无法安装低于 2.0 的 Tensorflow

Question

I got this error

AttributeError: module 'TensorFlow' has no attribute 'variable_scope'

when I ran my code and I'm searching in Google for this. They said it required TensorFlow lower than 2.0. Then I started to install it with this code in cmd pip install tensorflow==1.15 then I got another error

ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: 2.5.0rc0, 2.5.0rc1, 2.5.0rc2, 2.5.0rc3, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.7.0rc0, 2.7.0rc1, 2.7.0, 2.7.1, 2.8.0rc0, 2.8.0rc1, 2.8.0) ERROR: No matching distribution found for tensorflow==1.15

I tried a lot of ways on the inte.net to find a way to solve it! My information Tensorflow and computer

Name: tensorflow Version: 2.8.0 Summary: TensorFlow is an open source machine learning framework for everyone. Home-page: https://www.tensorflow.org/ Author: Google Inc. Author-email: packages@tensorflow.org License: Apache 2.0 Location: c:\users\admin\appdata\roaming\python\python39\site-packages Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras, keras-preprocessing, libclang, numpy, opt-einsum, protobuf, setuptools, six, tensorboard, tensorflow-io-gcs-filesystem, termcolor, tf-estimator-nightly, typing-extensions, wrapt

Python 3.9.7

Computer information:

Intel(R) Core(TM) i7-8750H CPU Processor @ 2.20 GHz 2.21 GHz Installed RAM 16.0 GB (15.9 GB usable) Device ID 26A28871-033A-43F4-9933-B82BE00E75C3 Product ID 00330-80000-00000-AA214 System type 64 bit Operating system, processor based on x64 Pen and apps No pen or touchpad for this monitor

Thank you for your help

Answer 1

You probably have CUDA11 install on your system. Tensorflow 1.X can't run on CUDA 11 unless you use Docker and Nvidia Container Toolkit.

I recommend you to use a Docker container provided by Tensorflow with the required version.

tensorflow/tensorflow:1.14.0-gpu-py3

Check this post to view information about Python, CUDA, CudNN and Tensorflow version requirements:

Which TensorFlow and CUDA version combinations are compatible?