Test #577
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Summary: Making sure we have the macOS build too. To find the hash, see https://hud.pytorch.org/hud/pytorch/pytorch/nightly for the target date. To test, check if the file like `torch-2.2.0.dev20231005-cp311-none-macosx_11_0_arm64.whl` exists at https://download.pytorch.org/whl/nightly/torch/ and run `./install_requirements.sh` on a Mac to see all the dependencies are successfully installed. Pull Request resolved: pytorch/executorch#644 Reviewed By: angelayi Differential Revision: D49973900 Pulled By: shoumikhin fbshipit-source-id: 110c3f0030015f0c9c5d5d5888e9b92d35fd1ff5
Differential Revision: D49850149 fbshipit-source-id: 9665b2fa1b3443c3182192af1ceda0ac47a3d44a
Summary: Pull Request resolved: pytorch/executorch#576 We are adding the pass to convert scalars to attrs into our quantize testing stage. This allows us to test end to end flow of models with quantized scalars Reviewed By: digantdesai, jerryzh168 Differential Revision: D49850601 fbshipit-source-id: 682cd876e66fa03cda2c17b7bb2396a047dcea01
Summary: Pull Request resolved: pytorch/executorch#577 Test for inception v3 model both fp32 and quantized Currently we don't have a node visitor for avg_pool2d, so we omitt it. This shouldn't be hard to add, but seems like just a node name that we are missing. We can add this after mvp Reviewed By: digantdesai Differential Revision: D49850153 fbshipit-source-id: 360f8bd8a4a71767e6ca8984fae92a2b935e041e
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Summary:
Test for inception v3 model both fp32 and quantized
Currently we don't have a node visitor for avg_pool2d, so we omitt it. This shouldn't be hard to add, but seems like just a node name that we are missing. We can add this after mvp
Differential Revision: D49850153