MLBEDSW-8620: Fix MirrorPad supported ops check

Change-Id: I1458009f4b92c1a599efa3a63d6768148e55606d
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com>

3 files changed, 19 insertions, 8 deletions

diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index b2bd096..43f087f 100644
--- a/SUPPORTED_OPS.md
+++ b/SUPPORTED_OPS.md
@@ -1,5 +1,5 @@
 <!--
-SPDX-FileCopyrightText: Copyright 2020-2023 Arm Limited and/or its affiliates <open-source-office@arm.com>
+SPDX-FileCopyrightText: Copyright 2020-2024 Arm Limited and/or its affiliates <open-source-office@arm.com>
 
 SPDX-License-Identifier: Apache-2.0
 
@@ -19,7 +19,7 @@ limitations under the License.
 # Supported Ops
 
 This file was automatically generated by Vela using the `--supported-ops-report` parameter.  
-Vela version: `3.11.0.`
+Vela version: `3.11.0`
 
 This file complies with
 [**Gitiles Markdown syntax**](https://gerrit.googlesource.com/gitiles/+/HEAD/Documentation/markdown.md)
@@ -53,6 +53,7 @@ Please check the supported operator list for your chosen runtime for further inf
 | MAX_POOL_2D | [Generic](#tflite-generic-constraints), [Specific](#tflite-max_pool_2d-constraints) |
 | MEAN | [Generic](#tflite-generic-constraints), [Specific](#tflite-mean-constraints) |
 | MINIMUM | [Generic](#tflite-generic-constraints), [Specific](#tflite-minimum-constraints) |
+| MIRROR_PAD | [Generic](#tflite-generic-constraints), [Specific](#tflite-mirror_pad-constraints) |
 | MUL | [Generic](#tflite-generic-constraints), [Specific](#tflite-mul-constraints) |
 | PACK | [Generic](#tflite-generic-constraints) |
 | PAD | [Generic](#tflite-generic-constraints), [Specific](#tflite-pad-constraints) |
@@ -91,12 +92,12 @@ This is a list of constraints most NPU operators must satisfy in order to be sch
 - Output tensors cannot be scalar - [QUANTIZE]
 - Scalar Input tensors are only valid for op type: ADD, ARG_MAX, EXPAND_DIMS, MAXIMUM, MEAN, MINIMUM, MUL, QUANTIZE, SPLIT, SPLIT_V, SUB
 - Input(s) and Output tensors must not be greater than 4D
-- Input(s), Output and Weight tensors must have quantization parameters - [ARG_MAX, SHAPE, TRANSPOSE]
+- Input(s), Output and Weight tensors must have quantization parameters - [ARG_MAX, MIRROR_PAD, SHAPE, TRANSPOSE]
 - 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 - [ARG_MAX]
-- Tensors which are int32 are only valid when op type is: ADD, ARG_MAX, MUL, SHAPE, SUB, TRANSPOSE
+- Tensors which are int32 are only valid when op type is: ADD, ARG_MAX, MIRROR_PAD, MUL, SHAPE, SUB, TRANSPOSE
 - Tensor dimensions must be in the range [1, 65535]
 - Per-axis quantization is only supported for the following op types: CONV_2D, DEPTHWISE_CONV_2D, TRANSPOSE_CONV
 - IFM Tensor batch size must be 1 - [FULLY_CONNECTED, RESHAPE, SHAPE, SLICE, SOFTMAX, SPLIT, SPLIT_V, SQUEEZE, STRIDED_SLICE, UNPACK]
@@ -285,6 +286,15 @@ This is a list of constraints that the MINIMUM operator must satisfy in order to
 - Both Input quantization parameters must match OFM quantization parameters
 - Broadcasting is only allowed for rank indices with dimension 1, from either IFM1 or IFM2
 
+### TFLite MIRROR_PAD Constraints
+
+This is a list of constraints that the MIRROR_PAD operator must satisfy in order to be scheduled on the NPU.
+
+- The padding tensor must have the shape [3,2] or [4,2]
+- The pad tensor can only pad width and height
+- Pad tensor must be of type: int32, int64
+- The number of pad values for each direction must not be larger than the ifm size in that dimension
+
 ### TFLite MUL Constraints
 
 This is a list of constraints that the MUL operator must satisfy in order to be scheduled on the NPU.
diff --git a/ethosu/vela/tflite_supported_operators.py b/ethosu/vela/tflite_supported_operators.py
index ad61fca..91a3ee8 100644
--- a/ethosu/vela/tflite_supported_operators.py
+++ b/ethosu/vela/tflite_supported_operators.py
@@ -831,10 +831,11 @@ class TFLiteSupportedOperators:
     @staticmethod
     def constraint_mirror_pad_padding_values(op):
         "The number of pad values for each direction must not be larger than the ifm size in that dimension"
+        valid = True
         pad_tensor = op.inputs[1].values
         ifm_shape = op.inputs[0].shape
-        for dim_padding, ifm_dim_shape in enumerate(pad_tensor, ifm_shape):
-            if any(dim_padding > ifm_dim_shape):
+        for dim_padding, ifm_dim_shape in zip(pad_tensor, ifm_shape):
+            if any([pad_val > ifm_dim_shape for pad_val in dim_padding]):
                 valid = False
         return valid, f"IFM shape: {ifm_shape}, number of padding values per dimension: {pad_tensor}"
 
diff --git a/ethosu/vela/vela.py b/ethosu/vela/vela.py
index 66a2104..a4b93f1 100644
--- a/ethosu/vela/vela.py
+++ b/ethosu/vela/vela.py
@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright 2020-2023 Arm Limited and/or its affiliates <open-source-office@arm.com>
+# SPDX-FileCopyrightText: Copyright 2020-2024 Arm Limited and/or its affiliates <open-source-office@arm.com>
 #
 # SPDX-License-Identifier: Apache-2.0
 #
@@ -178,7 +178,7 @@ def print_subgraph_io_summary(nng):
 def generate_license():
     lines = [
         "<!--",
-        "SPDX-FileCopyrightText: Copyright 2020-2023 Arm Limited and/or its affiliates <open-source-office@arm.com>",
+        "SPDX-FileCopyrightText: Copyright 2020-2024 Arm Limited and/or its affiliates <open-source-office@arm.com>",
         "",
         "SPDX-License-Identifier: Apache-2.0",
         "",