torch-int This repository contains integer operators on GPUs for PyTorch. Dependencies CUTLASS PyTorch with CUDA 11.3 NVIDIA-Toolkit 11.3 CUDA Driver 11.3 gcc g++ 9.4.0 cmake >= 3.12 Installation git clone --recurse-submodules https://github.com/Guangxuan-Xiao/torch-int.git conda create -n in...
/home/l50024761/llm/torch-int/submodules/cutlass/include/cutlass/arch/memory_sm75.h:208: void cutlass::arch::ldsm(cutlass::Array<unsigned int, MatrixCount, true> &, const void *) [with Layout = cutlass::layout::RowMajor; int MatrixCount = 4]: block: [0,9,0], thread: [96,0,0]...
# 需要导入模块: import torch [as 别名]# 或者: from torch importint[as 别名]def__init__(self, backbone: BackboneBase, num_classes:int, pooler_mode: Pooler.Mode, anchor_ratios: List[Tuple[int,int]], anchor_sizes: List[int], rpn_pre_nms_top_n:int, rpn_post_nms_top_n:int, anchor...
parse.add_argument('--init_method', type=str) parse.add_argument('--rank', type=int) parse.add_argument('--ws', type=int) args = parse.parse_args() if args.init_method == 'TCP': dist.init_process_group('nccl', init_method='tcp://127.0.0.1:28765', rank=args.rank, world_siz...
opset_version (int): 用于导出模型的ONNX操作集版本。 def export_onnx(): input = torch.zeros(1, 1, 1, 4) weights = torch.tensor([ [1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6] ],dtype=torch.float32) model = Model(4, 3, weights) ...
def verify_min_gpu_count(min_gpus: int = 2) -> bool: """ verification that we have at least 2 gpus to run dist examples """ has_cuda = torch.cuda.is_available() gpu_count = torch.cuda.device_count() return has_cuda and gpu_count >= min_gpus ...
exec_func=None,exp_name:str='',warmup_time:int=5)->None:torch.cuda.synchronize()s_t=time....
out_same, out_sft = torch.split(out, int (out.size(1) // 2), dim=1) D:\roop\.venv\lib\site-packages\gfpgan\archs\gfpganv1_clean_arch.py:114: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of ...
parser.add_argument('--canvas_size', default=1280, type=int, help='image size for inference') parser.add_argument('--mag_ratio', default=1.5, type=float, help='image magnification ratio') parser.add_argument('--poly', default=False ,action='store_true', help='enable polygon type') ...
world_size(int,optional) – 参与作业的进程数。 rank(int,optional) – 当前流程的排名。 timeout(timedelta,optional) – 针对进程组执行的操作超时,默认值等于30分钟,这仅适用于gloo后端。 group_name(str,optional,deprecated) – 团队名字。 要启用backend == Backend.MPI,PyTorch需要在支持MPI的系统上从源...