It is necessary to have both the model, and the data on the same device, either CPU or GPU, for the model to process data. ... <看更多>

Should pytorch flag to users when the default device isn't matching the device the op is run on? And say, I'm doing model parallelism as ... ... <看更多>

Run PyTorch networks on TPUs. PyTorch/XLA is a package that lets PyTorch connect to Cloud TPUs and use TPU cores as devices. Colab provides a free Cloud TPU ... ... <看更多>

model.cuda() by default will send your model to the "current device", which can be set with torch.cuda.set_device(device) . ... <看更多>

[Computing Devices]. We can specify devices, such as CPUs and GPUs, for storage and calculation. By default, tensors are created in the main memory and then ... ... <看更多>

The first way is to restrict the GPU device that PyTorch can see. For example, if you have four GPUs on your system and you want to GPU 2. ... <看更多>