'Tensor' object has no attribute 'ndim'

[EnalisUs]

why this wrong
%%time

from tf_keras_vis.gradcam_plus_plus import GradcamPlusPlus

Create GradCAM++ object

gradcam = GradcamPlusPlus(model,
model_modifier=model_modifier,
clone=False)
score = CategoricalScore([1, 1,1])

Generate heatmap with GradCAM++

cam = gradcam(score, images, penultimate_layer=-1)

Since v0.6.0, calling normalize() is NOT necessary.

cam = normalize(cam)

Render

f, ax = plt.subplots(nrows=1, ncols=3, figsize=(12, 4))
for i, title in enumerate(image_titles):
heatmap = np.uint8(cm.jet(cam[i])[..., :3] * 255)
ax[i].set_title(title, fontsize=16)
ax[i].imshow(images[i])
ax[i].imshow(heatmap, cmap='jet', alpha=0.5)
ax[i].axis('off')
plt.tight_layout()
plt.savefig('/content/gradcam_plus_plus.png')
plt.show()

[EnalisUs]

outputs = model(seed_inputs, training=training)
93 outputs, penultimate_output = outputs[:-1], outputs[-1]
---> 94 score_values = self._calculate_scores(outputs, scores)
95 grads = tape.gradient(score_values,
96 penultimate_output,

4 frames
/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/ops.py in getattr(self, name)
441 np_config.enable_numpy_behavior()
442 """)
--> 443 self.getattribute(name)
444
445 @staticmethod

AttributeError: 'Tensor' object has no attribute 'ndim'