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.
|