torch.nn.utils.prune.custom_from_mask

torch.nn.utils.prune.custom_from_mask(module, name, mask)

Prune tensor corresponding to parameter called name in module by applying the pre-computed mask in mask.

Modifies module in place (and also return the modified module) by

1. adding a named buffer called name+'_mask' corresponding to the binary mask applied to the parameter name by the pruning method.

2. replacing the parameter name by its pruned version, while the original (unpruned) parameter is stored in a new parameter named name+'_orig'.

参数

• module (nn.Module) – module containing the tensor to prune

• name (str) – parameter name within module on which pruning will act.

• mask (Tensor) – binary mask to be applied to the parameter.

返回

模块的修改（即剪枝）后的版本

返回类型

module (nn.Module)

示例

>>> from torch.nn.utils import prune
>>> m = prune.custom_from_mask(
...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
... )
>>> print(m.bias_mask)
tensor([0., 1., 0.])