Torch-based GEMM with fake dequantization for mxfp6 e2m3#762
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nirmie wants to merge 2 commits intoiree-org:mainfrom
Open
Torch-based GEMM with fake dequantization for mxfp6 e2m3#762nirmie wants to merge 2 commits intoiree-org:mainfrom
nirmie wants to merge 2 commits intoiree-org:mainfrom
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- Packs f32 into fp6 and unpacks back to f32 for matmul - Pytests for quantization error, matmul error, and LUT rounding - Does not use CDNA4 FP6, only fake dequantization Signed-off-by: Nirmal Senthilkumar <nirmalsent@gmail.com>
Giuseppe5
reviewed
Jan 27, 2026
| # Calculate block-wise scales (Microscaling) | ||
| x_reshaped = x.view(-1, block_size) | ||
| amax = x_reshaped.abs().max(dim=1, keepdim=True).values | ||
| scales = amax / MAX_E2M3 |
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This is supposed to be a power-of-two value
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Will soon work on adding CDNA4 native mxfp6 operations