[Performance] Fused blockwise quant RMS norm #27883
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Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
…or int8 Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
ElizaWszola
changed the title
Signed-off-by: yewentao256 <[email protected]>
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The optimization of this commit is beneficial: [-------------------------------------------- rms-norm-dynamic-per-token-quant --------------------------------------------]
| unfused_groupwise_fp8_impl | fused_groupwise_fp8_impl
1 threads: -----------------------------------------------------------------------------------------------------------------
N 1 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 31.4 | 29.4
N 1 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 34.0 | 30.4
N 1 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 31.3 | 29.6
N 1 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 34.0 | 29.5
N 4 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 30.1 | 29.5
N 4 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 35.1 | 31.2
N 4 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 32.4 | 32.5
N 4 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 36.1 | 30.7
N 16 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 31.6 | 31.4
N 16 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 35.2 | 32.3
N 16 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 32.8 | 32.2
N 16 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 35.1 | 31.6
N 64 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 31.8 | 31.5
N 64 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 35.2 | 32.7
N 64 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 31.8 | 31.6
N 64 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 36.1 | 32.1
N 256 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 32.8 | 32.3
N 256 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 36.1 | 32.0
N 256 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 32.6 | 32.3
N 256 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 35.2 | 31.5
N 1024 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 31.4 | 39.0
N 1024 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 35.1 | 36.9
N 1024 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 31.8 | 53.3
N 1024 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 35.5 | 49.3 now [-------------------------------------------- rms-norm-dynamic-per-token-quant --------------------------------------------]
| unfused_groupwise_fp8_impl | fused_groupwise_fp8_impl
1 threads: -----------------------------------------------------------------------------------------------------------------
N 1 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 30.9 | 19.6
N 1 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 36.5 | 19.4
N 1 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 30.5 | 19.6
N 1 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 36.5 | 19.6
N 4 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 30.4 | 19.5
N 4 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 34.2 | 19.3
N 4 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 30.5 | 19.6
N 4 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 34.2 | 19.4
N 16 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 31.8 | 19.6
N 16 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 36.4 | 19.5
N 16 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 30.7 | 19.7
N 16 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 36.5 | 19.7
N 64 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 31.8 | 19.7
N 64 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 36.5 | 19.6
N 64 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 30.4 | 19.6
N 64 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 34.3 | 19.5
N 256 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 30.1 | 19.4
N 256 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 34.4 | 19.8
N 256 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 30.7 | 19.6
N 256 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 34.2 | 19.5
N 1024 x D 1024 x R True x DT torch.bfloat16x GS [1, 128] | 30.7 | 19.4
N 1024 x D 1024 x R False x DT torch.bfloat16x GS [1, 128] | 34.4 | 19.4
N 1024 x D 5120 x R True x DT torch.bfloat16x GS [1, 128] | 30.7 | 28.7
N 1024 x D 5120 x R False x DT torch.bfloat16x GS [1, 128] | 34.5 | 28.7 |
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CUDA kernel for fused blockwise quant rms norm
Testing:
pytest tests/kernels/core/test_fused_quant_layernorm.pyTODO: E2E Tests, cleanup