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How to check if pytorch is using the GPU? - Stack Overflow

In [1]: import torch In [2]: torch.cuda.current_device() Out[2]: 0 In [3]: ... PyTorch no longer supports this GPU because it is too old. The minimum ...

torch.cuda — PyTorch 1.6.0 documentation

torch.cuda. current_stream (device: Union[torch.device, str, int, None] = None) → torch.cuda.streams.Stream[source] ... If a given object is not allocated on a GPU, this is a no-op. ... For these core statistics, values are broken down as follows.

Multiprocessing best practices — PyTorch 1.6.0 documentation

If torch.Tensor.grad is not None , it is also shared. After a Tensor without a torch. ... a no-op, otherwise it will incur an additional memory copy that can slow down ...

Automatic differentiation package - torch.autograd — PyTorch 1.6.0 ...

As of now, we only support autograd for floating point Tensor types ( half, float, ... inputs (sequence of Tensor) – Inputs w.r.t. which the gradient will be returned (and not ... you can track down which forward op created each backward Function.

ultralytics/yolov3: YOLOv3 in PyTorch > ONNX > CoreML ... - GitHub

YOLOv3: python3 detect.py --cfg cfg/yolov3.cfg --weights yolov3.pt ... python3 test.py --cfg yolov3-spp.cfg --weights yolov3-spp-ultralytics.pt --img 640 --augment Namespace(augment=True, batch_size=16, ... No packages published ...

PyTorch v1.5.0 Now Available - Exxact - Exxact Corporation

21 Apr 2020 ... For PyTorch 1.5.0 we will no longer support Python 2, specifically ... in torch.float64, potentially slowing down your program or can lead to errors ...

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