C4 W3 A1: Error in Tf function

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1 
def yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold = .6):
mentor edit: code removed

error

TypeError Traceback (most recent call last)
in
4 boxes = tf.random.normal([19, 19, 5, 4], mean=1, stddev=4, seed = 1)
5 box_class_probs = tf.random.normal([19, 19, 5, 80], mean=1, stddev=4, seed = 1)
----> 6 scores, boxes, classes = yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold = 0.5)
7 print("scores[2] = " + str(scores[2].numpy()))
8 print("boxes[2] = " + str(boxes[2].numpy()))

in yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold)
36 # same dimension as box_class_scores, and be True for the boxes you want to keep (with probability >= threshold)
37 ## (≈ 1 line)
—> 38 filtering_mask =(box_class_scores >= threshold)
39
40 # Step 4: Apply the mask to box_class_scores, boxes and box_classes

/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/gen_math_ops.py in greater_equal(x, y, name)
4053 _result = pywrap_tfe.TFE_Py_FastPathExecute(
4054 _ctx._context_handle, tld.device_name, “GreaterEqual”, name,
→ 4055 tld.op_callbacks, x, y)
4056 return _result
4057 except _core._NotOkStatusException as e:

TypeError: Cannot convert 0.5 to EagerTensor of dtype int64

2

Hii @Sanchay12,

I have moved this post to the DLS Course 4 category as other learners taking the same course might benefit from this.

Kindly make sure if you have any course-specific queries, explore the specialization category and post in the relevant course subcategory as course-specific mentors are actively answering the queries there. The General Discussions category is not monitored by our mentors.

If you are unclear about how to use Discourse, we have made this guide for our learners. I believe that reading this will help you out posting in the appropriate categories next time.

–
Happy Learning!!
Sharob

3

There seems to be an error in your code for the box class scores.

4

is it something to do with reduce_max()?

5

I do not know for certain.

6

Yes, there is a problem in reduce_max(). The argument should be box_scores with axis = -1.