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Copy file name to clipboardExpand all lines: README.md
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@@ -39,14 +39,14 @@ You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to
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<!-- tocstop -->
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| System | 3.6 | 3.7 | 3.8 |
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| :---: | :---: | :---: | :--: |
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| Linux CPU |[](https://ci.pytorch.org/jenkins/job/pytorch-master/)|[](https://ci.pytorch.org/jenkins/job/pytorch-master/)|<center>—</center> |
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| Linux GPU |[](https://ci.pytorch.org/jenkins/job/pytorch-master/)|[](https://ci.pytorch.org/jenkins/job/pytorch-master/)|<center>—</center> |
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| Windows CPU / GPU |<center>—</center> |[](https://ci.pytorch.org/jenkins/job/pytorch-builds/job/pytorch-win-ws2016-cuda9-cudnn7-py3-trigger/)| <center>—</center> |
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| Linux (ppc64le) CPU |<center>—</center> |[](https://powerci.osuosl.org/job/pytorch-master-nightly-py3-linux-ppc64le/)| <center>—</center> |
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| Linux (ppc64le) GPU |<center>—</center> |[](https://powerci.osuosl.org/job/pytorch-master-nightly-py3-linux-ppc64le-gpu/)| <center>—</center> |
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| Linux (aarch64) CPU |[](https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py36)|[](https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py37)|[](https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py38)|
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| System | 3.7 | 3.8 |
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| :---: | :---: | :--: |
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| Linux CPU |[](https://ci.pytorch.org/jenkins/job/pytorch-master/)| <center>—</center> |
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| Linux GPU |[](https://ci.pytorch.org/jenkins/job/pytorch-master/)| <center>—</center> |
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| Windows CPU / GPU |[](https://ci.pytorch.org/jenkins/job/pytorch-builds/job/pytorch-win-ws2016-cuda9-cudnn7-py3-trigger/)| <center>—</center> |
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| Linux (ppc64le) CPU |[](https://powerci.osuosl.org/job/pytorch-master-nightly-py3-linux-ppc64le/)| <center>—</center> |
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| Linux (ppc64le) GPU |[](https://powerci.osuosl.org/job/pytorch-master-nightly-py3-linux-ppc64le-gpu/)| <center>—</center> |
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| Linux (aarch64) CPU |[](https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py37)|[](https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py38)|
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See also the [CI HUD at hud.pytorch.org](https://hud.pytorch.org/ci/pytorch/pytorch/master).
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### From Source
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If you are installing from source, you will need Python 3.6.2 or later and a C++14 compiler. Also, we highly recommend installing an [Anaconda](https://www.anaconda.com/distribution/#download-section) environment.
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If you are installing from source, you will need Python 3.7 or later and a C++14 compiler. Also, we highly recommend installing an [Anaconda](https://www.anaconda.com/distribution/#download-section) environment.
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You will get a high-quality BLAS library (MKL) and you get controlled dependency versions regardless of your Linux distro.
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Once you have [Anaconda](https://www.anaconda.com/distribution/#download-section) installed, here are the instructions.
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