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目录 讲解Attempting to deserialize object on a CUDA device but torch.cuda.is\_available() i
刺骨的言语ヽ痛彻心扉相关 报错：RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda
详细的报错信息如下： RuntimeError: Expected all tensors to be on the same device, but fo
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一般有三点错误 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") 1、
待我称王封你为后i相关 [debug] RuntimeError: CUDA error: no kernel image is available for execution on the device
问题描述 运行程序时出现报错： RuntimeError: CUDA error: no kernel image is available for execu
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RuntimeError: CUDA error: device-side assert triggered 报错信息 Traceback (most re
相关 RuntimeError: Attempting to deserialize object on CUDA device 1 but torch.cuda.device_count() is 1.
出现这样的原因是因为我用了第二块GPU训练，在另一台机器上加载模型的时候，没有了第二块GPU，这时候就要指定用“cuda:0” torch.load('./mo
相关 RuntimeError: CUDA error (10): invalid device ordinal
在运行cuda程序时发生报错，出现 RuntimeError: CUDA error (10): invalid device ordinal 造成这个错误的原因主要是
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问题： anchor_label = np.array(self.id_dict[int(anchor_id)]) identity_loss
相关 RuntimeError: CUDA error (10): invalid device ordinal
两张卡跑的train，在本机一张卡上test不了 结果很简单，直接将 `model.module` 拿出来就行了 因为之前双卡用的parallel def _
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