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Fix typos in docs (#80602)

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I hope it helps.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/80602
Approved by: https://github.com/kit1980
This commit is contained in:
apeltop 2022-08-29 23:32:44 +00:00 committed by PyTorch MergeBot
parent 372a19d2c6
commit e7635c06ce
3 changed files with 5 additions and 5 deletions
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4
docs/cpp/source/notes/tensor_cuda_stream.rst
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@ -92,7 +92,7 @@ CUDA Stream Usage Examples
// get the default CUDA stream on device 0
at::cuda::CUDAStream defaultStream = at::cuda::getDefaultCUDAStream();
// set current CUDA stream back to default CUDA stream on devide 0
// set current CUDA stream back to default CUDA stream on device 0
at::cuda::setCurrentCUDAStream(defaultStream);
// sum() on tensor0 uses `defaultStream` as current CUDA stream
tensor0.sum();
@ -120,7 +120,7 @@ CUDA Stream Usage Examples
.. attention::
Above code is running on the same CUDA device. `setCurrentCUDAStream` will always set current CUDA stream on current device,
but note that `setCurrentCUDASteram` actually set current stream on the device of passed in CUDA stream.
but note that `setCurrentCUDAStream` actually set current stream on the device of passed in CUDA stream.
2. Acquiring and setting CUDA streams on multiple devices.

4
docs/source/jit_language_reference_v2.rst
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@ -906,7 +906,7 @@ Atoms are the most basic elements of expressions.
Identifiers
"""""""""""
The rules that dictate what is a legal identifer in TorchScript are the same as
The rules that dictate what is a legal identifier in TorchScript are the same as
their `Python counterparts <https://docs.python.org/3/reference/lexical_analysis.html#identifiers>`_.
Literals
@ -1830,7 +1830,7 @@ Specifically, following APIs are fully supported:
- ``torch.distributed.rpc.rpc_async()``
- ``rpc_async()`` makes a non-blocking RPC call to run a function on a remote worker. RPC messages are sent and received in parallel to execution of Python code.
- More deatils about its usage and examples can be found in :meth:`~torch.distributed.rpc.rpc_async`.
- More details about its usage and examples can be found in :meth:`~torch.distributed.rpc.rpc_async`.
- ``torch.distributed.rpc.remote()``
- ``remote.()`` executes a remote call on a worker and gets a Remote Reference ``RRef`` as the return value.
- More details about its usage and examples can be found in :meth:`~torch.distributed.rpc.remote`.

2
docs/source/storage.rst
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@ -15,7 +15,7 @@ same class methods that :class:`torch.TypedStorage` has.
A :class:`torch.TypedStorage` is a contiguous, one-dimensional array of
elements of a particular :class:`torch.dtype`. It can be given any
:class:`torch.dtype`, and the internal data will be interpretted appropriately.
:class:`torch.dtype`, and the internal data will be interpreted appropriately.
:class:`torch.TypedStorage` contains a :class:`torch.UntypedStorage` which
holds the data as an untyped array of bytes.