tf.raw_ops.AvgPool

Performs average pooling on the input.

Compat aliases for migration

tf.compat.v1.raw_ops.AvgPool

tf.raw_ops.AvgPool(
    value, ksize, strides, padding, data_format='NHWC', name=None
)

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

Args
`value`	A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`, `float64`. 4-D with shape `[batch, height, width, channels]`.
`ksize`	A list of `ints` that has length `>= 4`. The size of the sliding window for each dimension of `value`.
`strides`	A list of `ints` that has length `>= 4`. The stride of the sliding window for each dimension of `value`.
`padding`	A `string` from: `"SAME", "VALID"`. The type of padding algorithm to use.
`data_format`	An optional `string` from: `"NHWC", "NCHW"`. Defaults to `"NHWC"`. Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `value`.

Args