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tf.nn.avg_pool2d

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Performs the average pooling on the input.

Aliases:

tf.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.