Can't convert some OPs in my TF2 model

[sniper0110]

Describe the bug
I'm trying to convert a tensorflow 2 model to onnx and although I get a model at the end, I just can't use it because some of the OPs were not converted to onnx.

Urgency
Very important to get it to work soon.

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows
• Tensorflow Version: 2.8
• Python version: 3.8

To Reproduce
I ran the command :
python -m tf2onnx.convert --saved-model model_v0 --opset 15 --output model_v0.onnx
The model that I used is model_v0.zip

Additional context
The exact errors that I got are these:
ERROR - Tensorflow op [StatefulPartitionedCall/attend_copy_parse_model/mul: SparseDenseCwiseMul] is not supported
ERROR - Tensorflow op [StatefulPartitionedCall/attend_copy_parse_model/SparseReduceSum: SparseReduceSum] is not supported
ERROR - Unsupported ops: Counter({'SparseDenseCwiseMul': 1, 'SparseReduceSum': 1})

Thanks in advance!

[debjyoti003]

Same, I am also facing the same issue