@@ -341,6 +341,26 @@ paddle.fluid.layers.polynomial_decay ArgSpec(args=['learning_rate', 'decay_steps
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paddle .fluid .layers .piecewise_decay ArgSpec (args = ['boundaries' , 'values' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .layers .noam_decay ArgSpec (args = ['d_model' , 'warmup_steps' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .layers .append_LARS ArgSpec (args = ['params_grads' , 'learning_rate' , 'weight_decay' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .InitState .__init__ ArgSpec (args = ['self' , 'init' , 'shape' , 'value' , 'init_boot' , 'need_reorder' , 'dtype' ], varargs = None , keywords = None , defaults = (None , None , 0.0 , None , False , 'float32' ))
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+ paddle .fluid .contrib .StateCell .__init__ ArgSpec (args = ['self' , 'inputs' , 'states' , 'out_state' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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+ paddle .fluid .contrib .StateCell .compute_state ArgSpec (args = ['self' , 'inputs' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .StateCell .get_input ArgSpec (args = ['self' , 'input_name' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .StateCell .get_state ArgSpec (args = ['self' , 'state_name' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .StateCell .out_state ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .StateCell .set_state ArgSpec (args = ['self' , 'state_name' , 'state_value' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .StateCell .state_updater ArgSpec (args = ['self' , 'updater' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .StateCell .update_states ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .TrainingDecoder .__init__ ArgSpec (args = ['self' , 'state_cell' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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+ paddle .fluid .contrib .TrainingDecoder .block ArgSpec (args = [], varargs = 'args' , keywords = 'kwds' , defaults = None )
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+ paddle .fluid .contrib .TrainingDecoder .output ArgSpec (args = ['self' ], varargs = 'outputs' , keywords = None , defaults = None )
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+ paddle .fluid .contrib .TrainingDecoder .static_input ArgSpec (args = ['self' , 'x' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .TrainingDecoder .step_input ArgSpec (args = ['self' , 'x' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .BeamSearchDecoder .__init__ ArgSpec (args = ['self' , 'state_cell' , 'init_ids' , 'init_scores' , 'target_dict_dim' , 'word_dim' , 'input_var_dict' , 'topk_size' , 'sparse_emb' , 'max_len' , 'beam_size' , 'end_id' , 'name' ], varargs = None , keywords = None , defaults = ({}, 50 , True , 100 , 1 , 1 , None ))
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+ paddle .fluid .contrib .BeamSearchDecoder .block ArgSpec (args = [], varargs = 'args' , keywords = 'kwds' , defaults = None )
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+ paddle .fluid .contrib .BeamSearchDecoder .decode ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .BeamSearchDecoder .early_stop ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .contrib .BeamSearchDecoder .read_array ArgSpec (args = ['self' , 'init' , 'is_ids' , 'is_scores' ], varargs = None , keywords = None , defaults = (False , False ))
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+ paddle .fluid .contrib .BeamSearchDecoder .update_array ArgSpec (args = ['self' , 'array' , 'value' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .transpiler .DistributeTranspiler .__init__ ArgSpec (args = ['self' , 'config' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .transpiler .DistributeTranspiler .create_splited_vars ArgSpec (args = ['self' , 'source_var' , 'block' , 'tag' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .transpiler .DistributeTranspiler .get_pserver_program ArgSpec (args = ['self' , 'endpoint' ], varargs = None , keywords = None , defaults = None )
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