- Als neu kennzeichnen
- Lesezeichen
- Abonnieren
- Stummschalten
- RSS-Feed abonnieren
- Kennzeichnen
- Anstößigen Inhalt melden
Does Openvino is fully compatible with RNN layers like LSTM, GRU etc, as openvino is explicitly targeting Computer vision Application.
As per official documentation of openvino supported layers.
Tensorflow - We dont find any LSTM, RNN layers mentioned - Below is one post which i raised and currently waiting for inputs
Torch / Onnx- We do find GRU and LSTM mentioned in Onnx Supported layers - Below is one post which i raised and currently waiting for inputs
Can you please provide working examples and also comment on above posts if possible.
- Als neu kennzeichnen
- Lesezeichen
- Abonnieren
- Stummschalten
- RSS-Feed abonnieren
- Kennzeichnen
- Anstößigen Inhalt melden
Hi Pankaj,
OpenVINO supports LSTM, GRU and RNN.
With regards to Model Optimizer, for ONNX framework, GRU and RNN are fully supported, whilst LSTM is supported with some limitations (Peepholes are not supported).
And with regards to Inference Engine, more information is available at the following pages:
- The Inference Engine header file, containing information about layers’ structure:
https://docs.openvinotoolkit.org/2020.4/ie__layers_8h_source.html
- Variable setting in Inference Engine header file:
https://docs.openvinotoolkit.org/2020.4/ie__layers_8h.html#a4253a83f8170c0b540688fa5081d7947
- The related Operations Specifications are given below:
- LSTMCell
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_LSTMCell_1.html
- LSTMSequence
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_LSTMSequence_1.html
- GRUCell
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_GRUCell_3.html
- RNNCell
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_RNNCell_3.html
Regards,
Munesh
Link kopiert
- Als neu kennzeichnen
- Lesezeichen
- Abonnieren
- Stummschalten
- RSS-Feed abonnieren
- Kennzeichnen
- Anstößigen Inhalt melden
Hi Pankaj,
OpenVINO supports LSTM, GRU and RNN.
With regards to Model Optimizer, for ONNX framework, GRU and RNN are fully supported, whilst LSTM is supported with some limitations (Peepholes are not supported).
And with regards to Inference Engine, more information is available at the following pages:
- The Inference Engine header file, containing information about layers’ structure:
https://docs.openvinotoolkit.org/2020.4/ie__layers_8h_source.html
- Variable setting in Inference Engine header file:
https://docs.openvinotoolkit.org/2020.4/ie__layers_8h.html#a4253a83f8170c0b540688fa5081d7947
- The related Operations Specifications are given below:
- LSTMCell
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_LSTMCell_1.html
- LSTMSequence
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_LSTMSequence_1.html
- GRUCell
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_GRUCell_3.html
- RNNCell
https://docs.openvinotoolkit.org/2020.4/openvino_docs_ops_sequence_RNNCell_3.html
Regards,
Munesh
- Als neu kennzeichnen
- Lesezeichen
- Abonnieren
- Stummschalten
- RSS-Feed abonnieren
- Kennzeichnen
- Anstößigen Inhalt melden
Hi Pankaj,
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

- RSS-Feed abonnieren
- Thema als neu kennzeichnen
- Thema als gelesen kennzeichnen
- Diesen Thema für aktuellen Benutzer floaten
- Lesezeichen
- Abonnieren
- Drucker-Anzeigeseite