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提交 78404faa 编写于 作者: Y Youwei Song 提交者： whs
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cherry-pick #20512 (#20585)

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Showing with 281 addition and 254 deletion
paddle/fluid/API.spec
浏览文件 @ 78404faa
......@@ -532,333 +532,333 @@ paddle.fluid.contrib.match_matrix_tensor (ArgSpec(args=['x', 'y', 'channel_num',
paddle.fluid.contrib.tree_conv (ArgSpec(args=['nodes_vector', 'edge_set', 'output_size', 'num_filters', 'max_depth', 'act', 'param_attr', 'bias_attr', 'name'], varargs=None, keywords=None, defaults=(1, 2, 'tanh', None, None, None)), ('document', '7c727562ebdda38274106d1a9b338e5b'))
paddle.fluid.contrib.BasicGRUUnit ('paddle.fluid.contrib.layers.rnn_impl.BasicGRUUnit', ('document', '2aed2540ed1540f081be9f4d08f2a65e'))
paddle.fluid.contrib.BasicGRUUnit.__init__ (ArgSpec(args=['self', 'name_scope', 'hidden_size', 'param_attr', 'bias_attr', 'gate_activation', 'activation', 'dtype'], varargs=None, keywords=None, defaults=(None, None, None, None, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicGRUUnit.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.contrib.BasicGRUUnit.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.contrib.BasicGRUUnit.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.contrib.BasicGRUUnit.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.contrib.BasicGRUUnit.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicGRUUnit.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicGRUUnit.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.contrib.BasicGRUUnit.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.contrib.BasicGRUUnit.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.contrib.BasicGRUUnit.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.contrib.BasicGRUUnit.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicGRUUnit.forward (ArgSpec(args=['self', 'input', 'pre_hidden'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicGRUUnit.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.contrib.BasicGRUUnit.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.contrib.BasicGRUUnit.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.contrib.BasicGRUUnit.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.contrib.BasicGRUUnit.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.contrib.BasicGRUUnit.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.contrib.BasicGRUUnit.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.contrib.BasicGRUUnit.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.contrib.BasicGRUUnit.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.contrib.BasicGRUUnit.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.contrib.BasicGRUUnit.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.contrib.BasicGRUUnit.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.contrib.BasicGRUUnit.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.basic_gru (ArgSpec(args=['input', 'init_hidden', 'hidden_size', 'num_layers', 'sequence_length', 'dropout_prob', 'bidirectional', 'batch_first', 'param_attr', 'bias_attr', 'gate_activation', 'activation', 'dtype', 'name'], varargs=None, keywords=None, defaults=(1, None, 0.0, False, True, None, None, None, None, 'float32', 'basic_gru')), ('document', '0afcbe4fbe1b8c35eda58b4efe48f9fd'))
paddle.fluid.contrib.BasicLSTMUnit ('paddle.fluid.contrib.layers.rnn_impl.BasicLSTMUnit', ('document', '3d0b2e3172ce58e1304199efee066c99'))
paddle.fluid.contrib.BasicLSTMUnit.__init__ (ArgSpec(args=['self', 'name_scope', 'hidden_size', 'param_attr', 'bias_attr', 'gate_activation', 'activation', 'forget_bias', 'dtype'], varargs=None, keywords=None, defaults=(None, None, None, None, 1.0, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicLSTMUnit.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.contrib.BasicLSTMUnit.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.contrib.BasicLSTMUnit.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.contrib.BasicLSTMUnit.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.contrib.BasicLSTMUnit.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicLSTMUnit.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicLSTMUnit.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.contrib.BasicLSTMUnit.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.contrib.BasicLSTMUnit.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.contrib.BasicLSTMUnit.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.contrib.BasicLSTMUnit.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicLSTMUnit.forward (ArgSpec(args=['self', 'input', 'pre_hidden', 'pre_cell'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.BasicLSTMUnit.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.contrib.BasicLSTMUnit.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.contrib.BasicLSTMUnit.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.contrib.BasicLSTMUnit.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.contrib.BasicLSTMUnit.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.contrib.BasicLSTMUnit.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.contrib.BasicLSTMUnit.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.contrib.BasicLSTMUnit.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.contrib.BasicLSTMUnit.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.contrib.BasicLSTMUnit.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.contrib.BasicLSTMUnit.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.contrib.BasicLSTMUnit.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.contrib.BasicLSTMUnit.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.contrib.basic_lstm (ArgSpec(args=['input', 'init_hidden', 'init_cell', 'hidden_size', 'num_layers', 'sequence_length', 'dropout_prob', 'bidirectional', 'batch_first', 'param_attr', 'bias_attr', 'gate_activation', 'activation', 'forget_bias', 'dtype', 'name'], varargs=None, keywords=None, defaults=(1, None, 0.0, False, True, None, None, None, None, 1.0, 'float32', 'basic_lstm')), ('document', 'fe4d0c3c55a162b8cfe10b05fabb7ce4'))
paddle.fluid.contrib.ctr_metric_bundle (ArgSpec(args=['input', 'label'], varargs=None, keywords=None, defaults=None), ('document', 'b68d12366896c41065fc3738393da2aa'))
paddle.fluid.data (ArgSpec(args=['name', 'shape', 'dtype', 'lod_level'], varargs=None, keywords=None, defaults=('float32', 0)), ('document', 'a44fce9b5c8919bf5937a1cc0fe484ca'))
paddle.fluid.dygraph.Layer ('paddle.fluid.dygraph.layers.Layer', ('document', 'a889d5affd734ede273e94d4257163ab'))
paddle.fluid.dygraph.Layer ('paddle.fluid.dygraph.layers.Layer', ('document', 'ec49de13e8d63aa20b51d24fc53a1d15'))
paddle.fluid.dygraph.Layer.__init__ (ArgSpec(args=['self', 'name_scope', 'dtype'], varargs=None, keywords=None, defaults=(VarType.FP32,)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Layer.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Layer.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Layer.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Layer.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Layer.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Layer.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Layer.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Layer.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Layer.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Layer.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Layer.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Layer.forward (ArgSpec(args=['self'], varargs='inputs', keywords='kwargs', defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Layer.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Layer.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Layer.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Layer.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Layer.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Layer.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Layer.forward (ArgSpec(args=['self'], varargs='inputs', keywords='kwargs', defaults=None), ('document', '5104222707e34611b0f390b9511a9302'))
paddle.fluid.dygraph.Layer.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Layer.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Layer.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Layer.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Layer.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Layer.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Layer.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.__impl__ (ArgSpec(args=['func'], varargs=None, keywords=None, defaults=()), ('document', '75d1d3afccc8b39cdebf05cb1f5969f9'))
paddle.fluid.dygraph.guard (ArgSpec(args=['place'], varargs=None, keywords=None, defaults=(None,)), ('document', '7071320ffe2eec9aacdae574951278c6'))
paddle.fluid.dygraph.guard (ArgSpec(args=['place'], varargs=None, keywords=None, defaults=(None,)), ('document', '6d8d1c0506b36ba807425683db42586f'))
paddle.fluid.dygraph.to_variable (ArgSpec(args=['value', 'block', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '7df6297d66295bdc933e3982caa6f1a8'))
paddle.fluid.dygraph.Conv2D ('paddle.fluid.dygraph.nn.Conv2D', ('document', '10915f3c643e232d9c6789ce20a96869'))
paddle.fluid.dygraph.Conv2D.__init__ (ArgSpec(args=['self', 'name_scope', 'num_filters', 'filter_size', 'stride', 'padding', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'dtype'], varargs=None, keywords=None, defaults=(1, 0, 1, None, None, None, True, None, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2D.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Conv2D.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Conv2D.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Conv2D.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Conv2D.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2D.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2D.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Conv2D.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Conv2D.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Conv2D.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Conv2D.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2D.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2D.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Conv2D.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Conv2D.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Conv2D.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Conv2D.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Conv2D.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Conv2D.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Conv2D.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Conv2D.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Conv2D.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Conv2D.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Conv2D.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Conv2D.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3D ('paddle.fluid.dygraph.nn.Conv3D', ('document', 'f81dee6781d6c18d0e7f5ca66b2fb010'))
paddle.fluid.dygraph.Conv3D.__init__ (ArgSpec(args=['self', 'name_scope', 'num_filters', 'filter_size', 'stride', 'padding', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act'], varargs=None, keywords=None, defaults=(1, 0, 1, None, None, None, True, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3D.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Conv3D.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Conv3D.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Conv3D.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Conv3D.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3D.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3D.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Conv3D.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Conv3D.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Conv3D.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Conv3D.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3D.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3D.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Conv3D.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Conv3D.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Conv3D.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Conv3D.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Conv3D.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Conv3D.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Conv3D.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Conv3D.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Conv3D.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Conv3D.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Conv3D.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Conv3D.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Pool2D ('paddle.fluid.dygraph.nn.Pool2D', ('document', 'ea0b4ef5fd7befb7841cc2f17e66007a'))
paddle.fluid.dygraph.Pool2D.__init__ (ArgSpec(args=['self', 'name_scope', 'pool_size', 'pool_type', 'pool_stride', 'pool_padding', 'global_pooling', 'use_cudnn', 'ceil_mode', 'exclusive', 'dtype'], varargs=None, keywords=None, defaults=(-1, 'max', 1, 0, False, True, False, True, VarType.FP32)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Pool2D.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Pool2D.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Pool2D.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Pool2D.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Pool2D.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Pool2D.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Pool2D.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Pool2D.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Pool2D.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Pool2D.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Pool2D.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Pool2D.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Pool2D.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Pool2D.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Pool2D.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Pool2D.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Pool2D.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Pool2D.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Pool2D.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Pool2D.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Pool2D.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Pool2D.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Pool2D.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Pool2D.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Pool2D.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.FC ('paddle.fluid.dygraph.nn.FC', ('document', '6f4d1855a05f99f5500e042212e5c605'))
paddle.fluid.dygraph.FC.__init__ (ArgSpec(args=['self', 'name_scope', 'size', 'num_flatten_dims', 'param_attr', 'bias_attr', 'act', 'is_test', 'dtype'], varargs=None, keywords=None, defaults=(1, None, None, None, False, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.FC.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.FC.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.FC.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.FC.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.FC.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.FC.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.FC.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.FC.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.FC.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.FC.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.FC.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.FC.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.FC.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.FC.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.FC.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.FC.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.FC.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.FC.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.FC.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.FC.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.FC.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.FC.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.FC.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.FC.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.FC.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BatchNorm ('paddle.fluid.dygraph.nn.BatchNorm', ('document', 'fb93cdf32f21a1c26e784d61a80051a7'))
paddle.fluid.dygraph.BatchNorm.__init__ (ArgSpec(args=['self', 'name_scope', 'num_channels', 'act', 'is_test', 'momentum', 'epsilon', 'param_attr', 'bias_attr', 'dtype', 'data_layout', 'in_place', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var', 'fuse_with_relu', 'use_global_stats', 'trainable_statistics'], varargs=None, keywords=None, defaults=(None, False, 0.9, 1e-05, None, None, 'float32', 'NCHW', False, None, None, True, False, False, False)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BatchNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.BatchNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.BatchNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.BatchNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.BatchNorm.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BatchNorm.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BatchNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.BatchNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.BatchNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.BatchNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.BatchNorm.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BatchNorm.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BatchNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.BatchNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.BatchNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.BatchNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.BatchNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.BatchNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.BatchNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.BatchNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.BatchNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.BatchNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.BatchNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.BatchNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.BatchNorm.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Embedding ('paddle.fluid.dygraph.nn.Embedding', ('document', 'dec90fba70f93ff5dac2f4ed0704dbdd'))
paddle.fluid.dygraph.Embedding.__init__ (ArgSpec(args=['self', 'name_scope', 'size', 'is_sparse', 'is_distributed', 'padding_idx', 'param_attr', 'dtype'], varargs=None, keywords=None, defaults=(False, False, None, None, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Embedding.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Embedding.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Embedding.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Embedding.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Embedding.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Embedding.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Embedding.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Embedding.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Embedding.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Embedding.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Embedding.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Embedding.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Embedding.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Embedding.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Embedding.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Embedding.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Embedding.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Embedding.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Embedding.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Embedding.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Embedding.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Embedding.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Embedding.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Embedding.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Embedding.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GRUUnit ('paddle.fluid.dygraph.nn.GRUUnit', ('document', 'f0e648f0a8d3389f755698dde488dc93'))
paddle.fluid.dygraph.GRUUnit.__init__ (ArgSpec(args=['self', 'name_scope', 'size', 'param_attr', 'bias_attr', 'activation', 'gate_activation', 'origin_mode', 'dtype'], varargs=None, keywords=None, defaults=(None, None, 'tanh', 'sigmoid', False, 'float32')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GRUUnit.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.GRUUnit.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.GRUUnit.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.GRUUnit.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.GRUUnit.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GRUUnit.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GRUUnit.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.GRUUnit.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.GRUUnit.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.GRUUnit.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.GRUUnit.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GRUUnit.forward (ArgSpec(args=['self', 'input', 'hidden'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GRUUnit.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.GRUUnit.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.GRUUnit.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.GRUUnit.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.GRUUnit.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.GRUUnit.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.GRUUnit.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.GRUUnit.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.GRUUnit.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.GRUUnit.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.GRUUnit.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.GRUUnit.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.GRUUnit.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.LayerNorm ('paddle.fluid.dygraph.nn.LayerNorm', ('document', '0d4e428afdc5a3c989ec3270967c3263'))
paddle.fluid.dygraph.LayerNorm.__init__ (ArgSpec(args=['self', 'name_scope', 'scale', 'shift', 'begin_norm_axis', 'epsilon', 'param_attr', 'bias_attr', 'act'], varargs=None, keywords=None, defaults=(True, True, 1, 1e-05, None, None, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.LayerNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.LayerNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.LayerNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.LayerNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.LayerNorm.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.LayerNorm.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.LayerNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.LayerNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.LayerNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.LayerNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.LayerNorm.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.LayerNorm.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.LayerNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.LayerNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.LayerNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.LayerNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.LayerNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.LayerNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.LayerNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.LayerNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.LayerNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.LayerNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.LayerNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.LayerNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.LayerNorm.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.NCE ('paddle.fluid.dygraph.nn.NCE', ('document', '148e58ba1698e0cd60a3490fd4188d04'))
paddle.fluid.dygraph.NCE.__init__ (ArgSpec(args=['self', 'name_scope', 'num_total_classes', 'sample_weight', 'param_attr', 'bias_attr', 'num_neg_samples', 'sampler', 'custom_dist', 'seed', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, 'uniform', None, 0, False)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.NCE.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.NCE.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.NCE.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.NCE.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.NCE.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.NCE.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.NCE.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.NCE.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.NCE.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.NCE.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.NCE.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.NCE.forward (ArgSpec(args=['self', 'input', 'label', 'sample_weight'], varargs=None, keywords=None, defaults=(None,)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.NCE.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.NCE.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.NCE.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.NCE.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.NCE.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.NCE.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.NCE.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.NCE.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.NCE.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.NCE.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.NCE.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.NCE.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.NCE.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.PRelu ('paddle.fluid.dygraph.nn.PRelu', ('document', '58141577833fedf619f2f324eea57e00'))
paddle.fluid.dygraph.PRelu.__init__ (ArgSpec(args=['self', 'name_scope', 'mode', 'param_attr'], varargs=None, keywords=None, defaults=(None,)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.PRelu.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.PRelu.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.PRelu.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.PRelu.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.PRelu.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.PRelu.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.PRelu.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.PRelu.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.PRelu.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.PRelu.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.PRelu.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.PRelu.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.PRelu.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.PRelu.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.PRelu.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.PRelu.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.PRelu.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.PRelu.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.PRelu.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.PRelu.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.PRelu.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.PRelu.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.PRelu.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.PRelu.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.PRelu.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BilinearTensorProduct ('paddle.fluid.dygraph.nn.BilinearTensorProduct', ('document', 'ddea5bc0668a636ded7db09538511c20'))
paddle.fluid.dygraph.BilinearTensorProduct.__init__ (ArgSpec(args=['self', 'name_scope', 'size', 'name', 'act', 'param_attr', 'bias_attr'], varargs=None, keywords=None, defaults=(None, None, None, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BilinearTensorProduct.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.BilinearTensorProduct.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.BilinearTensorProduct.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.BilinearTensorProduct.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.BilinearTensorProduct.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BilinearTensorProduct.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BilinearTensorProduct.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.BilinearTensorProduct.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.BilinearTensorProduct.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.BilinearTensorProduct.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.BilinearTensorProduct.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BilinearTensorProduct.forward (ArgSpec(args=['self', 'x', 'y'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.BilinearTensorProduct.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.BilinearTensorProduct.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.BilinearTensorProduct.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.BilinearTensorProduct.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.BilinearTensorProduct.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.BilinearTensorProduct.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.BilinearTensorProduct.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.BilinearTensorProduct.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.BilinearTensorProduct.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.BilinearTensorProduct.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.BilinearTensorProduct.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.BilinearTensorProduct.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.BilinearTensorProduct.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2DTranspose ('paddle.fluid.dygraph.nn.Conv2DTranspose', ('document', 'cb5e718ff190ee82e9bd144585dd4707'))
paddle.fluid.dygraph.Conv2DTranspose.__init__ (ArgSpec(args=['self', 'name_scope', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2DTranspose.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Conv2DTranspose.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Conv2DTranspose.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Conv2DTranspose.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Conv2DTranspose.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2DTranspose.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2DTranspose.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Conv2DTranspose.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Conv2DTranspose.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Conv2DTranspose.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Conv2DTranspose.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2DTranspose.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv2DTranspose.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Conv2DTranspose.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Conv2DTranspose.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Conv2DTranspose.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Conv2DTranspose.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Conv2DTranspose.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Conv2DTranspose.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Conv2DTranspose.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Conv2DTranspose.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Conv2DTranspose.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Conv2DTranspose.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Conv2DTranspose.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Conv2DTranspose.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3DTranspose ('paddle.fluid.dygraph.nn.Conv3DTranspose', ('document', '0ef981fd6a74aaff21673f9925736ac7'))
paddle.fluid.dygraph.Conv3DTranspose.__init__ (ArgSpec(args=['self', 'name_scope', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3DTranspose.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.Conv3DTranspose.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.Conv3DTranspose.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.Conv3DTranspose.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.Conv3DTranspose.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3DTranspose.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3DTranspose.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.Conv3DTranspose.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.Conv3DTranspose.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.Conv3DTranspose.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.Conv3DTranspose.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3DTranspose.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Conv3DTranspose.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.Conv3DTranspose.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.Conv3DTranspose.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.Conv3DTranspose.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.Conv3DTranspose.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.Conv3DTranspose.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.Conv3DTranspose.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.Conv3DTranspose.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.Conv3DTranspose.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.Conv3DTranspose.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.Conv3DTranspose.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.Conv3DTranspose.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.Conv3DTranspose.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GroupNorm ('paddle.fluid.dygraph.nn.GroupNorm', ('document', 'fb75d41f9f6aa895557caf5315d876cc'))
paddle.fluid.dygraph.GroupNorm.__init__ (ArgSpec(args=['self', 'name_scope', 'groups', 'epsilon', 'param_attr', 'bias_attr', 'act', 'data_layout'], varargs=None, keywords=None, defaults=(1e-05, None, None, None, 'NCHW')), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GroupNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.GroupNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.GroupNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.GroupNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.GroupNorm.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GroupNorm.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GroupNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.GroupNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.GroupNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.GroupNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.GroupNorm.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GroupNorm.forward (ArgSpec(args=['self', 'input'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.GroupNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.GroupNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.GroupNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.GroupNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.GroupNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.GroupNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.GroupNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.GroupNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.GroupNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.GroupNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.GroupNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.GroupNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.GroupNorm.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.SpectralNorm ('paddle.fluid.dygraph.nn.SpectralNorm', ('document', '20a09e11c24d6a96fbb98bce3800bebb'))
paddle.fluid.dygraph.SpectralNorm.__init__ (ArgSpec(args=['self', 'name_scope', 'dim', 'power_iters', 'eps', 'name'], varargs=None, keywords=None, defaults=(0, 1, 1e-12, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.SpectralNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.SpectralNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.SpectralNorm.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.SpectralNorm.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.SpectralNorm.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.SpectralNorm.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.SpectralNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.SpectralNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.SpectralNorm.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.SpectralNorm.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.SpectralNorm.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.SpectralNorm.forward (ArgSpec(args=['self', 'weight'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.SpectralNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.SpectralNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.SpectralNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.SpectralNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.SpectralNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.SpectralNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.SpectralNorm.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.SpectralNorm.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.SpectralNorm.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.SpectralNorm.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.SpectralNorm.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.SpectralNorm.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.SpectralNorm.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.TreeConv ('paddle.fluid.dygraph.nn.TreeConv', ('document', 'cd21d9c15581cf7339ad04794beaa85e'))
paddle.fluid.dygraph.TreeConv.__init__ (ArgSpec(args=['self', 'name_scope', 'output_size', 'num_filters', 'max_depth', 'act', 'param_attr', 'bias_attr', 'name'], varargs=None, keywords=None, defaults=(1, 2, 'tanh', None, None, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.TreeConv.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'f35ab374c7d5165c3daf3bd64a5a2ec1'))
paddle.fluid.dygraph.TreeConv.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '839ff3c0534677ba6ad8735c3fd4e995'))
paddle.fluid.dygraph.TreeConv.add_parameter (ArgSpec(args=['self', 'name', 'parameter'], varargs=None, keywords=None, defaults=None), ('document', 'e75f4ab651bed0c9129a9a2c10aaaa7d'))
paddle.fluid.dygraph.TreeConv.add_sublayer (ArgSpec(args=['self', 'name', 'sublayer'], varargs=None, keywords=None, defaults=None), ('document', '6a48cf74b2c2b5691178a7b726d9c445'))
paddle.fluid.dygraph.TreeConv.backward (ArgSpec(args=['self'], varargs='inputs', keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.TreeConv.clear_gradients (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.TreeConv.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', 'a6420ca1455366eaaf972191612de0b6'))
paddle.fluid.dygraph.TreeConv.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', '171cccfceba636d5bbf7bbae672945d8'))
paddle.fluid.dygraph.TreeConv.create_parameter (ArgSpec(args=['self', 'attr', 'shape', 'dtype', 'is_bias', 'default_initializer'], varargs=None, keywords=None, defaults=(False, None)), ('document', '9ba7081bfb4c7cff4b0b9f040fe5507a'))
paddle.fluid.dygraph.TreeConv.create_variable (ArgSpec(args=['self', 'name', 'persistable', 'dtype', 'type'], varargs=None, keywords=None, defaults=(None, None, None, VarType.LOD_TENSOR)), ('document', 'bcf7b87bb3d116ab780852efe796c51e'))
paddle.fluid.dygraph.TreeConv.eval (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.TreeConv.forward (ArgSpec(args=['self', 'nodes_vector', 'edge_set'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.TreeConv.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '23ce4f961f48ed0f79cadf93a3938ed2'))
paddle.fluid.dygraph.TreeConv.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '0d90496acb61c3884865c6712c3cfd82'))
paddle.fluid.dygraph.TreeConv.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '5aec25a854eb57abc798dccccbb507d5'))
paddle.fluid.dygraph.TreeConv.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '579561dd9ae133ceb8a7ee18c2dd7232'))
paddle.fluid.dygraph.TreeConv.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', '9d689f44592cd22812c7ec06a9654eac'))
paddle.fluid.dygraph.TreeConv.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', '00a881005ecbc96578faf94513bf0d62'))
paddle.fluid.dygraph.TreeConv.full_name (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', 'f1a2198dbca073f490a56e58d96303cb'))
paddle.fluid.dygraph.TreeConv.load_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fb312d9bcc4facbf5a73bfe820dad68e'))
paddle.fluid.dygraph.TreeConv.parameters (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'fc21a09d11fc4bf3b0acbdebffe8e938'))
paddle.fluid.dygraph.TreeConv.set_dict (ArgSpec(args=['self', 'stat_dict', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'f2f3effe7b5de8446fbdbe9c251ab84d'))
paddle.fluid.dygraph.TreeConv.state_dict (ArgSpec(args=['self', 'destination', 'include_sublayers'], varargs=None, keywords=None, defaults=(None, True)), ('document', 'bb62a4e57bc58f171091fe78b1e7f7f3'))
paddle.fluid.dygraph.TreeConv.sublayers (ArgSpec(args=['self', 'include_sublayers'], varargs=None, keywords=None, defaults=(True,)), ('document', 'c960169ad78b8306f5dc16d47e609340'))
paddle.fluid.dygraph.TreeConv.train (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.dygraph.Tracer ('paddle.fluid.dygraph.tracer.Tracer', ('document', '28d72409112111274c33e1f07229d5da'))
paddle.fluid.dygraph.Tracer.__init__ (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
......
python/paddle/fluid/dygraph/base.py
浏览文件 @ 78404faa
......@@ -88,10 +88,11 @@ no_grad.__doc__ = _no_grad_.__doc__
@signature_safe_contextmanager
def guard(place=None):
"""
This context will create a dygraph context for dygraph to run
This context will create a dygraph context for dygraph to run, using python ``with`` statement.
Args:
place(fluid.CPUPlace|fluid.CUDAPlace|None): Place to run
Parameters:
place(fluid.CPUPlace or fluid.CUDAPlace, optional): Place to execute dygraph.
If None, the running place will be determined according to the way of paddle compilation. Default: None
return:
None
......
python/paddle/fluid/dygraph/layers.py
浏览文件 @ 78404faa
......@@ -30,14 +30,20 @@ __all__ = ['Layer']
class Layer(core.Layer):
"""Layers composed of operators.
"""Dynamic graph Layer based on OOD, includes the parameters of the layer, the structure of the forward graph and so on.
Args:
name_scope: prefix name used by the layer to name parameters.
Parameters:
name_scope (str): prefix name used by the layer to name parameters.
If prefix is "my_model/layer_1", parameter name in MyLayer
can be "my_model/layer_1/MyLayer/w_n", where w is the parameter
base name and n is an unique suffix auto-generated.
dtype: data type for the variables in the layer.
dtype(str or core.VarDesc.VarType, optional): data type of this parameter.
If set str, it can be "bool", "float16", "float32", "float64",
"int8", "int16", "int32", "int64", "uint8" or "uint16".
Default: ``core.VarDesc.VarType.FP32``
Returns:
None
"""
def __init__(self, name_scope, dtype=core.VarDesc.VarType.FP32):
......@@ -58,11 +64,10 @@ class Layer(core.Layer):
framework._dygraph_tracer().eval_mode()
def full_name(self):
"""Full name for this layers.
Full name is composed by name_scope + "/" + MyLayer.__class__.__name__
"""Full name for this layer, composed by name_scope + "/" + MyLayer.__class__.__name__
Returns full name of this name.
Returns:
str: full name of this layer.
"""
return self._full_name
......@@ -72,16 +77,21 @@ class Layer(core.Layer):
dtype,
is_bias=False,
default_initializer=None):
"""Create parameters for this layers.
Args:
attr: [ParamAttr] should be the parameter attribute for this parameter
shape: shape of the paramter
dtype: data type of this parameter
is_bias: if this is a bias parameter
default_initializer: set the default initializer for this parameter
"""Create parameters for this layer.
Parameters:
attr(ParamAttr): Parameter attribute of weight. Please refer to :ref:`api_fluid_ParamAttr`
shape(list): shape of the parameter
dtype(str or core.VarDesc.VarType): data type of this parameter.
If set str, it can be "bool", "float16", "float32", "float64",
"int8", "int16", "int32", "int64", "uint8" or "uint16".
is_bias(bool, optional): if this is a bias parameter. Default: False
default_initializer(Initializer, optional): the default initializer for this parameter.
If set None, default initializer will be set to :ref:`api_fluid_initializer_XavierInitializer` and :ref:`api_fluid_initializer_ConstantInitializer`
for non-bias and bias parameter, respectively. Default: None
Returns created parameter Variable.
Returns:
:ref:`api_guide_Variable_en` : created parameter.
"""
if isinstance(attr, ParamAttr) and (attr.name is not None):
attr.name = ".".join([self._full_name, attr.name])
......@@ -96,15 +106,19 @@ class Layer(core.Layer):
persistable=None,
dtype=None,
type=core.VarDesc.VarType.LOD_TENSOR):
"""Create Variable for this layers.
"""Create Variable for this layer.
Args:
name: name of the variable
persistable: if set this variable persistable
dtype: data type of data in the variable
type: type of the variable
Parameters:
name(str, optional): name of the variable. Please refer to :ref:`api_guide_Name` . Default: None
persistable(bool, optional): if set this variable persistable. Default: False
dtype(str or core.VarDesc.VarType, optional): data type of this parameter.
If set str, it can be "bool", "float16", "float32", "float64",
"int8", "int16", "int32", "int64", "uint8" or "uint16".
If set None, it will be ``core.VarDesc.VarType.FP32``. Default: None
type(core.VarDesc.VarType, optional): type of the variable. No need to set this parameter. Default: ``core.VarDesc.VarType.LOD_TENSOR``
Returns created Variable.
Returns:
:ref:`api_guide_Variable_en` : created Variable.
"""
if name is not None:
var_name = ".".join([self._full_name, name])
......@@ -116,13 +130,13 @@ class Layer(core.Layer):
name=var_name, persistable=persistable, dtype=dtype, type=type)
def parameters(self, include_sublayers=True):
"""Returns a list of Parameters from current and sub-layers.
"""Returns a list of all Parameters from current layer and its sub-layers.
Args:
include_sublayers: If true, also include the parameters from
sublayers.
Parameters:
include_sublayers(bool, optional): Whether include the parameters of sublayers. If True, also include the parameters from sublayers. Default: True
Returns a list of Parameters.
Returns:
list of :ref:`api_guide_Variable_en` : a list of Parameters.
"""
ret = [p for p in self._parameters.values()]
if include_sublayers:
......@@ -134,10 +148,11 @@ class Layer(core.Layer):
def sublayers(self, include_sublayers=True):
"""Returns a list of sub layers.
Args:
include_sublayers: If true, also include the layers from sublayers.
Parameters:
include_sublayers(bool, optional): Whether return the sublayers of sublayers. If True, also include the sublayers of sublayers. Default: True
Returns a list of sub layers.
Returns:
list of Layer : a list of sub layers.
"""
ret = [l for l in self._sub_layers.values()]
if include_sublayers:
......@@ -165,6 +180,14 @@ class Layer(core.Layer):
return outputs
def forward(self, *inputs, **kwargs):
"""
Defines the computation performed at every call.
Should be overridden by all subclasses.
Parameters:
*inputs(tuple): unpacked tuple arguments
**kwargs(dict): unpacked dict arguments
"""
raise NotImplementedError
def backward(self, *inputs):
......@@ -173,13 +196,13 @@ class Layer(core.Layer):
def add_sublayer(self, name, sublayer):
"""Adds a sub Layer instance.
Added sublayer can be access like self.name.
Added sublayer can be accessed by self.name
Args:
name: name of this sublayer.
sublayer: an instance of Layer.
Parameters:
name(str): name of this sublayer.
sublayer(Layer): an instance of Layer.
Returns:
the sublayer passed in.
Layer: the sublayer passed in.
"""
assert isinstance(sublayer, core.Layer)
......@@ -189,13 +212,13 @@ class Layer(core.Layer):
def add_parameter(self, name, parameter):
"""Adds a Parameter instance.
Added parameter can be access like self.name.
Added parameter can be accessed by self.name
Args:
name: name of this sublayer.
parameter: an instance of Parameter.
Parameters:
name(str): name of this sublayer.
parameter(Parameter): an instance of Parameter.
Returns:
the parameter passed in.
Parameter: the parameter passed in.
"""
assert isinstance(parameter, framework.Parameter)
......@@ -255,17 +278,18 @@ class Layer(core.Layer):
def state_dict(self, destination=None, include_sublayers=True):
'''
Get all parameter of current and sub-layers. And set all the parameters into a dict
Get all parameters of current layer and its sub-layers. And set all the parameters into a dict
Args:
destination(dict|optical) : If provide, all the parameter will set to this dict . Defaul is None
include_sublayers(bool) : If true, also include the parameters from sublayers.
Parameters:
destination(dict, optional) : If provide, all the parameters will set to this dict . Default: None
include_sublayers(bool, optional) : If true, also include the parameters from sublayers. Default: True
Retruns:
state_dict(dict) : dict contains all the parameters
dict: a dict contains all the parameters
Examples:
.. code-block:: python
import paddle.fluid as fluid
with fluid.dygraph.guard():
emb = fluid.dygraph.Embedding( "emb", [10, 10])
......@@ -293,16 +317,17 @@ class Layer(core.Layer):
def set_dict(self, stat_dict, include_sublayers=True):
'''
Set parameter from stat_dict. All the parameter will be reset by the tensor in the stat_dict
Set parameters from stat_dict. All the parameters will be reset by the tensor in the stat_dict
Args:
state_dict(dict) : Dict contains all the Parameter
include_sublayers(bool) : If true, also include the parameters from sublayers.
Parameters:
state_dict(dict) : Dict contains all the parameters
include_sublayers(bool, optional) : If true, also include the parameters from sublayers. Default: True
Returns:
None
Examples:
.. code-block:: python
import paddle.fluid as fluid
with fluid.dygraph.guard():
emb = fluid.dygraph.Embedding( "emb", [10, 10])
......@@ -319,18 +344,19 @@ class Layer(core.Layer):
def load_dict(self, stat_dict, include_sublayers=True):
'''
Set parameter from stat_dict. All the parameter will be reset by the tensor in the stat_dict
Set parameters from stat_dict. All the parameters will be reset by the tensor in the stat_dict
This api will be Deprecated. Please use set_dict
Args:
state_dict(dict) : Dict contains all the Parameter
include_sublayers(bool) : If true, also include the parameters from sublayers.
Parameters:
state_dict(dict) : Dict contains all the parameters
include_sublayers(bool, optional) : If true, also include the parameters from sublayers. Default: True
Returns:
None
Examples:
.. code-block:: python
import paddle.fluid as fluid
with fluid.dygraph.guard():
emb = fluid.dygraph.Embedding( "emb", [10, 10])
......
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