Comments (4)
I've already tried and it didn't work.
from pinto_model_zoo.
What was the issue?
from pinto_model_zoo.
[ ERROR ] Cannot infer shapes or values for node "gradients_1/bert/encoder/layer_0/attention/self/MatMul_1_grad/BroadcastGradientArgs".
[ ERROR ] tf.placeholder() is not compatible with eager execution.
[ ERROR ]
[ ERROR ] It can happen due to bug in custom shape infer function <function tf_native_tf_node_infer at 0x7f03e588c510>.
[ 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.
[ ANALYSIS INFO ] It looks like there is IteratorGetNext as input
Run the Model Optimizer with:
--input "IteratorGetNext:0[16],IteratorGetNext:1[16 384],IteratorGetNext:2[16 384],IteratorGetNext:3[16 384],IteratorGetNext:4[16]"
And replace all negative values with positive values
[ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "gradients_1/bert/encoder/layer_0/attention/self/MatMul_1_grad/BroadcastGradientArgs" node.
For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.
from pinto_model_zoo.
It means Openvino does not support some of the ops. How did they convert BERT?
from pinto_model_zoo.
Related Issues (20)
- Aborted (core dumped) for full quantized tinyhitnet model
- 091_gaze-estimation-adas-0002 network HOT 1
- Release new 303_FAN with heatmaps HOT 3
- dataset HOT 1
- 410_FaceMeshV2 quantized tflite models are not functional HOT 1
- 053_BlazePose / 058_BlazePose_Full_Keypoints source HOT 3
- How to retrain simple MLP (palm_detection_full_inf_post_192x192.onnx) model with custom hand dataset ? HOT 2
- How to retrain simple MLP (palm_detection_full_inf_post_192x192.onnx) model with custom hand dataset ? HOT 2
- MiDaS conversion script to onnx
- Mismatch between BlendshapeV2 TensorFlow and TFLite Model
- 425_Gold-YOLO-Body-Head-Hand cannnot execute demo_goldyolo_onnx_image.py HOT 1
- How to increase batch size when using post_process_gen_tools HOT 5
- Add DepthAnything-V2
- Documentation on using 403_trt_pose_hand on non trt systems? HOT 2
- How To Convert Mediapipe BlazePose For Coral TPU HOT 8
- convert movenet tflite failed
- CREStereo "next" onnx models for tensorrt HOT 1
- Midas 3.1 Conversion Script HOT 2
- 032_FaceMesh Score Normalization
- yolov9_t_wholebody17 processing example HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pinto_model_zoo.