f2073333b710a340403843763ba60eb1e6699916,examples/data_process/tutorial_tfrecord2.py,,,#,81

Before Change

    return img, label


img, label = read_and_decode("train.cifar10")

//// Use shuffle_batch or batch
// see https://www.tensorflow.org/versions/master/api_docs/python/io_ops.html//shuffle_batch

After Change

        label_batch = tf.cast(features["label"], tf.int32)
        yield img_batch, label_batch

img_batch, label_batch = next(read_and_decode("train.tfrecords"))
print("img_batch   : %s" % img_batch.shape)
print("label_batch : %s" % label_batch.shape)

i = 0

Instances