GEMV benchmark using fp32 #17
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cmagina
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Aug 4, 2025
| ) | ||
| ) | ||
| def benchmark_gemv(M, K, provider): | ||
| A = torch.randn((M, K), device=DEVICE, dtype=torch.float16) |
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Its probably worth keeping the float16 tests as well. Instead of overwriting the test, clone it and have a benchmark for fp16 and fp32.
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Mainly updated autotuner configs.
New performance on fp32 benchmark
Old performance on fp32 benchmark
