tf.nn.max_pool2d
Performs the max pooling on the input.
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. |