device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') x.to(device) y.to(device) model.to(device) 1. 2. 3. 4. 问题的关键,提示是隐藏层在cpu rnn的话 修改h0即可, 模型定义的地方,修改forword方法 h0 = torch.zeros(self.num_layers * 2, x.size(0), self.hidden_size...
model=nn.LSTM(input_size=10,hidden_size=4,num_layers=1,batch_first=True) print(next(model.parameters()).device) 1. 2. (1)可能是模型没有移动到和数据相同的device上:model.to(device) (2)可能是input和参数没有在相同device上,如下类似的操作即可: device=torch.device("cuda:0"i...
Device supports Managed Memory: Yes Device supports Compute Preemption: Yes Supports Cooperative Kernel Launch: Yes Supports MultiDevice Co-op Kernel Launch: Yes Device PCI Domain ID / Bus ID / location ID: 0 / 0 / 0 Compute Mode: < Default (multiple host threads ...
Subsystem: Micro-Star International Co., Ltd. [MSI] Device 3283 Kernel driverinuse: nouveau Software $ pacman -Q|rg mesa lib32-mesa 1:24.1.2-1 mesa 1:24.1.2-1 mesa-utils 9.0.0-4 vulkan-mesa-layers 1:24.1.2-1 $ pacman -Q|rg nouveau lib32-vulkan-nouveau 1:24.1.2-1 vulkan-no...
deviceName = VeriSilicon pipelineCacheUUID = 04620070-7d09-47bb-b5d1-0ac5c5b13c85 VkPhysicalDeviceLimits:--- maxImageDimension1D = 8192 maxImageDimension2D = 8192 maxImageDimension3D = 512 maxImageDimensionCube = 8192 maxImageArrayLayers = 512 maxTexelBufferElements = 65536 maxUniformBuffer...
The `MachEnvironment` instance runs a sequence of **layers**. Layers are classes responsible of one single aspect of a performance test. They Layers are classes responsible for one single aspect of a performance test. They are organized in three categories: - **system**: anything that sets ...
When I plotting neuron's activations, there is a runtime error: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! notice: This function is derived from: https:https://github.com/guillaume-chevalier/Spiking-Neural-Network-SN...
解决方法：将 XML 文件移到 drawable 下： 再次进行测试，成功运行： 一点建议：不要讲资源文件 ...
Error: Failed to create Cudnn handle in DeviceContext [Hint: CUDNN_STATUS_ARCH_MISMATCH] at (D:\1.7.0\paddle\paddle\fluid\platform\device_context.cc:283) [operator < fill_constant > error] 再次运行GeForce Experience, 将驱动恢复成了本机最高版本392.58 ...
false NGPULayers:99999999 MainGPU: TensorSplit: Threads:8 LibrarySearchPath: RopeFreqBase:0 RopeFreqScale:0 RMSNormEps:0 NGQA:0 ModelFile:/Users/mintyleaf/Projects/work/LocalAI/models/phi-2.Q2_K Device: UseTriton:false ModelBaseName: UseFastTokenizer:false PipelineType: SchedulerType: CUDA:...