tf.nn.avg_pool3d

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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.

Args:

• 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.

Returns:

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