IVGCVSW-3282 Update getCapabilities_1_2

Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Change-Id: I65ae8669d8365bf372fbf0d1eceb48cbe06ef92a

2 files changed, 145 insertions, 0 deletions

diff --git a/test/1.2/Capabilities.cpp b/test/1.2/Capabilities.cpp
new file mode 100644
index 00000000..f4142866
--- /dev/null
+++ b/test/1.2/Capabilities.cpp
@@ -0,0 +1,144 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "../../1.2/ArmnnDriverImpl.hpp"
+
+#include "Utils.h"
+
+#include <boost/test/unit_test.hpp>
+#include <boost/core/ignore_unused.hpp>
+
+#include <sys/system_properties.h>
+
+#include <cfloat>
+
+using namespace std;
+
+struct CapabilitiesFixture
+{
+    CapabilitiesFixture()
+    {
+        const char* nullStr = "";
+
+        __system_property_set("Armnn.operandTypeTensorFloat32Performance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeTensorFloat32Performance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeFloat32Performance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeFloat32Performance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeTensorFloat16Performance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeTensorFloat16Performance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeFloat16Performance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeFloat16Performance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeTensorInt32Performance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeTensorInt32Performance.powerUsage", nullStr);
+        __system_property_set("Armnn.operandTypeInt32Performance.execTime", nullStr);
+        __system_property_set("Armnn.operandTypeInt32Performance.powerUsage", nullStr);
+    }
+
+    ~CapabilitiesFixture(){}
+};
+
+void CheckOperandType(const V1_2::Capabilities& capabilities, OperandType type, float execTime, float powerUsage)
+{
+    PerformanceInfo perfInfo = android::nn::lookup(capabilities.operandPerformance, type);
+    BOOST_ASSERT(perfInfo.execTime == execTime);
+    BOOST_ASSERT(perfInfo.powerUsage == powerUsage);
+}
+
+BOOST_AUTO_TEST_SUITE(CapabilitiesTests)
+
+BOOST_AUTO_TEST_CASE(PerformanceCapabilitiesWithRuntime)
+{
+    using namespace armnn_driver::hal_1_2;
+    using namespace android::nn;
+
+    auto getCapabilitiesFn = [&](ErrorStatus error, const V1_2::Capabilities& capabilities)
+        {
+            CheckOperandType(capabilities, OperandType::TENSOR_FLOAT32, 2.0f, 2.1f);
+            CheckOperandType(capabilities, OperandType::FLOAT32, 2.2f, 2.3f);
+            CheckOperandType(capabilities, OperandType::TENSOR_FLOAT16, 2.4f, 2.5f);
+            CheckOperandType(capabilities, OperandType::FLOAT16, 2.6f, 2.7f);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT8_ASYMM, 2.8f, 2.9f);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT16_SYMM, 3.0f, 3.1f);
+            CheckOperandType(capabilities, OperandType::TENSOR_INT32, 3.2f, 3.3f);
+            CheckOperandType(capabilities, OperandType::INT32, 3.4f, 3.5f);
+
+            // Unsupported operands take FLT_MAX value
+            CheckOperandType(capabilities, OperandType::UINT32, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::BOOL, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT8_SYMM, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT16_ASYMM, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_BOOL8, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::OEM, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_OEM_BYTE, FLT_MAX, FLT_MAX);
+
+            BOOST_ASSERT(error == ErrorStatus::NONE);
+        };
+
+    __system_property_set("Armnn.operandTypeTensorFloat32Performance.execTime", "2.0f");
+    __system_property_set("Armnn.operandTypeTensorFloat32Performance.powerUsage", "2.1f");
+    __system_property_set("Armnn.operandTypeFloat32Performance.execTime", "2.2f");
+    __system_property_set("Armnn.operandTypeFloat32Performance.powerUsage", "2.3f");
+    __system_property_set("Armnn.operandTypeTensorFloat16Performance.execTime", "2.4f");
+    __system_property_set("Armnn.operandTypeTensorFloat16Performance.powerUsage", "2.5f");
+    __system_property_set("Armnn.operandTypeFloat16Performance.execTime", "2.6f");
+    __system_property_set("Armnn.operandTypeFloat16Performance.powerUsage", "2.7f");
+    __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", "2.8f");
+    __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", "2.9f");
+    __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.execTime", "3.0f");
+    __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", "3.1f");
+    __system_property_set("Armnn.operandTypeTensorInt32Performance.execTime", "3.2f");
+    __system_property_set("Armnn.operandTypeTensorInt32Performance.powerUsage", "3.3f");
+    __system_property_set("Armnn.operandTypeInt32Performance.execTime", "3.4f");
+    __system_property_set("Armnn.operandTypeInt32Performance.powerUsage", "3.5f");
+
+    armnn::IRuntime::CreationOptions options;
+    armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
+
+    ArmnnDriverImpl::getCapabilities_1_2(runtime, getCapabilitiesFn);
+}
+
+BOOST_AUTO_TEST_CASE(PerformanceCapabilitiesUndefined)
+{
+    using namespace armnn_driver::hal_1_2;
+    using namespace android::nn;
+
+    float defaultValue = .1f;
+
+    auto getCapabilitiesFn = [&](ErrorStatus error, const V1_2::Capabilities& capabilities)
+        {
+            CheckOperandType(capabilities, OperandType::TENSOR_FLOAT32, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::FLOAT32, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::TENSOR_FLOAT16, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::FLOAT16, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT8_ASYMM, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT16_SYMM, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::TENSOR_INT32, defaultValue, defaultValue);
+            CheckOperandType(capabilities, OperandType::INT32, defaultValue, defaultValue);
+
+            // Unsupported operands take FLT_MAX value
+            CheckOperandType(capabilities, OperandType::UINT32, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::BOOL, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT8_SYMM, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT16_ASYMM, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_BOOL8, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::OEM, FLT_MAX, FLT_MAX);
+            CheckOperandType(capabilities, OperandType::TENSOR_OEM_BYTE, FLT_MAX, FLT_MAX);
+
+            BOOST_ASSERT(error == ErrorStatus::NONE);
+        };
+
+    armnn::IRuntime::CreationOptions options;
+    armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
+
+    ArmnnDriverImpl::getCapabilities_1_2(runtime, getCapabilitiesFn);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
\ No newline at end of file
diff --git a/test/Android.mk b/test/Android.mk
index a1725996..a078e0a3 100644
--- a/test/Android.mk
+++ b/test/Android.mk
@@ -256,6 +256,7 @@ LOCAL_SRC_FILES := \
         1.1/Mean.cpp \
         1.1/Transpose.cpp \
         1.2/Dilation.cpp \
+        1.2/Capabilities.cpp \
         Tests.cpp \
         UtilsTests.cpp \
         Concurrent.cpp \