Monkey patched classes

See also: k1lib.patch()

class torch.nn.modules.Module

Module.importParams(params: List[torch.nn.parameter.Parameter])

Given a list of torch.nn.parameter.Parameter/torch.Tensor, update the current torch.nn.Module’s parameters with it’

Module.exportParams() → List[torch.Tensor]

Gets the list of torch.nn.parameter.Parameter data

Module.paramsContext() → AbstractContextManager

A nice context manager for importParams() and exportParams().

Module.getParamsVector() → List[torch.Tensor]

For each parameter, returns a normal distributed random tensor with the same standard deviation as the original parameter

Module.preserveDevice() → AbstractContextManager

Preserves the device of whatever operation is inside this. Example:

import torch.nn as nn
m = nn.Linear(3, 4)
with m.preserveDevice():
    m.cuda() # moves whole model to cuda
# automatically moves model to cpu

This will work even if the model has many tensors that live on 10 different devices.