tf.compat.v1.nn.avg_pool

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Performs the average pooling on the input.

Used in the notebooks

Used in the tutorials

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.