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Updated Home (markdown)
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Home.md
22
Home.md
@@ -238,4 +238,24 @@ Most notably, this enables PGO (profile guided optimization). While your mileage
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env PYTHON_CONFIGURE_OPTS='--enable-optimizations --with-lto' PYTHON_CFLAGS='-march=native -mtune=native' pyenv install 3.6.0
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env PYTHON_CONFIGURE_OPTS='--enable-optimizations --with-lto' PYTHON_CFLAGS='-march=native -mtune=native' pyenv install 3.6.0
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```
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```
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You can also customize the task used for profile guided optimization by setting the `PROFILE_TASK` environment variable, for instance, `PROFILE_TASK='-m test.regrtest --pgo -j0'` will run much faster than the default task.
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You can also customize the task used for profile guided optimization by setting the `PROFILE_TASK` environment variable, for instance, `PROFILE_TASK='-m test.regrtest --pgo -j0'` will run much faster than the default task.
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### Get QPM and AISW
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This is needed to run qnn-onnx-converter, qnn-pytorch-converter.
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- On local macbook, download QPM [here](https://qpm.qualcomm.com/#/main/tools/details/QPM3). Log in with Qualpass username and password -> select "Linux" -> search QPM.
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- `scp` the file to dev machine. For example, `scp QualcommPackageManager.2.0.39.2.Linux-x86.deb weidai@$DEV:/local/mnt/workspace/downloads`
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- On Dev Desktop or DevCompute, `sudo dpkg -i <QualcommPackageManager>.deb`
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- Install via QPM
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```
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# log in with Qualpass
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qpm-cli --login
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qpm-cli --license-activate qualcomm_ai_engine_direct
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# This downloads the package
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qpm-cli --extract qualcomm_ai_engine_direct
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```
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