Eliminate unnecessary copy in CUDA addmm with sparse compressed block operand #114484
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/114484
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 5cb2195 with merge base 56a95af ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
pearu
added
module: performance
pearu
changed the title
…essed block operand" As in the title. As a result, `nn.linear(<strided tensor>, <BSR tensor>, bias=<strided tensor>)` performance increases as follows (`float16`, `NVIDIA A100-SXM4-80GB`): - 256x256 weights, speed up is 14..27 % - 512x512 weights, speed up is 9..25 % - 1024x1024 weights, speed up is 5..20 % - 2048x2048 weights, speed up is 3..16 % - 4092x4092 weights, speed up is 2..9 % [ghstack-poisoned]
…essed block operand" As in the title. As a result, `nn.linear(<strided tensor>, <BSR tensor>, bias=<strided tensor>)` performance increases as follows (`float16`, `NVIDIA A100-SXM4-80GB`): - 256x256 weights, speed up is 14..27 % - 512x512 weights, speed up is 9..25 % - 1024x1024 weights, speed up is 5..20 % - 2048x2048 weights, speed up is 3..16 % - 4092x4092 weights, speed up is 2..9 % [ghstack-poisoned]
cpuhrsch
approved these changes
Nov 27, 2023
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As in the title.
As a result,
nn.linear(<strided tensor>, <BSR tensor>, bias=<strided tensor>)performance increases as follows (float16,NVIDIA A100-SXM4-80GB):Stack from ghstack (oldest at bottom):