tf.nn.avg_pool3d | TensorFlow v2.16.1 (original) (raw)
tf.nn.avg_pool3d
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Performs the average pooling on the input.
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tf.nn.avg_pool3d(
input, ksize, strides, padding, data_format='NDHWC', name=None
)
Each entry in output is the mean of the corresponding size ksizewindow in value.
| Args | |
|---|---|
| input | A 5-D Tensor of shape [batch, depth, height, width, channels]and type float32, float64, qint8, quint8, or qint32. |
| ksize | An int or list of ints that has length 1, 3 or 5. The size of the window for each dimension of the input tensor. |
| strides | An int or list of ints that has length 1, 3 or 5. The stride of the sliding window for each dimension of the input tensor. |
| padding | A string, either 'VALID' or 'SAME'. The padding algorithm. Seeherefor more information. |
| data_format | A string. 'NDHWC' and 'NCDHW' are supported. |
| name | Optional name for the operation. |
| Returns |
|---|
| A Tensor with the same type as value. The average pooled output tensor. |
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Last updated 2024-04-26 UTC.