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| author | Matthew Jackson <matthew.jackson@arm.com> | 2019-09-09 14:31:21 +0100 |
|---|---|---|
| committer | Matthew Jackson <matthew.jackson@arm.com> | 2019-09-10 09:46:49 +0000 |
| commit | e69c399dcee1e75ebf9b2b12f72f3ad628c4e104 (patch) | |
| tree | caa3c3739723483b5db8c19872b6af13cac74db5 /src/backends/neon | |
| parent | 914e4db5a9083e922d89f133672fd44e92016e96 (diff) | |
| download | armnn-e69c399dcee1e75ebf9b2b12f72f3ad628c4e104.tar.gz | |
IVGCVSW-3824 Implement Float 16 Encoder and Decoder
* Implement Float 16 Encoder and Decoder
* Add Stack Float 16 layer and create workload tests
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: Ice4678226f4d22c06ebcc6db3052d42ce0c1bd67
Diffstat (limited to 'src/backends/neon')
| -rw-r--r-- | src/backends/neon/test/NeonCreateWorkloadTests.cpp | 7 | ||||
| -rw-r--r-- | src/backends/neon/test/NeonLayerTests.cpp | 12 |
2 files changed, 13 insertions, 6 deletions
diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp index e6e1574ae8..643ecd5a4f 100644 --- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp +++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp @@ -875,6 +875,13 @@ BOOST_AUTO_TEST_CASE(CreateStackFloat32Workload) NeonCreateStackWorkloadTest<armnn::DataType::Float32>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); } +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +BOOST_AUTO_TEST_CASE(CreateStackFloat16Workload) +{ + NeonCreateStackWorkloadTest<armnn::DataType::Float16>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); +} +#endif + BOOST_AUTO_TEST_CASE(CreateStackUint8Workload) { NeonCreateStackWorkloadTest<armnn::DataType::QuantisedAsymm8>({ 3, 4, 5 }, { 3, 4, 2, 5 }, 2, 2); diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp index 5a0c966a6d..d9f78e8a5f 100644 --- a/src/backends/neon/test/NeonLayerTests.cpp +++ b/src/backends/neon/test/NeonLayerTests.cpp @@ -730,12 +730,12 @@ ARMNN_AUTO_TEST_CASE(PreluFloat32, PreluTest<DataType::Float32>) ARMNN_AUTO_TEST_CASE(PreluUint8, PreluTest<DataType::QuantisedAsymm8>) // Stack -ARMNN_AUTO_TEST_CASE(Stack0Axis, Stack0AxisTest<armnn::DataType::Float32>) -ARMNN_AUTO_TEST_CASE(Stack4dOutput1Axis, Stack4dOutput1AxisTest<armnn::DataType::Float32>) -ARMNN_AUTO_TEST_CASE(Stack4dOutput2Axis, Stack4dOutput2AxisTest<armnn::DataType::Float32>) -ARMNN_AUTO_TEST_CASE(Stack4dOutput3Axis, Stack4dOutput3AxisTest<armnn::DataType::Float32>) -ARMNN_AUTO_TEST_CASE(Stack3dOutput1Axis3Input, Stack3dOutput1Axis3InputTest<armnn::DataType::Float32>) -ARMNN_AUTO_TEST_CASE(Stack5dOutput, Stack5dOutputTest<armnn::DataType::Float32>) +ARMNN_AUTO_TEST_CASE(Stack0Axis, StackAxis0Float32Test) +ARMNN_AUTO_TEST_CASE(StackOutput4DAxis1, StackOutput4DAxis1Float32Test) +ARMNN_AUTO_TEST_CASE(StackOutput4DAxis2, StackOutput4DAxis2Float32Test) +ARMNN_AUTO_TEST_CASE(StackOutput4DAxis3, StackOutput4DAxis3Float32Test) +ARMNN_AUTO_TEST_CASE(StackOutput3DInputs3, StackOutput3DInputs3Float32Test) +ARMNN_AUTO_TEST_CASE(StackOutput5D, StackOutput5DFloat32Test) // TransposeConvolution2d ARMNN_AUTO_TEST_CASE(SimpleTransposeConvolution2dFloatNchw, |