```
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [1,8732,4] vs. [1,10,0]
[[node compute/sub_1 (defined at /losses/smooth_l1_loss.py:22) ]] [Op:__inference_train_function_6041]
Errors may have originated from an input operation.
Input Source operations connected to node compute/sub_1:
compute/strided_slice_2 (defined at /losses/ssd_loss.py:43)
compute/strided_slice_3 (defined at /losses/ssd_loss.py:44)
```

When i compile a code with a vgg16 train on one class and a SSD from this github (GitHub - Socret360/object-detection-in-keras), i got a problem on the SSD loss function. The problem come from this two line :

```
bbox_true = y_true[:, :, -12:-8]
bbox_pred = y_pred[:, :, -12:-8]
```

So if someone have a nee an idea of the problem it will be very helpful