C:\ProgramFiles\IntelSWTools\openvino_2020.3.194\deployment_tools\model_optimizer>
python mo_tf.py --input_model test.pb --input_shape [1,1280,512,1]
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Program Files (x86)\IntelSWTools\openvino_2020.3.194\deployment_tools\model_optimizer\test.pb
- Path for generated IR: C:\Program Files (x86)\IntelSWTools\openvino_2020.3.194\deployment_tools\model_optimizer\.
- IR output name: test
- 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: [1,1280,512,1]
- 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
- Use the config file: None
Model Optimizer version:
2020-08-07 10:28:21.981240: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerro
r: cudart64_100.dll not found
2020-08-07 10:28:21.992116: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your
machine.
[ ERROR ] Exception occurred during running replacer "fusing" (<class 'extensions.middle.fusings.Fusing'>): After partial shape inference were found
shape collision for node segment/conv1/BatchNorm/FusedBatchNormV3/beta (old shape: [ 1 1280 512 32], new shape: [ 1 1280 512 -1])
How to solve this problem?Please help me!
Link Copied
Hi Sun Guan,
OpenVINO toolkit does not support FusedBatchNormV3 layer conversion.
More information about Supported Framework Layers is available at the following page:
I suggest you have a look at the following thread, which contains a workaround provided by our active community member.
Regards,
Munesh
Hi Sun Guan,
OpenVINO toolkit does not support FusedBatchNormV3 layer conversion.
More information about Supported Framework Layers is available at the following page:
I suggest you have a look at the following thread, which contains a workaround provided by our active community member.
Regards,
Munesh
Hi Sun Guan,
This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.
Regards,
Munesh
@penser, try using --disable_nhwc_to_nchw in your MO command and see if that makes any difference.
Regards,
Luis
For more complete information about compiler optimizations, see our Optimization Notice.