@@ -87,7 +87,7 @@ paddle.fluid.layers.chunk_eval (ArgSpec(args=['input', 'label', 'chunk_scheme',
8787paddle .fluid .layers .sequence_conv (ArgSpec (args = ['input' , 'num_filters' , 'filter_size' , 'filter_stride' , 'padding' , 'bias_attr' , 'param_attr' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (3 , 1 , None , None , None , None , None )), ('document' , '3d8e8f3e0e1cf520156be37605e83ccd' ))
8888paddle .fluid .layers .conv2d (ArgSpec (args = ['input' , 'num_filters' , 'filter_size' , 'stride' , 'padding' , 'dilation' , 'groups' , 'param_attr' , 'bias_attr' , 'use_cudnn' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (1 , 0 , 1 , None , None , None , True , None , None )), ('document' , '8ca6121acd6d23cd8806a93f493c2e17' ))
8989paddle .fluid .layers .conv3d (ArgSpec (args = ['input' , 'num_filters' , 'filter_size' , 'stride' , 'padding' , 'dilation' , 'groups' , 'param_attr' , 'bias_attr' , 'use_cudnn' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (1 , 0 , 1 , None , None , None , True , None , None )), ('document' , '37042620f9bd3a2da6e5d3138b2f724b' ))
90- paddle .fluid .layers .sequence_pool (ArgSpec (args = ['input' , 'pool_type' , 'is_test' ], varargs = None , keywords = None , defaults = (False ,)), ('document' , 'a194fb80614023f543df3949fbd0d0b8 ' ))
90+ paddle .fluid .layers .sequence_pool (ArgSpec (args = ['input' , 'pool_type' , 'is_test' , 'pad_value' ], varargs = None , keywords = None , defaults = (False , 0.0 )), ('document' , 'e90a93251c52dc4e6fb34fb3991b3f82 ' ))
9191paddle .fluid .layers .sequence_softmax (ArgSpec (args = ['input' , 'use_cudnn' , 'name' ], varargs = None , keywords = None , defaults = (False , None )), ('document' , '19ef6f9cdd27feac8a1ae060f19c10b4' ))
9292paddle .fluid .layers .softmax (ArgSpec (args = ['input' , 'use_cudnn' , 'name' , 'axis' ], varargs = None , keywords = None , defaults = (False , None , - 1 )), ('document' , 'cee673c79e3ff4582656a24e04f841e5' ))
9393paddle .fluid .layers .pool2d (ArgSpec (args = ['input' , 'pool_size' , 'pool_type' , 'pool_stride' , 'pool_padding' , 'global_pooling' , 'use_cudnn' , 'ceil_mode' , 'name' , 'exclusive' ], varargs = None , keywords = None , defaults = (- 1 , 'max' , 1 , 0 , False , True , False , None , True )), ('document' , 'bbd84e855e660cd1084bb71a2fd0cdaa' ))
@@ -176,7 +176,7 @@ paddle.fluid.layers.leaky_relu (ArgSpec(args=['x', 'alpha', 'name'], varargs=Non
176176paddle .fluid .layers .soft_relu (ArgSpec (args = ['x' , 'threshold' , 'name' ], varargs = None , keywords = None , defaults = (40.0 , None )), ('document' , '3490ed5c9835ae039a82979daf3918a4' ))
177177paddle .fluid .layers .flatten (ArgSpec (args = ['x' , 'axis' , 'name' ], varargs = None , keywords = None , defaults = (1 , None )), ('document' , 'cb295c13cb957db85cd9609269d7784d' ))
178178paddle .fluid .layers .sequence_mask (ArgSpec (args = ['x' , 'maxlen' , 'dtype' , 'name' ], varargs = None , keywords = None , defaults = (None , 'int64' , None )), ('document' , '767cea598dee8e2b94f04110fa6b7e67' ))
179- paddle .fluid .layers .stack (ArgSpec (args = ['x' , 'axis' ], varargs = None , keywords = None , defaults = (0 ,)), ('document' , '43a9fef72d45df3bc58f52b93cdb61cb ' ))
179+ paddle .fluid .layers .stack (ArgSpec (args = ['x' , 'axis' ], varargs = None , keywords = None , defaults = (0 ,)), ('document' , 'e8d86c47e92bcb878ff8022b6f66cec2 ' ))
180180paddle .fluid .layers .pad2d (ArgSpec (args = ['input' , 'paddings' , 'mode' , 'pad_value' , 'data_format' , 'name' ], varargs = None , keywords = None , defaults = ([0 , 0 , 0 , 0 ], 'constant' , 0.0 , 'NCHW' , None )), ('document' , '3f3abdb795a5c2aad8c2312249551ce5' ))
181181paddle .fluid .layers .unstack (ArgSpec (args = ['x' , 'axis' , 'num' ], varargs = None , keywords = None , defaults = (0 , None )), ('document' , 'b0c4ca08d4eb295189e1b107c920d093' ))
182182paddle .fluid .layers .sequence_enumerate (ArgSpec (args = ['input' , 'win_size' , 'pad_value' , 'name' ], varargs = None , keywords = None , defaults = (0 , None )), ('document' , '2e49e97069beb57ee89d54ed088ae2da' ))
@@ -196,7 +196,7 @@ paddle.fluid.layers.uniform_random_batch_size_like (ArgSpec(args=['input', 'shap
196196paddle .fluid .layers .gaussian_random (ArgSpec (args = ['shape' , 'mean' , 'std' , 'seed' , 'dtype' ], varargs = None , keywords = None , defaults = (0.0 , 1.0 , 0 , 'float32' )), ('document' , '8c78ccb77e291e4a0f0673d34823ce4b' ))
197197paddle .fluid .layers .sampling_id (ArgSpec (args = ['x' , 'min' , 'max' , 'seed' , 'dtype' ], varargs = None , keywords = None , defaults = (0.0 , 1.0 , 0 , 'float32' )), ('document' , '35428949368cad5121dd37f8522ef8b0' ))
198198paddle .fluid .layers .gaussian_random_batch_size_like (ArgSpec (args = ['input' , 'shape' , 'input_dim_idx' , 'output_dim_idx' , 'mean' , 'std' , 'seed' , 'dtype' ], varargs = None , keywords = None , defaults = (0 , 0 , 0.0 , 1.0 , 0 , 'float32' )), ('document' , '9e520987168f8ddb7dd71ffd68aa352c' ))
199- paddle .fluid .layers .sum (ArgSpec (args = ['x' ], varargs = None , keywords = None , defaults = None ), ('document' , 'a418e3ccb5e2ac21bd60f5cc221d5860 ' ))
199+ paddle .fluid .layers .sum (ArgSpec (args = ['x' ], varargs = None , keywords = None , defaults = None ), ('document' , '4527fd90e222f67b5f7451fb0cf7c845 ' ))
200200paddle .fluid .layers .slice (ArgSpec (args = ['input' , 'axes' , 'starts' , 'ends' ], varargs = None , keywords = None , defaults = None ), ('document' , '3ca6a761570d86e303e473afba99bb49' ))
201201paddle .fluid .layers .shape (ArgSpec (args = ['input' ], varargs = None , keywords = None , defaults = None ), ('document' , 'bf61c8f79d795a8371bdb3b5468aa82b' ))
202202paddle .fluid .layers .rank (ArgSpec (args = ['input' ], varargs = None , keywords = None , defaults = None ), ('document' , 'ee1386c42ecc8f424fe3fb21862fefc2' ))
@@ -238,6 +238,7 @@ paddle.fluid.layers.continuous_value_model (ArgSpec(args=['input', 'cvm', 'use_c
238238paddle .fluid .layers .where (ArgSpec (args = ['condition' ], varargs = None , keywords = None , defaults = None ), ('document' , '3126e3039e752ce26077f1efaca355c6' ))
239239paddle .fluid .layers .sign (ArgSpec (args = ['x' ], varargs = None , keywords = None , defaults = None ), ('document' , 'ccf6bb7912afd2818d24bc45461e807a' ))
240240paddle .fluid .layers .deformable_conv (ArgSpec (args = ['input' , 'offset' , 'mask' , 'num_filters' , 'filter_size' , 'stride' , 'padding' , 'dilation' , 'groups' , 'deformable_groups' , 'im2col_step' , 'param_attr' , 'bias_attr' , 'name' ], varargs = None , keywords = None , defaults = (1 , 0 , 1 , None , None , None , None , None , None )), ('document' , 'c896b66265a60bd3c5510f66e6e02919' ))
241+ paddle .fluid .layers .unfold (ArgSpec (args = ['x' , 'kernel_sizes' , 'strides' , 'paddings' , 'dilations' , 'name' ], varargs = None , keywords = None , defaults = (1 , 0 , 1 , None )), ('document' , '3f884662ad443d9ecc2b3734b4f61ad6' ))
241242paddle .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' , '9e87163ba32003f21d2c9d8c6a605ada' ))
242243paddle .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' , 'dce69a78638da8f7ad80b1fc00ed2029' ))
243244paddle .fluid .layers .read_file (ArgSpec (args = ['reader' ], varargs = None , keywords = None , defaults = None ), ('document' , '32181f6037e387fb6e68a5beaafe33b6' ))
@@ -542,6 +543,15 @@ paddle.fluid.optimizer.ExponentialMovingAverage.__init__ (ArgSpec(args=['self',
542543paddle .fluid .optimizer .ExponentialMovingAverage .apply (ArgSpec (args = ['self' , 'executor' , 'need_restore' ], varargs = None , keywords = None , defaults = (True ,)), ('document' , '30f494752ac8921dc5835a63637f453a' ))
543544paddle .fluid .optimizer .ExponentialMovingAverage .restore (ArgSpec (args = ['self' , 'executor' ], varargs = None , keywords = None , defaults = None ), ('document' , '8c8a1791608b02a1ede53d6dd3a4fcec' ))
544545paddle .fluid .optimizer .ExponentialMovingAverage .update (ArgSpec (args = ['self' ], varargs = None , keywords = None , defaults = None ), ('document' , 'ea10f08af6d7aac3b7974aa976e4085f' ))
546+ paddle .fluid .optimizer .PipelineOptimizer .__init__ (ArgSpec (args = ['self' , 'optimizer' , 'cut_list' , 'place_list' , 'concurrency_list' , 'queue_size' , 'sync_steps' , 'start_cpu_core_id' ], varargs = None , keywords = None , defaults = (None , None , None , 30 , 1 , 0 )), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
547+ paddle .fluid .optimizer .PipelineOptimizer .create_vars (ArgSpec (args = ['self' , 'block' , 'main_program' ], varargs = None , keywords = None , defaults = None ), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
548+ paddle .fluid .optimizer .PipelineOptimizer .extract_section_ops (ArgSpec (args = ['self' , 'ops' , 'cut_point_name' ], varargs = None , keywords = None , defaults = None ), ('document' , '4a29be77da04b5c30dd7202f44c79b70' ))
549+ paddle .fluid .optimizer .PipelineOptimizer .extract_section_opt_ops (ArgSpec (args = ['self' , 'ops' , 'cut_point_name' ], varargs = None , keywords = None , defaults = None ), ('document' , '99e0f641222c1ce4dd0d7194c3b2c653' ))
550+ paddle .fluid .optimizer .PipelineOptimizer .find_input_output (ArgSpec (args = ['self' , 'ops' , 'name' , 'is_forward' ], varargs = None , keywords = None , defaults = (True ,)), ('document' , '92d77fb262766b352746f09cca81db93' ))
551+ paddle .fluid .optimizer .PipelineOptimizer .find_persistable_vars (ArgSpec (args = ['self' , 'ops' , 'whole_parameters' ], varargs = None , keywords = None , defaults = None ), ('document' , '877b7cc290f0647455e5e4409e825923' ))
552+ paddle .fluid .optimizer .PipelineOptimizer .find_section_opt (ArgSpec (args = ['self' , 'ops' , 'params' ], varargs = None , keywords = None , defaults = None ), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
553+ paddle .fluid .optimizer .PipelineOptimizer .minimize (ArgSpec (args = ['self' , 'loss' , 'startup_program' , 'parameter_list' , 'no_grad_set' ], varargs = None , keywords = None , defaults = (None , None , None )), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
554+ paddle .fluid .optimizer .PipelineOptimizer .split_program (ArgSpec (args = ['self' , 'main_program' , 'cut_list' ], varargs = None , keywords = None , defaults = None ), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
545555paddle .fluid .backward .append_backward (ArgSpec (args = ['loss' , 'parameter_list' , 'no_grad_set' , 'callbacks' ], varargs = None , keywords = None , defaults = (None , None , None )), ('document' , '08a5dd9f6f376ff3d55e0b1d92115cbd' ))
546556paddle .fluid .regularizer .L1DecayRegularizer .__init__ (ArgSpec (args = ['self' , 'regularization_coeff' ], varargs = None , keywords = None , defaults = (0.0 ,)), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
547557paddle .fluid .regularizer .L2DecayRegularizer .__init__ (ArgSpec (args = ['self' , 'regularization_coeff' ], varargs = None , keywords = None , defaults = (0.0 ,)), ('document' , '6adf97f83acf6453d4a6a4b1070f3754' ))
0 commit comments