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lakshayglakshayg
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add tf 1.9.0 for ubuntu and remove old versions
Former-commit-id: 331ffd4bc6da88b07944d6927aad7899761fd1de
1 parent 5026776 commit f8670fd

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‎README.md‎

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@@ -9,24 +9,23 @@ You can also install directly from github using
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pip install --ignore-installed --upgrade "Download URL"
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```
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| TF | HW | OS | GCC | Python | Supports | |
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|----------|-----|--------------|------------------|-------------|-------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|
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| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.0-cp35-cp35m-linux_x86_64.whl) |
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| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 3.6.3 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/sigilioso/tensorflow-build/raw/master/tensorflow-1.4.0-cp36-cp36m-linux_x86_64.whl) |
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| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.0-cp27-cp27mu-linux_x86_64.whl) |
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| 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/raw/master/tensorflow-1.4.0-cp36-cp36m-macosx_10_12_x86_64.whl) |
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| 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/raw/master/tensorflow-1.4.1-cp27-cp27m-macosx_10_12_x86_64.whl) |
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| 1.4.1 | CPU | macOS High Sierra | clang-900.0.38 | 3.6.2 | SSE4.1, SSE4.2, AVX, AVX2, FMA | [Download](https://github.com/lakshayg/tensorflow-build/raw/master/tensorflow-1.4.1-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/releases/download/v1.4.1-macosx_10_12-py27-py36-avx-sse41-sse42/tensorflow-1.4.1-cp27-cp27m-macosx_10_12_intel.whl) |
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| 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/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) |
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| 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/raw/53f39575cdd0912e561a67f0afe844ff4b8ef655/tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/raw/master/tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/releases/download/v1.6.0-ubuntu_16_04-py27-avx-avx2-fma-sse41-sse42/tensorflow-1.6.0-cp27-cp27mu-linux_x86_64.whl) |
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| 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/raw/master/tensorflow-1.8.0-cp36-cp36m-macosx_10_7_x86_64.whl) |
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| 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/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) |
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| 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/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) |
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| 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/releases/download/tf1.9.0-macos-py27-py36/tensorflow-1.9.0-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/releases/download/tf1.9.0-macos-py27-py36/tensorflow-1.9.0-cp27-cp27m-macosx_10_13_x86_64.whl) |
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| TF | HW | OS | GCC | Python | Supports | |
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|-------|-----|-------------------|------------------|--------|-----------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 3.6.3 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | [Download](https://github.com/sigilioso/tensorflow-build/raw/master/tensorflow-1.4.0-cp36-cp36m-linux_x86_64.whl) |
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| 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/raw/master/tensorflow-1.4.0-cp36-cp36m-macosx_10_12_x86_64.whl) |
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| 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/raw/master/tensorflow-1.4.1-cp27-cp27m-macosx_10_12_x86_64.whl) |
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| 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/releases/download/v1.4.1-macosx_10_12-py27-py36-avx-sse41-sse42/tensorflow-1.4.1-cp27-cp27m-macosx_10_12_intel.whl) |
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| 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/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) |
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| 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/raw/53f39575cdd0912e561a67f0afe844ff4b8ef655/tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/raw/master/tensorflow-1.5.0-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/releases/download/v1.6.0-ubuntu_16_04-py27-avx-avx2-fma-sse41-sse42/tensorflow-1.6.0-cp27-cp27mu-linux_x86_64.whl) |
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| 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/raw/master/tensorflow-1.8.0-cp36-cp36m-macosx_10_7_x86_64.whl) |
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| 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/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) |
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| 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/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) |
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| 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/releases/download/tf1.9.0-macos-py27-py36/tensorflow-1.9.0-cp36-cp36m-macosx_10_13_x86_64.whl) |
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| 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/releases/download/tf1.9.0-macos-py27-py36/tensorflow-1.9.0-cp27-cp27m-macosx_10_13_x86_64.whl) |
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| 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/releases/download/tf1.9.0-ubuntu16.04-py27-py35/tensorflow-1.9.0-cp35-cp35m-linux_x86_64.whl) |
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| 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/releases/download/tf1.9.0-ubuntu16.04-py27-py35/tensorflow-1.9.0-cp27-cp27mu-linux_x86_64.whl) |
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