assign The following actions use a deprecated Node.js version and will be forced to run on node20: actions/github-script@v6. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/ Show more ...
I have access to a sapphire rapids machine and I want to multiply two bfloat16 matrices A and B and compute C = A*B by exploiting AMX_BF16 extensons. I am happy with C being stored in single precision. What is the recommended way of doing this with current Intel ...
This small PR substitutes bfloat16 for float16 when half-precision is requested on a cuda system. Unfortunately I don't see any change in speed in my benchmarking. The article says that the speedup is GPU dependent, so perhaps others will have more luck (I'm using an RTX 4070). ...
I have access to a sapphire rapids machine and I want to multiply two bfloat16 matrices A and B and compute C = A*B by exploiting AMX_BF16 extensons. I am happy with C being stored in single precision. What is the recommended way of doing this with cu...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Use brgemm with pack for Half/BFloat16 flash attention forward kernel · pytorch/pytorch@45e134b
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [PyTorch] Use Half, not float16_t, in fp16 gemv fast path signatures · pytorch/pytorch@97a3b11
I have access to a sapphire rapids machine and I want to multiply two bfloat16 matrices A and B and compute C = A*B by exploiting AMX_BF16 extensons. I am happy with C being stored in single precision. What is the recommended way of doing this with current...
I have access to a sapphire rapids machine and I want to multiply two bfloat16 matrices A and B and compute C = A*B by exploiting AMX_BF16 extensons. I am happy with C being stored in single precision. What is the recommended way of doing this with current...
I have access to a sapphire rapids machine and I want to multiply two bfloat16 matrices A and B and compute C = A*B by exploiting AMX_BF16 extensons. I am happy with C being stored in single precision. What is the recommended way of doing this with current...
I have access to a sapphire rapids machine and I want to multiply two bfloat16 matrices A and B and compute C = A*B by exploiting AMX_BF16 extensons. I am happy with C being stored in single precision. What is the recommended way of doing this with current...