foamliu / Deep-Image-Matting-PyTorch

Deep Image Matting implementation in PyTorch
MIT License
816 stars 185 forks source link

Demo error #22

Closed Mlt123 closed 4 years ago

Mlt123 commented 4 years ago

/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py:435: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) /Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py:435: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) Traceback (most recent call last): File "demo.py", line 69, in checkpoint = torch.load(checkpoint) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 368, in load return _load(f, map_location, pickle_module) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 542, in _load result = unpickler.load() File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 505, in persistent_load data_type(size), location) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 114, in default_restore_location result = fn(storage, location) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 95, in _cuda_deserialize device = validate_cuda_device(location) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 79, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location='cpu' to map your storages to the CPU.

Snow-Willow commented 4 years ago

pytorch 1.1.0 cannot install

Mlt123 commented 4 years ago

7plus@7pluss-MacBook-Pro Deep-Image-Matting-PyTorch-master % python demo.py

/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) /Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py:493: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) Traceback (most recent call last): File "demo.py", line 69, in torch.load(checkpoint, map_location=lambda storage, location: 'cpu') File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 426, in load return _load(f, map_location, pickle_module, **pickle_load_args) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/serialization.py", line 613, in _load result = unpickler.load() File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/_utils.py", line 135, in _rebuild_tensor_v2 tensor = _rebuild_tensor(storage, storage_offset, size, stride) File "/Users/7plus/opt/anaconda3/lib/python3.7/site-packages/torch/_utils.py", line 130, in _rebuild_tensor t = torch.tensor([], dtype=storage.dtype, device=storage.device) AttributeError: 'str' object has no attribute 'dtype'

foamliu commented 4 years ago

The solution is in your error message: "If you are running on a CPU-only machine, please use torch.load with map_location='cpu' to map your storages to the CPU."