Path-1: 切分NHW,从[NHW, C] reduce 到[T, C]; Path-2: 从[T, C] reduce到[C]。 PyTorch中相应的kernel如下: int num_threads = at::get_num_threads(); Tensor buffer = at::empty({num_threads, n_channel}, input.options()).zero_(); scalar_t* buffer_data = buffer.data_ptr<scalar...
tensor([[0.8171]], device='cuda:0') root@3493e1323029:/workspace/src# ls /root/.cache/torch/ kernels As a workaround you could usePYTORCH_KERNEL_CACHE_PATH=your_cache_path python script.py(orexportthis env var) or you could also create the directory directly viamkdir -p. I also think...
dataset_path=None, cache_path='.criteo', rebuild_cache=True, min_threshold=10):"""数值和类别总列数"""self.NUM_FEATS= 23"""数值类别"""self.NUM_INT_FEATS= 7self.min_threshold=min_thresholdifrebuild_cacheornotPath(cache_path).exists(): ...
bnb_4bit_quant_type='nf4', ) ) model.config.use_cache = False new_model = "lion-gem...
ndarray = np.asarray(PIL.Image.open(path)) 从只包含一个元素的张量中提取值 value = torch.rand(1).item() 张量形变 # 在将卷积层输入全连接层的情况下通常需要对张量做形变处理,# 相比torch.view,torch.reshape可以自动处理输入张量不连续的情况。tensor = torch.rand(2...
(content) # 该数据是numpy array 格式,经过上面操作已经以pickle形式被存储 import pickle import gzip # as_posix()函数,主要使window系统的反斜杠'\',变成正斜杠'/' with gzip.open((PATH/FILENAME).as_posix(), 'rb') as f: ((x_train, y_train), (x_valid, y_valid), _) = pickle.load(...
Pin thread to cores sharing L2 cache with the current core (Linux or Android) cpuinfo_initialize();cpu_set_tcpu_set;CPU_ZERO(&cpu_set);conststructcpuinfo_cache*current_l2=cpuinfo_get_current_processor()->cache.l2;for(uint32_ti=0;i<current_l2->processor_count;i++) {CPU_SET(cpuinfo_ge...
@functools.lru_cache(1) # ❶ def getCandidateInfoList(requireOnDisk_bool=True): # ❷ mhd_list = glob.glob('data-unversioned/part2/luna/subset*/*.mhd') presentOnDisk_set = {os.path.split(p)[-1][:-4] for p in mhd_list} ❶ 标准库内存缓存 ❷ requireOnDisk_bool 默认筛选...
lru_cache(1) # ❶ def getCandidateInfoList(requireOnDisk_bool=True): # ❷ mhd_list = glob.glob('data-unversioned/part2/luna/subset*/*.mhd') presentOnDisk_set = {os.path.split(p)[-1][:-4] for p in mhd_list} ❶ 标准库内存缓存 ❷ requireOnDisk_bool 默认筛选掉尚未就位的...
torch.cuda.empty_cache() 也可以使用在命令行重置GPU的指令 代码语言:javascript 复制 nvidia-smi--gpu-reset-i[gpu_id] 2.张量(Tensor)处理 张量的数据类型 PyTorch有9种CPU张量类型和9种GPU张量类型。 张量基本信息 代码语言:javascript 复制 tensor=torch.randn(3,4,5)print(tensor.type())# 数据类型print...