Using tensorflow 2.9, python 3.7. My goal is to feed tf.data.dataset into tensorflow model while reducing memory consumption. In S3 there are parquet files that I want to use and create tf.data.Dataset for training deep learning model on keras. First…
When defining a new Keras model and integrating it with WandB (Weights and Biases), I encountered an error related to a specific layer. The error message I received is as follows: File "/miniconda3/envs/tf/lib/python3.9/site-packages/wandb/data_types.py", line 1504, in from_keras node = Node.from_keras(layers[i])…
I realize that this might be a simple question, but I have been searching for a straightforward answer and cannot find it, neither in the documentation or on forums. The threads I have found were about very specific questions like…
I am sure the solution is out there somewhere, but I have been unable to find it. I originally trained the model in normal tensorflow, but it is being used in tensorflowjs after being converted. My current error is Uncaught…
When I try to install @tensorflow/tfjs-gpu in node.js, I get this error: PS C:Userstobia2d-classification> npm i @tensorflow/tfjs-node-gpu --force npm WARN using --force Recommended protections disabled. npm ERR! code 1 npm ERR! path C:Userstobia2d-classificationnode_modules@tensorflowtfjs-node-gpu npm ERR! command failed npm ERR! command…
I work under Ubuntu 22.04 installed on a Virtual Machine. Recently, I used pip3 install tensorflow to install TensorFlow. I got the following error: $ python3 Python 3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:06:00) [GCC 11.4.0]…
I'm using a cluster to train my Machine Learning Model (TensorFlow) in Jupyter Notebook. The cluster already has JupyterHub (Python 3.7.5), CUDA, and cuDNN installed before I started using it. The cluster is running on Ubuntu 18.04 with GCC Version…
The tensorflow versions that I can still recreate this behavior are: 2.7.0, 2.7.3, 2.8.0, 2.9.0. Actually, these are all the versions I've tried; I wasn't able to resolve the issue in any version. OS: Ubuntu 20 GPU: RTX 2060 RAM:…
I want to train rasa/LaBSE from the LanguageModelFeaturizer. I have followed the steps in the docs and did not change the default training data. My config file looks like: # The config recipe. # https://rasa.com/docs/rasa/model-configuration/ recipe: default.v1 # Configuration for…
I was training models last night on my Ubuntu workstation, and then woke up this morning and saw this message: Failed to initialize NVML: Driver/library version mismatch Apparently the NVIDIA system driver automatically updated itself, and now I need to…