Expected scalar type int but found long int
WebMar 14, 2024 · emptyresultdataaccessexception: incorrect result size: expected 1, actual 0. 这个错误信息的意思是:空结果数据访问异常:结果大小不正确,期望为1,实际为0。. … WebOct 14, 2024 · It's hard to say without knowing your idea. You can see my code here.I am doing character embedding. At the input I have [sentences, words, characters].
Expected scalar type int but found long int
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WebJul 5, 2024 · # both fail: RuntimeError: expected scalar type Long but found Float d = torch.where(a == 1, torch.tensor(-1), a) d = torch.where(a == 1, torch.tensor([-1]), a) … WebDec 18, 2024 · a tutorial script executed as above (the Wine dataset); a result on the Jupyter Notebook: RuntimeError: expected scalar type Long but found Int; a result on the Visual Studio: failed and gave this output:
WebNov 24, 2024 · 3 Answers Sorted by: 2 nn.CrossEntropyLoss expects its label input to be of type torch.Long and not torch.Float. Note that this behavior is opposite to nn.BCELoss where target is expected to be of the same type as the input. If you simply remove the . from your label: label = torch.tensor ( [0]) # no . after 0 - now it is an integer WebOct 31, 2024 · PyTorch expects the input to a layer to have the same device and data type (dtype) as the parameters of the layer. For most layers, including conv layers, the default data type is torch.float32, i.e. a FloatTensor.. To fix your issue you can cast x to be the same type as the weight or bias parameters of the self.conv1 layer (assuming this is a …
WebNov 9, 2024 · If I change the last line to: out = net (a.to (torch.int32)) I will get the following error: 1389×445 73.1 KB. Any help will be appreciated! ptrblck November 9, 2024, 9:21am #2. PyTorch parameters are created as float32 tensors by default and expect the input to have the same type. Use net (a.float ()) to create a FloatTensor and it should ... Webloss = self.criterion(pred, gold.long()) # to solve the problem because expected scalar type long but not found Int return 'loss': loss and also from this 266 line code, we should change to this syntax
WebFeb 15, 2024 · This is also what the error message tries to say: Expected object of scalar type Double but got scalar type Float for argument Solutions: You have alreay found one: convert your data to torch.float32 by calling tensor.float () You can also specify the dtype when load the data: np.loadtxt (file_name,delimiter = ',',dtype="float32") Share
WebNov 1, 2024 · This line is the cause of your error: images = self.data.iloc [idx, 1:-1].values.astype (np.uint8).reshape ( (1, 16, 16)) images are uint8 ( byte) while the neural network needs inputs as floating point in order to calculate gradients (you can't calculate gradients for backprop using integers as those are not continuous and non-differentiable ... trackside training centerWebDec 16, 2024 · RuntimeError: expected scalar type Long but found Int. preds_h0 = cd.predict(x_h0) RuntimeError: expected scalar type Long but found Int. Testing on … trackside treats menuWebJun 25, 2024 · The issue can be fixed by setting the datatype of input to Double i.e torch.float32. I hope the issue came because your datatype is torch.float64.. You can avoid such situations either while setting the data, as explained in one of other answers or make the model type also to the same as of your data. i.e use either float64 or float32. trackside truck and auto palmer maWebApr 16, 2024 · Your input data to the model is tensor of type Double, while the model expects a float tensor. Do this in the last line of mkRandomBatch() function: return torch.tensor(batch_x).float(), torch.tensor(batch_t) trackside treasures blackshear gaWebApr 9, 2024 · The problem might be caused by data tensor. When data loader calls images via getitem() method, image is read with opencv and transformed to tensor.I think at that point, type of your data tensor is long but it should be float. If you cast your numpy array -named res- to float it should work fine.You can see my solution below. trackside tunes thomasWebAug 4, 2024 · RuntimeError: expected scalar type Int but found Float. I have a discrete action space spaces.Discrete (4); as well as an observation space that is composed of a 2D array, with each item being either 0, 1, 2, or 3 (thus, spaces.MultiDiscrete ( [ (1, 2*roo+1), (1, 2*roo+1), (1,5)]), where roo=20 ). I plan to conduct a DQN algorithm for them ... trackside tyres bayswaterWebnn.CrossEntropyLoss() expects target tensors of type Long, but what you're passing is of type Double. Try to change this line from: single_loss = loss_function(y_pred, train_op) trackside tyres youghal