tf.nn.avg_pool | TensorFlow v2.16.1 (original) (raw)
tf.nn.avg_pool
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Performs the avg pooling on the input.
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Compat aliases for migration
SeeMigration guide for more details.
tf.nn.avg_pool(
input, ksize, strides, padding, data_format=None, name=None
)
Used in the notebooks
| Used in the tutorials |
|---|
| Fast Style Transfer for Arbitrary Styles |
Each entry in output is the mean of the corresponding size ksizewindow in value.
| Args | |
|---|---|
| input | Tensor of rank N+2, of shape [batch_size] + input_spatial_shape + [num_channels] if data_format does not start with "NC" (default), or[batch_size, num_channels] + input_spatial_shape if data_format starts with "NC". Pooling happens over the spatial dimensions only. |
| ksize | An int or list of ints that has length 1, N or N+2. The size of the window for each dimension of the input tensor. |
| strides | An int or list of ints that has length 1, N or N+2. 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. Specifies the channel dimension. For N=1 it can be either "NWC" (default) or "NCW", for N=2 it can be either "NHWC" (default) or "NCHW" and for N=3 either "NDHWC" (default) or "NCDHW". |
| name | Optional name for the operation. |
| Returns |
|---|
| A Tensor of format specified by data_format. The average pooled output tensor. |
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Last updated 2024-04-26 UTC.