Move NN HandleError from utils/common to 1.0/utils
This change is part of a larger chain of changes to remove HIDL and AIDL
libraries from neuralnetworks_utils_hal_common.
Bug: N/A
Test: mma
Change-Id: Iae9f692ffc72700294aae694c256e75c7e353fef
diff --git a/neuralnetworks/1.3/utils/src/Buffer.cpp b/neuralnetworks/1.3/utils/src/Buffer.cpp
index ada5265..34925ea 100644
--- a/neuralnetworks/1.3/utils/src/Buffer.cpp
+++ b/neuralnetworks/1.3/utils/src/Buffer.cpp
@@ -25,7 +25,7 @@
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <nnapi/hal/1.0/Conversions.h>
-#include <nnapi/hal/HandleError.h>
+#include <nnapi/hal/1.0/HandleError.h>
#include "Conversions.h"
#include "Utils.h"
@@ -66,7 +66,7 @@
const auto ret = kBuffer->copyTo(hidlDst);
const auto status = HANDLE_TRANSPORT_FAILURE(ret);
- HANDLE_HAL_STATUS(status) << "IBuffer::copyTo failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "IBuffer::copyTo failed with " << toString(status);
return {};
}
@@ -78,7 +78,7 @@
const auto ret = kBuffer->copyFrom(hidlSrc, hidlDimensions);
const auto status = HANDLE_TRANSPORT_FAILURE(ret);
- HANDLE_HAL_STATUS(status) << "IBuffer::copyFrom failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "IBuffer::copyFrom failed with " << toString(status);
return {};
}
diff --git a/neuralnetworks/1.3/utils/src/Callbacks.cpp b/neuralnetworks/1.3/utils/src/Callbacks.cpp
index b4fe487..f063862 100644
--- a/neuralnetworks/1.3/utils/src/Callbacks.cpp
+++ b/neuralnetworks/1.3/utils/src/Callbacks.cpp
@@ -30,13 +30,13 @@
#include <nnapi/Types.h>
#include <nnapi/hal/1.0/Callbacks.h>
#include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/1.0/HandleError.h>
#include <nnapi/hal/1.0/PreparedModel.h>
#include <nnapi/hal/1.0/ProtectCallback.h>
#include <nnapi/hal/1.2/Callbacks.h>
#include <nnapi/hal/1.2/Conversions.h>
#include <nnapi/hal/1.2/PreparedModel.h>
#include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
#include <nnapi/hal/TransferValue.h>
#include <utility>
@@ -71,13 +71,13 @@
nn::GeneralResult<std::vector<bool>> supportedOperationsCallback(
ErrorStatus status, const hidl_vec<bool>& supportedOperations) {
- HANDLE_HAL_STATUS(status) << "get supported operations failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "get supported operations failed with " << toString(status);
return supportedOperations;
}
nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
ErrorStatus status, const sp<IPreparedModel>& preparedModel) {
- HANDLE_HAL_STATUS(status) << "model preparation failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "model preparation failed with " << toString(status);
return NN_TRY(PreparedModel::create(preparedModel, /*executeSynchronously=*/true));
}
@@ -90,7 +90,7 @@
return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
<< "execution failed with " << toString(status);
}
- HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "execution failed with " << toString(status);
return convertExecutionGeneralResultsHelper(outputShapes, timing);
}
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index c885d60..a1d414c 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -28,7 +28,6 @@
#include <nnapi/hal/1.0/Conversions.h>
#include <nnapi/hal/1.2/Conversions.h>
#include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
#include <algorithm>
#include <chrono>
diff --git a/neuralnetworks/1.3/utils/src/Device.cpp b/neuralnetworks/1.3/utils/src/Device.cpp
index 462d557..a73ce82 100644
--- a/neuralnetworks/1.3/utils/src/Device.cpp
+++ b/neuralnetworks/1.3/utils/src/Device.cpp
@@ -33,13 +33,13 @@
#include <nnapi/OperandTypes.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
+#include <nnapi/hal/1.0/HandleError.h>
#include <nnapi/hal/1.0/ProtectCallback.h>
#include <nnapi/hal/1.1/Conversions.h>
#include <nnapi/hal/1.2/Conversions.h>
#include <nnapi/hal/1.2/Device.h>
#include <nnapi/hal/1.2/Utils.h>
#include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
#include <any>
#include <functional>
@@ -72,7 +72,7 @@
nn::GeneralResult<nn::Capabilities> capabilitiesCallback(ErrorStatus status,
const Capabilities& capabilities) {
- HANDLE_HAL_STATUS(status) << "getting capabilities failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "getting capabilities failed with " << toString(status);
return nn::convert(capabilities);
}
@@ -89,7 +89,7 @@
nn::GeneralResult<nn::SharedBuffer> allocationCallback(ErrorStatus status,
const sp<IBuffer>& buffer, uint32_t token) {
- HANDLE_HAL_STATUS(status) << "IDevice::allocate failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "IDevice::allocate failed with " << toString(status);
return Buffer::create(buffer, static_cast<nn::Request::MemoryDomainToken>(token));
}
@@ -208,7 +208,7 @@
kDevice->prepareModel_1_3(hidlModel, hidlPreference, hidlPriority, hidlDeadline,
hidlModelCache, hidlDataCache, hidlToken, cb);
const auto status = HANDLE_TRANSPORT_FAILURE(ret);
- HANDLE_HAL_STATUS(status) << "model preparation failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "model preparation failed with " << toString(status);
return cb->get();
}
@@ -227,7 +227,7 @@
const auto ret = kDevice->prepareModelFromCache_1_3(hidlDeadline, hidlModelCache, hidlDataCache,
hidlToken, cb);
const auto status = HANDLE_TRANSPORT_FAILURE(ret);
- HANDLE_HAL_STATUS(status) << "model preparation from cache failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "model preparation from cache failed with " << toString(status);
return cb->get();
}
diff --git a/neuralnetworks/1.3/utils/src/Execution.cpp b/neuralnetworks/1.3/utils/src/Execution.cpp
index 467d87d..0ec7f56 100644
--- a/neuralnetworks/1.3/utils/src/Execution.cpp
+++ b/neuralnetworks/1.3/utils/src/Execution.cpp
@@ -29,7 +29,6 @@
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
#include <memory>
#include <utility>
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index 792665e..2c81cb2 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -30,12 +30,12 @@
#include <nnapi/Result.h>
#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
+#include <nnapi/hal/1.0/HandleError.h>
#include <nnapi/hal/1.0/ProtectCallback.h>
#include <nnapi/hal/1.2/Conversions.h>
#include <nnapi/hal/1.2/ExecutionBurstController.h>
#include <nnapi/hal/1.2/ExecutionBurstUtils.h>
#include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/HandleError.h>
#include <memory>
#include <tuple>
@@ -50,14 +50,14 @@
nn::GeneralResult<std::pair<nn::Timing, nn::Timing>> convertFencedExecutionCallbackResults(
ErrorStatus status, const V1_2::Timing& timingLaunched, const V1_2::Timing& timingFenced) {
- HANDLE_HAL_STATUS(status) << "fenced execution callback info failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "fenced execution callback info failed with " << toString(status);
return std::make_pair(NN_TRY(nn::convert(timingLaunched)), NN_TRY(nn::convert(timingFenced)));
}
nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> fencedExecutionCallback(
ErrorStatus status, const hidl_handle& syncFence,
const sp<IFencedExecutionCallback>& callback) {
- HANDLE_HAL_STATUS(status) << "fenced execution failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "fenced execution failed with " << toString(status);
auto resultSyncFence = nn::SyncFence::createAsSignaled();
if (syncFence.getNativeHandle() != nullptr) {
@@ -127,7 +127,7 @@
kPreparedModel->execute_1_3(request, measure, deadline, loopTimeoutDuration, cb);
const auto status = HANDLE_TRANSPORT_FAILURE(ret);
if (status != ErrorStatus::OUTPUT_INSUFFICIENT_SIZE) {
- HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
+ HANDLE_STATUS_HIDL(status) << "execution failed with " << toString(status);
}
return cb->get();