Merge "Camera: Allow maxDigitalZoom to be less than maxZoomRatio" into rvc-dev
diff --git a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
index 4dbac16..914a01a 100644
--- a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
@@ -568,8 +568,10 @@
}
Request request = std::move(maybeRequest.value());
+
+ constexpr uint32_t kInsufficientOutputIndex = 0;
if (testConfig.outputType == OutputType::INSUFFICIENT) {
- makeOutputInsufficientSize(/*outputIndex=*/0, &request);
+ makeOutputInsufficientSize(kInsufficientOutputIndex, &request);
}
OptionalTimeoutDuration loopTimeoutDuration;
@@ -745,7 +747,21 @@
}
ASSERT_EQ(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, executionStatus);
ASSERT_EQ(outputShapes.size(), testModel.main.outputIndexes.size());
- ASSERT_FALSE(outputShapes[0].isSufficient);
+ // Check that all returned output dimensions are at least as fully specified as the
+ // union of the information about the corresponding operand in the model and in the
+ // request. In this test, all model outputs have known rank with all dimensions
+ // unspecified, and no dimensional information is provided in the request.
+ for (uint32_t i = 0; i < outputShapes.size(); i++) {
+ ASSERT_EQ(outputShapes[i].isSufficient, i != kInsufficientOutputIndex);
+ const auto& actual = outputShapes[i].dimensions;
+ const auto& golden =
+ testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;
+ ASSERT_EQ(actual.size(), golden.size());
+ for (uint32_t j = 0; j < actual.size(); j++) {
+ if (actual[j] == 0) continue;
+ EXPECT_EQ(actual[j], golden[j]) << "index: " << j;
+ }
+ }
return;
case OutputType::MISSED_DEADLINE:
ASSERT_TRUE(executionStatus == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||