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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-12-02 19:01:25 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-12-04 12:44:28 +0000 |
| commit | 6e1791b1bfabc81f08d3117939f6eb5264ed4edf (patch) | |
| tree | b984d58856ef9baa168bcf878659caddf599f623 /tests/validation/fixtures/ConvolutionLayerFixture.h | |
| parent | 5cb49dcf7ad74cc6e7e91790b7132ae4dd845515 (diff) | |
| download | ComputeLibrary-6e1791b1bfabc81f08d3117939f6eb5264ed4edf.tar.gz | |
COMPMID-2764: Add support for QASYMM8_SIGNED in NEConvolutionLayer.
Change-Id: I8fbbd2e399f48968337a60147098d04f27c2d1c0
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2402
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/ConvolutionLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ConvolutionLayerFixture.h | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/tests/validation/fixtures/ConvolutionLayerFixture.h b/tests/validation/fixtures/ConvolutionLayerFixture.h index c5cddc28db..3c4b625ac6 100644 --- a/tests/validation/fixtures/ConvolutionLayerFixture.h +++ b/tests/validation/fixtures/ConvolutionLayerFixture.h @@ -52,7 +52,9 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class ConvolutionValidationGenericFixture : public framework::Fixture { public: - using TBias = typename std::conditional<std::is_same<typename std::decay<T>::type, uint8_t>::value, int32_t, T>::type; + using TBias = typename std::conditional < std::is_same<typename std::decay<T>::type, uint8_t>::value + || std::is_same<typename std::decay<T>::type, int8_t>::value, + int32_t, T >::type; public: template <typename...> @@ -84,6 +86,13 @@ protected: library->fill(tensor, distribution, i); break; } + case DataType::QASYMM8_SIGNED: + { + std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f); + std::uniform_int_distribution<int8_t> distribution(bounds.first, bounds.second); + library->fill(tensor, distribution, i); + break; + } case DataType::QSYMM8_PER_CHANNEL: { int min_bound = 128; |