I am stuck in compute_total_loss function, I have searched and can not find resolution. All previous Tests have passed, Test code that is failing below.

```
tf.Tensor([0.25361034 0.5566767 ], shape=(2,), dtype=float32)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-39-0a8e136fceea> in <module>
17 print("\033[92mAll test passed")
18
---> 19 compute_total_loss_test(compute_total_loss, new_y_train )
<ipython-input-39-0a8e136fceea> in compute_total_loss_test(target, Y)
13 print(result)
14 assert(type(result) == EagerTensor), "Use the TensorFlow API"
---> 15 assert (np.abs(result - (0.50722074 + 1.1133534) / 2.0) < 1e-7), "Test does not match. Did you get the reduce sum of your loss functions?"
16
17 print("\033[92mAll test passed")
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Expected output
tf.Tensor(0.810287, shape=(), dtype=float32)
```

I have read through forums and can not deterrmine why this test is failing. I have restarted kernel, looked at one_hot_matrix function, and done transpose, but no joy. Hope this is not an issue unique to me, and it has been seen before.