tf.nn.max_pool2d

TensorFlow 2 version View source on GitHub

Performs the max pooling on the input.

Aliases:

tf.nn.max_pool2d(
    input,
    ksize,
    strides,
    padding,
    data_format='NHWC',
    name=None
)

Args:

  • input: A 4-D Tensor of the format specified by data_format.
  • ksize: An int or list of ints that has length 1, 2 or 4. The size of the window for each dimension of the input tensor.
  • strides: An int or list of ints that has length 1, 2 or 4. 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.