IVGCVSW-3116 Fix failing NN Driver Tests on Android Q
* Refactor Convolution2d Unit test for fp16Enabled
* Disable GpuAcc for Unit tests in Android Q
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I9613eb325841bdf7d25abf51259fe2f5d973c929
diff --git a/test/Convolution2D.hpp b/test/Convolution2D.hpp
index 3fda29b..c8d573d 100644
--- a/test/Convolution2D.hpp
+++ b/test/Convolution2D.hpp
@@ -20,6 +20,15 @@
namespace driverTestHelpers
{
+#define ARMNN_ANDROID_FP16_TEST(result, fp16Expectation, fp32Expectation, fp16Enabled) \
+ if (fp16Enabled) \
+ { \
+ BOOST_TEST((result == fp16Expectation || result == fp32Expectation), result << \
+ " does not match either " << fp16Expectation << "[fp16] or " << fp32Expectation << "[fp32]"); \
+ } else \
+ { \
+ BOOST_TEST(result == fp32Expectation); \
+ }
void SetModelFp16Flag(V1_0::Model& model, bool fp16Enabled);
@@ -33,7 +42,13 @@
using HalModel = typename HalPolicy::Model;
using HalOperationType = typename HalPolicy::OperationType;
- auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::GpuAcc, fp16Enabled));
+ armnn::Compute computeDevice = armnn::Compute::GpuAcc;
+
+#ifndef ARMCOMPUTECL_ENABLED
+ computeDevice = armnn::Compute::CpuRef;
+#endif
+
+ auto driver = std::make_unique<ArmnnDriver>(DriverOptions(computeDevice, fp16Enabled));
HalModel model = {};
uint32_t outSize = paddingScheme == android::nn::kPaddingSame ? 2 : 1;
@@ -97,26 +112,11 @@
switch (paddingScheme)
{
case android::nn::kPaddingValid:
- if (fp16Enabled)
- {
- BOOST_TEST(outdata[0] == 1022.f);
- }
- else
- {
- BOOST_TEST(outdata[0] == 1022.25f);
- }
+ ARMNN_ANDROID_FP16_TEST(outdata[0], 1022.f, 1022.25f, fp16Enabled)
break;
case android::nn::kPaddingSame:
- if (fp16Enabled)
- {
- BOOST_TEST(outdata[0] == 1022.f);
- BOOST_TEST(outdata[1] == 0.f);
- }
- else
- {
- BOOST_TEST(outdata[0] == 1022.25f);
- BOOST_TEST(outdata[1] == 0.f);
- }
+ ARMNN_ANDROID_FP16_TEST(outdata[0], 1022.f, 1022.25f, fp16Enabled)
+ BOOST_TEST(outdata[1] == 0.f);
break;
default:
BOOST_TEST(false);