device = cuda_call(cuda.cuDeviceGet(device_id))self.ctx = cuda_call(cuda.cuCtxCreate(cuda.CUctx_flags.CU_CTX_SCHED_YIELD, device))self.logger = trt.Logger(trt.Logger.ERROR) trt.init_libnvinfer_plugins(self.logger, namespace="")withopen(model_path,'rb')asf, trt.Runtime(self.logger)...
I am using nvfortran 23.11 and Cuda 12.3 - just updated both. Previously, I was able to use cudaGetDeviceProperties as in: istat = cudaGetDeviceProperties(prop, 0) if(istat /= cudaSuccess) then write(,) ‘GetDevice k…
tensor=np.array(rx_tensor)# Run the PUSCH receiver pipelines.# Note that this is where we set the dynamically changing parameters.forname,pipelineinpipelines.items():start_time=time.time()tb_crcs,tbs=pipeline(slot=slot_number,rx_slot=rx_tensor,config=pusch_configs)exec_times[name]+=time....
+1 Like Tags Simulation / Modeling / Design|CUDA|featured|Python|Synthetic Data Generation About the Authors About Eric Leonard View all posts by Eric Leonard About Nathan Kundtz View all posts by Nathan Kundtz About Ethan Sharratt View all posts by Ethan Sharratt ...
\save_pickle(data=user_data,filename=user_data_fullpath)pusch_record=PuschRecord(# SCF FAPI 10.02 UL_TTI.request message parameters:pduIdx=0,SFN=(sample//num_slots_per_frame)%1023,Slot=slot_number,nPDUs=1,RachPresent=0,nULSCH=1,nULCCH=0,nGroup=1,PDUSize=0,pduBitmap=1,RNTI=rnti,Han...
GTC session:The CUDA Python Developer’s Toolbox NGC Containers: About Hari Sandanagobalane View all posts by Mike Murphy About Mukesh Kapoor Hello authors, First, thank you for recognizing the importance of compilation times, particularly dynamic compilation times. This can be quite critical in sy...
[23:59:14](pytorch) devicondainstallpytorch torchvision torchaudio pytorch-cuda=12.1-c pytorch -c nvidia -c nvidia Collecting package metadata (current_repodata.json):| WARNING conda.models.version:get_matcher(542): Using .* with relational operator is superfluous and deprecated and will be remo...
Start by installingAnaconda(orMiniconda),git, and if you have a TensorFlow-compatible GPU, install theGPU driver, as well as the appropriate version of CUDA and cuDNN (see TensorFlow's documentation for more details). Next, clone this project by opening a terminal and typing the following com...
Julia is already about 12x faster than the pure Python solvers here! Now let's add GPU-acceleration to the mix:def time_func(): sol = de.solve(ensembleprob,cuda.GPUTsit5(),cuda.EnsembleGPUKernel(cuda.CUDABackend()),trajectories=1000,saveat=0.01) timeit.Timer(time_func).timeit(number=...
一、问题在docker的conda环境中执行训练代码出现No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' File "/root/miniconda3/envs/ncsnpp/lib/python3.9/site-packages/torch/utils/cpp_ex…