Test #578
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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: 01feb173e087bdde8131139869ca59e220dfb059
Differential Revision: D49850149 fbshipit-source-id: 3ed68ba7992fa0ad14cf74c48312fce378290337
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: 9342f28b4b5362c2f4bc6976c6055eb935b34c4a
Summary: Pull Request resolved: pytorch/executorch#578 Adding an End to End test for inception v4 for both fp32 and quantized models. As with inception v3, we currently don't have avg_pool2d because of a missing op name. (We do support mean.dim(-1, -2) which is the same). this is somethign we can add after mvp Reviewed By: digantdesai Differential Revision: D49850148 fbshipit-source-id: 6e6a3793d5fc7d85105a49f9b10523d58e2fe83f
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Summary:
Adding an End to End test for inception v4 for both fp32 and quantized models.
As with inception v3, we currently don't have avg_pool2d because of a missing op name. (We do support mean.dim(-1, -2) which is the same). this is somethign we can add after mvp
Differential Revision: D49850148