解决]RuntimeError: cuda runtime error (700) : an illegal memory access was encountered
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2022-06-03 23:05:15
摘要:这个error发生在我得到训练好的Decoder之后,对latent space采样并生成新数据的时候,如下RuntimeError: cuda runtime error (700) : an illegal memory access was encountered at ..\aten\src\THC\THCCachingHostAllocator.cpp:278问题出在如何把数据sample存储在gpu上:torch.tensor(sample, device=device)。其中de...
摘要:
这个error发生在我得到训练好的Decoder之后,对latent space采样并生成新数据的时候,如下
RuntimeError: cuda runtime error (700) : an illegal memory access was encountered at ..\aten\src\THC\THCCachingHostAllocator.cpp:278
问题出在如何把数据sample
存储在gpu上:torch.tensor(sample, device=device)
。其中device变量为cuda:0
。\
正文:
看了很多别人的问题,发现可能是我生成的sample没有存储在GPU上,所以对cuda来说储存在CPU上的数据就是illegal memory access,非法存储访问。代码和Traceback如下:
# we will sample N embeddings, then decode and visualize them def vis_samples(model): ####################################### TODO ####################################### #################################################################################### sampled_embeddings = torch.FloatTensor(batch_size,nz).normal_() decoded_samples = model.decoder(sampled_embeddings) # decoder output images for sampled embeddings #################################### END TODO ###################################### fig = plt.figure(figsize = (10, 10)) ax1 = plt.subplot(111) ax1.imshow(torchvision.utils.make_grid(decoded_samples[:16], nrow=4, pad_value=1.)\ .data.cpu().numpy().transpose(1, 2, 0), cmap='gray') plt.show() vis_samples(ae_model)
RuntimeError Traceback (most recent call last)
<ipython-input-13-09e84dc7a8e5> in <module>
24 plt.show()
25
---> 26 vis_samples(ae_model)
<ipython-input-13-09e84dc7a8e5> in vis_samples(model)
20 fig = plt.figure(figsize = (10, 10))
21 ax1 = plt.subplot(111)
---> 22 ax1.imshow(torchvision.utils.make_grid(decoded_samples[:16], nrow=4, pad_value=1.)\
23 .data.cpu().numpy().transpose(1, 2, 0), cmap='gray')
24 plt.show()
~\AppData\Local\Continuum\anaconda3\envs\TF_GPU\lib\site-packages\torchvision\utils.py in make_grid(tensor, nrow, padding, normalize, range, scale_each, pad_value)
53
54 if tensor.dim() == 4 and tensor.size(1) == 1: # single-channel images
---> 55 tensor = torch.cat((tensor, tensor, tensor), 1)
56
57 if normalize is True:
RuntimeError: cuda runtime error (700) : an illegal memory access was encountered at ..\aten\src\THC\THCCachingHostAllocator.cpp:278
于是我把生成sample的代码改为
####################################### TODO ####################################### #################################################################################### sampled_embeddings = torch.FloatTensor(batch_size,nz).normal_() decoded_samples = model.decoder(torch.tensor(sampled_embeddings, device=device)) #################################### END TODO ######################################
所以问题的关键在于如何让sample存储在gpu上:torch.tensor(sample, device=device)
。其中device变量为cuda:0
。
本文地址:https://blog.csdn.net/weixin_40986679/article/details/109020428
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