CODEWITHSUNDEEP
pythontensorflowpipanaconda
Steven Wong
Steven Wong

Reputation: 21

Tensorflow path-performance installation

I've noticed that upon running my tensorflow, I have a spike on first few runs on start-up

upon searching on the internet, I came into this blog

the replies and official documents got me even more confusing on which installation is best for performance. Is it

  1. Conda
  2. pip
  3. docker
  4. some others that are not listed?

My current setup is windows 10 laptop with GTX965M, tensorflow installation accordingly to this guide

Another weird thing, my conda installation is only able to install tensorflow 1.8 for some reason. Upon running the code conda update tensorflow, it returns latest version has been installed. But I can install tensorflow 2 by stating conda install tensorflow=2. Is this normal? If not what could be the issue? (I have all the packages updated before 'updating/installing' tensorflow. Doesn't help.)

Upvotes: 1

Views: 62

Answers (1)

user11530462
user11530462

Reputation:

As per my knowledge creating a virtual environment in anaconda and install the Tensorflow in virtual environment has advantages.

Please refer to this SO Answer for the advantages and steps to create virtual environment.

Upon running the code conda update tensorflow, it returns latest version has been installed. But I can install tensorflow 2 by stating conda install tensorflow=2. Is this normal?

Yes, this is a normal behavior.

Google Colab is an easy way to learn and use TensorFlow. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud.

Upvotes: 0

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