tf.nn.avg

Performs the average pooling on the input.

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.

TensorFlow

tf.nn / avg_pool

Args

Returns

TensorFlow

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tf.nn / avg_pool

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