loss = F.cross_entropy(outputs, labels) # 报错--RuntimeError: element 0 of tensors does not require grad and does not have a loss = loss.requires_grad_() loss.backward() ## 问题3 问题展示 Pytorch RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but...
this lib seems to be able to test pytroch 1.5 with cuda 10.0 and pytorch seems to detect the gpu. 👍 3 amogkam mentioned this issue Jul 15, 2020 [ray][tune] Ray does not make GPU available to Trainables ray-project/ray#9503 Closed 2 tasks Snoeprol commented Mar 7, 2022 ...
detection.ConvertToTensor(cuda_input_frame) self.torch_detection.DetectAndDraw(self.TopFrame(), cuda_tensor, 'Pytorch only (no VPI)', self.scores_threshold) # --- Bottom Frame: With VPI --- vpi_output_frame = self.vpi_tnr.Denoise(cuda_input_frame, self.tnr_strength) with vpi_output_f...
conda install pytorch==1.12.1 torchvision==0.13.1 cudatoolkit=11.3 -c pytorch -c conda-forge The installation is success but the torch.cuda.is_available return false, so the inference result is not as expected. After using jtop to monitor, you can find the GPU utilization is also zero. H...
摘要:PaddlePaddle、PyTorch和TensorFlow都是非常流行的深度学习框架,各自有着自己的优势和适用场景。下面是它们的对比: 功能和易用性:PaddlePaddle是由百度开发的开源深度学习框架,它的功能比较全面,支持分布式训练、模型压缩、自动求导等高级功能,同时也提供了较为简单易用的 阅读全文 posted @ 2023-05-13 21:54 西...
如果没有准备好, 就放在 GraphTask 中的 not_ready 中。 如果graph_task->outstanding_tasks <= 0 则退出循环。即执行完了 GraphTask 所有的 Node。 主进程进行阻塞等待,等待 graph_task->future_result_,即工作线程结束。 具体代码如下: 代码语言:javascript ...
# If grid size does not match current we compute new offsets if grid_size != self.grid_size: self.compute_grid_offsets(grid_size, cuda=x.is_cuda) # Add offset and scale with anchors pred_boxes = FloatTensor(prediction[..., :4].shape) pred_boxes[..., 0] = x.data + self....
if not keep_difficult and difficult: continue name = obj.find('name').text.lower().strip() bbox = obj.find('bndbox') pts = ['xmin', 'ymin', 'xmax', 'ymax'] bndbox = [] for i, pt in enumerate(pts): cur_pt = int(bbox.find(pt).text) - 1 ...
torch.cuda.is_available() True PS: compiling pytorch using jetson nano is a nightmare . Hi, could you tell me how to install torchvision? I cant install it by “pip3 install torchvision” cause it would collecting torch(from torchvision), and PyTorch does not currently provide packages for ...
// // CUDA tensor can be supported if the MPI used is CUDA-aware MPI, and // ProcessGroupMPI will automatically detect this support. class ProcessGroupMPI : public ProcessGroup { public: class WorkMPI : public ProcessGroup::Work { public: explicit WorkMPI( std::vector<at::Tensor> output...