1.torch.index_select():在维度dim上,按index索引数据,返回一个依index索引数据拼接的张量 input:要索引的张量 dim:要索引的维度 index:要索引数据的序号 t = torch.randint(0,9,size = (3,3)) id = torch.tensor([0,2],dtype = torch.long) # 数据类型必须指定long t_select = torch.index_select(...
注意:select()等效于切片。例如,tensor.select(0, index)等效于tensor[index],tensor.select(2, index)等效于tensor[:, :, index]. set(source=None, storage_offset=0, size=None, stride=None)
4、CLASStorch.cuda.device(device) [SOURCE] 可以改变选择的设备的上下文管理器 Parameters:device (torch.device or int)– device index to select. It’s a no-op if this argument is a negative integer or None. 5、torch.cuda.device_count() [SOURCE] 返回可使用GPU的数量 6、CLASStorch.cuda.devic...
index_select直接选取 在某个维度进行操作 a.index_select(0, [0, 2]):表示在第0个维度上选取第0和2的tensor: out.shape = torch.Size([2, 3 ,28, 28]) a.index_select(2,torch.arange(8)).shape 表示在第二个维度上取0:8,输出 torch.Size([4,2,8,28]) ...表示所有都取,方便书写 三个....
host->dispdrv) { pinctrl = devm_pinctrl_get_select_default(&pdev->dev); if (IS_ERR(pinctrl)) { ret = PTR_ERR(pinctrl); goto fb_pm_runtime_disable; } } if (!host->enabled) { writel(0, host->base + LCDC_CTRL); mxsfb_set_par(fb_info); mxsfb_enable_controller(fb_info);...
def device_count(): return torch_npu._C._npu_getDeviceCount() def can_device_access_peer(device_id, peer_device_id): r"""Checks if peer access between two devices is possible.""" device_id = _get_device_index(device_id, optional=True) ...
2019-12-03 16:15 −MyISAM引擎,记录数是结构的一部分,已存cache在内存中; InnoDB引擎,需要重新计算,id是主键的话,会加快扫描速度; 所以select count(*) MyISAM完胜! &nbs... 幂次方 0 743 Linux kernel device mapper 2019-12-09 14:16 −Device Mapper 是 Linux2.6 内核中支持逻辑卷管理的通用设备...
packages/torch/_inductor/graph.py:690|| via <function tuned_mm at 0x7ff11cbbc860> 2024-02-01 22:25:52,722||torch._inductor.select_algorithm||INFO||/notebooks/conda/envs/test_env/lib/python3.11/site-packages/torch/_inductor/select_algorithm.py:727||Max autotune selects from 1 choices....
video_input=None, input=None, output=None, confidence_threshold=0.1, opts=['train.init_checkpoint=/root/APE/model_final.pth', 'model.model_language.cache_dir=', 'model.model_vision.select_box_nums_for_evaluation=500', 'model.model_vision.text_feature_bank_reset=True', 'model.model_vision...
to(device) return loss, nTotal.item() 6.2.7 torch.masked_select 上面都是基于索引选择元素。masked_select 用于基于True 所在的位置选择元素。 x = torch.randn(3, 4) x mask = x.ge(0.5) mask # mask 是由 True 或 False 组成,基于 True torch.masked_select(x, mask)...