当你在使用PaddlePaddle的GPU版本时遇到“your cuda device is not set properly”的错误,这通常意味着CUDA环境没有被正确配置或识别。以下是一些步骤和代码片段,帮助你检查和解决这个问题: 1. 检查PaddlePaddle是否为GPU版本 首先,确保你安装的是PaddlePaddle的GPU版本。你可以通过运行以下Python代码来检查: python import...
File “/home/user/Desktop/python/projects/infer.py”, line 116, in infer cuda.memcpy_htod(self.inputs[0][‘allocation’], np.ascontiguousarray(batch)) pycuda._driver.LogicError: cuMemcpyHtoD failed: invalid device context whats the problem? Environm...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - using new device-agnostic api instead of old api like torch.cpu or torch.cuda · pytorch/pytorch@b567ca0
Why must bind_to_thread be called before using CudaDevice on a separate thread? #271 workingjubilee opened this issue Jul 10, 2024· 0 comments Comments Copy link workingjubilee commented Jul 10, 2024 It is a safe function. Are there other safe functions which are depending on this ...
istat = cudaGetDeviceProperties(prop, 0) if(istat /= cudaSuccess) then write(,) ‘GetDevice kernel error:’, cudaGetErrorString(istat) stop endif write(,“('Device Name: ',a)”) trim(prop%name) write(,“('Max GridSize: ‘,2(i0,’ x '),i0)”) prop%maxGridSize ...
# [-0.0000, -0.0000, 0.2452, ..., 0.1763, -0.0000, -0.2748]], device='cuda:0'), # batch_sizes=tensor([ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])) ...
The algorithm is implemented on a graphics processing unit (GPU) using the compute unified device architecture (CUDA) development environment. The result shows better performance compared to the one implemented on a CPU.关键词: coprocessors inspection liquid crystal displays parallel algorithms thin ...
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1 passing C++ objects to CUDA kernel 12 CUDA kernel as member function of a class 10 Passing a class object to a kernel 0 How to call a CUDA kernel from inside a class containing device member variables 0 Access structure members inside a CUDA kernel 5 Accessing class data mem...
0 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 paddle::platform::GetCUDADeviceCount() ...