看到有人说把torch.from_numpy()改成torch.Tensor(),我试了下确实可以,但是仅限于你只有这一个地方报错,如果用到torchvision.transforms之类的库,只要里面有从numpy转torch的操作就会报错 后来发现是因为numpy版本太高,我的是2.0.0,改成1.16.4之后就好了...
conv2d()函数要求input参数是一个Tensor,而不是numpy.ndarray。因此,如果你直接将numpy.ndarray作为输入传递给conv2d(),会导致类型不匹配的错误。 确认其他传递给conv2d()的参数是否正确: 除了input参数外,还需要确保weight、stride、padding等其他参数也是正确的Tensor类型或整数元组。 如果参数有误,根据conv2d()的...
TypeError: rsub() received an invalid combination of arguments - got (Tensor, numpy.ndarray), but expected one of: (Tensor input, Tensor other, *, Number alpha) (Tensor input, Number other, Number alp...TypeError: img should be PIL Image. Got class torch.Tensor 背景: 在pytorch中使用MN...
and the following new error appeared:ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 fro### m PyObject. And I re-executed commandpython setup.py develop. I recompiled mmcv and other libraries, but I still reported the following er...
after running colab of mmpose i am getting this error can somebody can explain and solve it ? BTW i have switch my python version from 3.8 to 3.7 and i have also downgrade my version of numpy as well but still getting the error :-( ...
ok,发现问题了,经过normalizer.transform()我的数据变成了numpy.ndarray类型,float64。那么咱们把类型转化过来就行了 ndarray的数据类型: https://blog.csdn.net/weixin_43181110/article/details/83996915?spm=1001.2101.3001.6650.1&utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7ECTRLIST%7Edefault-...
如果不mean,loss是一个ndarray[xx,xx,xx],直接print(loss.asnumpy())会报错。mean后既可算出loss。 xiefangqi3年前 已修改 @Mbaey ok,好消息是我这边忽略掉上面print的错误,已经能复现你的问题了: 我pull一下你最新的脚本,我们尝试分析一下是什么问题吧,有结果会及时在issue中同步。
3. numpy转tensor,其中,ndarray必须是等长的 x = np.array([[1, 2, 3], [4, 5, 6]]) # 正确 # x = np.array([[1, 2, 3], [4, 5]]) # 错误 print(torch.from_numpy(x)) 4. unsqueeze (不改变原有数据) import torch import numpy as np ...