| path: "tensorflow.train.FtrlOptimizer" |
| tf_class { |
| is_instance: "<class \'tensorflow.python.training.ftrl.FtrlOptimizer\'>" |
| is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" |
| is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>" |
| is_instance: "<type \'object\'>" |
| member { |
| name: "GATE_GRAPH" |
| mtype: "<type \'int\'>" |
| } |
| member { |
| name: "GATE_NONE" |
| mtype: "<type \'int\'>" |
| } |
| member { |
| name: "GATE_OP" |
| mtype: "<type \'int\'>" |
| } |
| member_method { |
| name: "__init__" |
| argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\', \'accum_name\', \'linear_name\', \'l2_shrinkage_regularization_strength\', \'beta\'], varargs=None, keywords=None, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'False\', \'Ftrl\', \'None\', \'None\', \'0.0\', \'None\'], " |
| } |
| member_method { |
| name: "apply_gradients" |
| argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " |
| } |
| member_method { |
| name: "compute_gradients" |
| argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " |
| } |
| member_method { |
| name: "get_name" |
| argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "get_slot" |
| argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "get_slot_names" |
| argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" |
| } |
| member_method { |
| name: "minimize" |
| argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " |
| } |
| member_method { |
| name: "variables" |
| argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" |
| } |
| } |