tf.raw_ops.AvgPool | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.AvgPool
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Performs average pooling on the input.
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tf.raw_ops.AvgPool(
value, ksize, strides, padding, data_format='NHWC', name=None
)
Each entry in output is the mean of the corresponding size ksizewindow 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.