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import torch
import jovian 
import numpy as np
inputs = np.array([
    [73,67,43],
    [91,88,64],
    [87,134,58],
    [102,43,37],
    [69,96,70]
], dtype='float32')
targets = np.array([
    [56,70],
    [81,101],
    [119,133],
    [22,37],
    [103,119],
], dtype='float32')
inputs = torch.from_numpy(inputs)
targets = torch.from_numpy(targets)
print(inputs)
print(targets)
tensor([[ 73., 67., 43.], [ 91., 88., 64.], [ 87., 134., 58.], [102., 43., 37.], [ 69., 96., 70.]]) tensor([[ 56., 70.], [ 81., 101.], [119., 133.], [ 22., 37.], [103., 119.]])
inputs
tensor([[ 73.,  67.,  43.],
        [ 91.,  88.,  64.],
        [ 87., 134.,  58.],
        [102.,  43.,  37.],
        [ 69.,  96.,  70.]])