tf.nn.max_pool

tf.nn.max_pool(
    value,
    ksize,
    strides,
    padding,
    data_format='NHWC',
    name=None
)

Defined in tensorflow/python/ops/nn_ops.py.

See the guide: Neural Network > Pooling

Performs the max pooling on the input.

Args:

  • value: A 4-D Tensor of the format specified by data_format.
  • ksize: A list or tuple of 4 ints. The size of the window for each dimension of the input tensor.
  • strides: A list or tuple of 4 ints. 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. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported.
  • name: Optional name for the operation.

Returns:

A Tensor of format specified by data_format. The max pooled output tensor.