[rocm6.4_internal_testing] [ROCm] Improvements for vectorized elementwise kernels (#143269) #1874
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* Make io_size calculation as minimum of size of input and output size, rather than the summation of all sizes * for e.g, for torch.add() on half dtypes (bfloat16/float16), calc_io_size() returns 6 causing elems_per_thread to be 4 * But elems_per_thread = 8 works better on half datypes for AMD gpus * Enable *_load_dwordx4 ISA for 16-bit and 8-bit dtypes on AMD gpus by using vector size of 8 and 16 respectively Co-author: @akadutta Pull Request resolved: pytorch#143269 Approved by: https://github.com/jeffdaily, https://github.com/pruthvistony Co-authored-by: Pruthvi Madugundu <[email protected]>
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… (#1874) * Make io_size calculation as minimum of size of input and output size, rather than the summation of all sizes * for e.g, for torch.add() on half dtypes (bfloat16/float16), calc_io_size() returns 6 causing elems_per_thread to be 4 * But elems_per_thread = 8 works better on half datypes for AMD gpus * Enable *_load_dwordx4 ISA for 16-bit and 8-bit dtypes on AMD gpus by using vector size of 8 and 16 respectively Co-author: @akadutta Pull Request resolved: pytorch#143269 Approved by: https://github.com/jeffdaily, https://github.com/pruthvistony Co-authored-by: Pruthvi Madugundu <[email protected]> (cherry picked from commit 4686828)
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Co-author: @akadutta
Pull Request resolved: pytorch#143269
Approved by: https://github.com/jeffdaily, https://github.com/pruthvistony