# tensorflow-build **Repository Path**: code0_FC/tensorflow-build ## Basic Information - **Project Name**: tensorflow-build - **Description**: TensorFlow binaries supporting AVX, FMA, SSE - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-07-14 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README This repository contains custom builds of tensorflow. To install one of these on your system, download the correct file according to your version of python and gcc and run the following command. ``` pip install --ignore-installed --upgrade /path/to/binary.whl --user ``` You can also install directly from github using ``` pip install --ignore-installed --upgrade "Download URL" --user ``` **Latest Builds** | TF | HW | OS | GCC | Python | Supports | | |--------|-----|-------------------|--------------------|----------|-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 2.1.0 | CPU | Ubuntu 16.04 | 5.4.0 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf-2.1.0-py35-ubuntu1604/tensorflow-2.1.0-cp35-cp35m-linux_x86_64.whl) | | 1.14.1 | CPU | macOS Mojave | clang-1001.0.46.4 | 3.7.4 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.14.1-mojave-py3.7/tensorflow-1.14.1-cp37-cp37m-macosx_10_9_x86_64.whl) | --- # Please Read If you find this project useful, please consider donating to the [Rotary Ambala Cancer & General Hospital][2]. It is a donation supported cancer hospital in my mother's hometown and provides extremely affordable services to the local population. The donation process on its page is suboptimal, if you prefer not going through the trouble, consider using the "Sponsor" button at the top and I'll make sure your donations get to the hospital. Thanks! --- **All Builds** | TF | HW | OS | GCC | Python | Supports | | |--------|-----|-------------------|--------------------|----------|-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 1.4.0 | CPU | macOS Sierra | clang-802.0.42 | 3.6.3 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/old-tensorflow-versions/tensorflow-1.4.0-cp36-cp36m-macosx_10_12_x86_64.whl) | | 1.4.1 | CPU | macOS Sierra | clang-900.0.39.2 | 2.7.14 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/old-tensorflow-versions/tensorflow-1.4.1-cp27-cp27m-macosx_10_12_x86_64.whl) | | 1.4.1 | CPU | macOS Sierra | clang-900.0.39.2 | 2.7.13 | AVX, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/v1.4.1-macosx_10_12-py27-py36-avx-sse41-sse42/tensorflow-1.4.1-cp27-cp27m-macosx_10_12_intel.whl) | | 1.4.1 | CPU | macOS Sierra | clang-900.0.39.2 | 3.6.1 | AVX, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/v1.4.1-macosx_10_12-py27-py36-avx-sse41-sse42/tensorflow-1.4.1-cp36-cp36m-macosx_10_12_x86_64.whl) | | 1.5.0 | CPU | macOS High Sierra | clang-900.0.39.2 | 3.6.4 | SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/old-tensorflow-binary/tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl) | | 1.5.0 | CPU | macOS High Sierra | clang-900.0.39.2 | 3.6.4 | AVX, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/old-tensorflow-versions/tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl) | | 1.6.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/v1.6.0-ubuntu_16_04-py27-avx-avx2-fma-sse41-sse42/tensorflow-1.6.0-cp27-cp27mu-linux_x86_64.whl) | | 1.8.0 | CPU | macOS High Sierra | clang-902.0.39.1 | 3.6.5 | SSE4.1, SSE4.2, AVX, AVX2, FMA, SSSE3, POPCNT, CX16 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/old-tensorflow-versions/tensorflow-1.8.0-cp36-cp36m-macosx_10_7_x86_64.whl) | | 1.8.0 | CPU | macOS High Sierra | clang-902.0.39.1 | 3.6.5 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/v1.8.0-macos-py27-py36-avx-avx2-fma-sse41-sse42/tensorflow-1.8.0-cp36-cp36m-macosx_10_13_x86_64.whl) | | 1.8.0 | CPU | macOS High Sierra | clang-902.0.39.1 | 2.7.15 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/v1.8.0-macos-py27-py36-avx-avx2-fma-sse41-sse42/tensorflow-1.8.0-cp27-cp27m-macosx_10_13_x86_64.whl) | | 1.9.0 | CPU | macOS High Sierra | clang-902.0.39.1 | 3.6.5 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.9.0-macos-py27-py36/tensorflow-1.9.0-cp36-cp36m-macosx_10_13_x86_64.whl) | | 1.9.0 | CPU | macOS High Sierra | clang-902.0.39.1 | 2.7.15 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.9.0-macos-py27-py36/tensorflow-1.9.0-cp27-cp27m-macosx_10_13_x86_64.whl) | | 1.9.0 | CPU | Ubuntu 16.04 | 5.4 | 3.6.6 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.9.0-ubuntu16.04-py36/tensorflow-1.9.0-cp36-cp36m-linux_x86_64.whl) | | 1.9.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.9.0-ubuntu16.04-py27-py35/tensorflow-1.9.0-cp35-cp35m-linux_x86_64.whl) | | 1.9.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.9.0-ubuntu16.04-py27-py35/tensorflow-1.9.0-cp27-cp27mu-linux_x86_64.whl) | | 1.9.0 | CPU | Ubuntu 18.04 | 7.3 | 3.6.5 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.9.0-ubuntu18.04-py36/tensorflow-1.9.0-cp36-cp36m-linux_x86_64.whl) | | 1.10.0 | CPU | Ubuntu 18.04 | 7.3 | 3.6.5 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.10.0-ubuntu18.04-py36-py27/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl) | | 1.10.0 | CPU | Ubuntu 18.04 | 7.3 | 2.7.15rc1| FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.10.0-ubuntu18.04-py36-py27/tensorflow-1.10.0-cp27-cp27mu-linux_x86_64.whl) | | 1.10.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.10.0-ubuntu16.04-py35-py27/tensorflow-1.10.0-cp35-cp35m-linux_x86_64.whl) | | 1.10.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.10.0-ubuntu16.04-py35-py27/tensorflow-1.10.0-cp27-cp27mu-linux_x86_64.whl) | | 1.10.0 | CPU | Ubuntu 16.04 | 5.4 | 3.6.6 | FMA, AVX, AVX2, SSE4.1, SSE4.2, AVX512F | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.10.0-ubuntu16.04-py36-avx512f/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl) | | 1.11.0 | CPU | MacOS Mojave | clang-1000.10.44.2 | 2.7.15 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.11.0-macos-mojave-py2.7-py3.7/tensorflow-1.11.0-cp27-cp27m-macosx_10_14_x86_64.whl) | | 1.11.0 | CPU | MacOS Mojave | clang-1000.10.44.2 | 3.7.0 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.11.0-macos-mojave-py2.7-py3.7/tensorflow-1.11.0-cp37-cp37m-macosx_10_13_x86_64.whl) | | 1.11.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.11.0-ubuntu16.04-py2.7-py3.5/tensorflow-1.11.0-cp27-cp27mu-linux_x86_64.whl) | | 1.11.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.11.0-ubuntu16.04-py2.7-py3.5/tensorflow-1.11.0-cp35-cp35m-linux_x86_64.whl) | | 1.12.0 | CPU | MacOS Mojave | clang-1000.10.44.4 | 2.7.15 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-macOS-mojave-ubuntu16.04-py2-py3/tensorflow-1.12.0-cp27-cp27m-macosx_10_14_x86_64.whl) | | 1.12.0 | CPU | MacOS Mojave | clang-1000.10.44.4 | 3.7.0 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-macOS-mojave-ubuntu16.04-py2-py3/tensorflow-1.12.0-cp37-cp37m-macosx_10_13_x86_64.whl) | | 1.12.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-macOS-mojave-ubuntu16.04-py2-py3/tensorflow-1.12.0-cp27-cp27mu-linux_x86_64.whl) | | 1.12.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-macOS-mojave-ubuntu16.04-py2-py3/tensorflow-1.12.0-cp35-cp35m-linux_x86_64.whl) | | 1.12.0 | CPU | Ubuntu 18.04 | 7.3 |2.7.15rc1 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp27-cp27mu-linux_x86_64.whl) | | 1.12.0 | CPU | Ubuntu 18.04 | 7.3 | 3.6.5 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl) | | 1.12.0 | CPU | Ubuntu 18.04 | 7.3 | 3.6.5 | FMA, AVX2, AVX512F | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.12.0-ubuntu18.04-py3-avx512f/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl) | | 1.12.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.4 | FMA, AVX2, AVX512F | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.13.0-ubuntu16.04-py3-avx512f/tensorflow-1.12.0-cp35-cp35m-linux_x86_64.whl) | | 1.13.1 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.13.1-ubuntu16.04-py3/tensorflow-1.13.1-cp35-cp35m-linux_x86_64.whl) | | 1.13.1 | CPU | MacOS Mojave | clang-1001.0.46.4 | 3.7.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.13.1-ubuntu16.04-py3/tensorflow-1.13.1-cp37-cp37m-macosx_10_9_x86_64.whl) | | 1.14.1 | CPU | Ubuntu 18.04 | 7.4 | 3.7.3 | FMA, AVX2, AVX512F | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf-1.14-ubuntu18.04-py3.7/tensorflow-1.14.1-cp37-cp37m-linux_x86_64.whl) | | 1.14.1 | CPU | macOS Mojave | clang-1001.0.46.4 | 3.7.4 | FMA, AVX2, AVX512F | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf-1.14-ubuntu18.04-py3.7/tensorflow-1.14.1-cp37-cp37m-macosx_10_9_x86_64.whl) | | 1.14.1 | CPU | macOS Mojave | clang-1001.0.46.4 | 3.7.4 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf1.14.1-mojave-py3.7/tensorflow-1.14.1-cp37-cp37m-macosx_10_9_x86_64.whl) | | 2.1.0 | CPU | Ubuntu 16.04 | 5.4.0 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build-archived/releases/download/tf-2.1.0-py35-ubuntu1604/tensorflow-2.1.0-cp35-cp35m-linux_x86_64.whl) | **Visit [tensorflow.org][1] for instructions on building tensorflow for your machine.** [1]: https://www.tensorflow.org/install/install_sources [2]: http://www.rotaryhospitalambala.com/about-us/the-hospital