MLBEDSW-4095: Update RELEASE notes and other docs2.1.0.rc32.1.0

 - Updated release notes
 - Updated supported ops
 - Clarified platform support
 - Minor clean up of README

Signed-off-by: Tim Hall <tim.hall@arm.com>
Change-Id: I62b9ff66fc7729b184a5dbb322406cfcdef4e542

4 files changed, 77 insertions, 25 deletions

diff --git a/README.md b/README.md
index 5e460c0..edd3fe7 100644
--- a/README.md
+++ b/README.md
@@ -31,8 +31,8 @@ compiled model.
 
 ## Environment
 
-Vela runs on the Linux operating system and on Microsoft Windows,
-see note in Installation section below.
+Vela runs on the Linux and Microsoft Windows 10 operating systems, see note in
+Installation section below.
 
 ## Prerequisites
 
@@ -54,9 +54,9 @@ source code from
 [ML Platform](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela).
 Both methods will automatically install all the required dependencies.
 
-**Note:** For installing on Microsoft Windows you need to have a C99 capable
-toolchain installed. The recommended and tested toolchain is Microsoft Visual
-C++ 14.x Build Tools, see <https://wiki.python.org/moin/WindowsCompilers>
+**Note:** For installing on Microsoft Windows 10 you need to have a C99 capable
+toolchain installed.  The recommended and tested toolchain is Microsoft Visual
+C++ 14.2 Build Tools, see <https://wiki.python.org/moin/WindowsCompilers>
 
 ### PyPi
 
@@ -171,38 +171,39 @@ Some example networks that contain quantised operators which can be compiled by
 Vela to run on the Ethos-U NPU can be found at:
 <https://tfhub.dev/s?deployment-format=lite&q=quantized>
 
-## External APIs
+## APIs
 
-Please see [Vela External APIs](API.md) for information about Vela's low-level
-external API that can be used to enable Ethos-U code generation from other
-tools.
+Please see [Vela External APIs](API.md).
 
-## CLI Options
+## Contributions
 
-Please see [Vela CLI Options](OPTIONS.md) for detailed information about all of
-Vela's CLI options as well as a description of the system configuration file
-format.
+Please see [Vela Contributions](CONTRIBUTIONS.md).
 
-## Supported Operators
+## Debug Database
 
-Please see [Vela Supported Operators](SUPPORTED_OPS.md) for the list of
-operators that Vela supports in this release.
+Please see [Vela Debug Database](DEBUG_DB.md).
 
-## Testing
+## Options
 
-Please see [Vela Testing](TESTING.md).
+Please see [Vela CLI Options](OPTIONS.md).  This includes a description of the
+system configuration file format.
 
-## Contributions
+## Releases
 
-Please see [Vela Contributions](CONTRIBUTIONS.md).
+Please see [Vela Releases](RELEASES.md).
 
 ## Security
 
 Please see [Vela Security](SECURITY.md).
 
-## Releases
+## Supported Operators
 
-Please see [Vela Releases](RELEASES.md).
+Please see [Vela Supported Operators](SUPPORTED_OPS.md) for the list of
+operators supported in this release.
+
+## Testing
+
+Please see [Vela Testing](TESTING.md).
 
 ## Resources
 
diff --git a/RELEASES.md b/RELEASES.md
index 16cca1e..296d59b 100644
--- a/RELEASES.md
+++ b/RELEASES.md
@@ -5,6 +5,33 @@ main feature changes, interface changes and reported defects that have been
 fixed.  The version numbering adheres to the
 [semantic versioning](https://semver.org/) scheme.
 
+## Release 2.1.0 - 25/02/2021
+
+**Main feature changes:**
+
+* New operator support: PAD, MEAN and HARD_SWISH
+* New HillClimb tensor allocator (default)
+* Network performance improved of shallow layers
+* Updated support to TensorFlow Lite 2.4
+* Added Microsoft Windows 10 support
+* Extended debug database to support multiple Ethos-U Custom operators
+* Added cascading support to RESIZE_BILINEAR
+* Improved performance estimations
+
+**Interface changes:**
+
+* Addition of Vela configuration (.ini) file options:
+  * `MEM_burst_length`, `MEM_read_latency`, `MEM_write_latency`
+* Change to CLI options:
+  * `--tensor-allocator` (change default to HillClimb)
+* Addition of CLI options:
+  * `--verbose-all`
+
+**Reported defect fixes:**
+
+* Bug with handling multiple custom operators (MLCE-329)
+* Bug with configuring Ethos-U55 with DRAM (MLCE-322)
+
 ## Release 2.0.1 - 03/12/2020
 
 * Fixed a broken link in the long description used by PyPi
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index 20134cc..e48ebf5 100644
--- a/SUPPORTED_OPS.md
+++ b/SUPPORTED_OPS.md
@@ -1,7 +1,7 @@
 # Supported Ops
 
 This file was automatically generated by Vela using the `--supported-ops-report` parameter.  
-Vela version: `2.0.2.dev69+g83e3bb3.d20210212`
+Vela version: `2.1.0`
 
 This file complies with
 [**Gitiles Markdown syntax**](https://github.com/google/gitiles/blob/master/Documentation/markdown.md)
@@ -27,6 +27,7 @@ Please check the supported operator list for your chosen runtime for further inf
 | LOGISTIC | [Generic](#generic-constraints) |
 | MAXIMUM | [Generic](#generic-constraints), [Specific](#maximum-constraints) |
 | MAX_POOL_2D | [Generic](#generic-constraints), [Specific](#max_pool_2d-constraints) |
+| MEAN | [Generic](#generic-constraints), [Specific](#mean-constraints) |
 | MINIMUM | [Generic](#generic-constraints), [Specific](#minimum-constraints) |
 | MUL | [Generic](#generic-constraints), [Specific](#mul-constraints) |
 | PACK | [Generic](#generic-constraints) |
@@ -54,7 +55,7 @@ This is a list of constraints that all NPU operators must satisfy in order to be
 - Input(s) and Output tensors must not be dynamic
 - Input(s) and Output tensors must have a defined shape
 - Output tensors cannot be scalar
-- Scalar Input tensors are only valid for op type: ADD, MAXIMUM, MINIMUM, MUL, SPLIT, SPLIT_V, SUB
+- Scalar Input tensors are only valid for op type: ADD, MAXIMUM, MEAN, MINIMUM, MUL, SPLIT, SPLIT_V, SUB
 - Input(s) and Output tensors must not be greater than 4D
 - Tensors must be of type: int16, int32, int8, uint8
 - Tensors which are int32 are only valid when op type is: ADD, MUL, SUB
@@ -151,6 +152,7 @@ This is a list of constraints that the FULLY_CONNECTED operator must satisfy in
 - Optional Bias tensor must be of type: int32, int64
 - Optional Bias tensor values must fit within 40-bits
 - The output tensor(s) must have 2D shape
+- The IFM and OFM must have the same number of dimensions if keep_num_dims is set to true
 
 ## HARD_SWISH Constraints
 
@@ -190,6 +192,28 @@ This is a list of constraints that the MAX_POOL_2D operator must satisfy in orde
 - Kernel filter height must be in the range [1, 256]
 - Product of kernel filter width and height must be in the range [1, 65536]
 
+## MEAN Constraints
+
+This is a list of constraints that the MEAN operator must satisfy in order to be scheduled on the NPU.
+
+- IFM must be int8 or uint8
+- Every constraint in either one (or both) of the following sets of constraints must be fulfilled:  
+        Set A:  
+            IFM dimensions are 4,  
+            Axis indices are 1 and 2,  
+            keep_dims is set to True  
+        Set B:  
+            IFM zero point and OFM zero point are the same,  
+            IFM scale and OFM scale are the same
+- Input tensor must be at least 2D
+- Axis indices must correspond to height and width axes
+- Product of height and width can be at most 4096
+- Product of IFM height and width can be at most 256 when the following are true:  
+        IFM dimensions are 4,  
+        Axis indices are 1 and 2,  
+        keep_dims is set to True and  
+        IFM datatype is int8
+
 ## MINIMUM Constraints
 
 This is a list of constraints that the MINIMUM operator must satisfy in order to be scheduled on the NPU.
diff --git a/setup.py b/setup.py
index 98dfe52..2c77b70 100644
--- a/setup.py
+++ b/setup.py
@@ -58,7 +58,7 @@ setup(
         "Intended Audience :: Developers",
         "License :: OSI Approved :: Apache Software License",
         "Operating System :: POSIX :: Linux",
-        "Operating System :: Microsoft :: Windows",
+        "Operating System :: Microsoft :: Windows :: Windows 10",
         "Programming Language :: C",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3.6",