add fixed machine-translation-nar-{ru-en} models (#3127)

* add fixed machine-translation-nar-{ru-en} models

* add machine-translation-nar-{en-ru} models to device_support.md

* update machine-translation-nar-{} descriptions

* update machine-translation-nar-{en-ru} AC configs

* Update models/intel/machine-translation-nar-en-ru-0002/README.md

Co-authored-by: Vladimir Dudnik <[email protected]>

Author: bes-dev

models/intel/device_support.md

@@ -56,10 +56,12 @@
 | instance-segmentation-person-0007 | YES |    |    |
 | landmarks-regression-retail-0009 | YES | YES | YES |
 | license-plate-recognition-barrier-0001 | YES | YES | YES |
-| machine-translation-nar-de-en-0002 | YES | YES |    |
-| machine-translation-nar-en-de-0002 | YES | YES |    |
-| machine-translation-nar-en-ru-0001 | YES | YES |    |
-| machine-translation-nar-ru-en-0001 | YES | YES |    |
+| machine-translation-nar-de-en-0002 | YES |     |    |
+| machine-translation-nar-en-de-0002 | YES |     |    |
+| machine-translation-nar-en-ru-0001 | YES |     |    |
+| machine-translation-nar-ru-en-0001 | YES |     |    |
+| machine-translation-nar-en-ru-0002 | YES |     |    |
+| machine-translation-nar-ru-en-0002 | YES |     |    |
 | noise-suppression-denseunet-ll-0001 | YES |    |    |
 | noise-suppression-poconetlike-0001 | YES |    |    |
 | pedestrian-and-vehicle-detector-adas-0001 | YES | YES | YES |

models/intel/index.md

@@ -285,6 +285,8 @@ Deep Learning compressed models
 |------------|---------------------|-----------|
 | [machine-translation-nar-en-ru-0001](./machine-translation-nar-en-ru-0001/README.md) | 23.17 | 69.29 |
 | [machine-translation-nar-ru-en-0001](./machine-translation-nar-ru-en-0001/README.md) | 23.17 | 69.29 |
+| [machine-translation-nar-en-ru-0002](./machine-translation-nar-en-ru-0002/README.md) | 23.17 | 69.29 |
+| [machine-translation-nar-ru-en-0002](./machine-translation-nar-ru-en-0002/README.md) | 23.17 | 69.29 |
 | [machine-translation-nar-en-de-0002](./machine-translation-nar-en-de-0002/README.md) | 23.19 | 77.47 |
 | [machine-translation-nar-de-en-0002](./machine-translation-nar-de-en-0002/README.md) | 23.19 | 77.47 |
 

models/intel/machine-translation-nar-en-ru-0002/README.md

@@ -0,0 +1,42 @@
+# machine-translation-nar-en-ru-0002
+
+## Use Case and High-Level Description
+
+This is a English-Russian machine translation model based on non-autoregressive Transformer topology.
+
+Tokenization occurs using the SentencePieceBPETokenizer (see the demo code for implementation details) and is enclosed in tokenizer_src and tokenizer_tgt folders.
+
+## Specification
+
+| Metric            | Value                 |
+|-------------------|-----------------------|
+| GOps              | 23.17                 |
+| MParams           | 69.29                 |
+| Source framework  | PyTorch\*             |
+
+## Accuracy
+
+The quality metrics were calculated on the wmt19-ru-en dataset ("test" split in lower case).
+
+| Metric                    | Value         |
+|---------------------------|---------------|
+| BLEU                      |        22.7 % |
+
+## Input
+
+name: `tokens`
+shape: `1, 192`
+description: sequence of tokens (integer values) representing the tokenized sentence.
+The sequence structure is as follows (`<s>`, `</s>` and `<pad>` should be replaced by corresponding token IDs as specified by the dictionary):
+`<s>` + *tokenized sentence* + `</s>` + (`<pad>` tokens to pad to the maximum sequence length of 192)
+
+## Output
+
+name: `pred`
+shape: `1, 192`
+description: sequence of tokens (integer values) representing the tokenized translation.
+The sequence structure is as follows (`<s>`, `</s>` and `<pad>` should be replaced by corresponding token IDs as specified by the dictionary):
+`<s>` + *tokenized sentence* + `</s>` + (`<pad>` tokens to pad to the maximum sequence length of 192)
+
+## Legal Information
+[*] Other names and brands may be claimed as the property of others.

models/intel/machine-translation-nar-en-ru-0002/accuracy-check.yml

@@ -0,0 +1,24 @@
+models:
+  - name: machine-translation-nar-en-ru-0002
+    launchers:
+      - framework: dlsdk
+        adapter:
+          type: narnmt
+          vocabulary_file: tokenizer_tgt/vocab.json
+          merges_file: tokenizer_tgt/merges.txt
+          output_name: pred
+        inputs:
+          - name: "tokens"
+            value: 'tokens'
+            type: INPUT
+
+    datasets:
+      - name: WMT_en_ru
+        postprocessing:
+          - type: to_lower_case
+          - type: remove_repeats
+
+        metrics:
+          - type: bleu
+            smooth: True
+            reference: 0.227