Roman Kazantsev
Roman Kazantsev
**Details:** TransposeSinking does not preserve tensor names during Transposes movement. Due to this issue, multiple e2e tests are failing now. Temporarily, we switched it off. Also, this PR set more...
I received W&D model for enabling inference using OpenVINO but I encounter inconsistency in the model: GatherND in the beginning generates output shape that is unacceptable by Reshape. Could you...
**Details:** Due to restrictions of LSTMSequence, currently we support only concatenated hidden states from all time steps. This implementation allows to infer one customer model from 91587 ticket. **Ticket:** 89069...
## Description MXNet does not support NumPy 1.24 ### Error Message Conversion of MXNet models by using OpenVINO Model Optimizer will raise this issue python3.8/site-packages/mxnet/numpy/utils.py:37: FutureWarning: In the future `np.bool`...
### Context OpenVINO component responsible for support of TensorFlow models is called as TensorFlow Frontend (TF FE). TF FE converts a model represented in [TensorFlow opset](https://www.tensorflow.org/api_docs/python/tf/raw_ops) to a model in...
### Context OpenVINO component responsible for support of TensorFlow models is called as TensorFlow Frontend (TF FE). TF FE converts a model represented in [TensorFlow opset](https://www.tensorflow.org/api_docs/python/tf/raw_ops) to a model in...
### Context OpenVINO component responsible for support of TensorFlow models is called as TensorFlow Frontend (TF FE). TF FE converts a model represented in [TensorFlow opset](https://www.tensorflow.org/api_docs/python/tf/raw_ops) to a model in...
**Details:** This legacy code previously was used for validation legacy FE in legacy inference API **Ticket:** TBD
### Context OpenVINO component responsible for support of TensorFlow models is called as TensorFlow Frontend (TF FE). TF FE converts a model represented in [TensorFlow opset](https://www.tensorflow.org/api_docs/python/tf/raw_ops) to a model in...
### Context OpenVINO component responsible for support of TensorFlow models is called as TensorFlow Frontend (TF FE). TF FE converts a model represented in [TensorFlow opset](https://www.tensorflow.org/api_docs/python/tf/raw_ops) to a model in...