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Published 20 hours ago • verified publisher icon onnx

Can't convert some OPs in my TF2 model

Open sniper0110 opened this issue 2 years ago • 1 comments

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!

sniper0110 avatar Feb 28 '22 16:02 sniper0110

Same, I am also facing the same issue

debjyoti003 avatar Jun 27 '22 06:06 debjyoti003