!10220 net: modify num_parallel_worker config in map function to improve performance
From: @ms_yan Reviewed-by: @heleiwang,@liucunwei Signed-off-by: @liucunwei
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@ -115,8 +115,8 @@ def create_dataset_imagenet(dataset_path, repeat_num=1, training=True,
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transform_label = [C.TypeCast(mstype.int32)]
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data_set = data_set.map(input_columns="image", num_parallel_workers=8, operations=transform_img)
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data_set = data_set.map(input_columns="label", num_parallel_workers=8, operations=transform_label)
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data_set = data_set.map(input_columns="image", num_parallel_workers=12, operations=transform_img)
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data_set = data_set.map(input_columns="label", num_parallel_workers=4, operations=transform_label)
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# apply batch operations
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data_set = data_set.batch(imagenet_cfg.batch_size, drop_remainder=True)
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