“cuda using stream: false”这个表述并不是一个标准的CUDA API输出或错误信息,但从字面上理解,它可能意味着在当前的CUDA操作中,没有使用CUDA流来管理任务执行。换句话说,所有的操作都在默认的CUDA流(通常是0号流)上顺序执行,没有利用CUDA流来并行化操作。 3. 讨论不使用CUDA流可能的影响 性能瓶颈:如果所有操...
/opt/platformx/sentiment_analysis/gpu_env/lib64/python3.8/site-packages/torch/cuda/__init__.py:82: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:112.) return torch._C._...
According to CUDA Programming Guide"__match_all_syncReturns mask if all threads in mask have the same value for value; otherwise 0 is returned. Predicate pred is set to true if all threads in mask have the same value of value; otherwise the predicate is set to false." So, is it ...
I managed to upgrade CUDA to 11.8 on AGX Xavier with JetPack 5.1 inside a container nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3 . but after that, I could not use Pytorch on GPU as torch.cuda.is_available() returns False. Any suggestions? dusty_nv 2023 年7 月 31 日 14:...
\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...
usegpu=.FALSE., wantdebug=.FALSE., success=.TRUE., max_threads=1) at ../src/solve_tridi/./merge_recursive_template.F90:73 #10 0x0000000002aa31b3 in solve_tridi::solve_tridi_double (obj=..., na=4, nev=4, d=..., e=..., q=..., ldq=2, nblk=1, matrixcols=1, mpi_...
"is_debug_build": "False", "cuda_compiled_version": "11.8", "gcc_version": null, "clang_version": null, "cmake_version": "version 3.28.0-rc2", "os": "Microsoft Windows 10 Pro", "libc_version": "N/A", "python_version": "3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00...
In some cases, as in when VM CUDA version is 11.4 and PyTorch is 1.10.0+cu113, one must disable a check in the Apex setup script. This is currently done by removing the line in thesetup.pyfile as done with thesedcommand below. ...
importcuda, uint8, int32importnumbaimportnumpyasnpimportmathimporttime TPB =8TPB1 =9@cuda.jit()defbit_A_AT(A, C): sA = cuda.shared.array((TPB, TPB), dtype=uint8) sB = cuda.shared.array((TPB, TPB1), dtype=uint8) x, y = cuda.grid(2) tx = cuda.threadIdx.x ty =...
According to CUDA Programming Guide"__match_all_syncReturns mask if all threads in mask have the same value for value; otherwise 0 is returned. Predicate pred is set to true if all threads in mask have the same value of value; otherwise the predicate is set to false." So, is it ...