Created
December 17, 2020 12:58
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Tensorflow Input data pipeline for optimal performance
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| # Training dataset | |
| train_dataset = tf.data.Dataset.from_tensor_slices((train_images, train_masks)) | |
| train_dataset = train_dataset.map(load_image_train) | |
| train_dataset = train_dataset.cache() | |
| train_dataset = train_dataset.shuffle(BUFFER_SIZE) | |
| train_dataset = train_dataset.batch(BATCH_SIZE) | |
| train_dataset = train_dataset.repeat() | |
| train_dataset = train_dataset.prefetch(buffer_size=tf.data.experimental.AUTOTUNE) |
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