tf.nn.max_pool_v2

Performs the max pooling on the input.

tf.nn.max_pool_v2(
    input, ksize, strides, padding, data_format=None, name=None
)
Args
input Tensor of rank N+2, of shape [batch_size] + input_spatial_shape + [num_channels] if data_format does not start with "NC" (default), or [batch_size, num_channels] + input_spatial_shape if data_format starts with "NC". Pooling happens over the spatial dimensions only.
ksize An int or list of ints that has length 1, N or N+2. The size of the window for each dimension of the input tensor.
strides An int or list of ints that has length 1, N or N+2. 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 A string. Specifies the channel dimension. For N=1 it can be either "NWC" (default) or "NCW", for N=2 it can be either "NHWC" (default) or "NCHW" and for N=3 either "NDHWC" (default) or "NCDHW".
name Optional name for the operation.
Returns
A Tensor of format specified by data_format. The max pooled output tensor.

© 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/r1.15/api_docs/python/tf/nn/max_pool_v2