Tensorflow-bin | Prebuilt binary with Tensorflow Lite

by PINTO0309 Shell Version: v2.10.0 License: Apache-2.0

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Tensorflow-bin has a low active ecosystem.

It has 468 star(s) with 116 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 45 have been closed. On average issues are closed in 50 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Tensorflow-bin is v2.10.0

Quality

Tensorflow-bin has no bugs reported.

Security

Tensorflow-bin has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Tensorflow-bin is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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Tensorflow-bin releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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Community Discussions

Trending Discussions on Tensorflow-bin

TensorFlow.js: How to avoid `Your CPU supports instructions ... AVX AVX2`?

QUESTION

TensorFlow.js: How to avoid `Your CPU supports instructions ... AVX AVX2`?

Asked 2020-Feb-25 at 23:52

Environment:

Windows 10 x64,
Node.js v10,
@tensorflow/tfjs-node v0.1.15

I'm trying to use tensorflow.js on Node.js.

I installed tfjs-node, and it auto-built successfully (node-gyp), but I receive the following error when running:

tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2

The similar question in Python version can be found here:

Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2

Currently, I don't care about performance, so I just want to disables the warning, don't enable AVX/FMA. In JavaScript, what should I do?

...

ANSWER

Answered 2018-Sep-09 at 09:49

Set environment variables before running.

Windows:

$ set TF_CPP_MIN_LOG_LEVEL=2

Linux/MacOS:

$ export TF_CPP_MIN_LOG_LEVEL=2

Source https://stackoverflow.com/questions/52243227

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Tensorflow-bin

Modify the program with reference to the following. <details><summary>tensorflow/contrib/lite/examples/python/label_image.py</summary><div>. Edit tensorflow/tensorflow/contrib/mpi/mpi_rendezvous_mgr.cc Line139 / Line140, Line261. ~https://github.com/tensorflow/tensorflow/issues/22819~ ~https://github.com/tensorflow/tensorflow/commit/d80eb525e94763e09cbb9fa3cbef9a0f64e2cb2a~ ~https://github.com/tensorflow/tensorflow/commit/5847293aeb9ab45a02c4231c40569a15bd4541c6~ https://github.com/tensorflow/tensorflow/issues/23721 https://github.com/tensorflow/tensorflow/pull/25748 https://github.com/tensorflow/tensorflow/issues/25120#issuecomment-464296755 https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/pip_package https://github.com/tensorflow/tensorflow/issues/24372 https://gist.github.com/fyhertz/4cef0b696b37d38964801d3ef21e8ce2. First, prepare an emulation environment for armhf with QEMU 4.0.0. (CPU 4core, RAM 4GB) [How to create a Debian Buster armhf OS image from scratch in hardware emulation mode of QEMU 4.0.0 (Kernel 4.19.0-5-armmp-lpae, for building Tensorflow armhf)](https://qiita.com/PINTO/items/c10283a28d0699f01e01). First, prepare an emulation environment for aarch64 with QEMU 4.0.0. [How to create a Debian Buster aarch64 OS image from scratch in QEMU 4.0.0 hardware emulation mode (Kernel 4.19.0-5-arm64, for Tensorflow aarch64 build)](https://qiita.com/PINTO/items/e117bb0389f2163e2ac8). Next, build Bazel and Tensorflow according to the following procedure in the emulator environment. First, install openjdk-8-jdk according to the procedure of the following URL. [[Stable] Install openjdk-8-jdk safely in Raspbian Buster (Debian 10) environment](https://qiita.com/PINTO/items/612718c0ce4f1def6c6e) Next, follow the steps below to build Tensorflow on RaspberryPi3/4. First, install openjdk-8-jdk according to the procedure of the following URL. [How to install openjdk-8-jdk on Raspbian Buster armhf](https://qiita.com/PINTO/items/a6ae8e04d382493ef369) or [How to install openjdk-8-jdk on Debian Buster (Debian 10) armhf](https://qiita.com/PINTO/items/5445c5e899f68d928f0d) Next, follow the steps below to build Tensorflow on RaspberryPi3. First, install openjdk-8-jdk according to the procedure of the following URL. [How to install openjdk-8-jdk on Raspbian Buster armhf](https://qiita.com/PINTO/items/a6ae8e04d382493ef369) or [How to install openjdk-8-jdk on Debian Buster (Debian 10) armhf](https://qiita.com/PINTO/items/5445c5e899f68d928f0d) Next, follow the steps below to build Tensorflow on RaspberryPi3. First, install openjdk-8-jdk according to the procedure of the following URL. [How to install openjdk-8-jdk on Raspbian Buster armhf](https://qiita.com/PINTO/items/a6ae8e04d382493ef369) or [How to install openjdk-8-jdk on Debian Buster (Debian 10) armhf](https://qiita.com/PINTO/items/5445c5e899f68d928f0d) Next, follow the steps below to build Tensorflow on RaspberryPi3. First, install openjdk-8-jdk according to the procedure of the following URL. [[Stable] Install openjdk-8-jdk safely in Raspbian Buster (Debian 10) environment](https://qiita.com/PINTO/items/612718c0ce4f1def6c6e) Next, follow the steps below to build Tensorflow on RaspberryPi3/4.
tensorflow/BUILD
bazel.rc
configure.py
tensorflow/core/platform/default/build_config.bzl
tensorflow/tools/lib_package/BUILD
tensorflow/tools/pip_package/BUILD
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/lite/tools/make/Makefile
tensorflow/contrib/_\_init\_\_.py
tensorflow/contrib/_\_init\_\_.py
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/lite/tools/make/Makefile
tensorflow/lite/tools/make/targets/aarch64_makefile.inc https://stackoverflow.com/questions/56055359/tensorflow-lite-arm64-error-cannot-convert-const-int8x8-t
tensorflow/lite/build_def.bzl https://github.com/tensorflow/tensorflow/issues/26731 https://github.com/tensorflow/tensorflow/pull/29515/files
tensorflow/contrib/_\_init\_\_.py
tensorflow/contrib/_\_init\_\_.py
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/lite/tools/make/Makefile
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
tensorflow/contrib/_\_init\_\_.py
tensorflow/contrib/_\_init\_\_.py
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
tensorflow/contrib/_\_init\_\_.py
tensorflow/contrib/_\_init\_\_.py
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
tensorflow/contrib/_\_init\_\_.py
tensorflow/contrib/_\_init\_\_.py
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/tensorflow/core/kernels/BUILD
tensorflow/tensorflow/core/kernels/BUILD - Delete the following
tensorflow/lite/tools/make/Makefile
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/lite/tools/make/Makefile
tensorflow/lite/experimental/ruy/pack_arm.cc - Line 1292
configure
build
tensorflow/lite/python/interpreter.py
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.cc
tensorflow/lite/python/interpreter_wrapper/interpreter_wrapper.h
tensorflow/lite/tools/make/Makefile
tensorflow/lite/experimental/ruy/pack_arm.cc - Line 1292
configure
build
tensorflow/tensorflow/lite/kernels/BUILD
Apply customization to add custom operations for MediaPipe. (max_pool_argmax, max_unpooling, transpose_conv_bias)
Apply multi-threading support for XNNPACK.
Apply customization to add custom operations for MediaPipe. (max_pool_argmax, max_unpooling, transpose_conv_bias)

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