sgrvinod
commented
5 years ago @672401341 Hi, were you able to fix this?
It looks like the image (which is being normalized) is on the GPU, whereas the mean and standard deviation tensors are on the CPU. We're supplying the mean and standard deviations as lists, so they're converted to tensors by PyTorch internally. It's weird – I don't get the error when I try it on my computer.
You could try putting the image on the GPU after the normalization:
img = torch.FloatTensor(img)
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
transform = transforms.Compose([normalize])
image = transform(img).to(device) # (3, 256, 256)Let me know if this fixes it.
(You can ignore the other warnings, they're only because some layer definitions were changed after the model was trained.)
JunlongFeng
purveshpatel511
baitongda
ragvri
DrRyanHuang
nahyungsun
Problem: C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torchvision.models.resnet.Bottleneck' has changed. yo u can retrieve the original source code by accessing the object's source attribute or set
seq, alphas = caption_image_beam_search(encoder, decoder, args.img, word_map, args.beam_size)
File "caption.py", line 45, in caption_image_beamsearch
image = transform(img) # (3, 256, 256)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\transforms.py", line 60, in call
img = t(img)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\transforms.py", line 163, in call
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\functional.py", line 208, in normalize
tensor.sub(mean[:, None, None]).div_(std[:, None, None])
RuntimeError: Expected object of type torch.cuda.FloatTensor but found type torch.FloatTensor for argument #4 'other'
torch.nn.Module.dump_patches = Trueand use the patch tool to r evert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torchvision.models.resnet.Bottleneck' has changed. yo u can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to r evert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.DecoderWithAttention' has changed. you can ret rieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.Attention' has changed. you can retrieve the o riginal source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. you can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.sparse.Embedding' has changed. you c an retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to reve rt the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.rnn.LSTMCell' has changed. you can r etrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert t he changes. warnings.warn(msg, SourceChangeWarning) Traceback (most recent call last): File "caption.py", line 222, in(empty) E:\Program Files\a-PyTorch-Tutorial-to-Image-Captioning> (empty) E:\Program Files\a-PyTorch-Tutorial-to-Image-Captioning>python caption.py --img=e:/paper.jpg --model=fake/BEST_checkpoint_coco_5_cap_per_img_5min word_freq.pth.tar --word_map=fake/WORDMAP_coco_5_cap_per_img_5_min_word_freq.json --beam_size=5 C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.Encoder' has changed. you can retrieve the ori ginal source code by accessing the object's source attribute or set
seq,alphas = caption_image_beam_search(encoder, decoder, args.img, word_map, args.beam_size)
File "caption.py", line 45, in caption_image_beamsearch
image = transform(img) # (3, 256, 256)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\transforms.py", line 60, in call
img = t(img)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\transforms.py", line 163, in call
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\functional.py", line 208, in normalize
tensor.sub(mean[:, None, None]).div_(std[:, None, None])
RuntimeError: Expected object of type torch.cuda.FloatTensor but found type torch.FloatTensor for argument #4 'other'
torch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can re trieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert th e changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torchvision.models.resnet.Bottleneck' has changed. yo u can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to r evert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.DecoderWithAttention' has changed. you can ret rieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.Attention' has changed. you can retrieve the o riginal source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. you can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.sparse.Embedding' has changed. you c an retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to reve rt the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.rnn.LSTMCell' has changed. you can r etrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert t he changes. warnings.warn(msg, SourceChangeWarning) Traceback (most recent call last): File "caption.py", line 222, in(empty) E:\Program Files\a-PyTorch-Tutorial-to-Image-Captioning>python caption.py --img=e:/paper.jpg --model=fake/BEST_checkpoint_coco_5_cap_per_img_5min word_freq.pth.tar --word_map=fake/WORDMAP_coco_5_cap_per_img_5_min_word_freq.json --beam_size=5 C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.Encoder' has changed. you can retrieve the ori ginal source code by accessing the object's source attribute or set
seq,alphas = caption_image_beam_search(encoder, decoder, args.img, word_map, args.beam_size)
File "caption.py", line 45, in caption_image_beamsearch
image = transform(img) # (3, 256, 256)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\transforms.py", line 60, in call
img = t(img)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\transforms.py", line 163, in call
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "C:\Anaconda3\lib\site-packages\torchvision\transforms\functional.py", line 208, in normalize
tensor.sub(mean[:, None, None]).div_(std[:, None, None])
RuntimeError: Expected object of type torch.cuda.FloatTensor but found type torch.FloatTensor for argument #4 'other'
torch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can re trieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert th e changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torchvision.models.resnet.Bottleneck' has changed. yo u can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to r evert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.DecoderWithAttention' has changed. you can ret rieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'models.Attention' has changed. you can retrieve the o riginal source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. you can retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.sparse.Embedding' has changed. you c an retrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to reve rt the changes. warnings.warn(msg, SourceChangeWarning) C:\Anaconda3\lib\site-packages\torch\serialization.py:425: SourceChangeWarning: source code of class 'torch.nn.modules.rnn.LSTMCell' has changed. you can r etrieve the original source code by accessing the object's source attribute or settorch.nn.Module.dump_patches = Trueand use the patch tool to revert t he changes. warnings.warn(msg, SourceChangeWarning) Traceback (most recent call last): File "caption.py", line 222, inPytorch and python are installed according to the version you provide. Why does this happen? Thank you for your answer.