DR1 RNN requirements (#5772)

* DR1 RNN requirements

Add requirements related to RNN networks
remove redundant requirements

Signed-off-by: Efimov Alexander <a.efimov@samsung.com>

diff --git a/docs/project/19_NN_Compiler_and_Runtime_SRS.rst b/docs/project/19_NN_Compiler_and_Runtime_SRS.rst
index 20ba338..50c4041 100644 (file)
--- a/docs/project/19_NN_Compiler_and_Runtime_SRS.rst
+++ b/docs/project/19_NN_Compiler_and_Runtime_SRS.rst
@@ -117,15 +117,15 @@ Heterogeneous computing
      - Requirement Name
      - Description
 
-   * - RF-?
+   * - RF-6
      - HE: profiling
      - Runtime should be able to gather or import information about execution time of specific operations
 
-   * - RF-?
+   * - RF-7
      - HE: scheduling
      - Runtime should be able to use profile information to choose optimal assignment of operations to execution devices
 
-   * - RF-?
+   * - RF-8
      - HE: mixing backends
      - Runtime should be able to mix different types of execution devices in one compilation to achieve best performance
 
@@ -133,8 +133,7 @@ Heterogeneous computing
 RNN
 ---
 
-Detailed requirements will be described on DR1 milestone (end of July)
-
+No special requirements
 
 SW Non-Functional Requirements
 ==============================
@@ -166,7 +165,7 @@ Reliability
      - Description
    * - RNF-2
      - Reliability: input
-     - If the incorrect input data are provided inference should not be performed, but user should be informed about all errors which were met
+     - If the incorrect input data is provided inference should not be performed, but user should be informed about all errors which were met
 
 Security
 --------

diff --git a/docs/project/project_terms_and_abbreviation.rst b/docs/project/project_terms_and_abbreviation.rst
index 6298b9f..0b7be36 100644 (file)
--- a/docs/project/project_terms_and_abbreviation.rst
+++ b/docs/project/project_terms_and_abbreviation.rst
@@ -20,6 +20,10 @@
      - Neural network model (Instance of NN built with ML framework)
    * - NN compiler
      - The compiler for neural network
+   * - NN Package
+     - Serialized representation of NN model generated by NN Compiler
+   * - NN runtime
+     - Infrastructure to perform neural network inference
    * - ML framework
      - The machine learning framework
    * - TF/TF Lite
@@ -38,6 +42,4 @@
      - Computational Graph
    * - RNN
      - Recurrent Neural Network
-   * - NN Package
-     - Serialized representation of NN model generated by NN Compiler