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A bunch of typos (#149404)

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Improves readability.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/149404
Approved by: https://github.com/soulitzer
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Dmitry Nikolayev 2025-03-24 16:16:02 +00:00 committed by PyTorch MergeBot
parent ddc0fe903f
commit db92d0f388
1 changed files with 4 additions and 4 deletions
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8
docs/cpp/source/notes/inference_mode.rst
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@ -6,7 +6,7 @@ to be used when you are certain your operations will have no interactions
with autograd (e.g. model training). Compared to ``NoGradMode``, code run
under this mode gets better performance by disabling autograd related work like
view tracking and version counter bumps. However, tensors created inside
``c10::InferenceMode`` has more limitation when interacting with autograd system as well.
``c10::InferenceMode`` have more limitations when interacting with autograd system as well.
``InferenceMode`` can be enabled for a given block of code. Inside ``InferenceMode``
all newly allocated (non-view) tensors are marked as inference tensors. Inference tensors:
@ -19,7 +19,7 @@ all newly allocated (non-view) tensors are marked as inference tensors. Inferenc
To work around you can make a clone outside ``InferenceMode`` to get a normal tensor before mutating.
A non-view tensor is an inference tensor if and only if it was allocated inside ``InferenceMode``.
A view tensor is an inference tensor if and only if the tensor it is a view of is an inference tensor.
A view tensor is an inference tensor if and only if it is a view of an inference tensor.
Inside an ``InferenceMode`` block, we make the following performance guarantees:
@ -66,7 +66,7 @@ users should pay additional attention to:
also affects tensor creation while ``AutoNonVariableTypeMode`` doesn't. In other words, tensors created
inside ``InferenceMode`` are marked as inference tensors so that certain limitation can be applied after
exiting ``InferenceMode``.
- Enabled/disabled ``InferenceMode`` states can be nested while ``AutoNonVariableTypeMode`` only allows enabled state..
- Enabled/disabled ``InferenceMode`` states can be nested while ``AutoNonVariableTypeMode`` only allows enabled state.
.. code-block:: cpp
@ -82,7 +82,7 @@ users should pay additional attention to:
// InferenceMode is off
2. Users trying to implement a customized kernel who wants to redispatch under ``Autograd`` dispatch
2. Users trying to implement a customized kernel who want to redispatch under ``Autograd`` dispatch
keys should use ``AutoDispatchBelowADInplaceOrView`` instead. Note ``AutoDispatchBelowADInplaceOrView`` is just a new name
of ``AutoNonVariableTypeMode`` since it explains the guard's functionality better. We're deprecating
``AutoNonVariableTypeMode`` and it'll be removed in 1.10 release. See customized kernel