[\'image_size\', \'bounding_boxes\', \'min_object_covered\', \'seed\', \'seed2\', \'aspect_ratio_range\', \'area_range\', \'max_attempts\', \'use_image_if_no_bounding_boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'[0.75, 1.33]\', \'[0.05, 1]\', \'100\', \'False\', \'None\'], "
  }
  member_method {
    name: "SamplingDataset"
    argspec: "args=[\'input_dataset\', \'rate\', \'seed\', \'seed2\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Save"
    argspec: "args=[\'filename\', \'tensor_names\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SaveSlices"
    argspec: "args=[\'filename\', \'tensor_names\', \'shapes_and_slices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SaveV2"
    argspec: "args=[\'prefix\', \'tensor_names\', \'shape_and_slices\', \'tensors\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ScalarSummary"
    argspec: "args=[\'tags\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ScaleAndTranslate"
    argspec: "args=[\'images\', \'size\', \'scale\', \'translation\', \'kernel_type\', \'antialias\', \'name\'], varargs=None, keywords=None, defaults=[\'lanczos3\', \'True\', \'None\'], "
  }
  member_method {
    name: "ScaleAndTranslateGrad"
    argspec: "args=[\'grads\', \'original_image\', \'scale\', \'translation\', \'kernel_type\', \'antialias\', \'name\'], varargs=None, keywords=None, defaults=[\'lanczos3\', \'True\', \'None\'], "
  }
  member_method {
    name: "ScanDataset"
    argspec: "args=[\'input_dataset\', \'initial_state\', \'other_arguments\', \'f\', \'output_types\', \'output_shapes\', \'preserve_cardinality\', \'use_default_device\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "ScatterAdd"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterDiv"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterMax"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterMin"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterMul"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterNd"
    argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ScatterNdAdd"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterNdNonAliasingAdd"
    argspec: "args=[\'input\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ScatterNdSub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterNdUpdate"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ScatterSub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ScatterUpdate"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "SdcaFprint"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SdcaOptimizer"
    argspec: "args=[\'sparse_example_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_weights\', \'example_labels\', \'sparse_indices\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\', \'num_loss_partitions\', \'num_inner_iterations\', \'adaptative\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "SdcaOptimizerV2"
    argspec: "args=[\'sparse_example_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_weights\', \'example_labels\', \'sparse_indices\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\', \'num_loss_partitions\', \'num_inner_iterations\', \'adaptive\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "SdcaShrinkL1"
    argspec: "args=[\'weights\', \'l1\', \'l2\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SegmentMax"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SegmentMean"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SegmentMin"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SegmentProd"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SegmentSum"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Select"
    argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SelectV2"
    argspec: "args=[\'condition\', \'t\', \'e\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SelfAdjointEig"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SelfAdjointEigV2"
    argspec: "args=[\'input\', \'compute_v\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Selu"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SeluGrad"
    argspec: "args=[\'gradients\', \'outputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Send"
    argspec: "args=[\'tensor\', \'tensor_name\', \'send_device\', \'send_device_incarnation\', \'recv_device\', \'client_terminated\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SendTPUEmbeddingGradients"
    argspec: "args=[\'inputs\', \'learning_rates\', \'config\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SerializeIterator"
    argspec: "args=[\'resource_handle\', \'external_state_policy\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "SerializeManySparse"
    argspec: "args=[\'sparse_indices\', \'sparse_values\', \'sparse_shape\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'string\'>\", \'None\'], "
  }
  member_method {
    name: "SerializeSparse"
    argspec: "args=[\'sparse_indices\', \'sparse_values\', \'sparse_shape\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'string\'>\", \'None\'], "
  }
  member_method {
    name: "SerializeTensor"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SetSize"
    argspec: "args=[\'set_indices\', \'set_values\', \'set_shape\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "SetStatsAggregatorDataset"
    argspec: "args=[\'input_dataset\', \'stats_aggregator\', \'tag\', \'counter_prefix\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Shape"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "ShapeN"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "ShardDataset"
    argspec: "args=[\'input_dataset\', \'num_shards\', \'index\', \'output_types\', \'output_shapes\', \'require_non_empty\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ShardedFilename"
    argspec: "args=[\'basename\', \'shard\', \'num_shards\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ShardedFilespec"
    argspec: "args=[\'basename\', \'num_shards\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ShuffleAndRepeatDataset"
    argspec: "args=[\'input_dataset\', \'buffer_size\', \'seed\', \'seed2\', \'count\', \'output_types\', \'output_shapes\', \'reshuffle_each_iteration\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ShuffleAndRepeatDatasetV2"
    argspec: "args=[\'input_dataset\', \'buffer_size\', \'seed\', \'seed2\', \'count\', \'seed_generator\', \'output_types\', \'output_shapes\', \'reshuffle_each_iteration\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ShuffleDataset"
    argspec: "args=[\'input_dataset\', \'buffer_size\', \'seed\', \'seed2\', \'output_types\', \'output_shapes\', \'reshuffle_each_iteration\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ShuffleDatasetV2"
    argspec: "args=[\'input_dataset\', \'buffer_size\', \'seed_generator\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ShuffleDatasetV3"
    argspec: "args=[\'input_dataset\', \'buffer_size\', \'seed\', \'seed2\', \'seed_generator\', \'output_types\', \'output_shapes\', \'reshuffle_each_iteration\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "ShutdownDistributedTPU"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SigmoidGrad"
    argspec: "args=[\'y\', \'dy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Sign"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Sin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Sinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Size"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "SkipDataset"
    argspec: "args=[\'input_dataset\', \'count\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SleepDataset"
    argspec: "args=[\'input_dataset\', \'sleep_microseconds\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Slice"
    argspec: "args=[\'input\', \'begin\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SlidingWindowDataset"
    argspec: "args=[\'input_dataset\', \'window_size\', \'window_shift\', \'window_stride\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Snapshot"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SnapshotDataset"
    argspec: "args=[\'input_dataset\', \'path\', \'output_types\', \'output_shapes\', \'compression\', \'reader_path_prefix\', \'writer_path_prefix\', \'shard_size_bytes\', \'pending_snapshot_expiry_seconds\', \'num_reader_threads\', \'reader_buffer_size\', \'num_writer_threads\', \'writer_buffer_size\', \'shuffle_on_read\', \'seed\', \'seed2\', \'mode\', \'snapshot_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'\', \'10737418240\', \'86400\', \'1\', \'1\', \'1\', \'1\', \'False\', \'0\', \'0\', \'auto\', \'\', \'None\'], "
  }
  member_method {
    name: "SobolSample"
    argspec: "args=[\'dim\', \'num_results\', \'skip\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "Softmax"
    argspec: "args=[\'logits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SoftmaxCrossEntropyWithLogits"
    argspec: "args=[\'features\', \'labels\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Softplus"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SoftplusGrad"
    argspec: "args=[\'gradients\', \'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Softsign"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SoftsignGrad"
    argspec: "args=[\'gradients\', \'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SpaceToBatch"
    argspec: "args=[\'input\', \'paddings\', \'block_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SpaceToBatchND"
    argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SpaceToDepth"
    argspec: "args=[\'input\', \'block_size\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], "
  }
  member_method {
    name: "SparseAccumulatorApplyGradient"
    argspec: "args=[\'handle\', \'local_step\', \'gradient_indices\', \'gradient_values\', \'gradient_shape\', \'has_known_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseAccumulatorTakeGradient"
    argspec: "args=[\'handle\', \'num_required\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseAdd"
    argspec: "args=[\'a_indices\', \'a_values\', \'a_shape\', \'b_indices\', \'b_values\', \'b_shape\', \'thresh\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseAddGrad"
    argspec: "args=[\'backprop_val_grad\', \'a_indices\', \'b_indices\', \'sum_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseApplyAdadelta"
    argspec: "args=[\'var\', \'accum\', \'accum_update\', \'lr\', \'rho\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'indices\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "SparseApplyAdagradDA"
    argspec: "args=[\'var\', \'gradient_accumulator\', \'gradient_squared_accumulator\', \'grad\', \'indices\', \'lr\', \'l1\', \'l2\', \'global_step\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyAdagradV2"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'update_slots\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "SparseApplyCenteredRMSProp"
    argspec: "args=[\'var\', \'mg\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyFtrl"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'indices\', \'lr\', \'l1\', \'l2\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyFtrlV2"
    argspec: "args=[\'var\', \'accum\', \'linear\', \'grad\', \'indices\', \'lr\', \'l1\', \'l2\', \'l2_shrinkage\', \'lr_power\', \'use_locking\', \'multiply_linear_by_lr\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyMomentum"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'grad\', \'indices\', \'momentum\', \'use_locking\', \'use_nesterov\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyProximalAdagrad"
    argspec: "args=[\'var\', \'accum\', \'lr\', \'l1\', \'l2\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyProximalGradientDescent"
    argspec: "args=[\'var\', \'alpha\', \'l1\', \'l2\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseApplyRMSProp"
    argspec: "args=[\'var\', \'ms\', \'mom\', \'lr\', \'rho\', \'momentum\', \'epsilon\', \'grad\', \'indices\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseBincount"
    argspec: "args=[\'indices\', \'values\', \'dense_shape\', \'size\', \'weights\', \'binary_output\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseConcat"
    argspec: "args=[\'indices\', \'values\', \'shapes\', \'concat_dim\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseConditionalAccumulator"
    argspec: "args=[\'dtype\', \'shape\', \'container\', \'shared_name\', \'reduction_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'MEAN\', \'None\'], "
  }
  member_method {
    name: "SparseCountSparseOutput"
    argspec: "args=[\'indices\', \'values\', \'dense_shape\', \'weights\', \'binary_count\', \'output_type\', \'minlength\', \'maxlength\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'-1\', \'None\'], "
  }
  member_method {
    name: "SparseCross"
    argspec: "args=[\'indices\', \'values\', \'shapes\', \'dense_inputs\', \'hashed_output\', \'num_buckets\', \'hash_key\', \'out_type\', \'internal_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseDenseCwiseAdd"
    argspec: "args=[\'sp_indices\', \'sp_values\', \'sp_shape\', \'dense\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseDenseCwiseDiv"
    argspec: "args=[\'sp_indices\', \'sp_values\', \'sp_shape\', \'dense\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseDenseCwiseMul"
    argspec: "args=[\'sp_indices\', \'sp_values\', \'sp_shape\', \'dense\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseFillEmptyRows"
    argspec: "args=[\'indices\', \'values\', \'dense_shape\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseFillEmptyRowsGrad"
    argspec: "args=[\'reverse_index_map\', \'grad_values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatMul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'a_is_sparse\', \'b_is_sparse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseMatrixAdd"
    argspec: "args=[\'a\', \'b\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixMatMul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'adjoint_a\', \'adjoint_b\', \'transpose_output\', \'conjugate_output\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseMatrixMul"
    argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixNNZ"
    argspec: "args=[\'sparse_matrix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixOrderingAMD"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixSoftmax"
    argspec: "args=[\'logits\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixSoftmaxGrad"
    argspec: "args=[\'softmax\', \'grad_softmax\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixSparseCholesky"
    argspec: "args=[\'input\', \'permutation\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseMatrixSparseMatMul"
    argspec: "args=[\'a\', \'b\', \'type\', \'transpose_a\', \'transpose_b\', \'adjoint_a\', \'adjoint_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseMatrixTranspose"
    argspec: "args=[\'input\', \'type\', \'conjugate\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseMatrixZeros"
    argspec: "args=[\'dense_shape\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseReduceMax"
    argspec: "args=[\'input_indices\', \'input_values\', \'input_shape\', \'reduction_axes\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseReduceMaxSparse"
    argspec: "args=[\'input_indices\', \'input_values\', \'input_shape\', \'reduction_axes\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseReduceSum"
    argspec: "args=[\'input_indices\', \'input_values\', \'input_shape\', \'reduction_axes\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseReduceSumSparse"
    argspec: "args=[\'input_indices\', \'input_values\', \'input_shape\', \'reduction_axes\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SparseReorder"
    argspec: "args=[\'input_indices\', \'input_values\', \'input_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseReshape"
    argspec: "args=[\'input_indices\', \'input_shape\', \'new_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentMean"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentMeanGrad"
    argspec: "args=[\'grad\', \'indices\', \'segment_ids\', \'output_dim0\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentMeanWithNumSegments"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentSqrtN"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentSqrtNGrad"
    argspec: "args=[\'grad\', \'indices\', \'segment_ids\', \'output_dim0\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentSqrtNWithNumSegments"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentSum"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSegmentSumWithNumSegments"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSlice"
    argspec: "args=[\'indices\', \'values\', \'shape\', \'start\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSliceGrad"
    argspec: "args=[\'backprop_val_grad\', \'input_indices\', \'input_start\', \'output_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSoftmax"
    argspec: "args=[\'sp_indices\', \'sp_values\', \'sp_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSoftmaxCrossEntropyWithLogits"
    argspec: "args=[\'features\', \'labels\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSparseMaximum"
    argspec: "args=[\'a_indices\', \'a_values\', \'a_shape\', \'b_indices\', \'b_values\', \'b_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSparseMinimum"
    argspec: "args=[\'a_indices\', \'a_values\', \'a_shape\', \'b_indices\', \'b_values\', \'b_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseSplit"
    argspec: "args=[\'split_dim\', \'indices\', \'values\', \'shape\', \'num_split\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseTensorDenseAdd"
    argspec: "args=[\'a_indices\', \'a_values\', \'a_shape\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseTensorDenseMatMul"
    argspec: "args=[\'a_indices\', \'a_values\', \'a_shape\', \'b\', \'adjoint_a\', \'adjoint_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "SparseTensorSliceDataset"
    argspec: "args=[\'indices\', \'values\', \'dense_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseTensorToCSRSparseMatrix"
    argspec: "args=[\'indices\', \'values\', \'dense_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SparseToDense"
    argspec: "args=[\'sparse_indices\', \'output_shape\', \'sparse_values\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "SparseToSparseSetOperation"
    argspec: "args=[\'set1_indices\', \'set1_values\', \'set1_shape\', \'set2_indices\', \'set2_values\', \'set2_shape\', \'set_operation\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Spence"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Split"
    argspec: "args=[\'axis\', \'value\', \'num_split\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SplitV"
    argspec: "args=[\'value\', \'size_splits\', \'axis\', \'num_split\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SqlDataset"
    argspec: "args=[\'driver_name\', \'data_source_name\', \'query\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Sqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SqrtGrad"
    argspec: "args=[\'y\', \'dy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Square"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SquaredDifference"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Squeeze"
    argspec: "args=[\'input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'None\'], "
  }
  member_method {
    name: "Stack"
    argspec: "args=[\'elem_type\', \'stack_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "StackClose"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StackCloseV2"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StackPop"
    argspec: "args=[\'handle\', \'elem_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StackPopV2"
    argspec: "args=[\'handle\', \'elem_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StackPush"
    argspec: "args=[\'handle\', \'elem\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "StackPushV2"
    argspec: "args=[\'handle\', \'elem\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "StackV2"
    argspec: "args=[\'max_size\', \'elem_type\', \'stack_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "Stage"
    argspec: "args=[\'values\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "StageClear"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "StagePeek"
    argspec: "args=[\'index\', \'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "StageSize"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "StatefulPartitionedCall"
    argspec: "args=[\'args\', \'Tout\', \'f\', \'config\', \'config_proto\', \'executor_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "StatefulRandomBinomial"
    argspec: "args=[\'resource\', \'algorithm\', \'shape\', \'counts\', \'probs\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "StatefulStandardNormal"
    argspec: "args=[\'resource\', \'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatefulStandardNormalV2"
    argspec: "args=[\'resource\', \'algorithm\', \'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatefulTruncatedNormal"
    argspec: "args=[\'resource\', \'algorithm\', \'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatefulUniform"
    argspec: "args=[\'resource\', \'algorithm\', \'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatefulUniformFullInt"
    argspec: "args=[\'resource\', \'algorithm\', \'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'uint64\'>\", \'None\'], "
  }
  member_method {
    name: "StatefulUniformInt"
    argspec: "args=[\'resource\', \'algorithm\', \'shape\', \'minval\', \'maxval\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StatelessIf"
    argspec: "args=[\'cond\', \'input\', \'Tout\', \'then_branch\', \'else_branch\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'None\'], "
  }
  member_method {
    name: "StatelessMultinomial"
    argspec: "args=[\'logits\', \'num_samples\', \'seed\', \'output_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "StatelessRandomBinomial"
    argspec: "args=[\'shape\', \'seed\', \'counts\', \'probs\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "StatelessRandomGammaV2"
    argspec: "args=[\'shape\', \'seed\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StatelessRandomNormal"
    argspec: "args=[\'shape\', \'seed\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatelessRandomPoisson"
    argspec: "args=[\'shape\', \'seed\', \'lam\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StatelessRandomUniform"
    argspec: "args=[\'shape\', \'seed\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatelessRandomUniformFullInt"
    argspec: "args=[\'shape\', \'seed\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'uint64\'>\", \'None\'], "
  }
  member_method {
    name: "StatelessRandomUniformInt"
    argspec: "args=[\'shape\', \'seed\', \'minval\', \'maxval\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StatelessTruncatedNormal"
    argspec: "args=[\'shape\', \'seed\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StatelessWhile"
    argspec: "args=[\'input\', \'cond\', \'body\', \'output_shapes\', \'parallel_iterations\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'10\', \'None\'], "
  }
  member_method {
    name: "StaticRegexFullMatch"
    argspec: "args=[\'input\', \'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StaticRegexReplace"
    argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "StatsAggregatorHandle"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "StatsAggregatorHandleV2"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "StatsAggregatorSetSummaryWriter"
    argspec: "args=[\'stats_aggregator\', \'summary\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StatsAggregatorSummary"
    argspec: "args=[\'iterator\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StopGradient"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StridedSlice"
    argspec: "args=[\'input\', \'begin\', \'end\', \'strides\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "StridedSliceAssign"
    argspec: "args=[\'ref\', \'begin\', \'end\', \'strides\', \'value\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "StridedSliceGrad"
    argspec: "args=[\'shape\', \'begin\', \'end\', \'strides\', \'dy\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "StringFormat"
    argspec: "args=[\'inputs\', \'template\', \'placeholder\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'%s\', \'%s\', \'3\', \'None\'], "
  }
  member_method {
    name: "StringJoin"
    argspec: "args=[\'inputs\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "StringLength"
    argspec: "args=[\'input\', \'unit\', \'name\'], varargs=None, keywords=None, defaults=[\'BYTE\', \'None\'], "
  }
  member_method {
    name: "StringLower"
    argspec: "args=[\'input\', \'encoding\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "StringNGrams"
    argspec: "args=[\'data\', \'data_splits\', \'separator\', \'ngram_widths\', \'left_pad\', \'right_pad\', \'pad_width\', \'preserve_short_sequences\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StringSplit"
    argspec: "args=[\'input\', \'delimiter\', \'skip_empty\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "StringSplitV2"
    argspec: "args=[\'input\', \'sep\', \'maxsplit\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "StringStrip"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StringToHashBucket"
    argspec: "args=[\'string_tensor\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StringToHashBucketFast"
    argspec: "args=[\'input\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StringToHashBucketStrong"
    argspec: "args=[\'input\', \'num_buckets\', \'key\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "StringToNumber"
    argspec: "args=[\'string_tensor\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "StringUpper"
    argspec: "args=[\'input\', \'encoding\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "Sub"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Substr"
    argspec: "args=[\'input\', \'pos\', \'len\', \'unit\', \'name\'], varargs=None, keywords=None, defaults=[\'BYTE\', \'None\'], "
  }
  member_method {
    name: "Sum"
    argspec: "args=[\'input\', \'axis\', \'keep_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "SummaryWriter"
    argspec: "args=[\'shared_name\', \'container\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "Svd"
    argspec: "args=[\'input\', \'compute_uv\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "Switch"
    argspec: "args=[\'data\', \'pred\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "SymbolicGradient"
    argspec: "args=[\'input\', \'Tout\', \'f\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TFRecordDataset"
    argspec: "args=[\'filenames\', \'compression_type\', \'buffer_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TFRecordReader"
    argspec: "args=[\'container\', \'shared_name\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "TFRecordReaderV2"
    argspec: "args=[\'container\', \'shared_name\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "TPUCompilationResult"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TPUEmbeddingActivations"
    argspec: "args=[\'embedding_variable\', \'sliced_activations\', \'table_id\', \'lookup_id\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TPUOrdinalSelector"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TPUPartitionedCall"
    argspec: "args=[\'args\', \'device_ordinal\', \'Tout\', \'f\', \'autotuner_thresh\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "TPUReplicateMetadata"
    argspec: "args=[\'num_replicas\', \'num_cores_per_replica\', \'topology\', \'use_tpu\', \'device_assignment\', \'computation_shape\', \'host_compute_core\', \'padding_map\', \'step_marker_location\', \'allow_soft_placement\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'\', \'True\', \'[]\', \'[]\', \'[]\', \'[]\', \'STEP_MARK_AT_ENTRY\', \'False\', \'None\'], "
  }
  member_method {
    name: "TPUReplicatedInput"
    argspec: "args=[\'inputs\', \'is_mirrored_variable\', \'index\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'-1\', \'None\'], "
  }
  member_method {
    name: "TPUReplicatedOutput"
    argspec: "args=[\'input\', \'num_replicas\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TakeDataset"
    argspec: "args=[\'input_dataset\', \'count\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TakeManySparseFromTensorsMap"
    argspec: "args=[\'sparse_handles\', \'dtype\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "TakeWhileDataset"
    argspec: "args=[\'input_dataset\', \'other_arguments\', \'predicate\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Tan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Tanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TanhGrad"
    argspec: "args=[\'y\', \'dy\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TemporaryVariable"
    argspec: "args=[\'shape\', \'dtype\', \'var_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "TensorArray"
    argspec: "args=[\'size\', \'dtype\', \'dynamic_size\', \'clear_after_read\', \'tensor_array_name\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'\', \'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayClose"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayCloseV2"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayCloseV3"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayConcat"
    argspec: "args=[\'handle\', \'flow_in\', \'dtype\', \'element_shape_except0\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayConcatV2"
    argspec: "args=[\'handle\', \'flow_in\', \'dtype\', \'element_shape_except0\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayConcatV3"
    argspec: "args=[\'handle\', \'flow_in\', \'dtype\', \'element_shape_except0\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayGather"
    argspec: "args=[\'handle\', \'indices\', \'flow_in\', \'dtype\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayGatherV2"
    argspec: "args=[\'handle\', \'indices\', \'flow_in\', \'dtype\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayGatherV3"
    argspec: "args=[\'handle\', \'indices\', \'flow_in\', \'dtype\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayGrad"
    argspec: "args=[\'handle\', \'flow_in\', \'source\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayGradV2"
    argspec: "args=[\'handle\', \'flow_in\', \'source\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayGradV3"
    argspec: "args=[\'handle\', \'flow_in\', \'source\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayGradWithShape"
    argspec: "args=[\'handle\', \'flow_in\', \'shape_to_prepend\', \'source\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayPack"
    argspec: "args=[\'handle\', \'flow_in\', \'dtype\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorArrayRead"
    argspec: "args=[\'handle\', \'index\', \'flow_in\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayReadV2"
    argspec: "args=[\'handle\', \'index\', \'flow_in\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayReadV3"
    argspec: "args=[\'handle\', \'index\', \'flow_in\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayScatter"
    argspec: "args=[\'handle\', \'indices\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayScatterV2"
    argspec: "args=[\'handle\', \'indices\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayScatterV3"
    argspec: "args=[\'handle\', \'indices\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArraySize"
    argspec: "args=[\'handle\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArraySizeV2"
    argspec: "args=[\'handle\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArraySizeV3"
    argspec: "args=[\'handle\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArraySplit"
    argspec: "args=[\'handle\', \'value\', \'lengths\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArraySplitV2"
    argspec: "args=[\'handle\', \'value\', \'lengths\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArraySplitV3"
    argspec: "args=[\'handle\', \'value\', \'lengths\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayUnpack"
    argspec: "args=[\'handle\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayV2"
    argspec: "args=[\'size\', \'dtype\', \'element_shape\', \'dynamic_size\', \'clear_after_read\', \'tensor_array_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'True\', \'\', \'None\'], "
  }
  member_method {
    name: "TensorArrayV3"
    argspec: "args=[\'size\', \'dtype\', \'element_shape\', \'dynamic_size\', \'clear_after_read\', \'identical_element_shapes\', \'tensor_array_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'True\', \'False\', \'\', \'None\'], "
  }
  member_method {
    name: "TensorArrayWrite"
    argspec: "args=[\'handle\', \'index\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayWriteV2"
    argspec: "args=[\'handle\', \'index\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorArrayWriteV3"
    argspec: "args=[\'handle\', \'index\', \'value\', \'flow_in\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorDataset"
    argspec: "args=[\'components\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListConcat"
    argspec: "args=[\'input_handle\', \'element_dtype\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "TensorListConcatLists"
    argspec: "args=[\'input_a\', \'input_b\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListConcatV2"
    argspec: "args=[\'input_handle\', \'element_shape\', \'leading_dims\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListElementShape"
    argspec: "args=[\'input_handle\', \'shape_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListFromTensor"
    argspec: "args=[\'tensor\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListGather"
    argspec: "args=[\'input_handle\', \'indices\', \'element_shape\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListGetItem"
    argspec: "args=[\'input_handle\', \'index\', \'element_shape\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListLength"
    argspec: "args=[\'input_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListPopBack"
    argspec: "args=[\'input_handle\', \'element_shape\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListPushBack"
    argspec: "args=[\'input_handle\', \'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListPushBackBatch"
    argspec: "args=[\'input_handles\', \'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListReserve"
    argspec: "args=[\'element_shape\', \'num_elements\', \'element_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListResize"
    argspec: "args=[\'input_handle\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListScatter"
    argspec: "args=[\'tensor\', \'indices\', \'element_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListScatterIntoExistingList"
    argspec: "args=[\'input_handle\', \'tensor\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListScatterV2"
    argspec: "args=[\'tensor\', \'indices\', \'element_shape\', \'num_elements\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListSetItem"
    argspec: "args=[\'input_handle\', \'index\', \'item\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListSplit"
    argspec: "args=[\'tensor\', \'element_shape\', \'lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorListStack"
    argspec: "args=[\'input_handle\', \'element_shape\', \'element_dtype\', \'num_elements\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], "
  }
  member_method {
    name: "TensorScatterAdd"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorScatterSub"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorScatterUpdate"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorSliceDataset"
    argspec: "args=[\'components\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TensorStridedSliceUpdate"
    argspec: "args=[\'input\', \'begin\', \'end\', \'strides\', \'value\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "TensorSummary"
    argspec: "args=[\'tensor\', \'description\', \'labels\', \'display_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'[]\', \'\', \'None\'], "
  }
  member_method {
    name: "TensorSummaryV2"
    argspec: "args=[\'tag\', \'tensor\', \'serialized_summary_metadata\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TextLineDataset"
    argspec: "args=[\'filenames\', \'compression_type\', \'buffer_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TextLineReader"
    argspec: "args=[\'skip_header_lines\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "TextLineReaderV2"
    argspec: "args=[\'skip_header_lines\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "ThreadPoolDataset"
    argspec: "args=[\'input_dataset\', \'thread_pool\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ThreadPoolHandle"
    argspec: "args=[\'num_threads\', \'display_name\', \'max_intra_op_parallelism\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "ThreadUnsafeUnigramCandidateSampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Tile"
    argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TileGrad"
    argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Timestamp"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ToBool"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TopK"
    argspec: "args=[\'input\', \'k\', \'sorted\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "TopKV2"
    argspec: "args=[\'input\', \'k\', \'sorted\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "Transpose"
    argspec: "args=[\'x\', \'perm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TridiagonalMatMul"
    argspec: "args=[\'superdiag\', \'maindiag\', \'subdiag\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TridiagonalSolve"
    argspec: "args=[\'diagonals\', \'rhs\', \'partial_pivoting\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "TruncateDiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TruncateMod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "TruncatedNormal"
    argspec: "args=[\'shape\', \'dtype\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Unbatch"
    argspec: "args=[\'batched_tensor\', \'batch_index\', \'id\', \'timeout_micros\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "UnbatchDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UnbatchGrad"
    argspec: "args=[\'original_input\', \'batch_index\', \'grad\', \'id\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "UnicodeDecode"
    argspec: "args=[\'input\', \'input_encoding\', \'errors\', \'replacement_char\', \'replace_control_characters\', \'Tsplits\', \'name\'], varargs=None, keywords=None, defaults=[\'replace\', \'65533\', \'False\', \"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "UnicodeDecodeWithOffsets"
    argspec: "args=[\'input\', \'input_encoding\', \'errors\', \'replacement_char\', \'replace_control_characters\', \'Tsplits\', \'name\'], varargs=None, keywords=None, defaults=[\'replace\', \'65533\', \'False\', \"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "UnicodeEncode"
    argspec: "args=[\'input_values\', \'input_splits\', \'output_encoding\', \'errors\', \'replacement_char\', \'name\'], varargs=None, keywords=None, defaults=[\'replace\', \'65533\', \'None\'], "
  }
  member_method {
    name: "UnicodeScript"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UnicodeTranscode"
    argspec: "args=[\'input\', \'input_encoding\', \'output_encoding\', \'errors\', \'replacement_char\', \'replace_control_characters\', \'name\'], varargs=None, keywords=None, defaults=[\'replace\', \'65533\', \'False\', \'None\'], "
  }
  member_method {
    name: "UniformCandidateSampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'seed2\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'None\'], "
  }
  member_method {
    name: "Unique"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "UniqueDataset"
    argspec: "args=[\'input_dataset\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UniqueV2"
    argspec: "args=[\'x\', \'axis\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "UniqueWithCounts"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "UniqueWithCountsV2"
    argspec: "args=[\'x\', \'axis\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "Unpack"
    argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "UnravelIndex"
    argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UnsortedSegmentJoin"
    argspec: "args=[\'inputs\', \'segment_ids\', \'num_segments\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "UnsortedSegmentMax"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UnsortedSegmentMin"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UnsortedSegmentProd"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UnsortedSegmentSum"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Unstage"
    argspec: "args=[\'dtypes\', \'capacity\', \'memory_limit\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'\', \'\', \'None\'], "
  }
  member_method {
    name: "UnwrapDatasetVariant"
    argspec: "args=[\'input_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "UpperBound"
    argspec: "args=[\'sorted_inputs\', \'values\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "VarHandleOp"
    argspec: "args=[\'dtype\', \'shape\', \'container\', \'shared_name\', \'allowed_devices\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'[]\', \'None\'], "
  }
  member_method {
    name: "VarIsInitializedOp"
    argspec: "args=[\'resource\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Variable"
    argspec: "args=[\'shape\', \'dtype\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "VariableShape"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "VariableV2"
    argspec: "args=[\'shape\', \'dtype\', \'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "Where"
    argspec: "args=[\'condition\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "While"
    argspec: "args=[\'input\', \'cond\', \'body\', \'output_shapes\', \'parallel_iterations\', \'name\'], varargs=None, keywords=None, defaults=[\'[]\', \'10\', \'None\'], "
  }
  member_method {
    name: "WholeFileReader"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "WholeFileReaderV2"
    argspec: "args=[\'container\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'\', \'None\'], "
  }
  member_method {
    name: "WindowDataset"
    argspec: "args=[\'input_dataset\', \'size\', \'shift\', \'stride\', \'drop_remainder\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WorkerHeartbeat"
    argspec: "args=[\'request\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WrapDatasetVariant"
    argspec: "args=[\'input_handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WriteAudioSummary"
    argspec: "args=[\'writer\', \'step\', \'tag\', \'tensor\', \'sample_rate\', \'max_outputs\', \'name\'], varargs=None, keywords=None, defaults=[\'3\', \'None\'], "
  }
  member_method {
    name: "WriteFile"
    argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WriteGraphSummary"
    argspec: "args=[\'writer\', \'step\', \'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WriteHistogramSummary"
    argspec: "args=[\'writer\', \'step\', \'tag\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WriteImageSummary"
    argspec: "args=[\'writer\', \'step\', \'tag\', \'tensor\', \'bad_color\', \'max_images\', \'name\'], varargs=None, keywords=None, defaults=[\'3\', \'None\'], "
  }
  member_method {
    name: "WriteRawProtoSummary"
    argspec: "args=[\'writer\', \'step\', \'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WriteScalarSummary"
    argspec: "args=[\'writer\', \'step\', \'tag\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "WriteSummary"
    argspec: "args=[\'writer\', \'step\', \'tensor\', \'tag\', \'summary_metadata\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Xdivy"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Xlog1py"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Xlogy"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ZerosLike"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "Zeta"
    argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ZipDataset"
    argspec: "args=[\'input_datasets\', \'output_types\', \'output_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}