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In order to stack list of tf tensors you could use the tf function stack hence the name. for ur case, tf.stack([some_function(x) for x in ...

30.12.2021 · convert a list of strings into a tensor in pytorch . Unfortunately, you can't right now. And I don't think it is a good idea since it will make PyTorch clumsy. A popular workaround could convert it into numeric types using sklearn. Method 1. Unfortunately, you can’t right now.

Apr 12, 2021 · and this list becomes like this [<tf.Tensor: shape=(), dtype=string, numpy=b'I have gone and you will go'>, <tf.Tensor: shape=(), dtype=string, numpy=b'we will go'>] But I want to have an object like this <tf.Tensor: shape=(3,), dtype=string, numpy=array([b'I have gone and you will go', b'we will go'], dtype=object)>

Jul 16, 2021 · “how can I covert a list of tensor into tensor?” Code Answer By Jeff Posted on July 16, ...

Oct 20, 2017 · I have two list. list 1 a = [[tensor 40], [tensor 40], [tensor 40], …] (2400000 tensor in list each tensor size is 40) b = [[tensor 40], [tensor 40], [tensor 40], …] (2400000 tensor in list each tensor size is 40) I want to concat a and b to c c is a tensor and size is torch.Size([4800000, 40]) I use this method to solve my problem a = torch.stack(a)

tensors cant hold variable length data. you might be looking for cat for example, here we have a list with two tensors that have different sizes(in their ...

We can then print this tensor list Python variable to see what we have. print(tensor_list) We see that we have a tensor here, then a comma, then a tensor here, then a comma, and then a tensor there. So we have a list of three tensors. Let’s now turn this list of tensors into one tensor by using the PyTorch stack operation. stacked_tensor = torch.stack(tensor_list)

Stacks a list of rank-R tensors into one rank-(R+1) tensor.

12.04.2021 · 1 In order to stack list of tf tensors you could use the tf function stack hence the name for ur case, tf.stack ( [some_function (x) for x in something],axis=0) or you could stack them in numpy and then convert the array to a tensor, to do so using numpy np.stack inputting a list and axis Share Improve this answer answered Apr 12 at 8:28

Let's now create three tensors manually that we'll later combine into a Python list. We create our first PyTorch tensor using torch.tensor.

ValueError: only one element tensors can be converted to Python scalars. How can I convert the list of tensors to a tensor of tensors in pytorch?

13.03.2021 · 将装有tensor 的list 转为tensor；报错：ValueError: only one element tensors can be converted to Python scalars； stack()函数的使用

Mar 08, 2019 · import torch a = torch.arange (8).reshape (2, 2, 2) b = torch.arange (12).reshape (2, 2, 3) my_list = [a, b] my_tensor = torch.cat ( [a, b], dim=2) print (my_tensor.shape) #torch.Size ( [2, 2, 5]) you haven't explained your goal so another option is to use pad_sequence like this:

print(pt_tensor_from_list) We print pt_tensor_from_list, and we have our tensor. That is 1x3x4. We see that all of our original numbers are inside of it and we also know that they are being evaluated as floating32 numbers. Perfect - We were able to use the PyTorch tensor operation torch.Tensor to convert a Python list object into a PyTorch tensor.

1. l = list(torch.tensor([1,2,3])) ; 2. print(l) ; 3. >>>[tensor(1), tensor(2), tensor(3)] ; 4. k = torch.stack(l) ; 5. print(k).

07.03.2019 · for more info my list contains tensors each tensor have different size for example the first tensor size is torch.Size ( [76080, 38]) the shape of the other tensors would differ in the second element for example the second tensor in the list is torch.Size ( [76080, 36])

Ragged tensors can be converted to nested Python lists and NumPy arrays:, Note that the default setting in PyTorch stack is to insert a new ...

20.10.2017 · I have a list and there are many tensor in the list I want to turn it to just tensor, and I can put it to dataloader I use for loop and cat the tensor …

So we have a list of three tensors. Let’s now turn this list of tensors into one tensor by using the PyTorch stack operation. stacked_tensor = torch.stack (tensor_list) So we see torch.stack, and then we pass in our Python list that contains three tensors. Then the result of this will be assigned to the Python variable stacked_tensor.

I have a list and there are many tensor in the list I want to turn it to just tensor, and I can put it to dataloader I use for loop and cat ...

tensors cant hold variable length data. you might be looking for cat. for example, here we have a list with two tensors that have different ...