DeepLearningExamples
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NVIDIA
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
when i tryed deplay the bert on triton inference server Step by step deployment [process,](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/LanguageModeling/BERT/triton/large/README.md#convert-model),I got the following error: `2023-04-16 14:50:49 - DEBUG - model_navigator.log: initialized logger verbose=True 2023-04-16 14:50:49...
pip install git+https://github.com/NVIDIA/DeepLearningExamples.git#subdirectory=Tools/lddl Looking in indexes: https://mirrors.aliyun.com/pypi/simple Collecting git+https://github.com/NVIDIA/DeepLearningExamples.git#subdirectory=Tools/lddl Cloning https://github.com/NVIDIA/DeepLearningExamples.git to /tmp/pip-req-build-2mpwixi6 Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA/DeepLearningExamples.git /tmp/pip-req-build-2mpwixi6 Resolved https://github.com/NVIDIA/DeepLearningExamples.git to commit a6c678ef0323cdaae053e9eed34dce94488ad313 Running command git submodule...
Hi team, I am trying to upgrade PyTorch to 2.0.0+cu118 to support Hopper and come across the following error: ``` RuntimeError: stft requires the return_complex parameter be given for real...
I encountered this error while trying to run main.py file. how can i install apex module properly
Assigned permissions 775 to ensure broad executability
Updated the README files for MxNet and TensorFlow for Image Classification. The Quick Start guides were missing a line crucial to data preperation: wget -qO- https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh | bash This line...
Related to **Model/Framework(s)** Triton **Describe the bug** A clear and concise description of what the bug is. when i run the scipt: python3 triton/run_inference_on_triton.py \ --server-url localhost:8001 \ --model-name ${MODEL_NAME}...
Related to **TFT/PyTorch** **Question** I want to know if running the TFT implementation on Kubeflow is possible and what changes I need to perform to run it in the Kubeflow...
Related to DeepLearningExamples/PyTorch/Forecasting/TFT/ (e.g. GNMT/PyTorch or FasterTransformer/All) Describe the bug When I run the "inference.py" the error happen because "unscaled_predictions" was numpy.ndarray. Therefore, we need to add the code to...
