tf.nn.avg_pool3d

Performs the average pooling on the input.

tf.nn.avg_pool3d(
    input, ksize, strides, padding, data_format='NDHWC', name=None
)

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

input A 5-D Tensor of shape [batch, height, width, channels] and type float32, float64, qint8, quint8, or qint32.
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 the "returns" section of tf.nn.convolution for details.
data_format A string. 'NDHWC' and 'NCDHW' are supported.
name Optional name for the operation.

A Tensor with the same type as value. The average pooled output tensor.