MO docs update reshape and deprecate (#2021)

* Updated documentation for Reshape, Squeeze and Unsqueeze

* Updated MO documentation about deprecated IR v7

docs/IE_DG/nGraph_Flow.md

@@ -35,7 +35,7 @@ The rest of the document describes the coexistence of legacy and new flows showe
 ## Read the Intermediate Representation to `CNNNetwork`
 
 As the new operation set is introduced, the Model Optimizer generates the IR version 10 using the new operations by default.
-Each layer generated in the IR has a semantics matching to the corresponding operation from the nGraph namespace `opset3`.
+Each layer generated in the IR has a semantics matching to the corresponding operation from the nGraph namespaces `opset1`, `opset2` etc.
 The IR version 10 automatically triggers the nGraph flow inside the Inference Engine.
 When such IR is read in an application, the Inference Engine IR reader produces `CNNNetwork` that encapsulates the `ngraph::Function` instance underneath.
 Thus the OpenVINO IR becomes a new serialization format for the nGraph IR, and it can be deserialized reading the `CNNNetwork`.
@@ -51,14 +51,7 @@ Both shapes and types are reinferred while loading to the Inference Engine using
 
 ### Legacy IR Versions
 
-You can read old versions of the IR in the Inference Engine.
-Each version below or equal to 7 is treated as an old one.
-When the Inference Engine reader reads an old version of the IR, it does not use the nGraph representation.
-There is no way to activate nGraph flow with an old IR version.
-The rest of this document is not applied in this case.
-
-Model Optimizer generates the IR version 10 by default, and there is the command line key `--generate_deprecated_IR_V7` which switches generation to the legacy IR version 7.
-It is useful when the new nGraph flow does not work for some reason.
+Starting from the OpenVINO™ release 2021.1 you cannot read IR version 7 and lower in the Inference Engine.
 
 ## Build a Model in the Application
 

docs/MO_DG/prepare_model/convert_model/Converting_Model_General.md

@@ -127,9 +127,6 @@ Framework-agnostic parameters:
                         value, for example: "node_name->True". It will be
                         DEPRECATED in future releases. Use --input option to
                         specify a value for freezing.
-  --generate_deprecated_IR_V7
-                        Force to generate old deprecated IR V7 with layers
-                        from old IR specification.
   --static_shape        Enables `ShapeOf` operation with all children folding to `Constant`.
                         This option makes model not reshapable in Inference Engine
   --disable_weights_compression

docs/ops/shape/Reshape_1.md

@@ -24,14 +24,20 @@
 
 **Inputs**:
 
-*   **1**: `data` -- multidimensional input tensor. Required.
+*   **1**: `data` -- multidimensional input tensor of type *T*. *Required*.
 
-*   **2**: `shape` -- 1D tensor describing output shape. Required.
+*   **2**: `shape` -- 1D tensor of type *T_SHAPE* describing output shape. *Required*.
 
 **Outputs**:
 
 *   **1**: Output tensor with the same content as a tensor at input `data` but with shape defined by input `shape`.
 
+**Types**
+
+* *T*: supported type.
+
+* *T_SHAPE*: supported integer type.
+
 **Examples**
 
 ```xml

docs/ops/shape/Squeeze_1.md

@@ -10,9 +10,15 @@
 
 **Inputs**:
 
-*   **1**: Multidimensional input tensor. Required.
+*   **1**: Multidimensional input tensor of type *T*. *Required*.
 
-*   **2**: `(optional)`: 0D or 1D tensor with dimensions indices to squeeze. Values could be negative. Indices could be integer or float values.
+*   **2**: 0D or 1D tensor of type *T_SHAPE* with dimensions indices to squeeze. Values could be negative. *Optional*.
+
+**Types**
+
+* *T*: supported type.
+
+* *T_SHAPE*: supported integer type.
 
 **Example**
 

docs/ops/shape/Unsqueeze_1.md

@@ -10,9 +10,15 @@
 
 **Inputs**:
 
-*   **1**: Multidimensional input tensor. Required.
+*   **1**: Multidimensional input tensor of type *T*. *Required*.
 
-*   **2**: OD or 1D tensor with dimensions indices to be set to 1. Values could be negative. Indices could be integer or float values.
+*   **2**: OD or 1D tensor of type *T_SHAPE* with dimensions indices to be set to 1. Values could be negative. *Required*.
+
+**Types**
+
+* *T*: supported type.
+
+* *T_SHAPE*: supported integer type.
 
 **Example**