...................................................................... 58 10. Keras ― Model Compilation .............................................................................................. The compilation is the final step in creating a model. Once the compilation is done, we can move on to training phase. Let us learn few concepts required to better understand the compilation process to find error or deviation in the learning process. Keras requires loss function during model compilation process. Keras provides quite a few loss function in the losses module and they are as follows:

model script is available on GitHub and NGC. Known Issues ‣ Certain cuDNN cases that use runtime compilation via NVRTC, particularly on ARM SBSA systems, can fail with CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING vgg_qat.ipynb notebook: ‣ There is a missing field truncate_long_and_double=True in torch_tensorrt compilation of a CIFAR10 based QAT model demonstrated in vgg_qat.ipynb (QAT notebook). Please add it to vgg_qat successfully. Please add truncate_long_and_double=True to the compile spec during torch_tensorrt compilation. Location : /opt/pytorch/torch_tensorrt/ examples/int8/ptq/main.cpp. ‣ ARM ‣ Passing external