Reapply Autoquant (#82) #109
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Summary: Adding autoquantization functionality, using hte do_quant api we can test kernel speeds and pick the best quantization type (or no quantization) for each layer. Test Plan: python test/test.py -k "autoquant" also tested on SAM and SDXL pytorch-labs/segment-anything-fast#114 HDCharles/sdxl-fast@8d9942a Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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Apr 2, 2024
README.md
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| torch._inductor.config.force_fuse_int_mm_with_mul = True | ||
| # inductor settings which improve torch.compile performance for quantized modules | ||
| torch._inductor.config.force_fuse_int_mm_with_mul | ||
| torch._inductor.config.use_mixed_mm |
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This needs =True or perhaps with config etc.
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