Which TensorFlow and CUDA version combinations are compatible?
2018年7月31日 · The section you're referring to just gives me the compatible version for CUDA and cuDNN --ONCE-- I have found out about my desired TensorFlow version. In the common case (for example in .edu lab environments) where CUDA and cuDNN are already installed but TF not, the necessity for an overview becomes apparent.
python - New TensorFlow (Compatible for GPU) Not Detecting …
2024年8月14日 · I guess this note from the TensorFlow documentation sums it up: GPU support on native-Windows is only available for 2.10 or earlier versions. Below it you also find the compatible combinations of Python, TensorFlow, CUDA and cuDNN. In case you absolutely need to use Windows, these are the last supported versions:
How to use tensorflow on spyder? - Stack Overflow
2016年5月5日 · I am a new users for Python and want to use tensorflow. I think I successfully installed tensorflow on my mac OSX via Anaconda. But I still can't figure out how to use tensorflow on Spyder. Could s...
python - How to prevent tensorflow from allocating the totality of …
2015年12月10日 · The problem with TensorFlow is that, by default, it allocates the full amount of available GPU memory when it is launched. Even for a small two-layer neural network, I see that all 12 GB of the GPU memory is used up. Is there a way to make TensorFlow only allocate, say, 4 GB of GPU memory, if one knows that this is enough for a given model?
python 3.11 - Tensorflow support for Python3.11 - Stack Overflow
2022年11月24日 · Just wanted to add that one of the tensorflow dependencies (tensorflow-io-gcs-filesystem) has specified that in its latest version works with Python >=3.11, but <3.12. If you are using poetry for dependency management, ensure that your Python version is limited to the same in order to enable the installation. –
python - How do I use TensorFlow GPU? - Stack Overflow
2018年7月12日 · Strangely, even though the tensorflow website 1 mentions that CUDA 10.1 is compatible with tensorflow-gpu-1.13.1, it doesn't work so far. tensorflow-gpu gets installed properly though but it throws out weird errors when running. So far, the best configuration to run tensorflow with GPU is CUDA 9.0 with tensorflow_gpu-1.12.0 under python3.6.
How to get current available GPUs in tensorflow? - Stack Overflow
2016年7月25日 · I have a plan to use distributed TensorFlow, and I saw TensorFlow can use GPUs for training and testing. In a cluster environment, each machine could have 0 or 1 or more GPUs, and I want to run my TensorFlow graph into GPUs on as many machines as possible.
Running Tensorflow in Jupyter Notebook - Stack Overflow
After installing, open the Anaconda command prompt to install TensorFlow using these steps: Create a conda environment named tensorflow by invoking the following command: conda create -n tensorflow python=3.5 (Use this command even if you are using python 3.6 because TensorFlow will get upgraded in the following steps)
How to downgrade tensorflow, multiple versions possible?
2017年8月18日 · I have tensorflow 1.2.1 installed, and I need to downgrade it to version 1.1 to run a specific tutorial. What is the safe way to do it? I am using windows 10, python 3.5. Tensorflow was installed with pip3, but "pip3 show tensorflow" returns blank. Is it possible to have multiple version of tensorflow on the same OS?
How to set specific gpu in tensorflow? - Stack Overflow
2017年7月8日 · Tensorflow/Keras also allows to specify gpu to be used with session config. I can recommend it only if setting environment variable is not an options (i.e. an MPI run). I can recommend it only if setting environment variable is not an options (i.e. an MPI run).