I am training a stacked GRU with a linear output layer. I have verified the input size is 3 dim. The code is giving me the following error: TypeError: relu(): argument ‘input’ (position 1) must be Tensor, not tuple
I have written code to convert my input numpy arrays to torch tensors but I am still getting that error.

class CustomDataset(Dataset):
def init(self, X_data, Y_data):
super(CustomDataset, self).init()
self.X_data = X_data.float()
self.Y_data = Y_data.float()

# Initializes the data and preprocessing.

def __getitem__(self, index):
    return self.X_data[:,:,:], self.Y_data[:,:,:]
# Returns data (input and output) in batches.
# There is an error in this part of the code.
def __len__ (self):
    return len(self.X_data[:,1,1])
# Returns the size of the input data.


inputdata = np.load(‘4thin.npy’)
outputdata = np.load(‘4thout.npy’)


trainX = inputdata[:208,:,:10]
trainX = torch.from_numpy(trainX)
print(trainX.shape)


trainY = outputdata[:208,:,:8]
trainY = torch.from_numpy(trainY)
print(trainY.shape)


testX = inputdata[208:,:,:10]
testX = torch.from_numpy(testX)
print(testX.shape)


testY = outputdata[208:,:,:8]
testY = torch.from_numpy(testY)
print(testY.shape)
#select a subset of the features from the data for testing of the script
#Loads in the input and output numpy arrays and splits into training and validation datasets.


train_dataloader = CustomDataset(trainX, trainY)
test_dataloader = CustomDataset(testX, testY)

The size of each of the tensors is the following:

torch.Size([208, 3, 10])
torch.Size([208, 1, 8])
torch.Size([208, 3, 10])
torch.Size([208, 1, 8])

I set up the program to print the x tensor and got the following:

tensor([[[  0.,   0.,   0.,  …,   0.,   0.,   0.],
[  0.,   0.,   0.,  …,   0.,   0.,   0.],
[ 15.,   5.,  34.,  …,   4.,  11.,   1.]],
[[  0.,   0.,   0.,  …,   7.,   6.,   7.],
[  6.,  15.,   0.,  …,   0.,   7.,   0.],
[  1.,   5.,  17.,  …,  61.,   9.,   0.]],
[[ 58.,  58.,  35.,  …,  87.,  54.,  38.],
[  0.,   0.,   0.,  …,   0.,   0.,   0.],
[  8.,   0.,   0.,  …,   0.,   0.,   0.]],
…,
[[  2.,   0.,   8.,  …,   3.,   2.,   2.],
[  4.,   4.,  30.,  …,   5.,   0.,  23.],
[125., 145.,  97.,  …, 179., 704., 140.]],
[[  0.,   0.,   0.,  …,   1.,   0.,   0.],
[ 78.,   0.,  43.,  …,  62.,   0.,  64.],
[ 45.,  88.,   0.,  …,   0.,  15.,   0.]],
[[  0.,   0.,   0.,  …,   0.,   0.,   0.],
[  0.,   0.,   0.,  …,   0.,   0.,   0.],
[112.,  84., 104.,  …, 133., 125.,  75.]]])

The script seems to think this is a tuple and not a tensor. Help would be much appreciated!