diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp index a7a2364475..d3d9c882eb 100644 --- a/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/ConcatTestImpl.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2017 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2017, 2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -61,7 +61,7 @@ bool NeedPermuteForConcat( } else { - ARMNN_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), + CHECK_MESSAGE(nDimensions == tensorInfo.GetShape().GetNumDimensions(), "Input shapes must have the same number of dimensions"); } } @@ -92,7 +92,7 @@ void Generate3dPermuteVectorForConcat( unsigned int & concatDim, std::pair<PermutationVector, PermutationVector> & permutations) { - ARMNN_ASSERT_MSG(numDimensions <= 3, + CHECK_MESSAGE(numDimensions <= 3, "Only dimensions 1,2 and 3 are supported by this helper"); unsigned int expandedBy = 3 - numDimensions; unsigned int expandedConcatAxis = concatDim + expandedBy; @@ -113,7 +113,7 @@ void Generate3dPermuteVectorForConcat( } else { - ARMNN_ASSERT(expandedConcatAxis == 0); + CHECK(expandedConcatAxis == 0); concatDim = 0; } } @@ -128,7 +128,7 @@ template<typename T> void PermuteTensorData( std::vector<T>& outputData) { IgnoreUnused(memoryManager); - ARMNN_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); + CHECK_MESSAGE(inputData != nullptr, "inputData must not be null"); if (inputData == nullptr) { // Nullptr is an error in the test. By returning without doing the concatenation @@ -182,7 +182,7 @@ template<typename T> void PermuteInputsForConcat( TensorInfo & outputTensorInfo) { IgnoreUnused(memoryManager); - ARMNN_ASSERT_MSG(inputTensorInfos.size() > 1, + CHECK_MESSAGE(inputTensorInfos.size() > 1, "Expecting more than one tensor to be concatenated here"); unsigned int numDims = 0; @@ -203,12 +203,12 @@ template<typename T> void PermuteInputsForConcat( // Store the reverese permutation. permuteVector = permutations.second; - ARMNN_ASSERT_MSG(!permuteVector.IsEqual(identity), + CHECK_MESSAGE(!permuteVector.IsEqual(identity), "Test logic error, we don't need permutation, so we shouldn't arrive here"); } else { - ARMNN_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), + CHECK_MESSAGE(numDims == tensorInfo.GetShape().GetNumDimensions(), "All inputs must have the same number of dimensions"); } @@ -249,7 +249,7 @@ template <typename T> void PermuteOutputForConcat( std::unique_ptr<ITensorHandle> && inputDataHandle, T * data) { - ARMNN_ASSERT_MSG(data != nullptr, "data must not be null"); + CHECK_MESSAGE(data != nullptr, "data must not be null"); if (data == nullptr) { // Nullptr is an error in the test. By returning without doing the permutation @@ -286,7 +286,7 @@ template<typename T> void Concatenate( unsigned int concatDim, bool useSubtensor) { - ARMNN_ASSERT_MSG(output != nullptr, "output must not be null"); + CHECK_MESSAGE(output != nullptr, "output must not be null"); if (output == nullptr) { // Nullptr is an error in the test. By returning without doing the permutation |