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Tested with Openvino 2019_R3.1. It failed when I tried to convert a tf pb file to .xml/.bin with model optimizer and got bellow errors:
(vino) PS C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer> python.exe .\mo_tf.py --input_model "C:\Users\chen\Workspace\VINO\ma
tting\mmnet1.4.pb" --input_shape [1,256,256,3] --output_dir "C:\Users\chen\Workspace\VINO\models\mobilenet"
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Users\chen\Workspace\VINO\matting\mmnet1.4.pb
- Path for generated IR: C:\Users\chen\Workspace\VINO\models\mobilenet
- IR output name: mmnet1.4
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: [1,256,256,3]
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: False
- Reverse input channels: False
TensorFlow specific parameters:
- Input model in text protobuf format: False
- Path to model dump for TensorBoard: None
- List of shared libraries with TensorFlow custom layers implementation: None
- Update the configuration file with input/output node names: None
- Use configuration file used to generate the model with Object Detection API: None
- Operations to offload: None
- Patterns to offload: None
- Use the config file: None
Model Optimizer version: 2019.3.0-408-gac8584cb7
[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.back.ReduceToPooling.ReduceReplacer'>)": The node "MMNet/enc_block4/branch1/depthwise_conv_dilation/BatchNorm/moments/variance" is a Reduce operation for batch dimension which is not supported
[ ERROR ] Traceback (most recent call last):
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 273, in apply_replacements
for_graph_and_each_sub_graph_recursively(graph, replacer.find_and_replace_pattern)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\middle\pattern_match.py", line 58, in for_graph_and_each_sub_graph_recursively
func(graph)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\utils\replacement_pattern.py", line 29, in find_and_replace_pattern
apply_pattern(graph, **self.pattern(), action=self.replace_pattern) # pylint: disable=no-member
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\middle\pattern_match.py", line 95, in apply_pattern
action(graph, match)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\extensions\back\ReduceToPooling.py", line 82, in replace_pattern
node.name)
AssertionError: The node "MMNet/enc_block4/branch1/depthwise_conv_dilation/BatchNorm/moments/variance" is a Reduce operation for batch dimension which is not supported
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\main.py", line 298, in main
return driver(argv)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\main.py", line 247, in driver
is_binary=not argv.input_model_is_text)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\pipeline\tf.py", line 227, in tf2nx
class_registration.apply_replacements(graph, class_registration.ClassType.BACK_REPLACER)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 299, in apply_replacements
)) from err
Exception: Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.back.ReduceToPooling.ReduceReplacer'>)": The node "MMNet/enc_block4/branch1/depthwise_conv_dilation/BatchNorm/moments/variance" is a Reduce operation for batch dimension which is not supported
[ ERROR ] ---------------- END OF BUG REPORT --------------
[ ERROR ] -------------------------------------------------
How to fix such errors?
Thanks.
Link Copied
3 Replies
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Hi Brandon,
Can you please share what is the topology of your model?
Best Regards,
Surya
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Hi Surya,
Thanks for your reply.
After replacing BN layer with FusedBatchNorm in the model, previous errors are gone but new errors occur that spacetobatchnd/batchtospacend not supported:
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Users\branchen\Workspace\Realtime_Person_Detection\matting\mmnet2.0.pb
- Path for generated IR: C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\.
- IR output name: mmnet2.0
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: [1,256,256,3]
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: False
- Reverse input channels: False
TensorFlow specific parameters:
- Input model in text protobuf format: False
- Path to model dump for TensorBoard: None
- List of shared libraries with TensorFlow custom layers implementation: None
- Update the configuration file with input/output node names: None
- Use configuration file used to generate the model with Object Detection API: None
- Operations to offload: None
- Patterns to offload: None
- Use the config file: None
Model Optimizer version: 2019.3.0-408-gac8584cb7
[ ERROR ] List of operations that cannot be converted to Inference Engine IR:
[ ERROR ] SpaceToBatchND (26)
[ ERROR ] MMNet/enc_block0/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block0/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block0/branch3/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block1/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block1/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block1/branch3/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block2/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block2/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block2/branch3/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block3/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block3/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block3/branch3/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block4/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block4/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block5/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block5/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block6/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block6/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block7/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block7/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block8/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/enc_block9/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/dec_block2/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/dec_block2/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/dec_block3/branch1/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] MMNet/dec_block3/branch2/depthwise_conv_dilation/SpaceToBatchND
[ ERROR ] BatchToSpaceND (26)
[ ERROR ] MMNet/enc_block0/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block0/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block0/branch3/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block1/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block1/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block1/branch3/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block2/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block2/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block2/branch3/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block3/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block3/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block3/branch3/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block4/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block4/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block5/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block5/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block6/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block6/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block7/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block7/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block8/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/enc_block9/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/dec_block2/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/dec_block2/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/dec_block3/branch1/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] MMNet/dec_block3/branch2/depthwise_conv_dilation/BatchToSpaceND
[ ERROR ] Part of the nodes was not converted to IR. Stopped.
For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #24.
Attached it the model topology.
Thanks & Regards,
Brandon
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Hi Brandon,
- Please confirm if it is one of the supported topologies.
- If it is a custom model kindly ensure, all the layers are supported.
As per the error, some of the layers are not supported by the Inference Engine and cannot be translated to an Intermediate Representation.
You can extend the Model Optimizer by allowing generation of new types of layers and implement these layers in the dedicated Inference Engine plugins. For more information, refer to Extending the Model Optimizer with New Primitives page and Inference Engine Kernels Extensibility.
Best Regards,
Surya
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