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

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

See the guide: Neural Network > Pooling

Performs the max pooling on the input.

Args:

• value: A 4-D Tensor with shape [batch, height, width, channels] and type tf.float32.
• ksize: A list of ints that has length >= 4. The size of the window for each dimension of the input tensor.
• strides: A list of ints that has length >= 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 comment here
• data_format: A string. 'NHWC' and 'NCHW' are supported.
• name: Optional name for the operation.

Returns:

A Tensor with type tf.float32. The max pooled output tensor.

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