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Fix test that broke when number of ADD inputs increased from 2 to 3.

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Test: vts: nn32, nn64

Bug: 63905942

Change-Id: Ie4b237d0c16247d7774a13384a59453da94c5d91
This commit is contained in:
David Gross
2017-08-25 16:25:01 -07:00
parent ed827b8210
commit 8454fcd4dc
1 changed files with 21 additions and 6 deletions
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27
neuralnetworks/1.0/vts/functional/VtsHalNeuralnetworksV1_0TargetTest.cpp
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@@ -89,6 +89,7 @@ Model createTestModel() {
const uint32_t operand1 = 0;
const uint32_t operand2 = 1;
const uint32_t operand3 = 2;
const uint32_t operand4 = 3;
const std::vector<Operand> operands = {
{
@@ -111,6 +112,16 @@ Model createTestModel() {
.offset = 0,
.length = size},
},
{
.type = OperandType::INT32,
.dimensions = {},
.numberOfConsumers = 1,
.scale = 0.0f,
.zeroPoint = 0,
.location = {.poolIndex = static_cast<uint32_t>(LocationValues::LOCATION_SAME_BLOCK),
.offset = size,
.length = sizeof(int32_t)},
},
{
.type = OperandType::TENSOR_FLOAT32,
.dimensions = {1, 2, 2, 1},
@@ -125,15 +136,19 @@ Model createTestModel() {
const std::vector<Operation> operations = {{
.opTuple = {OperationType::ADD, OperandType::TENSOR_FLOAT32},
.inputs = {operand1, operand2},
.outputs = {operand3},
.inputs = {operand1, operand2, operand3},
.outputs = {operand4},
}};
const std::vector<uint32_t> inputIndexes = {operand1};
const std::vector<uint32_t> outputIndexes = {operand3};
const std::vector<uint8_t> operandValues(reinterpret_cast<const uint8_t*>(operand2Data.data()),
reinterpret_cast<const uint8_t*>(operand2Data.data()) +
operand2Data.size() * sizeof(float));
const std::vector<uint32_t> outputIndexes = {operand4};
std::vector<uint8_t> operandValues(
reinterpret_cast<const uint8_t*>(operand2Data.data()),
reinterpret_cast<const uint8_t*>(operand2Data.data()) + size);
int32_t activation[1] = {0};
operandValues.insert(operandValues.end(), reinterpret_cast<const uint8_t*>(&activation[0]),
reinterpret_cast<const uint8_t*>(&activation[1]));
const std::vector<hidl_memory> pools = {};
return {