tf.raw_ops.SlidingWindowDataset

Creates a dataset that passes a sliding window over input_dataset.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SlidingWindowDataset

tf.raw_ops.SlidingWindowDataset(
    input_dataset,
    window_size,
    window_shift,
    window_stride,
    output_types,
    output_shapes,
    drop_remainder=True,
    name=None
)

Args
input_dataset	A Tensor of type variant.
window_size	A Tensor of type int64. A scalar representing the number of elements in the sliding window.
window_shift	A Tensor of type int64. A scalar representing the steps moving the sliding window forward in one iteration. It must be positive.
window_stride	A Tensor of type int64. A scalar representing the stride of the input elements of the sliding window. It must be positive.
output_types	A list of tf.DTypes that has length >= 1.
output_shapes	A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
drop_remainder	An optional bool. Defaults to True.
name	A name for the operation (optional).

Returns
A Tensor of type variant.