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Convert Tensorflow model to OpenVINO model problem #47

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winnie840202 opened this issue Jun 19, 2019 · 3 comments
Closed

Convert Tensorflow model to OpenVINO model problem #47

winnie840202 opened this issue Jun 19, 2019 · 3 comments

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@winnie840202
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[Required] Your device (RaspberryPi3, LaptopPC, or other device name):
PC
[Required] Your device's CPU architecture (armv7l, x86_64, or other architecture name):
Intel I7-9700K
[Required] Your OS (Raspbian, Ubuntu1604, or other os name):
Ubuntu 16.04
[Required] Details of the work you did before the problem occurred:

When convert the YoloV3 model to Tensorflow model,It's seems

to successful.But,When I want to go to next step,convert the Tensorflow model to
OpenVINO model.And than,the issue was occurred.


[Required] Error message:

sudo python3 /opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/mo_tf.py --
input_model pbmodels/voc_weights_20190620.pb --output_dir lrmodels/YoloV3/FP32/ --
data_type FP32 --batch 1 --tensorflow_use_custom_operations_config
yolo_v3_changed_voc_20190620.json

Model Optimizer arguments:

Common parameters:

- Path to the Input Model: /home/e312/OpenVINO-
YoloV3/pbmodels/voc_weights_20190620.pb

- Path for generated IR: /home/e312/OpenVINO-YoloV3/lrmodels/YoloV3/FP32/

- IR output name: voc_weights_20190620

- Log level: ERROR

- Batch: 1

- Input layers: Not specified, inherited from the model

- Output layers: Not specified, inherited from the model

- Input shapes: Not specified, inherited from the model

- 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

- Offload unsupported operations: 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: /home/e312/OpenVINO-
YoloV3/yolo_v3_changed_voc_20190620.json

Model Optimizer version: 1.5.12.49d067a0

[ ERROR ] List of operations that cannot be converted to IE IR:

[ ERROR ] LeakyRelu (72)

[ ERROR ] detector/darknet-53/Conv/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_1/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_2/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_3/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_4/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_5/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_6/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_7/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_8/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_9/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_10/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_11/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_12/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_13/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_14/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_15/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_16/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_17/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_18/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_19/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_20/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_21/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_22/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_23/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_24/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_25/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_26/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_27/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_28/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_29/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_30/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_31/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_32/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_33/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_34/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_35/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_36/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_37/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_38/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_39/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_40/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_41/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_42/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_43/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_44/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_45/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_46/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_47/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_48/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_49/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_50/LeakyRelu

[ ERROR ] detector/darknet-53/Conv_51/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_1/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_2/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_3/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_4/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_7/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_8/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_9/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_10/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_11/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_12/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_13/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_15/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_16/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_17/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_18/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_19/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_20/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_21/LeakyRelu

[ ERROR ] detector/yolo-v3/Conv_5/LeakyRelu

[ ERROR ] Part of the nodes was not translated to IE. Stopped.

For more information please refer to Model Optimizer FAQ
(<INSTALL_DIR>/deployment_tools/documentation/docs/MO_FAQ.html), question #24.




[Required] Overview of problems and questions:



Please help me to solve this problem!Thank you.
@PINTO0309
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Please reinstall Tensorflow v1.12.0 and try converting again.

@winnie840202
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Please reinstall Tensorflow v1.12.0 and try converting again.

First,thank for your reply.

I use this command : pip3 install tensorflow==1.12.0
When I converting it,the ERROR appear again.
sudo python3 /opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/mo_tf.py
--input_model pbmodels/voc_weights_20190620.pb
--output_dir lrmodels/YoloV3/FP32/
--data_type FP32
--batch 1
--tensorflow_use_custom_operations_config yolo_v3_changed_voc_20190620.json
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /home/e312/OpenVINO-YoloV3/pbmodels/voc_weights_20190620.pb
- Path for generated IR: /home/e312/OpenVINO-YoloV3/lrmodels/YoloV3/FP32/
- IR output name: voc_weights_20190620
- Log level: ERROR
- Batch: 1
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: Not specified, inherited from the model
- 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
- Offload unsupported operations: 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: /home/e312/OpenVINO-YoloV3/yolo_v3_changed_voc_20190620.json
Model Optimizer version: 1.5.12.49d067a0
[ ERROR ] Cannot infer shapes or values for node "detector/darknet-53/Conv/LeakyRelu".
[ ERROR ] Op type not registered 'LeakyRelu' in binary running on e312-System-Product-Name. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) tf.contrib.resampler should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.
[ ERROR ]
[ ERROR ] It can happen due to bug in custom shape infer function <function tf_native_tf_node_infer at 0x7fe25597f158>.
[ ERROR ] Or because the node inputs have incorrect values/shapes.
[ ERROR ] Or because input shapes are incorrect (embedded to the model or passed via --input_shape).
[ ERROR ] Run Model Optimizer with --log_level=DEBUG for more information.
[ ERROR ] Stopped shape/value propagation at "detector/darknet-53/Conv/LeakyRelu" node.
For more information please refer to Model Optimizer FAQ (<INSTALL_DIR>/deployment_tools/documentation/docs/MO_FAQ.html), question #38.

Thank you.

@winnie840202
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Please reinstall Tensorflow v1.12.0 and try converting again.

Thank you.
I found a mistake.
When I reinstall Tensorflow v1.12.0.
I do not reconvert YoloV3 to Tensorflow weights.
So, When I convert the .pb file to generate .bin and .xml file always failed.

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@winnie840202 @PINTO0309