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MX: hook up mxfp8 and mxfp4 CUTLASS kernels to MXLinear #1713
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1713
Note: Links to docs will display an error until the docs builds have been completed. This comment was automatically generated by Dr. CI and updates every 15 minutes. |
vkuzo
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Summary: 1. add a kernel choice setting to `MXLinearConfig` to choose between emulated gemm and CUTLASS gemm 2. respect the setting in the torch.mm op override 3. numerical tests to match emulated vs real e2e activations/weights/grads Test Plan: ``` pytest test/prototype/mx_formats/ -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 1d12e235c90ad3f46335654d62d3376efc035d84 ghstack-comment-id: 2657958104 Pull Request resolved: #1713
vkuzo
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Summary: 1. add a kernel choice setting to `MXLinearConfig` to choose between emulated gemm and CUTLASS gemm 2. respect the setting in the torch.mm op override 3. numerical tests to match emulated vs real e2e activations/weights/grads Test Plan: ``` pytest test/prototype/mx_formats/ -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 1d12e235c90ad3f46335654d62d3376efc035d84 ghstack-comment-id: 2657958104 Pull Request resolved: #1713
vkuzo
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Summary: 1. add a kernel choice setting to `MXLinearConfig` to choose between emulated gemm and CUTLASS gemm 2. respect the setting in the torch.mm op override 3. numerical tests to match emulated vs real e2e activations/weights/grads Test Plan: ``` pytest test/prototype/mx_formats/ -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 9234dba200094da88c2d13bc20e198aa7ffb5af6 ghstack-comment-id: 2657958104 Pull Request resolved: #1713
drisspg
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vkuzo
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Summary: 1. add a kernel choice setting to `MXLinearConfig` to choose between emulated gemm and CUTLASS gemm 2. respect the setting in the torch.mm op override 3. numerical tests to match emulated vs real e2e activations/weights/grads Test Plan: ``` pytest test/prototype/mx_formats/ -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 55f72a0e0d18898c2f02fb2d88c537b382ed5a67 ghstack-comment-id: 2657958104 Pull Request resolved: #1713
vkuzo
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Feb 14, 2025
Summary: 1. add a kernel choice setting to `MXLinearConfig` to choose between emulated gemm and CUTLASS gemm 2. respect the setting in the torch.mm op override 3. numerical tests to match emulated vs real e2e activations/weights/grads Test Plan: ``` pytest test/prototype/mx_formats/ -s -x ``` Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 55f72a0e0d18898c2f02fb2d88c537b382ed5a67 ghstack-comment-id: 2657958104 Pull Request resolved: #1713
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Summary:
MXLinearConfig
to choose betweenemulated gemm and CUTLASS gemm
activations/weights/grads
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags: