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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2022-11-01 15:59:50 +0000 |
|---|---|---|
| committer | TeresaARM <teresa.charlinreyes@arm.com> | 2023-05-08 13:16:01 +0000 |
| commit | 1fe6c8170ae2fe90b53fb71b7570aec9dfe75c45 (patch) | |
| tree | bbb846edda64445c1e033b182e5a079c8d5728d8 /src/backends/neon/test | |
| parent | c52190a7e80cf238ba1d8630e5cc36ec7c7849e2 (diff) | |
| download | armnn-1fe6c8170ae2fe90b53fb71b7570aec9dfe75c45.tar.gz | |
IVGCVSW-7307 Add CpuAcc Batch MatMul Workload
* Call dedicated MatMul kernel in ACL
* Add int8 tests
* Add int8 to documentation
* Force tensors to be dynamic (nonConst) as per request of ACL
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I992ae9aae1174214607bf29305f21cdeaf3fdc1b
Diffstat (limited to 'src/backends/neon/test')
| -rw-r--r-- | src/backends/neon/test/NeonEndToEndTests.cpp | 5 | ||||
| -rw-r--r-- | src/backends/neon/test/NeonLayerTests.cpp | 16 |
2 files changed, 19 insertions, 2 deletions
diff --git a/src/backends/neon/test/NeonEndToEndTests.cpp b/src/backends/neon/test/NeonEndToEndTests.cpp index b930004215..fb05cc415f 100644 --- a/src/backends/neon/test/NeonEndToEndTests.cpp +++ b/src/backends/neon/test/NeonEndToEndTests.cpp @@ -148,6 +148,11 @@ TEST_CASE("NeonBatchMatMulEndToEndFloat32Test") BatchMatMulEndToEnd<armnn::DataType::Float32>(neonDefaultBackends); } +TEST_CASE("NeonBatchMatMulEndToEndInt8Test") +{ + BatchMatMulEndToEnd<armnn::DataType::QAsymmS8>(neonDefaultBackends); +} + TEST_CASE("NeonConcatEndToEndDim0Test") { ConcatDim0EndToEnd<armnn::DataType::Float32>(neonDefaultBackends); diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp index 4e6b6fa1d6..715060717f 100644 --- a/src/backends/neon/test/NeonLayerTests.cpp +++ b/src/backends/neon/test/NeonLayerTests.cpp @@ -76,20 +76,32 @@ ARMNN_AUTO_TEST_CASE_WITH_THF(BatchToSpaceNdNchwUint7, BatchToSpaceNdNchwTest7<D // Batch Mat Mul ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul2DSimpleFloat32, BatchMatMul2DSimpleTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul2DSimpleInt8, BatchMatMul2DSimpleTest<DataType::QAsymmS8>); ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul3DSimpleFloat32, BatchMatMul3DSimpleTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul3DSimpleInt8, BatchMatMul3DSimpleTest<DataType::QAsymmS8>); ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMulNCHWSimpleFloat32, BatchMatMulNCHWSimpleTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMulNCHWSimpleInt8, BatchMatMulNCHWSimpleTest<DataType::QAsymmS8>); ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul3DBatchFloat32, BatchMatMul3DBatchTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul3DBatchInt8, BatchMatMul3DBatchTest<DataType::QAsymmS8>); -ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul3DBroadcastFloat32, BatchMatMul3DBroadcastTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_BatchMatMul3DBroadcastFloat32, + BatchMatMul3DBroadcastTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_BatchMatMul3DBroadcastInt8, + BatchMatMul3DBroadcastTest<DataType::QAsymmS8>); -ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul3D2DBroadcastFloat32, BatchMatMul3D2DBroadcastTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_BatchMatMul3D2DBroadcastFloat32, + BatchMatMul3D2DBroadcastTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(UNSUPPORTED_BatchMatMul3D2DBroadcastInt8, + BatchMatMul3D2DBroadcastTest<DataType::QAsymmS8>); ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul2DTinyFloat32, BatchMatMul2DTinyTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul2DTinyInt8, BatchMatMul2DTinyTest<DataType::QAsymmS8>); ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul2DTranspSimpleFloat32, BatchMatMul2DTranspSimpleTest<DataType::Float32>); +ARMNN_AUTO_TEST_CASE_WITH_THF(BatchMatMul2DTranspSimpleInt8, BatchMatMul2DTranspSimpleTest<DataType::QAsymmS8>); // Convolution ARMNN_AUTO_TEST_CASE_WITH_THF(SimpleConvolution1d, Convolution1dTest, true) |