This doesn't work for any NamedTypes as the mobile type parser doesn't know how to resolve those. The unpickler allows the caller to inject a type resolver in for this purpose, use that so that when importing in a non-mobile environment you get the right results. A second problem also...
On Google Cloud Platform it does not work, it loads the model on gpu, whatever I try. class OPT: def __init__(self, model_name: str = "facebook/opt-2.7b", use_gpu: bool = False): self.model_name = model_name self.use_gpu = use_gpu and torch.cuda.is_available() print(f"...
🐛 Describe the bug Hi, I've been looking at direct GPU <-> GPU communication using the tensor.to pytorch function and I've found that it doesn't seem to be able to copy the tensor from one CUDA device to the other directly. I'm sorry if ...
(PyTorch + CPU/GPU) Example: Creating a Custom Image for Training (MPI + CPU/GPU) Example: Creating a Custom Image for Training (Horovod-PyTorch and GPUs) Example: Creating a Custom Image for Training (MindSpore and GPUs) Example: Creating a Custom Image for Training (TensorFlow and GPUs)...
Hello.I tried to install Pytorch to execute my programm on gpu, but i couldnt. I used instructions: Sequence of my actions: sudo apt-get -y update; 2.sudo apt-get -y install autoconf bc build-essential g+±8 gcc-8 …
总结一下,第一是增加batch size,增加GPU的内存占用率,尽量用完内存,而不要剩一半,空的内存给另外的程序用,两个任务的效率都会非常低。 第二,在数据加载时候,将num_workers线程数设置稍微大一点,推荐是8,16等,且开启pin_memory=True。,直接映射数据到GPU的专用内存,减少数据传输时间。
总结一下,第一是增加batch size,增加GPU的内存占用率,尽量用完内存,而不要剩一半,空的内存给另外的程序用,两个任务的效率都会非常低。 第二,在数据加载时候,将num_workers线程数设置稍微大一点,推荐是8,16等,且开启pin_memory=True。,直接映射数据到GPU的专用内存,减少数据传输时间。
model = getattr(models, args.model)() # By default, Adasum doesn't need scaling up learning rate. lr_scaler = hvd.size() if not args.use_adasum else 1 if args.cuda: # Move model to GPU. model.cuda() # If using GPU Adasum allreduce, scale learning rate by local_size. if args...
Hello, I am trying to install the pytorch_geometric on my computer which doesn't have GPU. When I try to run: !pip3 install torch-scatter !pip3 install torch-sparse !pip3 install torch-cluster !pip3 install torch-spine-conv !pip3 install...
- GPU: - NVIDIA H100 PCIe - NVIDIA H100 PCIe - NVIDIA H100 PCIe - NVIDIA H100 PCIe - available: True - version: 12.1 Lightning: - discrete-key-value-bottleneck-pytorch: 0.1.1 - enformer-pytorch: 0.8.7 - lightning: 2.1.1 - lightning-utilities: 0.9.0 ...