Creates a dataset that passes a sliding window over input_dataset
.
tf.raw_ops.ExperimentalSlidingWindowDataset( input_dataset, window_size, window_shift, window_stride, output_types, output_shapes, name=None )
Args | |
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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 | |
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A Tensor of type variant . |
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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/ExperimentalSlidingWindowDataset