Implement tflite compliant reverse for CPU

- Add support for negative axis values.
- Add option to use opposite ACL convention for dimension addressing.
- Add validation tests for the mentioned additions.

Resolves COMPMID-6497

Change-Id: I9174b201c3adc070766cc6cffcbe4ec1fe5ec1c3
Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10335
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 4 insertions, 4 deletions

diff --git a/tests/validation/reference/DFT.cpp b/tests/validation/reference/DFT.cpp
index fd126c7d73..2b03c270ac 100644
--- a/tests/validation/reference/DFT.cpp
+++ b/tests/validation/reference/DFT.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2020, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -400,10 +400,10 @@ SimpleTensor<T> conv2d_dft(const SimpleTensor<T> &src, const SimpleTensor<T> &w,
     auto              padded_src = pad_layer(src, padding_in);
 
     // Flip weights
-    std::vector<uint32_t>  axis_v = { 0, 1 };
-    SimpleTensor<uint32_t> axis{ TensorShape(2U), DataType::U32 };
+    std::vector<uint32_t> axis_v = { 0, 1 };
+    SimpleTensor<int32_t> axis{ TensorShape(2U), DataType::S32 };
     std::copy(axis_v.begin(), axis_v.begin() + axis.shape().x(), axis.data());
-    auto flipped_w = reverse(w, axis);
+    auto flipped_w = reverse(w, axis, /* use_inverted_axis */ false);
 
     // Pad weights to have the same size as input
     const PaddingList paddings_w = { { 0, src.shape()[0] - 1 }, { 0, src.shape()[1] - 1 } };