52d9d99d4c33b94706cd392c44a703afcd69fa77,art/estimators/object_detection/pytorch_faster_rcnn.py,PyTorchFasterRCNN,loss_gradient,#PyTorchFasterRCNN#Any#Any#,138

Before Change

        loss.backward(retain_graph=True)  // type: ignore

        grad_list = list()
        for img in image_tensor_list:
            gradients = img.grad.cpu().numpy().copy()
            grad_list.append(gradients)

        grads = np.stack(grad_list, axis=0)

        // BB
        grads = self._apply_preprocessing_gradient(x, grads)

After Change

            grads = np.swapaxes(grads, 1, 3)
            grads = np.swapaxes(grads, 1, 2)
        else:
            grads = grads.permute(0, 3, 1, 2)

        assert grads.shape == x.shape

        if self.clip_values is not None:

Instances