Performs the max pooling on the input.
tf.nn.max_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Note internally this op reshapes and uses the underlying 2d operation.
Args |
input
|
A 3-D Tensor of the format specified by data_format .
|
ksize
|
An int or list of ints that has length 1 or 3 . The size of the
window for each dimension of the input tensor.
|
strides
|
An int or list of ints that has length 1 or 3 . 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
|
An optional string from: "NWC", "NCW". Defaults to "NWC".
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of format specified by data_format .
The max pooled output tensor.
|