tf.compat.v1.nn.avg_pool

Performs the average pooling on the input.

tf.compat.v1.nn.avg_pool(
    value,
    ksize,
    strides,
    padding,
    data_format='NHWC',
    name=None,
    input=None
)

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

value A 4-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, 2 or 4. The size of the window for each dimension of the input tensor.
strides An int or list of ints that has length 1, 2 or 4. 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. 'NHWC' and 'NCHW' are supported.
name Optional name for the operation.
input Alias for value.

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