09.12.2015 · 6. This answer is not useful. Show activity on this post. For pytorch users, because searching for change tensor type in pytorch in google brings to this page, you can do: y = y.type (torch.LongTensor) Share. Improve this answer. Follow this answer to receive notifications. answered Dec 23 '20 at 17:00.
torch.Tensor.type_as — PyTorch 1.10.0 documentation torch.Tensor.type_as Tensor.type_as(tensor) → Tensor Returns this tensor cast to the type of the given tensor. This is a no-op if the tensor is already of the correct type. This is equivalent to self.type (tensor.type ()) Parameters tensor ( Tensor) – the tensor which has the desired type
We start by generating a PyTorch Tensor that’s 3x3x3 using the PyTorch random function. x = torch.rand (3, 3, 3) We can check the type of this variable by using the type functionality. type (x) We see that it is a FloatTensor. To convert this FloatTensor to a double, define the variable double_x = x.double (). double_x = x.double ()
torch.as_tensor(data, dtype=None, device=None) → Tensor Convert the data into a torch.Tensor. If the data is already a Tensor with the same dtype and device , no copy will be performed, otherwise a new Tensor will be returned with computational graph retained if data Tensor has requires_grad=True.
04.07.2021 · numpy.object_ is often referring to a mixed data type used in numpy or a collection of arrays having a different shape, which is not supported in PyTorch. Here is a small example: a = np.array([np.random.randn(1), np.random.randn(1, 1)]) a > array([[-0.8689455135513591], [0.6826695103629262]], dtype=object) x = torch.from_numpy(a) > TypeError: can't convert …
PyTorch Tutorial: PyTorch change Tensor type - convert and change a ... We start by generating a PyTorch Tensor that's 3x3x3 using the PyTorch random ...
05.05.2017 · In modern PyTorch, you just say float_tensor.double()to cast a float tensor to double tensor. There are methods for each type you want to cast to. If, instead, you have a dtype and want to cast to that, say float_tensor.to(dtype=your_dtype)(e.g., your_dtype = torch.float64) 6 Likes gt_tugsuu(GT) May 21, 2019, 6:05am #12
23.06.2020 · just add astype (self, typestring) method to the torch.tensor class, and have it take the same strings folks use for numpy, and map them to the corresponding torch types, and then we can always do x.astype ('float32') in our helper function and it won't crash if we're using the helper function on a tensor Alternatives
09.12.2021 · You can use below functions to convert any dataframe or pandas series to a pytorch tensor. import pandas as pd import torch # determine the supported device def get_device(): if torch.cuda.is_available(): device = torch.device('cuda:0') else: device = torch.device('cpu') # don't have GPU return device # convert a df to tensor to be used in pytorch def df_to_tensor(df): …