tf.nn.max_pool
Performs the max pooling on the input.
tf.nn.max_pool(
input, ksize, strides, padding, data_format=None, name=None
)
| Args |
|---|
input | Tensor of rank N+2, of shape [batch_size] + input_spatial_shape + [num_channels] if data_format does not start with "NC" (default), or [batch_size, num_channels] + input_spatial_shape if data_format starts with "NC". Pooling happens over the spatial dimensions only. |
ksize | An int or list of ints that has length 1, N or N+2. The size of the window for each dimension of the input tensor. |
strides | An int or list of ints that has length 1, N or N+2. 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. Specifies the channel dimension. For N=1 it can be either "NWC" (default) or "NCW", for N=2 it can be either "NHWC" (default) or "NCHW" and for N=3 either "NDHWC" (default) or "NCDHW". |
name | Optional name for the operation. |
| Returns |
|---|
A Tensor of format specified by data_format. The max pooled output tensor. |