I assume you would want your data sample to be of the shape - [batch, 6, 100]
So Initialize a NumPy array of that shape
data = numpy.zeros((1, 6, 100)) #batch size equal to 1
and then populate this NumPy array the way you want.
Then convert this Numpy array to a torch tensor using -
torch_tensor = torch.from_numpy(data)
if you want to batch it, you could stack these tensors on top of each other at the 0th dimension making the input of shape batch_size, 6, 100