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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SlidingWindowDataset