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
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