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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2022-10-27 11:37:29 +0100 |
|---|---|---|
| committer | TeresaARM <teresa.charlinreyes@arm.com> | 2022-10-28 10:23:36 +0000 |
| commit | 4d85adf436092d01ca0957967156e36060e8be68 (patch) | |
| tree | ad13e2320c98f93c058b0cd43186005e7258d1ee /delegate/src/test/ReduceTest.cpp | |
| parent | 0f86ecfce593a302ebd2baf8b70c9f6f50616f81 (diff) | |
| download | armnn-4d85adf436092d01ca0957967156e36060e8be68.tar.gz | |
IVGCVSW-7296 REDUCE_PROD tests fail when using Tf 2.10
* In TF what ArmNN calls quantized data types can be non-quantized as well.
* This patch creates 2 models:
* ArmNN: model where int8 and uint8 will always be quantized, but scale can be 1 and offset 0
* TFLite: model where int8 and uint8 can be quantized and non-quantized
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id960f2f30988f2bbec88cb4e0c52c189ac957bae
Diffstat (limited to 'delegate/src/test/ReduceTest.cpp')
| -rw-r--r-- | delegate/src/test/ReduceTest.cpp | 18 |
1 files changed, 6 insertions, 12 deletions
diff --git a/delegate/src/test/ReduceTest.cpp b/delegate/src/test/ReduceTest.cpp index b81c5df592..9c11c8736c 100644 --- a/delegate/src/test/ReduceTest.cpp +++ b/delegate/src/test/ReduceTest.cpp @@ -354,8 +354,7 @@ TEST_CASE ("Sum_Fp32_GpuAcc_Test") TEST_SUITE("Prod_CpuRefTests") { -TEST_CASE ("Prod_Uint8_KeepDims_CpuRef_Test" - * doctest::skip(true) ) +TEST_CASE ("Prod_Uint8_KeepDims_CpuRef_Test") { std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; std::vector<uint8_t> expectedOutputValues { 4, 6, 3 }; @@ -364,8 +363,7 @@ TEST_CASE ("Prod_Uint8_KeepDims_CpuRef_Test" expectedOutputValues); } -TEST_CASE ("Prod_Fp32_CpuRef_Test" - * doctest::skip(true) ) +TEST_CASE ("Prod_Fp32_CpuRef_Test") { std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; std::vector<float> expectedOutputValues { 10010.0f, 11022.0f, 12036.0f }; @@ -379,8 +377,7 @@ TEST_CASE ("Prod_Fp32_CpuRef_Test" TEST_SUITE("Prod_CpuAccTests") { -TEST_CASE ("Prod_Uint8_KeepDims_CpuAcc_Test" - * doctest::skip(true) ) +TEST_CASE ("Prod_Uint8_KeepDims_CpuAcc_Test" ) { std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; std::vector<uint8_t> expectedOutputValues { 4, 6, 3 }; @@ -389,8 +386,7 @@ TEST_CASE ("Prod_Uint8_KeepDims_CpuAcc_Test" expectedOutputValues); } -TEST_CASE ("Prod_Fp32_CpuAcc_Test" - * doctest::skip(true) ) +TEST_CASE ("Prod_Fp32_CpuAcc_Test") { std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc}; std::vector<float> expectedOutputValues { 10010.0f, 11022.0f, 12036.0f }; @@ -404,8 +400,7 @@ TEST_CASE ("Prod_Fp32_CpuAcc_Test" TEST_SUITE("Prod_GpuAccTests") { -TEST_CASE ("Prod_Uint8_KeepDims_GpuAcc_Test" - * doctest::skip(true) ) +TEST_CASE ("Prod_Uint8_KeepDims_GpuAcc_Test") { std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; std::vector<uint8_t> expectedOutputValues { 4, 6, 3 }; @@ -414,8 +409,7 @@ TEST_CASE ("Prod_Uint8_KeepDims_GpuAcc_Test" expectedOutputValues); } -TEST_CASE ("Prod_Fp32_GpuAcc_Test" - * doctest::skip(true) ) +TEST_CASE ("Prod_Fp32_GpuAcc_Test") { std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; std::vector<float> expectedOutputValues { 10010.0f, 11022.0f, 12036.0f }; |