DeepLearningExamples
DeepLearningExamples copied to clipboard
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.
Related to **DLRM/TensorFlow2** **Describe the bug** A minor bug: running the _transcode.py_ as per the README generates a deprecation warning from python. **To Reproduce** root@biber:/home/psharpe/DeepLearningExamples-master/TensorFlow2/Recommendation/DLRM# export DATASET_PARENT_DIRECTORY=`pwd` root@biber:/home/psharpe/DeepLearningExamples-master/TensorFlow2/Recommendation/DLRM# echo $DATASET_PARENT_DIRECTORY...
I tried inferencing on waveglow and it worked fine but on hifigan with the nvidia provided checkpoints it has been throwing the following error Traceback (most recent call last): File...
Related to **Model/Framework(s)** SpeechSynthesis/FastPitch **Describe the bug** [There is a convolutional layer `attn_proj` that is declared, but unused anywhere](https://github.com/NVIDIA/DeepLearningExamples/blob/54e2fb4853ac0c393335f5187bd3b9aff4bbd765/PyTorch/SpeechSynthesis/FastPitch/fastpitch/attention.py#LL93C9-L93C75) which results in unused parameters in the model. I don't see...
Fixed the lowres_axis to get the correct lowest resolution axis in target_spacing. - Larger pixel size means lower details therefore np.argmax will find the correct lowest resolution axis in target_spacing.
Hello, I am currently working on training on ImageNet within the KD framework, using the following "create_dali_pipeline" function. My objective is to extract the augmentation parameters that are applied to...
I was checking out the tacotron2_onnx.py model conversion program and tried running it on my google colab notebook (the one I use for synthesis of my taco2 model) but it...
Related to **NVIDIA Tesla T4 GPU/Tensorflow(s)** **Describe the bug** Tensorflow version warning! ***Github File location [link](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/docs/amp/notebook_v1.14/auto_mixed_precision_demo_cifar10.ipynb) , screen shot below***  **Solution** 1. Update Tensorflow from 1.4 to 2.0 **Required...
Hi, I am using the CUDA to accelerate the YOLO prediction, but somehow it cannot using the cuda as the model device. *Examples:* * *GNMT/PyTorch* * *YOLO* * *VS CODE*...
Providing links for Jupyter and Touchscript for better flow of information.
This bug was probably introduced during refactoring at some point.
