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

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

See the guide: Neural Network > Pooling

Performs the average pooling on the input.

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

Args:

  • value: A 4-D Tensor of shape [batch, height, width, channels] and type float32, float64, qint8, quint8, or qint32.
  • ksize: A list of ints that has length >= 4. The size of the window for each dimension of the input tensor.
  • strides: A list of ints that has length >= 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 comment here
  • 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.

Defined in tensorflow/python/ops/nn_ops.py.