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Performs the max pooling on the input.
tf.nn.max_pool1d( input, ksize, strides, padding, data_format='NWC', name=None )
Note internally this op reshapes and uses the underlying 2d operation.
Args | |
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input | A 3-D Tensor of the format specified by data_format . |
ksize | An int or list of ints that has length 1 or 3 . The size of the window for each dimension of the input tensor. |
strides | An int or list of ints that has length 1 or 3 . The stride of the sliding window for each dimension of the input tensor. |
padding | A string, either 'VALID' or 'SAME' . The padding algorithm. See the "returns" section of tf.nn.convolution for details. |
data_format | An optional string from: "NWC", "NCW". Defaults to "NWC". |
name | A name for the operation (optional). |
Returns | |
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A Tensor of format specified by data_format . The max pooled output tensor. |
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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/nn/max_pool1d