TensorFlow

API

 tf.nn / atrous_conv2d_transpose


Performs the average pooling on the input.

Each entry in output is the mean of the corresponding size ksize window in value.

Note internally this op reshapes and uses the underlying 2d operation.

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).

A Tensor of format specified by data_format. The max pooled output tensor.

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