Performs the max pooling on the input.
tf.nn.max_pool3d(
input, ksize, strides, padding, data_format='NDHWC', name=None
)
Args |
|---|
input
|
A 5-D Tensor of the format specified by data_format.
|
ksize
|
An int or list of ints that has length 1, 3 or 5. The size of
the window for each dimension of the input tensor.
|
strides
|
An int or list of ints that has length 1, 3 or 5. The
stride of the sliding window for each dimension of the input tensor.
|
padding
|
A string, either 'VALID' or 'SAME'. The padding algorithm. See
here
for more information.
|
data_format
|
An optional string from: "NDHWC", "NCDHW". Defaults to "NDHWC".
The data format of the input and output data. With the default format
"NDHWC", the data is stored in the order of: [batch, in_depth, in_height,
in_width, in_channels]. Alternatively, the format could be "NCDHW", the
data storage order is: [batch, in_channels, in_depth, in_height,
in_width].
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of format specified by data_format.
The max pooled output tensor.
|
View source on GitHub