Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

ERROR - Tensorflow op [UnravelIndex: UnravelIndex] is not supported #2019

Open
IamNaQi opened this issue Aug 4, 2022 · 2 comments
Open

ERROR - Tensorflow op [UnravelIndex: UnravelIndex] is not supported #2019

IamNaQi opened this issue Aug 4, 2022 · 2 comments
Labels
unsupported ops Issues related to unsupported operators

Comments

@IamNaQi
Copy link

IamNaQi commented Aug 4, 2022

Describe the bug
I am trying to convert savedModel from checkpoints of deeplabcut to onnx but getting while converting. I have tried with different opsets as well.

System information

  • windows 10
  • Tensorflow 2.7:
  • Python 3.7:

python -m tf2onnx.convert --saved-model "C:\Users\Naqi\Desktop\DLC\BlackMosue-Mouse1-2022-07-24\dlc-models\iteration-0\BlackMosueJul24-trainset95shuffle1\train\12\svdm" --output model10.onnx  --opset 10
C:\Users\Naqi\AppData\Local\Programs\Python\Python37\lib\runpy.py:125: RuntimeWarning: 'tf2onnx.convert' found in sys.modules after import of package 'tf2onnx', but prior to execution of 'tf2onnx.convert'; this may result in unpredictable behaviour
  warn(RuntimeWarning(msg))
2022-08-04 16:42:40,857 - WARNING - '--tag' not specified for saved_model. Using --tag serve
2022-08-04 16:42:42,534 - INFO - Signatures found in model: [serving_default].
2022-08-04 16:42:42,534 - WARNING - '--signature_def' not specified, using first signature: serving_default
2022-08-04 16:42:42,538 - INFO - Output names: ['out']
WARNING:tensorflow:Issue encountered when serializing model_variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
This operation is not supported when eager execution is enabled.
2022-08-04 16:42:42,553 - WARNING - Issue encountered when serializing model_variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
This operation is not supported when eager execution is enabled.
WARNING:tensorflow:Issue encountered when serializing variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
This operation is not supported when eager execution is enabled.
2022-08-04 16:42:42,558 - WARNING - Issue encountered when serializing variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
This operation is not supported when eager execution is enabled.
WARNING:tensorflow:Issue encountered when serializing trainable_variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
This operation is not supported when eager execution is enabled.
2022-08-04 16:42:42,559 - WARNING - Issue encountered when serializing trainable_variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
This operation is not supported when eager execution is enabled.
WARNING:tensorflow:From C:\Users\Naqi\AppData\Local\Programs\Python\Python37\lib\site-packages\tf2onnx\tf_loader.py:711: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
2022-08-04 16:42:43,535 - WARNING - From C:\Users\Naqi\AppData\Local\Programs\Python\Python37\lib\site-packages\tf2onnx\tf_loader.py:711: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
2022-08-04 16:42:43,908 - INFO - Using tensorflow=2.7.0, onnx=1.11.0, tf2onnx=1.12.0/a58786
2022-08-04 16:42:43,908 - INFO - Using opset <onnx, 10>
2022-08-04 16:42:44,423 - INFO - Computed 2 values for constant folding
2022-08-04 16:42:44,796 - INFO - folding node using tf type=StridedSlice, name=strided_slice_3
2022-08-04 16:42:44,797 - INFO - folding node using tf type=StridedSlice, name=strided_slice_11
2022-08-04 16:42:45,150 - WARNING - Conv Backprop Input with strides > 1 and non-constant shape has known bug. Workaround requires opset 12.
2022-08-04 16:42:45,167 - WARNING - Conv Backprop Input with strides > 1 and non-constant shape has known bug. Workaround requires opset 12.
2022-08-04 16:42:45,255 - ERROR - Tensorflow op [UnravelIndex: UnravelIndex] is not supported
2022-08-04 16:42:45,727 - ERROR - Unsupported ops: Counter({'UnravelIndex': 1})
2022-08-04 16:42:45,802 - INFO - Optimizing ONNX model
2022-08-04 16:42:49,316 - INFO - After optimization: Cast -5 (71->66), Concat -3 (18->15), Const -332 (520->188), Div -1 (59->58), Gather +4 (59->63), Identity -89 (97->8), Mul -3 (9->6), Reshape -19 (27->8), Shape -3 (62->59), Size -1 (4->3), Slice -11 (34->23), Squeeze -11 (72->61), Transpose -227 (233->6), Unsqueeze -15 (20->5)
2022-08-04 16:42:49,383 - INFO -
2022-08-04 16:42:49,383 - INFO - Successfully converted TensorFlow model C:\Users\Naqi\Desktop\DLC\BlackMosue-Mouse1-2022-07-24\dlc-models\iteration-0\BlackMosueJul24-trainset95shuffle1\train\12\svdm to ONNX
2022-08-04 16:42:49,387 - INFO - Model inputs: ['in']
2022-08-04 16:42:49,388 - INFO - Model outputs: ['out']
2022-08-04 16:42:49,388 - INFO - ONNX model is saved at model10.onnx
@fatcat-z fatcat-z added the unsupported ops Issues related to unsupported operators label Aug 9, 2022
@aruvi00
Copy link

aruvi00 commented Aug 22, 2023

Hi @IamNaQi,
I am having the same problem when converting graphdef from checkpoints of deeplabcut to onnx. Did you manage to solve your problem?

System information

windows 11
Tensorflow 2.13:
Python 3.8.12:

C:\Users\ainho\anaconda3\envs\DEEPLABCUT\lib\site-packages\scipy_init_.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.3)
warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of "
C:\Users\ainho\anaconda3\envs\DEEPLABCUT\lib\runpy.py:127: RuntimeWarning: 'tf2onnx.convert' found in sys.modules after import of package 'tf2onnx', but prior to execution of 'tf2onnx.convert'; this may result in unpredictable behaviour
warn(RuntimeWarning(msg))
WARNING:tensorflow:From C:\Users\ainho\anaconda3\envs\DEEPLABCUT\lib\site-packages\tf2onnx\tf_loader.py:302: convert_variables_to_constants (from tensorflow.python.framework.convert_to_constants) is deprecated and will be removed in a future version.
Instructions for updating:
This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.
2023-08-22 09:50:19,457 - WARNING - From C:\Users\ainho\anaconda3\envs\DEEPLABCUT\lib\site-packages\tf2onnx\tf_loader.py:302: convert_variables_to_constants (from tensorflow.python.framework.convert_to_constants) is deprecated and will be removed in a future version.
Instructions for updating:
This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.
WARNING:tensorflow:From C:\Users\ainho\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\framework\convert_to_constants.py:946: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.
2023-08-22 09:50:19,457 - WARNING - From C:\Users\ainho\AppData\Roaming\Python\Python38\site-packages\tensorflow\python\framework\convert_to_constants.py:946: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.
2023-08-22 09:50:20,971 - INFO - Using tensorflow=2.13.0, onnx=1.14.0, tf2onnx=1.14.0/015202
2023-08-22 09:50:20,971 - INFO - Using opset <onnx, 15>
2023-08-22 09:50:21,807 - INFO - Computed 2 values for constant folding
2023-08-22 09:50:22,397 - INFO - folding node using tf type=StridedSlice, name=strided_slice_3
2023-08-22 09:50:22,397 - INFO - folding node using tf type=StridedSlice, name=strided_slice_11
2023-08-22 09:50:23,359 - ERROR - Tensorflow op [UnravelIndex: UnravelIndex] is not supported
2023-08-22 09:50:23,361 - ERROR - Unsupported ops: Counter({'UnravelIndex': 1})
2023-08-22 09:50:23,430 - INFO - Optimizing ONNX model
2023-08-22 09:50:28,641 - INFO - After optimization: BatchNormalization -50 (53->3), Cast -4 (37->33), Concat +11 (44->55), Const -529 (674->145), Gather +7 (1->8), Identity -1 (1->0), Mul -3 (27->24), Shape -1 (9->8), Slice -7 (47->40), Split +11 (6->17), Squeeze -29 (34->5), Transpose -232 (250->18), Unsqueeze -45 (62->17)
2023-08-22 09:50:28,974 - INFO -
2023-08-22 09:50:28,974 - INFO - Successfully converted TensorFlow model C:\Users\ainho\OneDrive\Escritorio\LBWT_Tracker\exported_model\graphdef\snapshot-900000.pb to ONNX
2023-08-22 09:50:28,974 - INFO - Model inputs: ['Placeholder:0']
2023-08-22 09:50:28,984 - INFO - Model outputs: ['concat_1:0']
2023-08-22 09:50:28,984 - INFO - ONNX model is saved at C:\Users\ainho\OneDrive\Escritorio\LBWT_Tracker\exported_model\model3.onnx

@hmaarrfk
Copy link

just a kind bump.

Would a PR be accepted for this feature?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
unsupported ops Issues related to unsupported operators
Projects
None yet
Development

No branches or pull requests

4 participants