Why is my code not passing the testcase? Have done everything as asked.

import tensorflow as tf

def compute_total_loss(logits, labels):

“”"

Computes the total loss

```
Arguments:
logits -- output of forward propagation (output of the last LINEAR unit), of shape (6, num_examples)
labels -- "true" labels vector, same shape as Z3
Returns:
total_loss - Tensor of the total loss value
"""
# Set from_logits to True for categorical cross-entropy
total_loss = tf.reduce_sum(tf.keras.losses.categorical_crossentropy(labels, logits, from_logits=True))
return total_loss
```

OUTPUT

tf.Tensor(0.17102128, shape=(), dtype=float32)

AssertionError: Test does not match. Did you get the reduce sum of your loss functions?