srch

错误提示：RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated. 版本问题旧式写法. import torch x = torch.tensor(0.1) ...

return torch.cat([_create_buffer(data_) for data_ in data], dim=0). E RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated.

May 08, 2018 · Another option is to use unsqueeze to turn a 0-dim tensor into a 1-dim tensor: res.append ( (x_cloned [i] * x_cloned [i]).unsqueeze (0)) themis0888 commented on Feb 7, 2019 Well, it seems that last versions supported that operation, but from 0.4, you should unsqueeze the tensors which are the elements of the list. You can do that with

RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated - efficientdet-pytorch. Hello @rwightman, Thanks for your great repo.

02.12.2018 · 1.torch.cat(): error:RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated torch.cat() 函数传入的tuple里面的tensor维度不可以为0，创建一个非list的tensor的时候，就有了zero-dimensional tensor,在pytorch0.4版本中，...

Exception in device=TPU:7: zero-dimensional tensor (at position 0) cannot be ... position 0) cannot be concatenated RuntimeError: zero-dimensional tensor ...

Aug 21, 2017 · Yes - apparently now (in version 0.3.0) you can create 0-dimensional tensors. For example, torch.zeros (0, 0) will give [torch.FloatTensor with no dimension]. So now you can do torch.cat ( (torch.zeros (0, 0), torch.zeros (3, 3))). 3 Likes richard February 6, 2018, 2:58pm #5 You can also do torch.Tensor (). 2 Likes

Jan 27, 2018 · concatenate turns each of the items in the list into an array (if it isn't already), and tries to join them:. In [129]: np.concatenate([1,2,3,4]) ... ValueError: zero-dimensional arrays cannot be concatenated

26.01.2018 · concatenate turns each of the items in the list into an array (if it isn't already), and tries to join them:. In [129]: np.concatenate([1,2,3,4]) ... ValueError: zero-dimensional arrays cannot be concatenated hstack takes the added step of: arrs = [atleast_1d(_m) for _m in tup], making sure they are at least 1d:. In [130]: np.hstack([1,2,3,4]) Out[130]: array([1, 2, 3, 4])

torch.cat () input param： [ tuple, dim=] return : tensor. problem describe: 本来正常使用应该不会有什么问题，但是我在阅读源码的时候，遇到了一题提示错误：. RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated. 导致这个问题的code部分如下：. x = torch.tensor (0.5) y = torch ...

近期有个版本适配的任务，说白了就是把 PyTorch 0.3.0 的代码更新适配 PyTorch 1.0.2 ，. PyTorch 的向上兼容性在此时就可以体现出来了，令人欣慰的是直接升级版本后并没有太多报错，. 其中一个比较突出的问题就是 torch.stack () 和 torch.cat () 的变化。.

06.11.2021 · 错误提示：RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated 版本问题 旧式写法 import torch x = torch.tensor(0.1) y = torch.tensor(0.2) z = …

torch.cat () input param： [ tuple, dim=] return : tensor. problem describe: 本来正常使用应该不会有什么问题，但是我在阅读源码的时候，遇到了一题提示错误：. RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated. 导致这个问题的code部分如下：. x = torch.tensor (0.5) y = torch ...

Jun 06, 2019 · cls_indexs = torch.cat(cls_indexs,0) #(n,) RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated. please guide thank you.

21.08.2017 · Because torch.zeros(3, 0) is actually a 3-element Tensor (as opposed to Numpy, where it is empty). Now, @smth has said before that there are no 0 dimensional Tensors in pytorch (For-loop with a 2D matrix of size 0) but does...

TypeError: expected Variable as element 0 in argument 0, but got tuple; 4. RuntimeError: zero-dimensional tensor (at position 1) cannot be concatenated; 5.

15.04.2021 · RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'target' in call to _thnn_nll_loss_forward The shape of the mask [32, 8732] at index 0 does not match the shape of the indexed tensor [279424, 1] at index 0 tensorboard ValueError: Duplicate plugins for name projector RuntimeError: version_ <= …

02.12.2018 · return : tensor; problem describe: 本來正常使用應該不會有什麼問題，但是我在閱讀原始碼的時候，遇到了一題提示錯誤： RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated; 導致這個問題的code部分如下：

You attempt to use np.concatenate incorrectly. And yes, scalars are 0-dimensional arrays. – DYZ. Jan 27 '18 at 0:22.

... RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated RuntimeError: zero-dimensional tensor (at position 0) ...

RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated 简单就是转位int，再使用torch.tensor([x]]) torch.cat() 函数传入的tuple里面的tensor维度不可以为0，而我们直接创建一个非list的tensor的时候，就有了zero-dimensional tensor, 这在pytorch0.3 版本没有什么问题，但pytorch0.4版本中，加入了zero-dimensional tensor 的 ...

Hi, CurryYuan: I have met some problems as below: Preparing data... train on 36665 samples and val on 9508 samples loading data... loading data...

... line 26, in forward RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated. The problem turned out to happen at ...

08.05.2018 · By slicing items of one-dimensional tensors you get zero-dimensional tensors that cannot be concatenated. To force getting one-dimensional tensors you can slice x_cloned [i, None]. Side note: I am not sure what you are doing in production, but element-wise multiplication in pytorch is easily done using the * operator:

In Numpy I can do: np.hstack((np.zeros((3, 0)), np.zeros((3, 3))) and it would give me a 3x3 zero matrix.

Dec 02, 2018 · 1.torch.cat(): error:RuntimeError: zero-dimensional tensor (at position 0) cannot be concatenated torch.cat() 函数传入的tuple里面的tensor维度不可以为0，创建一个非list的tensor的时候，就有了zero-dimensional tensor,在pytorch0.4版本中，...