tf.nn.max_pool2d

Performs the max pooling on the input.

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

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 Either the string"SAME"or"VALID"indicating the type of padding algorithm to use, or a list indicating the explicit paddings at the start and end of each dimension. When explicit padding is used and data_format is"NHWC", this should be in the form[[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]]. When explicit padding used and data_format is"NCHW", this should be in the form[[0, 0], [0, 0], [pad_top, pad_bottom], [pad_left, pad_right]]. When using explicit padding, the size of the paddings cannot be greater than the sliding window size. </td> </tr><tr> <td>data_format</td> <td> A string. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported. </td> </tr><tr> <td>name` Optional name for the operation.

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