Resource
NVIDIA Deep Learning Examples
Wide & Deep for TensorFlow2Wide & Deep Recommender model.
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Changelog
February 2021 Initial release
Known issues
- In this model the TF32 precision can in some cases be as fast as the FP16 precision on Ampere GPUs. This is because TF32 also uses Tensor Cores and doesn't need any additional logic such as maintaining FP32 master weights and casts. However, please note that W&D is, by modern recommender standards, a very small model. Larger models should still see significant benefits of using FP16 math.