[Pallas] Introduce GMM(torch.autograd.Function)#7152
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alanwaketan merged 3 commits intomasterfrom May 30, 2024
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JackCaoG
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May 30, 2024
| # Make sure gmm doesn't fallback. | ||
| self.assertNotIn("aten::", met.short_metrics_report()) | ||
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| @unittest.skipIf(xr.device_type() != 'TPU', "This test only works on TPU.") |
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do you need TPU version check here?
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lol, good question.
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v2 is pretty happy on the tree.
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interesting.. I thought pallas is not supported on v2.
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gmm is just mm... The kernel is simple... Other fuses softmax, etc...
JackCaoG
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May 30, 2024
JackCaoG
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May 30, 2024
JackCaoG
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May 30, 2024
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Thanks Jack for approving. |
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Skip GPU tests to move fast. |
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Summary:
This pull request make GMM as a torch.autograd.Function such that we can use torch.autograd.backward instead of manual backpropagation.
Test Plan:
python test/test_gmm.py