I got a CondaVerificationError when installing Tensorflow on my 64-bit Win10.
CondaVerificationError: The package for tensorflow-estimator located at C:\Users\viviennejia.zhong\AppData\Local\Continuum\anaconda3\pkgs\tensorflow-estimator-1.13.0-py37h39e3cac_0 appears to be corrupted. The path 'Lib/site-packages/tensorflow_estimator/python/estimator/canned/linear_optimizer/python/utils/__pycache__/sharded_mutable_dense_hashtable.cpython-37.pyc' specified in the package manifest cannot be found. ClobberError: This transaction has incompatible packages due to a shared path. packages: conda-forge::tensorboard-1.13.1-py37_0, conda-forge::tensorflow-base-1.13.1-py37_7 path: 'scripts/tensorboard-script.py' ClobberError: This transaction has incompatible packages due to a shared path. packages: conda-forge::tensorboard-1.13.1-py37_0, conda-forge::tensorflow-base-1.13.1-py37_7 path: 'scripts/tensorboard.exe'
In some posts I saw
conda clean --all could help. Runing this, I got
FileNotFoundError: [WinError 3] 'C:\\Users\\xxxx\\AppData\\Local\\Continuum\\anaconda3\\pkgs\\tensorflow-base-2.0.0-mkl_py37hd1d5974_0\\Lib\\site-packages\\tensorflow-2.0.0.data\\purelib\\tensorflow_core\\include\\tensorflow_core\\core\\common_runtime\\isolate_placer_inspection_required_ops_pass.h'
I am new to conda and appreciate very much your help to solve this issue.
Providing the solution here (Answer Section), even though it is present in the Comment Section, for the benefit of the community.
Installation of Tensorflow through pip has resolved issue
pip install tensorflow (install latest version)
pip install tensorflow==2.0 (for older version)
In addition to above method, there is a recommended way is to create a
Virtual Environment in
Anaconda and install the
Tensorflow in that
Virtual Environment, which works in most of the cases.
Using Virtual Environments has advantages like<ul><li>We can maintain multiple versions of
Virtual Environmentswith each
Virtual Environmentcomprising each
1.14, 1.15, 2.0, 2.1, 2.2,etc..</li> <li>We can use different
2.x, 3.6, 3.7) in each
Virtual Environment</li> <li>If we want to modify the
source codeof any of the Tensorflow API, we can do it within our Virtual Environment, without impacting its functionality in other
Virtual Environments.</li> </ul>
Steps for Creating a New Virtual Environment and installing
Anaconda, for different Operating Systems, is shown below:
# Create a New Virtual Environment conda create --name TF_2_VE # When conda asks you to proceed, type y: proceed ([y]/n)? # Activate the Virtual Environment. Conda Version > 4.6 conda activate TF_2_VE # Activating Virtual Environment, Conda Version < 4.6 and Windows OS activate TF_2_VE # Activating Virtual Environment, Conda Version < 4.6 and Linux and Mac OS source activate TF_2_VE # Install the TF Version you need conda install tensorflow
The above command will install the
Latest Version of
2.2 as of now). If you want an older version like
2.0, you can replace the last step of the above set of commands with
conda install tensorflow==2.0.