What does 'Off' mean in the output of nvidia-smi?
I run a tensorflow code in the GPU. The image bellow shows the nvidia-smi info::
I want ask what does 'Off' mean in the output of nvidia-smi? Also what does the ""C"" type means here??
My code run in the GPU or CPU in this situation????
Solution
"C" stands for compute. "G" stands for graphics. Both run on the graphics card. "Off" is in reference to "Persistence-M", which stands for Persistence Mode which keeps the driver always loaded.
- Should the data in batch be balanced?
- How to solve : UnknownError: Graph execution error:
- Human segmentation fails with Pytorch, not with Tensorflow Keras
- Keras multioutput custom loss with intermediate layers output
- How to access the weights of a layer in pretrained efficientnet-b3 in torch?
- How Keras can calculate the number of parameters at early stage when there are still None dimensions?
- LSTM having a systematic offset between predictions and ground truth
- HuggingFace | ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet con
- Cannot iterate over reverb replay buffer due to dimensionality issue
- I need to write complex-value neural network in tensorflow but I get an error
- Tensorflow 2.17 - Saving custom model does not work for me
- This model has not yet been built error on model.summary()
- How to use TensorBoard in a Docker container (on Windows)
- TensorFlow libdevice not found. Why is it not found in the searched path?
- Not able to load a Vision Transformer model post training
- How to concatenate a tensor to a keras layer along batch (without specifying batch size)?
- How do I import KerasRegressor in Google Colab?
- Test step of VAE returns only 0s
- Dynamic number of stacked LSTM in custom Tensorflow model
- Saving model hyperparameters as dictionary: json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
- ImportError: cannot import name 'BatchNormalization' from 'keras.layers.normalization'
- Upsampling with pooling indices keras (unpooling)
- In Tensorflow Classification, how are the labels ordered when using "predict"?
- Tensorflow slice issue with unknown batch size
- What are all the formats to save machine learning model in scikit-learn, keras, tensorflow and mxnet?
- How can I download charts as SVG from TensorBoard?
- Does tf.math.reduce_max allows gradient flow like torch.max?
- Having trouble when initializing Input layer with constant value
- Convolutional neural network, how the second conv layer works on the first pooling layer
- In Keras, how can I save and load a neural network model that includes a custom loss function?