Make TensorCoreTiledLayout import more robust #1912
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/1912
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9984016 with merge base d3039da ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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@joecummings @ebsmothers @jainapurva Can you please take a look? |
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torchtune/utils/_import_guard.py
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| and torch.cuda.get_device_capability() >= (7, 5) | ||
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| torchao_version = torchao.__version__ |
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nit: can remove this too
ebsmothers
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Oct 28, 2024
Summary: Fixes meta-pytorch#1908. Previous attempts (meta-pytorch#1886) to fix this issue still break in local settings, so it's more robust and simpler to just try catch the import error. Test Plan: ``` from torchtune.training.quantization import * ```
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Summary: Fixes #1908. Previous attempts (#1886) to fix this issue still break in local settings, so it's more robust and simpler to just try catch the import error.
Test Plan: