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Table of Contents

[ 1.6.0 ▼ ](http://pytorch.org/docs/versions.html)

Notes

  * [ Automatic Mixed Precision examples ](notes/amp_examples.html)
  * [ Autograd mechanics ](notes/autograd.html)
  * [ Broadcasting semantics ](notes/broadcasting.html)
  * [ CPU threading and TorchScript inference ](notes/cpu_threading_torchscript_inference.html)
  * [ CUDA semantics ](notes/cuda.html)
  * [ Distributed Data Parallel ](notes/ddp.html)
  * [ Extending PyTorch ](notes/extending.html)
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  * [ Features for large-scale deployments ](notes/large_scale_deployments.html)
  * [ Multiprocessing best practices ](notes/multiprocessing.html)
  * [ Reproducibility ](notes/randomness.html)
  * [ Serialization semantics ](notes/serialization.html)
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Language Bindings

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Python API

  * [ torch ](torch.html)
  * [ torch.nn ](nn.html)
  * [ torch.nn.functional ](nn.functional.html)
  * [ torch.Tensor ](tensors.html)
  * [ Tensor Attributes ](tensor_attributes.html)
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  * [ torch.distributed ](distributed.html)
  * [ torch.distributions ](distributions.html)
  * [ torch.futures ](futures.html)
  * [ torch.hub ](hub.html)
  * [ torch.jit ](jit.html)
  * [ torch.nn.init ](nn.init.html)
  * [ torch.onnx ](onnx.html)
  * [ torch.optim ](optim.html)
  * [ Complex Numbers ](complex_numbers.html)
  * [ Quantization ](quantization.html)
  * [ Distributed RPC Framework ](rpc.html)
  * torch.random 
  * [ torch.sparse ](sparse.html)
  * [ torch.Storage ](storage.html)
  * [ torch.utils.bottleneck ](bottleneck.html)
  * [ torch.utils.checkpoint ](checkpoint.html)
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  * [ Type Info ](type_info.html)
  * [ Named Tensors ](named_tensor.html)
  * [ Named Tensors operator coverage ](name_inference.html)
  * [ torch.__config__ ](__config__.html)

Libraries

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Community

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  * [ Docs ](index.html) >
  * torch.random 
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Shortcuts

#  torch.random  ¶

` torch.random. ` ` fork_rng ` (  _devices=None_ , _enabled=True_ ,
__caller='fork_rng'_ , __devices_kw='devices'_ )  [ [source]
](_modules/torch/random.html#fork_rng) ¶

    

Forks the RNG, so that when you return, the RNG is reset to the state that it
was previousl