Hook up bf16_gemv_trans to x86 bf16 GEMM #139220
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This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/139220
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This was referenced Oct 29, 2024
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This pull request was exported from Phabricator. Differential Revision: D65170967 |
This was referenced Oct 29, 2024
swolchok
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Oct 29, 2024
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) ghstack-source-id: 250775158 Pull Request resolved: #139220
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D65170967 |
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D65170967 |
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D65170967 |
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
swolchok
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Nov 3, 2024
Pull Request resolved: #139220 This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . ghstack-source-id: 251589338 Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. @exported-using-ghexport Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/)
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This pull request was exported from Phabricator. Differential Revision: D65170967 |
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D65170967 |
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D65170967 |
swolchok
added a commit
that referenced
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Nov 4, 2024
Pull Request resolved: #139220 This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . ghstack-source-id: 251716245 Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. @exported-using-ghexport Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/)
malfet
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Nov 8, 2024
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
zero000064
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Nov 14, 2024
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) Pull Request resolved: pytorch#139220 Approved by: https://github.com/malfet ghstack dependencies: pytorch#139084, pytorch#139090, pytorch#139558, pytorch#139081, pytorch#139208
Ryo-not-rio
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Dec 2, 2024
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) Pull Request resolved: pytorch#139220 Approved by: https://github.com/malfet ghstack dependencies: pytorch#139084, pytorch#139090, pytorch#139558, pytorch#139081, pytorch#139208
pobin6
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Dec 5, 2024
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) Pull Request resolved: pytorch#139220 Approved by: https://github.com/malfet ghstack dependencies: pytorch#139084, pytorch#139090, pytorch#139558, pytorch#139081, pytorch#139208
fmo-mt
pushed a commit
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Dec 11, 2024
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 . Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2. Differential Revision: [D65170967](https://our.internmc.facebook.com/intern/diff/D65170967/) Pull Request resolved: pytorch#139220 Approved by: https://github.com/malfet ghstack dependencies: pytorch#139084, pytorch#139090, pytorch#139558, pytorch#139081, pytorch#139208
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Stack from ghstack (oldest at bottom):
This is the big milestone for bf16 and should enable us to close pytorch/torchchat#1253 .
Testing: ran python torchchat.py generate llama3.2-1b --dtype bf16 --device cpu on x86 machine with AVX512-bf16. observed similar tokens/sec with and without MKL path hand-disabled. Also observed speedup from ~2.1 tok/sec to 7.4 tok/sec on x86 machine with only AVX2.
Differential Revision: D65170967