@@ -56,7 +56,7 @@ paddle.fluid.io.save_persistables (ArgSpec(args=['executor', 'dirname', 'main_pr
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paddle .fluid .io .load_vars (ArgSpec (args = ['executor' , 'dirname' , 'main_program' , 'vars' , 'predicate' , 'filename' ], varargs = None , keywords = None , defaults = (None , None , None , None )), ('document' , '0a5308f496632ab1ec3ba1f1377e6f95' ))
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paddle .fluid .io .load_params (ArgSpec (args = ['executor' , 'dirname' , 'main_program' , 'filename' ], varargs = None , keywords = None , defaults = (None , None )), ('document' , '41779819cef32f2246e83aebc5a002e2' ))
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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' , '582d87b8df75a5a639a107db8ff86f9c ' ))
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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 .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' ))
@@ -109,7 +109,7 @@ paddle.fluid.layers.reduce_prod (ArgSpec(args=['input', 'dim', 'keep_dim', 'name
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paddle .fluid .layers .sequence_first_step (ArgSpec (args = ['input' ], varargs = None , keywords = None , defaults = None ), ('document' , '2b290d3d77882bfe9bb8d331cac8cdd3' ))
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paddle .fluid .layers .sequence_last_step (ArgSpec (args = ['input' ], varargs = None , keywords = None , defaults = None ), ('document' , 'c16a892f44f7fe71bfa5afc32d3f34ce' ))
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paddle .fluid .layers .sequence_slice (ArgSpec (args = ['input' , 'offset' , 'length' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'fdcea0e8b5bc7d8d4b1b072c521014e6' ))
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- paddle .fluid .layers .dropout (ArgSpec (args = ['x' , 'dropout_prob' , 'is_test' , 'seed' , 'name' , 'dropout_implementation' ], varargs = None , keywords = None , defaults = (False , None , None , 'downgrade_in_infer' )), ('document' , 'dc7042734c6d8b8ce97321f017f01d6f ' ))
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+ paddle .fluid .layers .dropout (ArgSpec (args = ['x' , 'dropout_prob' , 'is_test' , 'seed' , 'name' , 'dropout_implementation' ], varargs = None , keywords = None , defaults = (False , None , None , 'downgrade_in_infer' )), ('document' , 'f1dd22f7351f7f9853212958e0d8aa7a ' ))
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paddle .fluid .layers .split (ArgSpec (args = ['input' , 'num_or_sections' , 'dim' , 'name' ], varargs = None , keywords = None , defaults = (- 1 , None )), ('document' , '652625345c2acb900029c78cc75f8aa6' ))
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paddle .fluid .layers .ctc_greedy_decoder (ArgSpec (args = ['input' , 'blank' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'ebbf2adbd79683dc93db03454dfa18c2' ))
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paddle .fluid .layers .edit_distance (ArgSpec (args = ['input' , 'label' , 'normalized' , 'ignored_tokens' ], varargs = None , keywords = None , defaults = (True , None )), ('document' , '97f0262f97602644c83142789d784571' ))
@@ -205,7 +205,7 @@ paddle.fluid.layers.maxout (ArgSpec(args=['x', 'groups', 'name'], varargs=None,
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paddle .fluid .layers .space_to_depth (ArgSpec (args = ['x' , 'blocksize' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '5f207ae10589ebe38a63575ef6ff8e1e' ))
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paddle .fluid .layers .affine_grid (ArgSpec (args = ['theta' , 'out_shape' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '51def402b8910e163cbace9d0c0526ed' ))
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paddle .fluid .layers .sequence_reverse (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '77a6d80aa5551ca70324fc975c44507f' ))
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- paddle .fluid .layers .affine_channel (ArgSpec (args = ['x' , 'scale' , 'bias' , 'data_layout' , 'name' ], varargs = None , keywords = None , defaults = (None , None , 'NCHW' , None )), ('document' , '2f46f1ff39a13ab00857e7b9f44b2fa7 ' ))
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+ paddle .fluid .layers .affine_channel (ArgSpec (args = ['x' , 'scale' , 'bias' , 'data_layout' , 'name' , 'act' ], varargs = None , keywords = None , defaults = (None , None , 'NCHW' , None , None )), ('document' , 'ab84fdc6dc60f3ad9aa397e6007e3bf9 ' ))
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paddle .fluid .layers .similarity_focus (ArgSpec (args = ['input' , 'axis' , 'indexes' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '70e3b5182a18b40b47ecabd7c8490a35' ))
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paddle .fluid .layers .hash (ArgSpec (args = ['input' , 'hash_size' , 'num_hash' , 'name' ], varargs = None , keywords = None , defaults = (1 , None )), ('document' , '9bb77f8dc002dd2ce75d4769eaaf5007' ))
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paddle .fluid .layers .grid_sampler (ArgSpec (args = ['x' , 'grid' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'd256cba1c41a5ed92ce3f31e24a2ca6d' ))
@@ -296,7 +296,7 @@ paddle.fluid.layers.tanh (ArgSpec(args=['x', 'name'], varargs=None, keywords=Non
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paddle .fluid .layers .atan (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '3a46e0b5f9ce82348406478e610f14c9' ))
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paddle .fluid .layers .tanh_shrink (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '1e521554b9fdda9061ec6d306f0709b7' ))
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paddle .fluid .layers .softshrink (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '9eef31597bbafa2bd49691e072296e13' ))
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- paddle .fluid .layers .sqrt (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '072a8541e0f632366bba10f67cb0db27 ' ))
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+ paddle .fluid .layers .sqrt (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'e9e27491c39ac74d0b1ffe506aec0ebb ' ))
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paddle .fluid .layers .abs (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '64650ac42cf82e9920cb0b172b1d29fd' ))
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paddle .fluid .layers .ceil (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , 'c75d67dc5fe28f68e4cfffead4f698ad' ))
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paddle .fluid .layers .floor (ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,)), ('document' , '647b16c5da5ef909649ae02abb434973' ))
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