tf.compat.v2.nn.avg_pool2d

Performs the average pooling on the input.

tf.compat.v2.nn.avg_pool2d(
    input, ksize, strides, padding, data_format='NHWC', name=None
)

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

Args
input	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.

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