[pytorch][quantization] adding jit state for QuantizedLeakyReLU #47660
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This pull request was exported from Phabricator. Differential Revision: D24757522 |
💊 CI failures summary and remediationsAs of commit 6ac4d3d (more details on the Dr. CI page): ✅ None of the CI failures appear to be your fault 💚
❄️ 1 failure tentatively classified as flakybut reruns have not yet been triggered to confirm:
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This pull request was exported from Phabricator. Differential Revision: D24757522 |
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Codecov Report
@@ Coverage Diff @@
## master #47660 +/- ##
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- Coverage 81.26% 81.25% -0.01%
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Files 1838 1838
Lines 198237 198237
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- Hits 161090 161087 -3
- Misses 37147 37150 +3 |
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…rch#47660) Summary: Pull Request resolved: pytorch#47660 Currently, `QuantizedLeakyReLU` doesn't have any items in the `state_dict`. However, this operator needs to store the `scale` and `zero_point` in its state dictionary or the loading state dict for a quantized model with LeakyReLUs that have non-default quantization params would break. Test Plan: Originally the issue was found here: https://www.internalfb.com/intern/anp/view/?id=390362&revision_id=2510709822565735 In the latest version, I fixed this issue: https://www.internalfb.com/intern/anp/view/?id=390362 Reviewed By: jerryzh168 Differential Revision: D24757522 fbshipit-source-id: ba26c03307cf542bfbd490e44609762514e8c437
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This pull request has been merged in f86ec08. |
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Summary: Currently,
QuantizedLeakyReLUdoesn't have any items in thestate_dict. However, this operator needs to store thescaleandzero_pointin its state dictionary or the loading state dict for a quantized model with LeakyReLUs that have non-default quantization params would break.Differential Revision: D24757522