export OMP_NUM_THREADS=(nproc--all) 简介:export OMP_NUM_THREADS=(nproc--all) 是一条 Linux 命令,用于设置 OpenMP(一个用于并行编程的应用程序接口)使用的线程数。 export OMP_NUM_THREADS=(nproc--all) 是一条 Linux 命令,用于设置 OpenMP(一个用于并行编程的应用程序接口)使用的线程数。 这条命令的含...
// 显式设置线程数 omp_set_num_threads(4); // 并行区域 #pragma omp parallel { int thread_id = omp_get_thread_num(); // 获取当前线程的 ID int num_threads = omp_get_num_threads(); // 获取当前并行区域的>线程数 printf("Hello from thread %d out of %d threads\n", thread_id, num...
export MIC_OMP_NUM_THREADS=240 export MIC_USE_2MB_BUFFERS=64K. ./fftchecknew 512 1024 1024. output 1024 512 627.922913 Here number of operations= 2.5* M* N*(log2(M*N))*numberOfTransforms. here M = 1024, N=1024, numberOfTransforms = 512. So gflops = operations/time = (26843545600...
If I export OMP_NUM_THREADS=1, it works, but it is not a parallel run. I attached all the code including OMP statements. Hope it can give more information module_Noah_NC_output.F module_Noahlsm_gridded_input.F Noah_driver.F 0 Kudos Copy link ...
# OMP_NUM_THREADS=14 please Check issue: https://github.com/AutoGPTQ/AutoGPTQ/issues/439 OMP_NUM_THREADS=14 \ CUDA_VISIBLE_DEVICES=0 \ swift export \ --model Qwen/Qwen2.5-1.5B-Instruct \ --dataset 'AI-ModelScope/alpaca-gpt4-data-zh#500' \ 'AI-ModelScope/alpaca-gpt4-data-en#500...
python torch_export_bug.py Threads before: 4 Threads after: 1 [+] Start [+] Got model [+] Starting process [+] Waiting process Getting model inside proc Got model inside proc [+] End Another option is export OMP_NUM_THREADS=1 on your Linux terminal 👍 2 🎉 2 ️ 2 Author...
export OMP_NUM_THREADS=24 export PHI_OMP_NUM_THREADS=240 Translate 0 Kudos Copy link Reply Ambuj_P_ Beginner 02-21-2014 05:05 AM 388 Views @Gregg Skinner Thanks but that was not what I was seeking. Anyways it is resolved now using entries in .bashrc of host ...
() if "OMP_NUM_THREADS" in os.environ: self.sess_opts.inter_op_num_threads = int( os.environ["OMP_NUM_THREADS"] ) self.providers = ["CPUExecutionProvider"] if device_type.lower() != "cpu": self.providers = ["CUDAExecutionProvider"] self.ort_session = ort.InferenceSession( mode...
// assert(length%(8*OMP_NUM_THREADS) == 0) // assert(l&63 == 0) // assert(r&63 == 0) // assert(res&63 == 0)# pragma offload target(mic:0) in(length) in(l,r,res : REUSE) {#ifdef __MIC__# pragma omp parallel { int part = length/omp_get_num_threads(); int star...
transpose_buffer_ptr + ompIdx * kvSplitSize * headSize : nullptr; at::native::data_index_init(begin, i, batchSize, j, num_head, l, kvSlice); for ([[maybe_unused]] auto z : c10::irange(begin, end)) { n = l * kvSplitSize; int64_t cur_kvSplitSize = std::min(kvSplit...