| # Copyright 2019 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ============================================================================ |
| |
| # A list of assignees |
| assignees: |
| - synandi |
| - SuryanarayanaY |
| - tilakrayal |
| # A list of assignees for compiler folder |
| compiler_assignees: |
| - joker-eph |
| - sanjoy |
| # filesystem path |
| filesystem_path: |
| - tensorflow/c/experimental/filesystem |
| # security path |
| security_path: |
| - tensorflow/security |
| # words checklist |
| segfault_memory: |
| - segfault |
| - memory leaks |
| # assignees |
| filesystem_security_assignee: |
| - mihaimaruseac |
| |
| # Cuda Comment |
| cuda_comment: > |
| From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries: |
| * For TF-GPU - See point 1 |
| * For TF-CPU - See point 2 |
| ----------------------------------------------------------------------------------------------- |
| |
| **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** |
| |
| |
| Make sure you are using compatible TF and CUDA versions. |
| Please refer following TF version and CUDA version compatibility table. |
| |
| | TF | CUDA | |
| |
| | :-------------: | :-------------: | |
| |
| | 2.5.0 | 11.2 | |
| |
| | 2.4.0 | 11.0 | |
| |
| | 2.1.0 - 2.3.0 | 10.1 | |
| |
| | 1.13.1 - 2.0 | 10.0 | |
| |
| | 1.5.0 - 1.12.0 | 9.0 | |
| |
| * If you have above configuration and using _**Windows**_ platform - |
| * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable. |
| * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup). |
| * If you have above configuration and using _**Ubuntu/Linux**_ platform - |
| * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable. |
| * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup). |
| * If error still persists then, apparently your CPU model does not support AVX instruction sets. |
| * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements). |
| |
| ----------------------------------------------------------------------------------------------- |
| |
| **2. Installing **TensorFlow** (TF) CPU prebuilt binaries** |
| |
| |
| *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.* |
| |
| |
| Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load. |
| |
| Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below: |
| |
| * Try Google Colab to use TensorFlow. |
| * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install``` to install any other preferred TF version. |
| * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task. |
| * All you need is a good internet connection and you are all set. |
| * Try to build TF from sources by changing CPU optimization flags. |
| |
| *Please let us know if this helps.* |
| |
| windows_comment: > |
| From the stack trace it looks like you are hitting windows path length limit. |
| * Try to disable path length limit on Windows 10. |
| * Refer [disable path length limit instructions guide.](https://mspoweruser.com/ntfs-260-character-windows-10/) |
| |
| Please let us know if this helps. |