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Related to Resnet50/pytorch
Describe the bug source code link https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Classification/ConvNets/image_classification/dataloaders.py#L153 If here define the pipeline with param dali_cpu=Ture, then the output of images = self.res(images) is already a gpu DataNode. Is it OK call the gpu() function at LINE:153?
The text was updated successfully, but these errors were encountered:
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Related to Resnet50/pytorch
Describe the bug
source code link https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Classification/ConvNets/image_classification/dataloaders.py#L153
If here define the pipeline with param dali_cpu=Ture, then the output of images = self.res(images) is already a gpu DataNode. Is it OK call the gpu() function at LINE:153?
The text was updated successfully, but these errors were encountered: