diff options
Diffstat (limited to 'src/armnn/backends/test/ArmComputeNeon.cpp')
| -rw-r--r-- | src/armnn/backends/test/ArmComputeNeon.cpp | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/src/armnn/backends/test/ArmComputeNeon.cpp b/src/armnn/backends/test/ArmComputeNeon.cpp index a81b7cdcd7..0a78b75e2e 100644 --- a/src/armnn/backends/test/ArmComputeNeon.cpp +++ b/src/armnn/backends/test/ArmComputeNeon.cpp @@ -88,6 +88,9 @@ ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dDepthMul1, DepthwiseConvoluti ARMNN_AUTO_TEST_CASE(DepthwiseConvolution2dDepthMul1Uint8, DepthwiseConvolution2dDepthMul1Uint8Test, true) ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dDepthMul1Uint8, DepthwiseConvolution2dDepthMul1Uint8Test, false) +ARMNN_AUTO_TEST_CASE(DepthwiseConvolution2dAsymmetric, DepthwiseConvolution2dAsymmetricTest, true) +ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dAsymmetric, DepthwiseConvolution2dAsymmetricTest, false) + namespace { @@ -134,6 +137,10 @@ BOOST_AUTO_TEST_CASE(DepthwiseConv2dUtils) // Supported shape 2x2 armnn::TensorInfo weightsInfo2x2({ 1, 1, 2, 2 }, armnn::DataType::Float32); BOOST_TEST(armnn::IsDepthwiseConvolutionSupportedNeon(inputInfo, MakeDepthwiseConv2dDesc(1, 1), weightsInfo2x2)); + + // Asymmetric padding + BOOST_TEST(armnn::IsDepthwiseConvolutionSupportedNeon(inputInfo, MakeDepthwiseConv2dDesc(1, 1, 1, 1, 2, 1, 2), + weightsInfo3x3)); } // Pooling @@ -235,6 +242,8 @@ ARMNN_AUTO_TEST_CASE(AddBroadcast1Element, AdditionBroadcast1ElementTest) // Mul ARMNN_AUTO_TEST_CASE(SimpleMultiplication, MultiplicationTest) +ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1Element, MultiplicationBroadcast1ElementTest) +ARMNN_AUTO_TEST_CASE(MultiplicationBroadcast1DVector, MultiplicationBroadcast1DVectorTest) // Batch Norm ARMNN_AUTO_TEST_CASE(BatchNorm, BatchNormTest) |