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A batching and padding transformation that omits the final small batch. (deprecated)
tf.contrib.data.padded_batch_and_drop_remainder(
batch_size, padded_shapes, padding_values=None
)
Like tf.data.Dataset.padded_batch, this transformation combines
consecutive elements of this dataset into batches. However, if the batch
size does not evenly divide the input dataset size, this transformation will
drop the final smaller element.
See tf.contrib.data.batch_and_drop_remainder for more details.
Args | |
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batch_size
|
A tf.int64 scalar tf.Tensor, representing the number of
consecutive elements of this dataset to combine in a single batch.
|
padded_shapes
|
A nested structure of tf.TensorShape or tf.int64 vector
tensor-like objects. See tf.data.Dataset.padded_batch for details.
|
padding_values
|
(Optional.) A nested structure of scalar-shaped tf.Tensor.
See tf.data.Dataset.padded_batch for details.
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Returns | |
|---|---|
A Dataset transformation function, which can be passed to
tf.data.Dataset.apply
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