MLBEDSW-6036: Regenerate SUPPORTED_OPS.md

Updated constraints affect:
 - Constant tensors
 - MEAN operations
 - RESIZE_BILINEAR operations

Signed-off-by: James Peet <james.peet@arm.com>
Change-Id: I2a041fa2300a9ba6da048cc61e164f34897b2f50

1 files changed, 16 insertions, 10 deletions

diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index c20391c..f1e59aa 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: `3.2.0`
+Vela version: `3.2.1.dev26+gd13cd94.d20220215`
 
 This file complies with
 [**Gitiles Markdown syntax**](https://github.com/google/gitiles/blob/master/Documentation/markdown.md)
@@ -65,6 +65,7 @@ This is a list of constraints that all NPU operators must satisfy in order to be
 - Input(s), Output and Weight tensors must have quantization parameters
 - Input(s), Output and Weight tensors with quantization scales must be finite
 - Input and Output tensors must have quantization scales that fit within float32 precision
+- Constant tensors should not have NoneType-values
 - Tensors must be of type: int16, int32, int8, uint8
 - Tensors which are int32 are only valid when op type is: ADD, MUL, SUB
 - Tensor dimensions must be in the range [1, 65535]
@@ -211,14 +212,19 @@ This is a list of constraints that the MEAN operator must satisfy in order to be
 - Input tensor must be at least 2D
 - Axis indices must correspond to height and width axes
 - IFM Tensor batch size must be 1
-- Product of height and width can be at most 65536
-- Product of height and width can be at most 4096 when IFM and OFM have different scale or zero point,  
-        or keep_dims is True
-- 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  
+- Product of height and width must be no greater than 65536
+- Product of height and width must be no greater than 4096 when:  
+        IFM and OFM have different scale or zero point; or  
+        'keep_dims' is True
+- Product of IFM height and width must be no greater than 256 when:  
+        The IFM shape has 4 dimensions; and  
+        The axis indices specify reduction across 2 dimensions; and  
+        The axis indices correspond to the width and height dimensions of the IFM; and  
+        'keep_dims' is True; and  
         IFM datatype is int8
+- For single axis averages across the height dimension:  
+        IFM height must be no greater than 256 if the IFM and OFM scale and zero point match; otherwise  
+        IFM height must be no greater than 64 if the IFM and OFM scale or zero point do not match
 
 ### TFLite MINIMUM Constraints
 
@@ -265,8 +271,8 @@ This is a list of constraints that the RESIZE_BILINEAR operator must satisfy in
 - The width and height of the IFM and OFM must match one of the following criteria:  
         IFM W and H must both be 1  
         IFM must match OFM  
-        OFM W and H must be 2x IFM -1, if align_corners is True  
-        OFM W and H must be 2x IFM, if align_corners is False
+        OFM W and H must be equal and 2/4/8x IFM -1, if align_corners is True  
+        OFM W and H must be equal and 2/4/8x IFM, if align_corners is False
 - half_pixel_centers are not supported
 
 ### TFLite SOFTMAX Constraints