@@ -10,6 +10,9 @@ paddle.fluid.default_startup_program (ArgSpec(args=[], varargs=None, keywords=No
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paddle .fluid .default_main_program (ArgSpec (args = [], varargs = None , keywords = None , defaults = None ), ('document' , '5430f54ab4895f9f47db6bebbaf71659' ))
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paddle .fluid .program_guard (ArgSpec (args = ['main_program' , 'startup_program' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'b54f403e57825a1592aece03afe3afb6' ))
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paddle .fluid .name_scope (ArgSpec (args = ['prefix' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '0ef753f5cec69fef9ae6ad8b867b33a2' ))
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+ paddle .fluid .cuda_places (ArgSpec (args = ['device_ids' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '7d9a51fc9cf3c5245b5227080a8064c3' ))
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+ paddle .fluid .cpu_places (ArgSpec (args = ['device_count' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '4c0cd83f0b401fc2ff84c70974e5d210' ))
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+ paddle .fluid .cuda_pinned_places (ArgSpec (args = ['device_count' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'd0c3ebd813c39958c92b78e3eef7e912' ))
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paddle .fluid .Executor .__init__ (ArgSpec (args = ['self' , 'place' ], varargs = None , keywords = None , defaults = None ), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
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paddle .fluid .Executor .close (ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None ), ('document' , 'f5369953dd0c443961cf79f7a00e1a03' ))
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paddle .fluid .Executor .run (ArgSpec (args = ['self' , 'program' , 'feed' , 'fetch_list' , 'feed_var_name' , 'fetch_var_name' , 'scope' , 'return_numpy' , 'use_program_cache' ], varargs = None , keywords = None , defaults = (None , None , None , 'feed' , 'fetch' , None , True , False )), ('document' , 'f482e93b38b4018796969a2e1dde479d' ))
@@ -44,7 +47,7 @@ paddle.fluid.AsyncExecutor.run (ArgSpec(args=['self', 'program', 'data_feed', 'f
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paddle .fluid .AsyncExecutor .save_model (ArgSpec (args = ['self' , 'save_path' ], varargs = None , keywords = None , defaults = None ), ('document' , 'c8ac0dfcb3b187aba25d03af7fea56b2' ))
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paddle .fluid .AsyncExecutor .stop (ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None ), ('document' , '5f23d043607bb5d55e466ec3f578e093' ))
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paddle .fluid .CompiledProgram .__init__ (ArgSpec (args = ['self' , 'program_or_graph' ], varargs = None , keywords = None , defaults = None ), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
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- paddle .fluid .CompiledProgram .with_data_parallel (ArgSpec (args = ['self' , 'loss_name' , 'build_strategy' , 'exec_strategy' , 'share_vars_from' ], varargs = None , keywords = None , defaults = (None , None , None , None )), ('document' , 'e1af7fd53cf868554f312779fc803864 ' ))
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+ paddle .fluid .CompiledProgram .with_data_parallel (ArgSpec (args = ['self' , 'loss_name' , 'build_strategy' , 'exec_strategy' , 'share_vars_from' , 'places' ], varargs = None , keywords = None , defaults = (None , None , None , None , None )), ('document' , 'a8c7793803cf976680d9478e378fa356 ' ))
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paddle .fluid .CompiledProgram .with_inference_optimize (ArgSpec (args = ['self' , 'config' ], varargs = None , keywords = None , defaults = None ), ('document' , '9e5b009d850191a010e859189c127fd8' ))
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paddle .fluid .ExecutionStrategy .__init__ __init__ (self : paddle .fluid .core .ParallelExecutor .ExecutionStrategy ) - > None
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paddle .fluid .BuildStrategy .GradientScaleStrategy .__init__ __init__ (self : paddle .fluid .core .ParallelExecutor .BuildStrategy .GradientScaleStrategy , arg0 : int ) - > None
@@ -58,6 +61,12 @@ paddle.fluid.io.load_params (ArgSpec(args=['executor', 'dirname', 'main_program'
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paddle .fluid .io .load_persistables (ArgSpec (args = ['executor' , 'dirname' , 'main_program' , 'filename' ], varargs = None , keywords = None , defaults = (None , None )), ('document' , '28df5bfe26ca7a077f91156abb0fe6d2' ))
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paddle .fluid .io .save_inference_model (ArgSpec (args = ['dirname' , 'feeded_var_names' , 'target_vars' , 'executor' , 'main_program' , 'model_filename' , 'params_filename' , 'export_for_deployment' ], varargs = None , keywords = None , defaults = (None , None , None , True )), ('document' , '70f4f53f13572436ac72d1c8b5efeb9d' ))
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paddle .fluid .io .load_inference_model (ArgSpec (args = ['dirname' , 'executor' , 'model_filename' , 'params_filename' , 'pserver_endpoints' ], varargs = None , keywords = None , defaults = (None , None , None )), ('document' , '7a5255386075dac3c75b7058254fcdcb' ))
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+ paddle .fluid .io .PyReader .__init__ (ArgSpec (args = ['self' , 'feed_list' , 'capacity' , 'use_double_buffer' , 'iterable' ], varargs = None , keywords = None , defaults = (True , False )), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
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+ paddle .fluid .io .PyReader .decorate_batch_generator (ArgSpec (args = ['self' , 'reader' , 'places' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'a3fefec8bacd6ce83f49906a9d05e779' ))
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+ paddle .fluid .io .PyReader .decorate_sample_generator (ArgSpec (args = ['self' , 'sample_generator' , 'batch_size' , 'drop_last' , 'places' ], varargs = None , keywords = None , defaults = (True , None )), ('document' , '7abd9cf7d695bab5bb6cf7ded5903cb2' ))
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+ paddle .fluid .io .PyReader .decorate_sample_list_generator (ArgSpec (args = ['self' , 'reader' , 'places' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'faef298f73e91aedcfaf5d184f3109b7' ))
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+ paddle .fluid .io .PyReader .reset (ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None ), ('document' , 'ff1cc1e2beb8824d453656c72c28ddfb' ))
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+ paddle .fluid .io .PyReader .start (ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None ), ('document' , 'b7ea0a548991924e4cfe61a577b8e56d' ))
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paddle .fluid .initializer .ConstantInitializer .__init__ (ArgSpec (args = ['self' , 'value' , 'force_cpu' ], varargs = None , keywords = None , defaults = (0.0 , False )), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
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paddle .fluid .initializer .UniformInitializer .__init__ (ArgSpec (args = ['self' , 'low' , 'high' , 'seed' ], varargs = None , keywords = None , defaults = (- 1.0 , 1.0 , 0 )), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
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paddle .fluid .initializer .NormalInitializer .__init__ (ArgSpec (args = ['self' , 'loc' , 'scale' , 'seed' ], varargs = None , keywords = None , defaults = (0.0 , 1.0 , 0 )), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
@@ -222,14 +231,15 @@ paddle.fluid.layers.teacher_student_sigmoid_loss (ArgSpec(args=['input', 'label'
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paddle .fluid .layers .huber_loss (ArgSpec (args = ['input' , 'label' , 'delta' ], varargs = None , keywords = None , defaults = None ), ('document' , '431a4301c35032166ec029f7432c80a7' ))
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paddle .fluid .layers .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' , '34ea12ac9f10a65dccbc50100d12e607' ))
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paddle .fluid .layers .npair_loss (ArgSpec (args = ['anchor' , 'positive' , 'labels' , 'l2_reg' ], varargs = None , keywords = None , defaults = (0.002 ,)), ('document' , '46994d10276dd4cb803b4062b5d14329' ))
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+ paddle .fluid .layers .fsp_matrix (ArgSpec (args = ['x' , 'y' ], varargs = None , keywords = None , defaults = None ), ('document' , 'b76ccca3735bea4a58a0dbf0d77c5393' ))
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paddle .fluid .layers .data (ArgSpec (args = ['name' , 'shape' , 'append_batch_size' , 'dtype' , 'lod_level' , 'type' , 'stop_gradient' ], varargs = None , keywords = None , defaults = (True , 'float32' , 0 , VarType .LOD_TENSOR , True )), ('document' , '33bbd42027d872b3818b3d64ec52e139' ))
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paddle .fluid .layers .open_files (ArgSpec (args = ['filenames' , 'shapes' , 'lod_levels' , 'dtypes' , 'thread_num' , 'buffer_size' , 'pass_num' , 'is_test' ], varargs = None , keywords = None , defaults = (None , None , 1 , None )), ('document' , 'b1ae2e1cc0750e58726374061ea90ecc' ))
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paddle .fluid .layers .read_file (ArgSpec (args = ['reader' ], varargs = None , keywords = None , defaults = None ), ('document' , 'b0a1c2fc51c27a106da28f3308c41f5e' ))
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paddle .fluid .layers .shuffle (ArgSpec (args = ['reader' , 'buffer_size' ], varargs = None , keywords = None , defaults = None ), ('document' , 'f967a73426db26f970bc70bfb03cffca' ))
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paddle .fluid .layers .batch (ArgSpec (args = ['reader' , 'batch_size' ], varargs = None , keywords = None , defaults = None ), ('document' , 'f563d376d35e1a4c4db100fd11b381a0' ))
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paddle .fluid .layers .double_buffer (ArgSpec (args = ['reader' , 'place' , 'name' ], varargs = None , keywords = None , defaults = (None , None )), ('document' , '07e5b796674796eb1ef3fee9c10d24e3' ))
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paddle .fluid .layers .random_data_generator (ArgSpec (args = ['low' , 'high' , 'shapes' , 'lod_levels' , 'for_parallel' ], varargs = None , keywords = None , defaults = (True ,)), ('document' , '9b7f0f86ec24bbc97643cadcb6499cff' ))
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- paddle .fluid .layers .py_reader (ArgSpec (args = ['capacity' , 'shapes' , 'dtypes' , 'lod_levels' , 'name' , 'use_double_buffer' ], varargs = None , keywords = None , defaults = (None , None , True )), ('document' , '13dabc57863f62ab3141586784ee356b ' ))
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+ paddle .fluid .layers .py_reader (ArgSpec (args = ['capacity' , 'shapes' , 'dtypes' , 'lod_levels' , 'name' , 'use_double_buffer' ], varargs = None , keywords = None , defaults = (None , None , True )), ('document' , '4357643685cfd65454ba5a15f0151709 ' ))
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paddle .fluid .layers .create_py_reader_by_data (ArgSpec (args = ['capacity' , 'feed_list' , 'name' , 'use_double_buffer' ], varargs = None , keywords = None , defaults = (None , True )), ('document' , '350f74d93fab9adb2ac4950f1c26416b' ))
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paddle .fluid .layers .Preprocessor .__init__ (ArgSpec (args = ['self' , 'reader' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
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paddle .fluid .layers .Preprocessor .block (ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None ), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
@@ -510,6 +520,7 @@ paddle.fluid.unique_name.guard (ArgSpec(args=['new_generator'], varargs=None, ke
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paddle .fluid .recordio_writer .convert_reader_to_recordio_file (ArgSpec (args = ['filename' , 'reader_creator' , 'feeder' , 'compressor' , 'max_num_records' , 'feed_order' ], varargs = None , keywords = None , defaults = (Compressor .Snappy , 1000 , None )), ('document' , '65c7523e86f0c50bb729b01667f36310' ))
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paddle .fluid .recordio_writer .convert_reader_to_recordio_files (ArgSpec (args = ['filename' , 'batch_per_file' , 'reader_creator' , 'feeder' , 'compressor' , 'max_num_records' , 'feed_order' ], varargs = None , keywords = None , defaults = (Compressor .Snappy , 1000 , None )), ('document' , 'bc643f0f5f1b9db57ff0d8a57d379bd7' ))
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paddle .fluid .Scope Scope () - > paddle .fluid .core ._Scope
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+ paddle .reader .cache (ArgSpec (args = ['reader' ], varargs = None , keywords = None , defaults = None ), ('document' , '1676886070eb607cb608f7ba47be0d3c' ))
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paddle .reader .map_readers (ArgSpec (args = ['func' ], varargs = 'readers' , keywords = None , defaults = None ), ('document' , '77cbadb09df588e21e5cc0819b69c87d' ))
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paddle .reader .buffered (ArgSpec (args = ['reader' , 'size' ], varargs = None , keywords = None , defaults = None ), ('document' , '0d6186f109feceb99f60ec50a0a624cb' ))
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paddle .reader .compose (ArgSpec (args = [], varargs = 'readers' , keywords = 'kwargs' , defaults = None ), ('document' , '884291104e1c3f37f33aae44b7deeb0d' ))
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