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Fix typo(s) and CUDA extensions URLs #33

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Fix typo(s) and CUDA extensions URLs #33

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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -2,7 +2,7 @@

[OCP MX Formats Specification](https://www.opencompute.org/documents/ocp-microscaling-formats-mx-v1-0-spec-final-pdf)

This library provides the capability to emulate MX-compatble formats
This library provides the capability to emulate MX-compatible formats
and bfloat quantization in pytorch, enabling data science exploration
for DNNs with different MX formats.
The underlying computations are done in float32/bfloat16/fp16 but with values restricted to
Expand Down Expand Up @@ -272,9 +272,9 @@ MX library functions. These are automatically JIT-compiled via
custom\_extensions.py

The following are some references for creating custom extensions for PyTorch:
* Custom C++ and CUDA Extension: https://pytorch.org/tutorials/advanced/cpp\_extension.html
* Tensor class: https://pytorch.org/cppdocs/api/classat\_1\_1\_tensor.html
* Tensor creation API: https://pytorch.org/cppdocs/notes/tensor\_creation.html
* Custom C++ and CUDA Extension: https://pytorch.org/tutorials/advanced/cpp_extension.html
* Tensor class: https://pytorch.org/cppdocs/api/classat_1_1_tensor.html
* Tensor creation API: https://pytorch.org/cppdocs/notes/tensor_creation.html

In the CUDA files, we subsitute the following MX terminology
as "block_size" already has a different meaning in CUDA:
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