@@ -73,7 +73,6 @@ 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 ))
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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 ))
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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 ))
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- paddle .fluid .io .get_inference_program ArgSpec (args = ['target_vars' , 'main_program' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .initializer .ConstantInitializer .__init__ ArgSpec (args = ['self' , 'value' , 'force_cpu' ], varargs = None , keywords = None , defaults = (0.0 , False ))
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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 ))
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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 ))
@@ -296,6 +295,7 @@ paddle.fluid.layers.ssd_loss ArgSpec(args=['location', 'confidence', 'gt_box', '
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paddle .fluid .layers .detection_map ArgSpec (args = ['detect_res' , 'label' , 'class_num' , 'background_label' , 'overlap_threshold' , 'evaluate_difficult' , 'has_state' , 'input_states' , 'out_states' , 'ap_version' ], varargs = None , keywords = None , defaults = (0 , 0.3 , True , None , None , None , 'integral' ))
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paddle .fluid .layers .rpn_target_assign ArgSpec (args = ['bbox_pred' , 'cls_logits' , 'anchor_box' , 'anchor_var' , 'gt_boxes' , 'is_crowd' , 'im_info' , 'rpn_batch_size_per_im' , 'rpn_straddle_thresh' , 'rpn_fg_fraction' , 'rpn_positive_overlap' , 'rpn_negative_overlap' , 'use_random' ], varargs = None , keywords = None , defaults = (256 , 0.0 , 0.5 , 0.7 , 0.3 , True ))
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paddle .fluid .layers .anchor_generator ArgSpec (args = ['input' , 'anchor_sizes' , 'aspect_ratios' , 'variance' , 'stride' , 'offset' , 'name' ], varargs = None , keywords = None , defaults = (None , None , [0.1 , 0.1 , 0.2 , 0.2 ], None , 0.5 , None ))
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+ paddle .fluid .layers .roi_perspective_transform ArgSpec (args = ['input' , 'rois' , 'transformed_height' , 'transformed_width' , 'spatial_scale' ], varargs = None , keywords = None , defaults = (1.0 ,))
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paddle .fluid .layers .generate_proposal_labels ArgSpec (args = ['rpn_rois' , 'gt_classes' , 'is_crowd' , 'gt_boxes' , 'im_info' , 'batch_size_per_im' , 'fg_fraction' , 'fg_thresh' , 'bg_thresh_hi' , 'bg_thresh_lo' , 'bbox_reg_weights' , 'class_nums' , 'use_random' ], varargs = None , keywords = None , defaults = (256 , 0.25 , 0.25 , 0.5 , 0.0 , [0.1 , 0.1 , 0.2 , 0.2 ], None , True ))
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paddle .fluid .layers .generate_proposals ArgSpec (args = ['scores' , 'bbox_deltas' , 'im_info' , 'anchors' , 'variances' , 'pre_nms_top_n' , 'post_nms_top_n' , 'nms_thresh' , 'min_size' , 'eta' , 'name' ], varargs = None , keywords = None , defaults = (6000 , 1000 , 0.5 , 0.1 , 1.0 , None ))
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paddle .fluid .layers .iou_similarity ArgSpec (args = [], varargs = 'args' , keywords = 'kwargs' , defaults = None )
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