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					@ -21,6 +21,7 @@ import platform
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					import inspect
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					import paddle
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					import paddle.fluid
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					import json
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					"""
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					please make sure to run in the tools path
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					usage: python sample_test.py {arg1} 
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					@ -529,203 +530,31 @@ def get_incrementapi():
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					                f.write('\n')
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					'''
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					Important constant lists:
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					    wlist : a list of API that should not trigger the example check .
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					            It is composed of wlist_temp + wlist_inneed + wlist_ignore.
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					    srcfile: the source .py code file
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					'''
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					wlist_inneed = [
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					    "append_LARS", "BuildStrategy.debug_graphviz_path",
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					    "BuildStrategy.enable_sequential_execution",
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					    "BuildStrategy.fuse_elewise_add_act_ops",
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					    "BuildStrategy.fuse_relu_depthwise_conv",
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					    "BuildStrategy.gradient_scale_strategy", "BuildStrategy.reduce_strategy",
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					    "BuildStrategy.remove_unnecessary_lock", "BuildStrategy.sync_batch_norm",
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					    "DynamicRNN.step_input", "DynamicRNN.static_input", "DynamicRNN.block",
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					    "DynamicRNN.update_memory", "DynamicRNN.output",
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					    "transpiler.DistributeTranspilerConfig",
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					    "transpiler.DistributeTranspilerConfig.slice_var_up",
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					    "transpiler.DistributeTranspilerConfig.split_method",
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					    "transpiler.DistributeTranspilerConfig.min_block_size",
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					    "DistributeTranspilerConfig.slice_var_up",
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					    "DistributeTranspilerConfig.split_method", "ModelAverage.apply",
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					    "ModelAverage.restore", "DistributeTranspilerConfig",
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					    "DistributeTranspilerConfig.min_block_size",
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					    "ExecutionStrategy.allow_op_delay", "load", "Accuracy.update",
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					    "ChunkEvaluator.update", "ExecutionStrategy.num_iteration_per_drop_scope",
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					    "ExecutionStrategy.num_threads", "CompiledProgram._with_inference_optimize",
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					    "CompositeMetric.add_metric", "CompositeMetric.update",
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					    "CompositeMetric.eval", "DetectionMAP.get_map_var", "MetricBase",
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					    "MetricBase.reset", "MetricBase.get_config", "MetricBase.update",
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					    "MetricBase.eval", "Accuracy.eval", "Auc.update", "Auc.eval",
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					    "EditDistance.update", "EditDistance.eval",
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					    "ExponentialMovingAverage.apply", "ExponentialMovingAverage.restore",
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					    "ExponentialMovingAverage.update", "StaticRNN.step", "StaticRNN.step_input",
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					    "StaticRNN.step_output", "StaticRNN.update_memory", "DetectionMAP.reset",
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					    'StaticRNN.output', "cuda_places", "CUDAPinnedPlace", "CUDAPlace",
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					    "Program.parse_from_string"
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					]
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					wlist_nosample = [
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					    'Compressor', 'Compressor.config', 'Compressor.run', 'run_check',
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					    'HDFSClient.upload', 'HDFSClient.download', 'HDFSClient.is_exist',
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					    'HDFSClient.is_dir', 'HDFSClient.delete', 'HDFSClient.rename',
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					    'HDFSClient.makedirs', 'HDFSClient.ls', 'HDFSClient.lsr', 'multi_download',
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					    'multi_upload', 'TrainingDecoder.block',
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					    'QuantizeTranspiler.training_transpile',
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					    'QuantizeTranspiler.freeze_program', 'AutoMixedPrecisionLists',
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					    'Uniform.sample', 'Uniform.log_prob', 'Uniform.entropy',
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					    'Categorical.kl_divergence', 'Categorical.entropy',
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					    'MultivariateNormalDiag.entropy', 'MultivariateNormalDiag.kl_divergence',
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					    'RNNCell', 'RNNCell.call', 'RNNCell.get_initial_states', 'GRUCell.call',
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					    'LSTMCell.call', 'Decoder', 'Decoder.initialize', 'Decoder.step',
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					    'Decoder.finalize', 'fused_elemwise_activation', 'search_pyramid_hash',
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					    'convert_dist_to_sparse_program', 'load_persistables_for_increment',
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					    'load_persistables_for_inference', 'cache', 'buffered', 'xmap_readers'
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					]
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					wlist_no_op_pass = ['gelu', 'erf']
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					wlist_ci_nopass = [
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					    'DecodeHelper', 'DecodeHelper.initialize', 'DecodeHelper.sample',
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					    'DecodeHelper.next_inputs', 'TrainingHelper.initialize',
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					    'TrainingHelper.sample', 'TrainingHelper.next_inputs',
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					    'GreedyEmbeddingHelper.initialize', 'GreedyEmbeddingHelper.sample',
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					    'GreedyEmbeddingHelper.next_inputs', 'LayerList.append', 'HDFSClient',
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					    'InitState', 'TracedLayer', 'SampleEmbeddingHelper.sample',
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					    'BasicDecoder.initialize', 'BasicDecoder.step', 'ParameterList.append',
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					    'GreedyEmbeddingHelper', 'SampleEmbeddingHelper', 'BasicDecoder', 'lstm',
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					    'partial_sum'
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					]
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					wlist_nopass = [
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					    'StateCell', 'StateCell.compute_state', 'TrainingDecoder',
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					    'TrainingDecoder.step_input', 'TrainingDecoder.static_input',
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					    'TrainingDecoder.output', 'BeamSearchDecoder', 'GradClipByValue',
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					    'GradClipByNorm', 'Variable.detach', 'Variable.numpy', 'Variable.set_value',
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					    'Variable.gradient', 'BeamSearchDecoder.decode',
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					    'BeamSearchDecoder.read_array', 'CompiledProgram',
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					    'CompiledProgram.with_data_parallel', 'append_backward', 'guard',
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					    'to_variable', 'op_freq_statistic', 'save_dygraph', 'load_dygraph',
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					    'ParallelExecutor', 'ParallelExecutor.run',
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					    'ParallelExecutor.drop_local_exe_scopes', 'GradClipByGlobalNorm',
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					    'extend_with_decoupled_weight_decay', 'switch', 'Normal', 'memory_usage',
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					    'decorate', 'PiecewiseDecay', 'InverseTimeDecay', 'PolynomialDecay',
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					    'NoamDecay', 'start_profiler', 'profiler', 'tree_conv', 'multiclass_nms2',
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					    'DataFeedDesc', 'Conv2D', 'Conv3D', 'Conv3DTranspose', 'Embedding', 'NCE',
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					    'PRelu', 'BilinearTensorProduct', 'GroupNorm', 'SpectralNorm', 'TreeConv',
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					    'prroi_pool'
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					]
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					wlist_temp = [
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					    'ChunkEvaluator',
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					    'EditDistance',
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					    'ErrorClipByValue',
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					    'Program.clone',
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					    'cuda_pinned_places',
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					    'DataFeeder',
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					    'elementwise_floordiv',
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					    'Layer',
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					    'Layer.create_parameter',
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					    'Layer.create_variable',
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					    'Layer.sublayers',
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					    'Layer.add_parameter',
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					    'Layer.add_sublayer',
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					    'Layer.parameters',
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					    'Tracer',
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					    'Layer.full_name',
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					    'InMemoryDataset',
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					    'layer_norm',
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					    'bipartite_match',
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					    'double_buffer',
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					    'cumsum',
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					    'thresholded_relu',
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					    'group_norm',
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					    'random_crop',
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					    'py_func',
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					    'row_conv',
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					    'hard_shrink',
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					    'ssd_loss',
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					    'retinanet_target_assign',
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					    'InMemoryDataset.global_shuffle',
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					    'InMemoryDataset.get_memory_data_size',
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					    'DetectionMAP',
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					    'hash',
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					    'InMemoryDataset.set_queue_num',
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					    'LayerNorm',
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					    'Preprocessor',
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					    'chunk_eval',
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					    'GRUUnit',
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					    'ExponentialMovingAverage',
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					    'QueueDataset.global_shuffle',
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					    'NumpyArrayInitializer',
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					    'create_py_reader_by_data',
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					    'InMemoryDataset.local_shuffle',
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					    'InMemoryDataset.get_shuffle_data_size',
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					    'size',
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					    'edit_distance',
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					    'nce',
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					    'BilinearInitializer',
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					    'NaturalExpDecay',
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					    'noam_decay',
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					    'retinanet_detection_output',
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					    'Pool2D',
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					    'PipelineOptimizer',
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					    'generate_mask_labels',
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					    'isfinite',
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					    'InMemoryDataset.set_fleet_send_batch_size',
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					    'cuda_profiler',
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					    'unfold',
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					    'Executor',
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					    'InMemoryDataset.load_into_memory',
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					    'ExponentialDecay',
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					    'BatchNorm',
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					    'deformable_conv',
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					    'InMemoryDataset.preload_into_memory',
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					    'py_reader',
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					    'linear_lr_warmup',
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					    'InMemoryDataset.wait_preload_done',
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					    'CosineDecay',
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					    'roi_perspective_transform',
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					    'unique',
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					    'ones_like',
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					    'LambOptimizer',
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					    'InMemoryDataset.release_memory',
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				 | 
				
					    'Conv2DTranspose',
 | 
				
			
			
		
	
		
			
				
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					    'QueueDataset.local_shuffle',
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					    # wrong in dygraph/checkpoint.py  ok in io.py [duplicated name]
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					    'save_persistables@dygraph/checkpoint.py',
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					    'load_persistables@dygraph/checkpoint.py'
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				 | 
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					]
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				 | 
				
					'''
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					white list of private API/ redundant API
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					 | 
				
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					'''
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				 | 
				
					wlist_ignore = [
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					    'elementwise_pow', 'WeightedAverage.reset', 'ChunkEvaluator.eval',
 | 
				
			
			
		
	
		
			
				
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				 | 
				
					    'NCE.forward', 'elementwise_div', 'BilinearTensorProduct.forward',
 | 
				
			
			
		
	
		
			
				
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				 | 
				
					    'NoamDecay.step', 'elementwise_min', 'PiecewiseDecay.step',
 | 
				
			
			
		
	
		
			
				
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				 | 
				
					    'Conv3DTranspose.forward', 'elementwise_add', 'IfElse.output',
 | 
				
			
			
		
	
		
			
				
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				 | 
				
					    'IfElse.true_block', 'InverseTimeDecay.step', 'PolynomialDecay.step',
 | 
				
			
			
		
	
		
			
				
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				 | 
				 | 
				
					    'Precision.eval', 'enabled', 'elementwise_max', 'stop_gperf_profiler',
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				 | 
				
					    'IfElse.false_block', 'WeightedAverage.add', 'Auc.trapezoid_area',
 | 
				
			
			
		
	
		
			
				
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				 | 
				
					    'elementwise_mul', 'GroupNorm.forward', 'SpectralNorm.forward',
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
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				 | 
				
					    'elementwise_sub', 'Switch.case', 'IfElse.input', 'prepare_context',
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
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				 | 
				
					    'PRelu.forward', 'Recall.update', 'start_gperf_profiler',
 | 
				
			
			
		
	
		
			
				
					 | 
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				 | 
				 | 
				
					    'TreeConv.forward', 'Conv2D.forward', 'Switch.default', 'elementwise_mod',
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    'Precision.update', 'WeightedAverage.eval', 'Conv3D.forward',
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    'Embedding.forward', 'Recall.eval', 'FC.forward', 'While.block',
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
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				 | 
				
					    'DGCMomentumOptimizer'
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
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					]
 | 
				
			
			
		
	
		
			
				
					 | 
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				 | 
				 | 
				
					# only white on CPU
 | 
				
			
			
		
	
		
			
				
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				 | 
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					gpu_not_white = [
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    "deformable_conv", "cuda_places", "CUDAPinnedPlace", "CUDAPlace",
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    "cuda_profiler", 'DGCMomentumOptimizer'
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					]
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					wlist = wlist_temp + wlist_inneed + wlist_ignore + wlist_nosample + wlist_nopass + wlist_no_op_pass + wlist_ci_nopass
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
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				 | 
				 | 
				
					def get_wlist():
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    '''
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    this function will get the white list of API.
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    Returns:
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					        wlist: a list of API that should not trigger the example check .
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    '''
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    wlist = []
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    with open("wlist.json", 'r') as load_f:
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					        load_dict = json.load(load_f)
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					        for key in load_dict:
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					            wlist = wlist + load_dict[key]
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    return wlist
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					wlist = get_wlist()
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					if len(sys.argv) < 2:
 | 
				
			
			
		
	
		
			
				
					 | 
					 | 
				
				 | 
				 | 
				
					    print("Error: inadequate number of arguments")
 | 
				
			
			
		
	
	
		
			
				
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