More tests for graph validation.
- detect cycle (CycleTest)
- detect bad execution order (mutateExecutionOrderTest)
- detect lifetime inconsistent with whether operand is written (mutateOperandLifeTimeTest)
- detect lifetime inconsistent with Model inputIndexes/outputIndexes (mutateOperandInputOutputTest)
- detect incorrect number of consumers (mutateOperandNumberOfConsumersTest)
- detect operand written multiple times (mutateOperandAddWriterTest)
- detect operand never written (mutateOperationRemoveWriteTest)
Bug: 66478689
Test: VtsHalNeuralnetworksV1_*TargetTest
Change-Id: Id4ba19660bbd31a16f8a675f7b6437f4d779e8da
Merged-In: Id4ba19660bbd31a16f8a675f7b6437f4d779e8da
(cherry picked from commit af51663e9980265853750a51fa2f4bb1cd4e48c1)
diff --git a/neuralnetworks/1.3/vts/functional/Utils.cpp b/neuralnetworks/1.3/vts/functional/Utils.cpp
index 23e2af8..c460e11 100644
--- a/neuralnetworks/1.3/vts/functional/Utils.cpp
+++ b/neuralnetworks/1.3/vts/functional/Utils.cpp
@@ -17,11 +17,78 @@
#include "1.3/Utils.h"
#include <iostream>
+#include <numeric>
+#include "android-base/logging.h"
+#include "android/hardware/neuralnetworks/1.3/types.h"
-namespace android::hardware::neuralnetworks::V1_3 {
+namespace android::hardware::neuralnetworks {
+
+uint32_t sizeOfData(V1_3::OperandType type) {
+ switch (type) {
+ case V1_3::OperandType::FLOAT32:
+ case V1_3::OperandType::INT32:
+ case V1_3::OperandType::UINT32:
+ case V1_3::OperandType::TENSOR_FLOAT32:
+ case V1_3::OperandType::TENSOR_INT32:
+ return 4;
+ case V1_3::OperandType::TENSOR_QUANT16_SYMM:
+ case V1_3::OperandType::TENSOR_FLOAT16:
+ case V1_3::OperandType::FLOAT16:
+ case V1_3::OperandType::TENSOR_QUANT16_ASYMM:
+ return 2;
+ case V1_3::OperandType::TENSOR_QUANT8_ASYMM:
+ case V1_3::OperandType::BOOL:
+ case V1_3::OperandType::TENSOR_BOOL8:
+ case V1_3::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+ case V1_3::OperandType::TENSOR_QUANT8_SYMM:
+ case V1_3::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
+ return 1;
+ case V1_3::OperandType::SUBGRAPH:
+ return 0;
+ default:
+ CHECK(false) << "Invalid OperandType " << static_cast<uint32_t>(type);
+ return 0;
+ }
+}
+
+static bool isTensor(V1_3::OperandType type) {
+ switch (type) {
+ case V1_3::OperandType::FLOAT32:
+ case V1_3::OperandType::INT32:
+ case V1_3::OperandType::UINT32:
+ case V1_3::OperandType::FLOAT16:
+ case V1_3::OperandType::BOOL:
+ case V1_3::OperandType::SUBGRAPH:
+ return false;
+ case V1_3::OperandType::TENSOR_FLOAT32:
+ case V1_3::OperandType::TENSOR_INT32:
+ case V1_3::OperandType::TENSOR_QUANT16_SYMM:
+ case V1_3::OperandType::TENSOR_FLOAT16:
+ case V1_3::OperandType::TENSOR_QUANT16_ASYMM:
+ case V1_3::OperandType::TENSOR_QUANT8_ASYMM:
+ case V1_3::OperandType::TENSOR_BOOL8:
+ case V1_3::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
+ case V1_3::OperandType::TENSOR_QUANT8_SYMM:
+ case V1_3::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
+ return true;
+ default:
+ CHECK(false) << "Invalid OperandType " << static_cast<uint32_t>(type);
+ return false;
+ }
+}
+
+uint32_t sizeOfData(const V1_3::Operand& operand) {
+ const uint32_t dataSize = sizeOfData(operand.type);
+ if (isTensor(operand.type) && operand.dimensions.size() == 0) return 0;
+ return std::accumulate(operand.dimensions.begin(), operand.dimensions.end(), dataSize,
+ std::multiplies<>{});
+}
+
+namespace V1_3 {
::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus) {
return os << toString(errorStatus);
}
-} // namespace android::hardware::neuralnetworks::V1_3
+} // namespace V1_3
+} // namespace android::hardware::neuralnetworks