项目场景:
运行程序,出现报错信息 TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
。
Traceback (most recent call last):
File "tools/demo.py", line 97, in <module>
visualize_result(gallery_img, detections, similarities)
File "tools/demo.py", line 41, in visualize_result
(x1, y1), x2 - x1, y2 - y1, fill=False, edgecolor="#4CAF50", linewidth=3.5
File "/environment/miniconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 2358, in add_patch
self._update_patch_limits(p)
File "/environment/miniconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py", line 2381, in _update_patch_limits
patch_trf = patch.get_transform()
File "/environment/miniconda3/lib/python3.7/site-packages/matplotlib/patches.py", line 278, in get_transform
return self.get_patch_transform() + artist.Artist.get_transform(self)
File "/environment/miniconda3/lib/python3.7/site-packages/matplotlib/patches.py", line 752, in get_patch_transform
bbox = self.get_bbox()
File "/environment/miniconda3/lib/python3.7/site-packages/matplotlib/patches.py", line 845, in get_bbox
return transforms.Bbox.from_extents(x0, y0, x1, y1)
File "/environment/miniconda3/lib/python3.7/site-packages/matplotlib/transforms.py", line 839, in from_extents
bbox = Bbox(np.reshape(args, (2, 2)))
File "<__array_function__ internals>", line 6, in reshape
File "/home/featurize/work/.local/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 298, in reshape
return _wrapfunc(a, 'reshape', newshape, order=order)
File "/home/featurize/work/.local/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 54, in _wrapfunc
return _wrapit(obj, method, *args, **kwds)
File "/home/featurize/work/.local/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 43, in _wrapit
result = getattr(asarray(obj), method)(*args, **kwds)
File "/home/featurize/work/.local/lib/python3.7/site-packages/torch/tensor.py", line 458, in __array__
return self.numpy()
TypeError: can't convert CUDA tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
问题描述
这个问题是由 python 3.7 版本引起的。修改部分 python 源码即可。
根据报错信息,定位到 /home/featurize/work/.local/lib/python3.7/site-packages/torch/tensor.py
解决方案:
将 self.numpy() 改成 self.cpu().numpy(),即找到 tensor.py 的第 458 行
def __array__(self, dtype=None):
if dtype is None:
return self.numpy()
else:
return self.numpy().astype(dtype, copy=False)
改成