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Fix multiple spelling and grammar mistakes (#48592)

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Summary:
I found a number of spelling & grammatical mistakes in the repository. Previously I had these fixes submitted individually, but I saw that a single word change was apparently too small for a PR to be merged. Hopefully this new PR has a sufficient number of changes.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/48592

Reviewed By: ejguan

Differential Revision: D25224216

Pulled By: mrshenli

fbshipit-source-id: 2af3db2aee486563efd0dffc4e8f777306a73e44
This commit is contained in:
ProGamerGov 2020-11-30 15:16:55 -08:00 committed by Facebook GitHub Bot
parent 2200e72293
commit d6ddd78eb0
5 changed files with 11 additions and 11 deletions
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4
README.md
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@ -255,7 +255,7 @@ CUDA, MSVC, and PyTorch versions are interdependent; please install matching ver
| 10.2 | Visual Studio 2019 (16.X) (`_MSC_VER` < 1930) | 1.5.0 ~ 1.7.0 |
| 11.0 | Visual Studio 2019 (16.X) (`_MSC_VER` < 1930) | 1.7.0 |
Note: There's a [compilation issue](https://github.com/oneapi-src/oneDNN/issues/812) in serveral Visual Studio 2019 versions since 16.7.1, so please make sure your Visual Studio 2019 version is not in 16.7.1 ~ 16.7.5
Note: There's a [compilation issue](https://github.com/oneapi-src/oneDNN/issues/812) in several Visual Studio 2019 versions since 16.7.1, so please make sure your Visual Studio 2019 version is not in 16.7.1 ~ 16.7.5
Additional libraries such as
[Magma](https://developer.nvidia.com/magma), [oneDNN, a.k.a MKLDNN or DNNL](https://github.com/oneapi-src/oneDNN), and [Sccache](https://github.com/mozilla/sccache) are often needed. Please refer to the [installation-helper](https://github.com/pytorch/pytorch/tree/master/.jenkins/pytorch/win-test-helpers/installation-helpers) to install them.
@ -403,4 +403,4 @@ Note: This project is unrelated to [hughperkins/pytorch](https://github.com/hugh
## License
PyTorch is a BSD-style licensed, as found in the [LICENSE](LICENSE) file.
PyTorch has a BSD-style license, as found in the [LICENSE](LICENSE) file.

8
aten/src/ATen/native/metal/mpscnn/MPSCNNOps.mm
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@ -356,7 +356,7 @@ Tensor binaryElementwiseKernel(
const Tensor& input1,
const Tensor& input2,
NSString* arrayKernel,
NSString* nonarrayKernal) {
NSString* nonarrayKernel) {
MPSImage* X1 = imageFromTensor(input1);
MPSImage* X2 = imageFromTensor(input2);
std::vector<int64_t> outputSize = input1.sizes().vec();
@ -367,7 +367,7 @@ Tensor binaryElementwiseKernel(
mt.texture()->allocateTemporaryTextureStorage(outputSize, cb1);
MPSImage* Y = imageFromMetalTensor(mt);
id<MTLComputePipelineState> state = [[MPSCNNContext sharedInstance]
pipelineState:kernelFor(X1, arrayKernel, nonarrayKernal)];
pipelineState:kernelFor(X1, arrayKernel, nonarrayKernel)];
id<MTLComputeCommandEncoder> encoder = [cb1.buffer computeCommandEncoder];
[encoder setComputePipelineState:state];
[encoder setTexture:[X1 texture] atIndex:0];
@ -388,7 +388,7 @@ Tensor& binaryElementwiseKernel_(
Tensor& input1,
const Tensor& input2,
NSString* arrayKernel,
NSString* nonarrayKernal) {
NSString* nonarrayKernel) {
MPSImage* X1 = imageFromTensor(input1);
MPSImage* X2 = imageFromTensor(input2);
std::vector<int64_t> outputSize = input1.sizes().vec();
@ -397,7 +397,7 @@ Tensor& binaryElementwiseKernel_(
TORCH_CHECK([cb1 isEqual:cb2], @"inputs have different command buffer");
MPSImage* Y = [MPSImage temporaryImageFromSize:outputSize commandBuffer:cb1];
id<MTLComputePipelineState> state = [[MPSCNNContext sharedInstance]
pipelineState:kernelFor(X1, arrayKernel, nonarrayKernal)];
pipelineState:kernelFor(X1, arrayKernel, nonarrayKernel)];
id<MTLComputeCommandEncoder> encoder = [cb1.buffer computeCommandEncoder];
[encoder setComputePipelineState:state];
[encoder setTexture:[X1 texture] atIndex:0];

4
caffe2/opt/custom/in_batch_broadcast.cc
View file

@ -112,8 +112,8 @@ void inBatchBroadcast(
setShape(blob, new_blob);
const auto rit = reversed.find(blob);
if (rit != reversed.end()) {
const auto& orignal_input = rit->second;
setShape(orignal_input, "");
const auto& original_input = rit->second;
setShape(original_input, "");
}
}

4
test/cpp/tensorexpr/test_cuda.cpp
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@ -1944,8 +1944,8 @@ TEST(Cuda, MaskCompoundInnerLoop_CUDA) {
// Tests the case with two loops fused into a common parent, which is not bound
// to any block or thread dimension - however it's two inner loops are bound to
// the first thread dimenions. This should work just like the MaskThreadDim test
// where the bigger loop is unmasked but the smaller is masked.
// the first thread dimensions. This should work just like the MaskThreadDim
// test where the bigger loop is unmasked but the smaller is masked.
TEST(Cuda, MaskInnerLoopOneBlock_CUDA) {
KernelScope kernel_scope;
int OUTER_SIZE = 10;

2
torch/csrc/distributed/autograd/context/context.h
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@ -147,7 +147,7 @@ using ContextPtr = std::shared_ptr<DistAutogradContext>;
// doesn't know the current context. It's just a util class.
class TORCH_API ThreadLocalDistAutogradContext {
public:
// Store 'new_context' to the thread local varaible maintained by this class.
// Store 'new_context' to the thread local variable maintained by this class.
explicit ThreadLocalDistAutogradContext(ContextPtr&& new_context);
~ThreadLocalDistAutogradContext();