tf.raw_ops.AvgPool
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Performs average pooling on the input.
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. |
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Last updated 2024-04-26 UTC.
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