blob: 9332e16bf6320c2a8723242716f7d21bc5bf5138 [file] [log] [blame]
path: "tensorflow"
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member_method {
name: "ceil"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "check_numerics"
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: "cholesky_solve"
argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "clip_by_average_norm"
argspec: "args=[\'t\', \'clip_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "clip_by_global_norm"
argspec: "args=[\'t_list\', \'clip_norm\', \'use_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "clip_by_norm"
argspec: "args=[\'t\', \'clip_norm\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "clip_by_value"
argspec: "args=[\'t\', \'clip_value_min\', \'clip_value_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "colocate_with"
argspec: "args=[\'op\', \'ignore_existing\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "complex"
argspec: "args=[\'real\', \'imag\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "concat"
argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'concat\'], "
}
member_method {
name: "cond"
argspec: "args=[\'pred\', \'true_fn\', \'false_fn\', \'strict\', \'name\', \'fn1\', \'fn2\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "confusion_matrix"
argspec: "args=[\'labels\', \'predictions\', \'num_classes\', \'dtype\', \'name\', \'weights\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\", \'None\', \'None\'], "
}
member_method {
name: "conj"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "constant"
argspec: "args=[\'value\', \'dtype\', \'shape\', \'name\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Const\', \'False\'], "
}
member_method {
name: "container"
argspec: "args=[\'container_name\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "control_dependencies"
argspec: "args=[\'control_inputs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "convert_to_tensor"
argspec: "args=[\'value\', \'dtype\', \'name\', \'preferred_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "convert_to_tensor_or_indexed_slices"
argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "convert_to_tensor_or_sparse_tensor"
argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'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: "count_nonzero"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'dtype\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int64\'>\", \'None\', \'None\', \'None\'], "
}
member_method {
name: "create_partitioned_variables"
argspec: "args=[\'shape\', \'slicing\', \'initializer\', \'dtype\', \'trainable\', \'collections\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'True\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "cross"
argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "cumprod"
argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
}
member_method {
name: "cumsum"
argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
}
member_method {
name: "custom_gradient"
argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "decode_base64"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "decode_compressed"
argspec: "args=[\'bytes\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
}
member_method {
name: "decode_csv"
argspec: "args=[\'records\', \'record_defaults\', \'field_delim\', \'use_quote_delim\', \'name\', \'na_value\', \'select_cols\'], varargs=None, keywords=None, defaults=[\',\', \'True\', \'None\', \'\', \'None\'], "
}
member_method {
name: "decode_json_example"
argspec: "args=[\'json_examples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "decode_raw"
argspec: "args=[\'bytes\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
}
member_method {
name: "delete_session_tensor"
argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "depth_to_space"
argspec: "args=[\'input\', \'block_size\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'NHWC\'], "
}
member_method {
name: "dequantize"
argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\'], "
}
member_method {
name: "deserialize_many_sparse"
argspec: "args=[\'serialized_sparse\', \'dtype\', \'rank\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "device"
argspec: "args=[\'device_name_or_function\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "diag"
argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "diag_part"
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: "div"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "div_no_nan"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "divide"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "dynamic_partition"
argspec: "args=[\'data\', \'partitions\', \'num_partitions\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "dynamic_stitch"
argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "edit_distance"
argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'edit_distance\'], "
}
member_method {
name: "einsum"
argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
}
member_method {
name: "enable_eager_execution"
argspec: "args=[\'config\', \'device_policy\', \'execution_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "encode_base64"
argspec: "args=[\'input\', \'pad\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "ensure_shape"
argspec: "args=[\'x\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "equal"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'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: "executing_eagerly"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "exp"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "expand_dims"
argspec: "args=[\'input\', \'axis\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "expm1"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "extract_image_patches"
argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "eye"
argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
}
member_method {
name: "fake_quant_with_min_max_args"
argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
}
member_method {
name: "fake_quant_with_min_max_args_gradient"
argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
}
member_method {
name: "fake_quant_with_min_max_vars"
argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
}
member_method {
name: "fake_quant_with_min_max_vars_gradient"
argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
}
member_method {
name: "fake_quant_with_min_max_vars_per_channel"
argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
}
member_method {
name: "fake_quant_with_min_max_vars_per_channel_gradient"
argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'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: "fill"
argspec: "args=[\'dims\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "fixed_size_partitioner"
argspec: "args=[\'num_shards\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], "
}
member_method {
name: "floor"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "floor_div"
argspec: "args=[\'x\', \'y\', \'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: "foldl"
argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
}
member_method {
name: "foldr"
argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
}
member_method {
name: "gather"
argspec: "args=[\'params\', \'indices\', \'validate_indices\', \'name\', \'axis\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\'], "
}
member_method {
name: "gather_nd"
argspec: "args=[\'params\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_collection"
argspec: "args=[\'key\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_collection_ref"
argspec: "args=[\'key\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_default_graph"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_default_session"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_local_variable"
argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
}
member_method {
name: "get_seed"
argspec: "args=[\'op_seed\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_session_handle"
argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_session_tensor"
argspec: "args=[\'handle\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "get_variable"
argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
}
member_method {
name: "get_variable_scope"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "global_norm"
argspec: "args=[\'t_list\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "global_variables"
argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "global_variables_initializer"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "gradients"
argspec: "args=[\'ys\', \'xs\', \'grad_ys\', \'name\', \'colocate_gradients_with_ops\', \'gate_gradients\', \'aggregation_method\', \'stop_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'gradients\', \'False\', \'False\', \'None\', \'None\'], "
}
member_method {
name: "greater"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "greater_equal"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "group"
argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
}
member_method {
name: "guarantee_const"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "hessians"
argspec: "args=[\'ys\', \'xs\', \'name\', \'colocate_gradients_with_ops\', \'gate_gradients\', \'aggregation_method\'], varargs=None, keywords=None, defaults=[\'hessians\', \'False\', \'False\', \'None\'], "
}
member_method {
name: "histogram_fixed_width"
argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
}
member_method {
name: "histogram_fixed_width_bins"
argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
}
member_method {
name: "identity"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "identity_n"
argspec: "args=[\'input\', \'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: "igamma"
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: "imag"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "import_graph_def"
argspec: "args=[\'graph_def\', \'input_map\', \'return_elements\', \'name\', \'op_dict\', \'producer_op_list\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "init_scope"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "initialize_all_tables"
argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'init_all_tables\'], "
}
member_method {
name: "initialize_all_variables"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "initialize_local_variables"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "initialize_variables"
argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
}
member_method {
name: "invert_permutation"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "is_finite"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "is_inf"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "is_nan"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "is_non_decreasing"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "is_numeric_tensor"
argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "is_strictly_increasing"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "is_variable_initialized"
argspec: "args=[\'variable\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "lbeta"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "less"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "less_equal"
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: "lin_space"
argspec: "args=[\'start\', \'stop\', \'num\', \'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: "load_file_system_library"
argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "load_op_library"
argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "local_variables"
argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "local_variables_initializer"
argspec: "args=[], varargs=None, keywords=None, defaults=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: "log_sigmoid"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "logical_and"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "logical_not"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "logical_or"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "logical_xor"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'LogicalXor\'], "
}
member_method {
name: "make_ndarray"
argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "make_template"
argspec: "args=[\'name_\', \'func_\', \'create_scope_now_\', \'unique_name_\', \'custom_getter_\'], varargs=None, keywords=kwargs, defaults=[\'False\', \'None\', \'None\'], "
}
member_method {
name: "make_tensor_proto"
argspec: "args=[\'values\', \'dtype\', \'shape\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\'], "
}
member_method {
name: "map_fn"
argspec: "args=[\'fn\', \'elems\', \'dtype\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'True\', \'None\'], "
}
member_method {
name: "matching_files"
argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "matmul"
argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'adjoint_a\', \'adjoint_b\', \'a_is_sparse\', \'b_is_sparse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\', \'False\', \'None\'], "
}
member_method {
name: "matrix_band_part"
argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "matrix_determinant"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "matrix_diag"
argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "matrix_diag_part"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "matrix_inverse"
argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "matrix_set_diag"
argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "matrix_solve"
argspec: "args=[\'matrix\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "matrix_solve_ls"
argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'True\', \'None\'], "
}
member_method {
name: "matrix_transpose"
argspec: "args=[\'a\', \'name\', \'conjugate\'], varargs=None, keywords=None, defaults=[\'matrix_transpose\', \'False\'], "
}
member_method {
name: "matrix_triangular_solve"
argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
}
member_method {
name: "maximum"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "meshgrid"
argspec: "args=[], varargs=args, keywords=kwargs, defaults=None"
}
member_method {
name: "min_max_variable_partitioner"
argspec: "args=[\'max_partitions\', \'axis\', \'min_slice_size\', \'bytes_per_string_element\'], varargs=None, keywords=None, defaults=[\'1\', \'0\', \'262144\', \'16\'], "
}
member_method {
name: "minimum"
argspec: "args=[\'x\', \'y\', \'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: "model_variables"
argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "moving_average_variables"
argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "multinomial"
argspec: "args=[\'logits\', \'num_samples\', \'seed\', \'name\', \'output_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "multiply"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "negative"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "no_op"
argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "no_regularizer"
argspec: "args=[\'_\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "norm"
argspec: "args=[\'tensor\', \'ord\', \'axis\', \'keepdims\', \'name\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'euclidean\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "not_equal"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "one_hot"
argspec: "args=[\'indices\', \'depth\', \'on_value\', \'off_value\', \'axis\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "ones"
argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
}
member_method {
name: "ones_like"
argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
}
member_method {
name: "op_scope"
argspec: "args=[\'values\', \'name\', \'default_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "pad"
argspec: "args=[\'tensor\', \'paddings\', \'mode\', \'name\', \'constant_values\'], varargs=None, keywords=None, defaults=[\'CONSTANT\', \'None\', \'0\'], "
}
member_method {
name: "parallel_stack"
argspec: "args=[\'values\', \'name\'], varargs=None, keywords=None, defaults=[\'parallel_stack\'], "
}
member_method {
name: "parse_example"
argspec: "args=[\'serialized\', \'features\', \'name\', \'example_names\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "parse_single_example"
argspec: "args=[\'serialized\', \'features\', \'name\', \'example_names\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "parse_single_sequence_example"
argspec: "args=[\'serialized\', \'context_features\', \'sequence_features\', \'example_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "parse_tensor"
argspec: "args=[\'serialized\', \'out_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: "placeholder_with_default"
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: "pow"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "py_func"
argspec: "args=[\'func\', \'inp\', \'Tout\', \'stateful\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
}
member_method {
name: "qr"
argspec: "args=[\'input\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "quantize"
argspec: "args=[\'input\', \'min_range\', \'max_range\', \'T\', \'mode\', \'round_mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'HALF_AWAY_FROM_ZERO\', \'None\'], "
}
member_method {
name: "quantize_v2"
argspec: "args=[\'input\', \'min_range\', \'max_range\', \'T\', \'mode\', \'name\', \'round_mode\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\', \'HALF_AWAY_FROM_ZERO\'], "
}
member_method {
name: "quantized_concat"
argspec: "args=[\'concat_dim\', \'values\', \'input_mins\', \'input_maxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "random_crop"
argspec: "args=[\'value\', \'size\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "random_gamma"
argspec: "args=[\'shape\', \'alpha\', \'beta\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
}
member_method {
name: "random_normal"
argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
}
member_method {
name: "random_poisson"
argspec: "args=[\'lam\', \'shape\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\', \'None\'], "
}
member_method {
name: "random_shuffle"
argspec: "args=[\'value\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "random_uniform"
argspec: "args=[\'shape\', \'minval\', \'maxval\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
}
member_method {
name: "range"
argspec: "args=[\'start\', \'limit\', \'delta\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'range\'], "
}
member_method {
name: "rank"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "read_file"
argspec: "args=[\'filename\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "real"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "realdiv"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "reciprocal"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "reduce_all"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_any"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_join"
argspec: "args=[\'inputs\', \'axis\', \'keep_dims\', \'separator\', \'name\', \'reduction_indices\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'\', \'None\', \'None\'], "
}
member_method {
name: "reduce_logsumexp"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_max"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_mean"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_min"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_prod"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reduce_sum"
argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "regex_replace"
argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
}
member_method {
name: "register_tensor_conversion_function"
argspec: "args=[\'base_type\', \'conversion_func\', \'priority\'], varargs=None, keywords=None, defaults=[\'100\'], "
}
member_method {
name: "report_uninitialized_variables"
argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'report_uninitialized_variables\'], "
}
member_method {
name: "required_space_to_batch_paddings"
argspec: "args=[\'input_shape\', \'block_shape\', \'base_paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "reset_default_graph"
argspec: "args=[], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "reshape"
argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "reverse"
argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "reverse_sequence"
argspec: "args=[\'input\', \'seq_lengths\', \'seq_axis\', \'batch_axis\', \'name\', \'seq_dim\', \'batch_dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "reverse_v2"
argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "rint"
argspec: "args=[\'x\', \'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: "saturate_cast"
argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "scalar_mul"
argspec: "args=[\'scalar\', \'x\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "scan"
argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'True\', \'False\', \'None\'], "
}
member_method {
name: "scatter_div"
argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "scatter_max"
argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "scatter_min"
argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "scatter_mul"
argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
}
member_method {
name: "scatter_nd"
argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "segment_max"
argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "segment_mean"
argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "segment_min"
argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "segment_prod"
argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "segment_sum"
argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "self_adjoint_eig"
argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "self_adjoint_eigvals"
argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sequence_mask"
argspec: "args=[\'lengths\', \'maxlen\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'bool\'>\", \'None\'], "
}
member_method {
name: "serialize_many_sparse"
argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'string\'>\"], "
}
member_method {
name: "serialize_sparse"
argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'string\'>\"], "
}
member_method {
name: "serialize_tensor"
argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "set_random_seed"
argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "setdiff1d"
argspec: "args=[\'x\', \'y\', \'index_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
}
member_method {
name: "shape"
argspec: "args=[\'input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\"], "
}
member_method {
name: "shape_n"
argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
}
member_method {
name: "sigmoid"
argspec: "args=[\'x\', \'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\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\"], "
}
member_method {
name: "slice"
argspec: "args=[\'input_\', \'begin\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "space_to_batch"
argspec: "args=[\'input\', \'paddings\', \'block_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "space_to_batch_nd"
argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "space_to_depth"
argspec: "args=[\'input\', \'block_size\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'NHWC\'], "
}
member_method {
name: "sparse_add"
argspec: "args=[\'a\', \'b\', \'thresh\'], varargs=None, keywords=None, defaults=[\'0\'], "
}
member_method {
name: "sparse_concat"
argspec: "args=[\'axis\', \'sp_inputs\', \'name\', \'expand_nonconcat_dim\', \'concat_dim\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
}
member_method {
name: "sparse_fill_empty_rows"
argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_mask"
argspec: "args=[\'a\', \'mask_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_matmul"
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: "sparse_maximum"
argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_merge"
argspec: "args=[\'sp_ids\', \'sp_values\', \'vocab_size\', \'name\', \'already_sorted\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
}
member_method {
name: "sparse_minimum"
argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_placeholder"
argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "sparse_reduce_max"
argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "sparse_reduce_max_sparse"
argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "sparse_reduce_sum"
argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "sparse_reduce_sum_sparse"
argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "sparse_reorder"
argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_reset_shape"
argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_reshape"
argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_retain"
argspec: "args=[\'sp_input\', \'to_retain\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "sparse_segment_mean"
argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "sparse_segment_sqrt_n"
argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "sparse_segment_sum"
argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "sparse_slice"
argspec: "args=[\'sp_input\', \'start\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_softmax"
argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_split"
argspec: "args=[\'keyword_required\', \'sp_input\', \'num_split\', \'axis\', \'name\', \'split_dim\'], varargs=None, keywords=None, defaults=[\'KeywordRequired()\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "sparse_tensor_dense_matmul"
argspec: "args=[\'sp_a\', \'b\', \'adjoint_a\', \'adjoint_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
}
member_method {
name: "sparse_tensor_to_dense"
argspec: "args=[\'sp_input\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
}
member_method {
name: "sparse_to_dense"
argspec: "args=[\'sparse_indices\', \'output_shape\', \'sparse_values\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
}
member_method {
name: "sparse_to_indicator"
argspec: "args=[\'sp_input\', \'vocab_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "sparse_transpose"
argspec: "args=[\'sp_input\', \'perm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "split"
argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'split\'], "
}
member_method {
name: "sqrt"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "square"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "squared_difference"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "squeeze"
argspec: "args=[\'input\', \'axis\', \'name\', \'squeeze_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "stack"
argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'stack\'], "
}
member_method {
name: "stop_gradient"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "strided_slice"
argspec: "args=[\'input_\', \'begin\', \'end\', \'strides\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'var\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'0\', \'0\', \'0\', \'None\', \'None\'], "
}
member_method {
name: "string_join"
argspec: "args=[\'inputs\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
}
member_method {
name: "string_split"
argspec: "args=[\'source\', \'delimiter\', \'skip_empty\'], varargs=None, keywords=None, defaults=[\' \', \'True\'], "
}
member_method {
name: "string_strip"
argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "string_to_hash_bucket"
argspec: "args=[\'string_tensor\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "string_to_hash_bucket_fast"
argspec: "args=[\'input\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "string_to_hash_bucket_strong"
argspec: "args=[\'input\', \'num_buckets\', \'key\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "string_to_number"
argspec: "args=[\'string_tensor\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
}
member_method {
name: "substr"
argspec: "args=[\'input\', \'pos\', \'len\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "subtract"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "svd"
argspec: "args=[\'tensor\', \'full_matrices\', \'compute_uv\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
}
member_method {
name: "tables_initializer"
argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'init_all_tables\'], "
}
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: "tensordot"
argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "tile"
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: "to_bfloat16"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToBFloat16\'], "
}
member_method {
name: "to_complex128"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToComplex128\'], "
}
member_method {
name: "to_complex64"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToComplex64\'], "
}
member_method {
name: "to_double"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToDouble\'], "
}
member_method {
name: "to_float"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToFloat\'], "
}
member_method {
name: "to_int32"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToInt32\'], "
}
member_method {
name: "to_int64"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToInt64\'], "
}
member_method {
name: "trace"
argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "trainable_variables"
argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "transpose"
argspec: "args=[\'a\', \'perm\', \'name\', \'conjugate\'], varargs=None, keywords=None, defaults=[\'None\', \'transpose\', \'False\'], "
}
member_method {
name: "truediv"
argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "truncated_normal"
argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'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: "tuple"
argspec: "args=[\'tensors\', \'name\', \'control_inputs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "unique"
argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
}
member_method {
name: "unique_with_counts"
argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
}
member_method {
name: "unravel_index"
argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unsorted_segment_max"
argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unsorted_segment_mean"
argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unsorted_segment_min"
argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unsorted_segment_prod"
argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unsorted_segment_sqrt_n"
argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unsorted_segment_sum"
argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "unstack"
argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'unstack\'], "
}
member_method {
name: "variable_axis_size_partitioner"
argspec: "args=[\'max_shard_bytes\', \'axis\', \'bytes_per_string_element\', \'max_shards\'], varargs=None, keywords=None, defaults=[\'0\', \'16\', \'None\'], "
}
member_method {
name: "variable_op_scope"
argspec: "args=[\'values\', \'name_or_scope\', \'default_name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'reuse\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "variables_initializer"
argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
}
member_method {
name: "verify_tensor_all_finite"
argspec: "args=[\'t\', \'msg\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "where"
argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
}
member_method {
name: "while_loop"
argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\', \'maximum_iterations\', \'return_same_structure\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\', \'False\'], "
}
member_method {
name: "write_file"
argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "zeros"
argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
}
member_method {
name: "zeros_like"
argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
}
member_method {
name: "zeta"
argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
}