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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 process the unscaled_predictions to tensor To Reproduce Steps to reproduce the behavior: python inference.py \ --checkpoint /results/TFT_electricity_bs8x1024_lr1e-3/seed_1/checkpoint.pt \ --data /data/processed/electricity_bin/test.csv \ --tgt_scalers /data/processed/electricity_bin/tgt_scalers.bin \ --cat_encodings /data/processed/electricity_bin/cat_encodings.bin \ --visualize \ --save_predictions Expected behavior 'numpy.ndarray' object has no attribute 'new_full' Environment GPUs in the system: NVIDIA GeForce RTX 3090 CUDA driver version 520.61.05
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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 process the unscaled_predictions to tensor
To Reproduce
Steps to reproduce the behavior:
Expected behavior
'numpy.ndarray' object has no attribute 'new_full'
Environment
GPUs in the system: NVIDIA GeForce RTX 3090
CUDA driver version 520.61.05