tf.raw_ops.SlidingWindowDataset

Creates a dataset that passes a sliding window over input_dataset.

tf.raw_ops.SlidingWindowDataset(
    input_dataset, window_size, window_shift, window_stride, output_types,
    output_shapes, 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.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.