Merge "power/stats: Split channel name validation test"
diff --git a/bluetooth/1.0/vts/functional/VtsHalBluetoothV1_0TargetTest.cpp b/bluetooth/1.0/vts/functional/VtsHalBluetoothV1_0TargetTest.cpp
index 0328af1..fd82f49 100644
--- a/bluetooth/1.0/vts/functional/VtsHalBluetoothV1_0TargetTest.cpp
+++ b/bluetooth/1.0/vts/functional/VtsHalBluetoothV1_0TargetTest.cpp
@@ -179,7 +179,7 @@
bluetooth_cb->SetWaitTimeout(kCallbackNameScoEventReceived,
WAIT_FOR_SCO_DATA_TIMEOUT);
- EXPECT_TRUE(
+ ASSERT_TRUE(
bluetooth_cb->WaitForCallback(kCallbackNameInitializationComplete)
.no_timeout);
@@ -289,7 +289,7 @@
void BluetoothHidlTest::handle_no_ops() {
while (event_queue.size() > 0) {
hidl_vec<uint8_t> event = event_queue.front();
- EXPECT_GE(event.size(),
+ ASSERT_GE(event.size(),
static_cast<size_t>(EVENT_COMMAND_COMPLETE_STATUS_BYTE));
bool event_is_no_op =
(event[EVENT_CODE_BYTE] == EVENT_COMMAND_COMPLETE) &&
@@ -327,7 +327,7 @@
bluetooth_cb->WaitForCallback(kCallbackNameHciEventReceived).no_timeout;
EXPECT_TRUE(no_timeout || !timeout_is_error);
if (no_timeout && timeout_is_error) {
- EXPECT_LT(static_cast<size_t>(0), event_queue.size());
+ ASSERT_LT(static_cast<size_t>(0), event_queue.size());
}
if (event_queue.size() == 0) {
// WaitForCallback timed out.
@@ -343,12 +343,12 @@
hidl_vec<uint8_t> event = event_queue.front();
event_queue.pop();
- EXPECT_GT(event.size(),
+ ASSERT_GT(event.size(),
static_cast<size_t>(EVENT_COMMAND_COMPLETE_STATUS_BYTE));
- EXPECT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
- EXPECT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
- EXPECT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
- EXPECT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
+ ASSERT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
+ ASSERT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
+ ASSERT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
+ ASSERT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
}
// Send the command to read the controller's buffer sizes.
@@ -362,10 +362,10 @@
hidl_vec<uint8_t> event = event_queue.front();
event_queue.pop();
- EXPECT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
- EXPECT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
- EXPECT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
- EXPECT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
+ ASSERT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
+ ASSERT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
+ ASSERT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
+ ASSERT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
max_acl_data_packet_length =
event[EVENT_COMMAND_COMPLETE_STATUS_BYTE + 1] +
@@ -415,10 +415,10 @@
size_t compare_length =
(cmd.size() > static_cast<size_t>(0xff) ? static_cast<size_t>(0xff)
: cmd.size());
- EXPECT_GT(event.size(), compare_length + EVENT_FIRST_PAYLOAD_BYTE - 1);
+ ASSERT_GT(event.size(), compare_length + EVENT_FIRST_PAYLOAD_BYTE - 1);
- EXPECT_EQ(EVENT_LOOPBACK_COMMAND, event[EVENT_CODE_BYTE]);
- EXPECT_EQ(compare_length, event[EVENT_LENGTH_BYTE]);
+ ASSERT_EQ(EVENT_LOOPBACK_COMMAND, event[EVENT_CODE_BYTE]);
+ ASSERT_EQ(compare_length, event[EVENT_LENGTH_BYTE]);
// Don't compare past the end of the event.
if (compare_length + EVENT_FIRST_PAYLOAD_BYTE > event.size()) {
@@ -455,12 +455,12 @@
bluetooth->sendScoData(sco_vector);
// Check the loopback of the SCO packet
- EXPECT_TRUE(bluetooth_cb->WaitForCallback(kCallbackNameScoEventReceived)
+ ASSERT_TRUE(bluetooth_cb->WaitForCallback(kCallbackNameScoEventReceived)
.no_timeout);
hidl_vec<uint8_t> sco_loopback = sco_queue.front();
sco_queue.pop();
- EXPECT_EQ(sco_packet.size(), sco_loopback.size());
+ ASSERT_EQ(sco_packet.size(), sco_loopback.size());
size_t successful_bytes = 0;
for (size_t i = 0; i < sco_packet.size(); i++) {
@@ -474,7 +474,7 @@
break;
}
}
- EXPECT_EQ(sco_packet.size(), successful_bytes + 1);
+ ASSERT_EQ(sco_packet.size(), successful_bytes + 1);
}
logger.setTotalBytes(num_packets * size * 2);
}
@@ -500,26 +500,15 @@
bluetooth->sendAclData(acl_vector);
// Check the loopback of the ACL packet
- EXPECT_TRUE(bluetooth_cb->WaitForCallback(kCallbackNameAclEventReceived)
+ ASSERT_TRUE(bluetooth_cb->WaitForCallback(kCallbackNameAclEventReceived)
.no_timeout);
hidl_vec<uint8_t> acl_loopback = acl_queue.front();
acl_queue.pop();
EXPECT_EQ(acl_packet.size(), acl_loopback.size());
- size_t successful_bytes = 0;
-
- for (size_t i = 0; i < acl_packet.size(); i++) {
- if (acl_packet[i] == acl_loopback[i]) {
- successful_bytes = i;
- } else {
- ALOGE("Miscompare at %d (expected %x, got %x)", static_cast<int>(i),
- acl_packet[i], acl_loopback[i]);
- ALOGE("At %d (expected %x, got %x)", static_cast<int>(i + 1),
- acl_packet[i + 1], acl_loopback[i + 1]);
- break;
- }
+ for (size_t i = 0; i < acl_packet.size() && i < acl_loopback.size(); i++) {
+ EXPECT_EQ(acl_packet[i], acl_loopback[i]) << " at byte number " << i;
}
- EXPECT_EQ(acl_packet.size(), successful_bytes + 1);
}
logger.setTotalBytes(num_packets * size * 2);
}
@@ -560,22 +549,22 @@
wait_for_event(false);
if (event_queue.size() == 0) {
// Fail if there was no event received or no connections completed.
- EXPECT_TRUE(command_complete_received);
- EXPECT_LT(0, connection_event_count);
+ ASSERT_TRUE(command_complete_received);
+ ASSERT_LT(0, connection_event_count);
return;
}
hidl_vec<uint8_t> event = event_queue.front();
event_queue.pop();
- EXPECT_GT(event.size(),
+ ASSERT_GT(event.size(),
static_cast<size_t>(EVENT_COMMAND_COMPLETE_STATUS_BYTE));
if (event[EVENT_CODE_BYTE] == EVENT_CONNECTION_COMPLETE) {
- EXPECT_GT(event.size(),
+ ASSERT_GT(event.size(),
static_cast<size_t>(EVENT_CONNECTION_COMPLETE_TYPE));
- EXPECT_EQ(event[EVENT_LENGTH_BYTE],
+ ASSERT_EQ(event[EVENT_LENGTH_BYTE],
EVENT_CONNECTION_COMPLETE_PARAM_LENGTH);
uint8_t connection_type = event[EVENT_CONNECTION_COMPLETE_TYPE];
- EXPECT_TRUE(connection_type == EVENT_CONNECTION_COMPLETE_TYPE_SCO ||
+ ASSERT_TRUE(connection_type == EVENT_CONNECTION_COMPLETE_TYPE_SCO ||
connection_type == EVENT_CONNECTION_COMPLETE_TYPE_ACL);
// Save handles
@@ -590,10 +579,10 @@
event[EVENT_CONNECTION_COMPLETE_TYPE], handle);
connection_event_count++;
} else {
- EXPECT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
- EXPECT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
- EXPECT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
- EXPECT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
+ ASSERT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
+ ASSERT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
+ ASSERT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
+ ASSERT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
command_complete_received = true;
}
}
@@ -620,15 +609,15 @@
hidl_vec<uint8_t> event = event_queue.front();
event_queue.pop();
- EXPECT_GT(event.size(), static_cast<size_t>(EVENT_LOCAL_LMP_VERSION_BYTE));
+ ASSERT_GT(event.size(), static_cast<size_t>(EVENT_LOCAL_LMP_VERSION_BYTE));
- EXPECT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
- EXPECT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
- EXPECT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
- EXPECT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
+ ASSERT_EQ(EVENT_COMMAND_COMPLETE, event[EVENT_CODE_BYTE]);
+ ASSERT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
+ ASSERT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
+ ASSERT_EQ(HCI_STATUS_SUCCESS, event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
- EXPECT_LE(HCI_MINIMUM_HCI_VERSION, event[EVENT_LOCAL_HCI_VERSION_BYTE]);
- EXPECT_LE(HCI_MINIMUM_LMP_VERSION, event[EVENT_LOCAL_LMP_VERSION_BYTE]);
+ ASSERT_LE(HCI_MINIMUM_HCI_VERSION, event[EVENT_LOCAL_HCI_VERSION_BYTE]);
+ ASSERT_LE(HCI_MINIMUM_LMP_VERSION, event[EVENT_LOCAL_LMP_VERSION_BYTE]);
}
// Send an unknown HCI command and wait for the error message.
@@ -642,18 +631,18 @@
hidl_vec<uint8_t> event = event_queue.front();
event_queue.pop();
- EXPECT_GT(event.size(),
+ ASSERT_GT(event.size(),
static_cast<size_t>(EVENT_COMMAND_COMPLETE_STATUS_BYTE));
if (event[EVENT_CODE_BYTE] == EVENT_COMMAND_COMPLETE) {
- EXPECT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
- EXPECT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
- EXPECT_EQ(HCI_STATUS_UNKNOWN_HCI_COMMAND,
+ ASSERT_EQ(cmd[0], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE]);
+ ASSERT_EQ(cmd[1], event[EVENT_COMMAND_COMPLETE_OPCODE_LSBYTE + 1]);
+ ASSERT_EQ(HCI_STATUS_UNKNOWN_HCI_COMMAND,
event[EVENT_COMMAND_COMPLETE_STATUS_BYTE]);
} else {
- EXPECT_EQ(EVENT_COMMAND_STATUS, event[EVENT_CODE_BYTE]);
- EXPECT_EQ(cmd[0], event[EVENT_COMMAND_STATUS_OPCODE_LSBYTE]);
- EXPECT_EQ(cmd[1], event[EVENT_COMMAND_STATUS_OPCODE_LSBYTE + 1]);
- EXPECT_EQ(HCI_STATUS_UNKNOWN_HCI_COMMAND,
+ ASSERT_EQ(EVENT_COMMAND_STATUS, event[EVENT_CODE_BYTE]);
+ ASSERT_EQ(cmd[0], event[EVENT_COMMAND_STATUS_OPCODE_LSBYTE]);
+ ASSERT_EQ(cmd[1], event[EVENT_COMMAND_STATUS_OPCODE_LSBYTE + 1]);
+ ASSERT_EQ(HCI_STATUS_UNKNOWN_HCI_COMMAND,
event[EVENT_COMMAND_STATUS_STATUS_BYTE]);
}
}
@@ -678,7 +667,7 @@
// This should work, but breaks on some current platforms. Figure out how to
// grandfather older devices but test new ones.
if (0 && sco_connection_handles.size() > 0) {
- EXPECT_LT(0, max_sco_data_packet_length);
+ ASSERT_LT(0, max_sco_data_packet_length);
sendAndCheckSCO(1, max_sco_data_packet_length, sco_connection_handles[0]);
int sco_packets_sent = 1;
int completed_packets =
@@ -690,7 +679,7 @@
}
if (acl_connection_handles.size() > 0) {
- EXPECT_LT(0, max_acl_data_packet_length);
+ ASSERT_LT(0, max_acl_data_packet_length);
sendAndCheckACL(1, max_acl_data_packet_length, acl_connection_handles[0]);
int acl_packets_sent = 1;
int completed_packets =
@@ -715,7 +704,7 @@
// This should work, but breaks on some current platforms. Figure out how to
// grandfather older devices but test new ones.
if (0 && sco_connection_handles.size() > 0) {
- EXPECT_LT(0, max_sco_data_packet_length);
+ ASSERT_LT(0, max_sco_data_packet_length);
sendAndCheckSCO(NUM_SCO_PACKETS_BANDWIDTH, max_sco_data_packet_length,
sco_connection_handles[0]);
int sco_packets_sent = NUM_SCO_PACKETS_BANDWIDTH;
@@ -728,7 +717,7 @@
}
if (acl_connection_handles.size() > 0) {
- EXPECT_LT(0, max_acl_data_packet_length);
+ ASSERT_LT(0, max_acl_data_packet_length);
sendAndCheckACL(NUM_ACL_PACKETS_BANDWIDTH, max_acl_data_packet_length,
acl_connection_handles[0]);
int acl_packets_sent = NUM_ACL_PACKETS_BANDWIDTH;
diff --git a/current.txt b/current.txt
index eb5cf00..454d43e 100644
--- a/current.txt
+++ b/current.txt
@@ -778,6 +778,8 @@
f729ee6a5f136b25d79ea6895d24700fce413df555baaecf2c39e4440d15d043 android.hardware.neuralnetworks@1.0::types
a84f8dac7a9b75de1cc2936a9b429b9b62b32a31ea88ca52c29f98f5ddc0fa95 android.hardware.neuralnetworks@1.2::types
cd331b92312d16ab89f475c39296abbf539efc4114a8c5c2b136ad99b904ef33 android.hardware.neuralnetworks@1.3::types
+c3fec5bd470984402997f78a74b6511efc4063b270f2bd9ee7b78f48b683a1bb android.hardware.neuralnetworks@1.3::IDevice
+0fdfad62c2ec33b52e6687004e5a1971c02d10b93ee4d26df5ccff7ce032494a android.hardware.neuralnetworks@1.3::IPreparedModel
e8c86c69c438da8d1549856c1bb3e2d1b8da52722f8235ff49a30f2cce91742c android.hardware.soundtrigger@2.1::ISoundTriggerHwCallback
b9fbb6e2e061ed0960939d48b785e9700210add1f13ed32ecd688d0f1ca20ef7 android.hardware.renderscript@1.0::types
0f53d70e1eadf8d987766db4bf6ae2048004682168f4cab118da576787def3fa android.hardware.radio@1.0::types
diff --git a/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h b/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h
index 8d6e74a..ea40971 100644
--- a/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h
+++ b/keymaster/4.0/support/include/keymasterV4_0/keymaster_tags.h
@@ -117,6 +117,9 @@
DECLARE_TYPED_TAG(ATTESTATION_ID_PRODUCT);
DECLARE_TYPED_TAG(ATTESTATION_ID_MANUFACTURER);
DECLARE_TYPED_TAG(ATTESTATION_ID_MODEL);
+DECLARE_TYPED_TAG(ATTESTATION_ID_SERIAL);
+DECLARE_TYPED_TAG(ATTESTATION_ID_IMEI);
+DECLARE_TYPED_TAG(ATTESTATION_ID_MEID);
DECLARE_TYPED_TAG(AUTH_TIMEOUT);
DECLARE_TYPED_TAG(BLOB_USAGE_REQUIREMENTS);
DECLARE_TYPED_TAG(BLOCK_MODE);
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
index 8329303..7849ca7 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
@@ -44,7 +44,9 @@
OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
- const nn::Request& request, nn::MeasureTiming measure) const override;
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const override;
private:
const nn::SharedPreparedModel kPreparedModel;
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
index b695f48..1baabdf 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Utils.h
@@ -22,10 +22,15 @@
#include <android-base/logging.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
+#include <nnapi/hal/HandleError.h>
namespace android::hardware::neuralnetworks::V1_0::utils {
+constexpr auto kVersion = nn::Version::ANDROID_OC_MR1;
+
template <typename Type>
nn::Result<void> validate(const Type& halObject) {
const auto maybeCanonical = nn::convert(halObject);
@@ -45,6 +50,15 @@
}
template <typename Type>
+nn::GeneralResult<void> compliantVersion(const Type& canonical) {
+ const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(canonical)));
+ if (version > kVersion) {
+ return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+ }
+ return {};
+}
+
+template <typename Type>
auto convertFromNonCanonical(const Type& nonCanonicalObject)
-> decltype(convert(nn::convert(nonCanonicalObject).value())) {
return convert(NN_TRY(nn::convert(nonCanonicalObject)));
diff --git a/neuralnetworks/1.0/utils/src/Burst.cpp b/neuralnetworks/1.0/utils/src/Burst.cpp
index 971ad08..e3a9757 100644
--- a/neuralnetworks/1.0/utils/src/Burst.cpp
+++ b/neuralnetworks/1.0/utils/src/Burst.cpp
@@ -20,6 +20,7 @@
#include <nnapi/IBurst.h>
#include <nnapi/IPreparedModel.h>
#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
#include <memory>
@@ -48,8 +49,10 @@
}
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
- const nn::Request& request, nn::MeasureTiming measure) const {
- return kPreparedModel->execute(request, measure, {}, {});
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const {
+ return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
}
} // namespace android::hardware::neuralnetworks::V1_0::utils
diff --git a/neuralnetworks/1.0/utils/src/Conversions.cpp b/neuralnetworks/1.0/utils/src/Conversions.cpp
index 700b050..c0498eb 100644
--- a/neuralnetworks/1.0/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.0/utils/src/Conversions.cpp
@@ -35,6 +35,8 @@
#include <utility>
#include <variant>
+#include "Utils.h"
+
namespace {
template <typename Type>
@@ -42,8 +44,6 @@
return static_cast<std::underlying_type_t<Type>>(value);
}
-constexpr auto kVersion = android::nn::Version::ANDROID_OC_MR1;
-
} // namespace
namespace android::nn {
@@ -53,13 +53,13 @@
using hardware::hidl_vec;
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const hidl_vec<Type>& arguments) {
- std::vector<unvalidatedConvertOutput<Type>> canonical;
+ std::vector<UnvalidatedConvertOutput<Type>> canonical;
canonical.reserve(arguments.size());
for (const auto& argument : arguments) {
canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
@@ -68,16 +68,9 @@
}
template <typename Type>
-decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& halObject) {
auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
- const auto maybeVersion = validate(canonical);
- if (!maybeVersion.has_value()) {
- return error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+ NN_TRY(hal::V1_0::utils::compliantVersion(canonical));
return canonical;
}
@@ -248,13 +241,13 @@
namespace {
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+nn::GeneralResult<hidl_vec<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const std::vector<Type>& arguments) {
- hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+ hidl_vec<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
halObject[i] = NN_TRY(utils::unvalidatedConvert(arguments[i]));
}
@@ -262,15 +255,8 @@
}
template <typename Type>
-decltype(utils::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
- const auto maybeVersion = nn::validate(canonical);
- if (!maybeVersion.has_value()) {
- return nn::error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
+ NN_TRY(compliantVersion(canonical));
return utils::unvalidatedConvert(canonical);
}
diff --git a/neuralnetworks/1.0/utils/test/MockDevice.h b/neuralnetworks/1.0/utils/test/MockDevice.h
index 0fb59e3..7c399ec 100644
--- a/neuralnetworks/1.0/utils/test/MockDevice.h
+++ b/neuralnetworks/1.0/utils/test/MockDevice.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_DEVICE_H
#include <android/hardware/neuralnetworks/1.0/IDevice.h>
#include <gmock/gmock.h>
@@ -83,4 +83,4 @@
} // namespace android::hardware::neuralnetworks::V1_0::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_DEVICE
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/1.0/utils/test/MockPreparedModel.h b/neuralnetworks/1.0/utils/test/MockPreparedModel.h
index 7a48a83..03f1a4b 100644
--- a/neuralnetworks/1.0/utils/test/MockPreparedModel.h
+++ b/neuralnetworks/1.0/utils/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_PREPARED_MODEL_H
#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
#include <gmock/gmock.h>
@@ -82,4 +82,4 @@
} // namespace android::hardware::neuralnetworks::V1_0::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_PREPARED_MODEL
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_TEST_MOCK_PREPARED_MODEL_H
diff --git a/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
index a5cbc72..f19ed77 100644
--- a/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
@@ -224,7 +224,19 @@
EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
}
-// TODO: test burst execution if/when it is added to nn::IPreparedModel.
+TEST(PreparedModelTest, configureExecutionBurst) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_TRUE(result.has_value())
+ << "Failed with " << result.error().code << ": " << result.error().message;
+ EXPECT_NE(result.value(), nullptr);
+}
TEST(PreparedModelTest, getUnderlyingResource) {
// setup test
diff --git a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
index 09597a3..a8cf8cf 100644
--- a/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
+++ b/neuralnetworks/1.1/utils/include/nnapi/hal/1.1/Utils.h
@@ -22,12 +22,16 @@
#include <android-base/logging.h>
#include <android/hardware/neuralnetworks/1.1/types.h>
#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
#include <nnapi/hal/1.0/Conversions.h>
+#include <nnapi/hal/HandleError.h>
namespace android::hardware::neuralnetworks::V1_1::utils {
constexpr auto kDefaultExecutionPreference = ExecutionPreference::FAST_SINGLE_ANSWER;
+constexpr auto kVersion = nn::Version::ANDROID_P;
template <typename Type>
nn::Result<void> validate(const Type& halObject) {
@@ -48,6 +52,15 @@
}
template <typename Type>
+nn::GeneralResult<void> compliantVersion(const Type& canonical) {
+ const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(canonical)));
+ if (version > kVersion) {
+ return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+ }
+ return {};
+}
+
+template <typename Type>
auto convertFromNonCanonical(const Type& nonCanonicalObject)
-> decltype(convert(nn::convert(nonCanonicalObject).value())) {
return convert(NN_TRY(nn::convert(nonCanonicalObject)));
diff --git a/neuralnetworks/1.1/utils/src/Conversions.cpp b/neuralnetworks/1.1/utils/src/Conversions.cpp
index d07f7d0..467ceb3 100644
--- a/neuralnetworks/1.1/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.1/utils/src/Conversions.cpp
@@ -35,11 +35,7 @@
#include <type_traits>
#include <utility>
-namespace {
-
-constexpr auto kVersion = android::nn::Version::ANDROID_P;
-
-} // namespace
+#include "Utils.h"
namespace android::nn {
namespace {
@@ -47,13 +43,13 @@
using hardware::hidl_vec;
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const hidl_vec<Type>& arguments) {
- std::vector<unvalidatedConvertOutput<Type>> canonical;
+ std::vector<UnvalidatedConvertOutput<Type>> canonical;
canonical.reserve(arguments.size());
for (const auto& argument : arguments) {
canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
@@ -62,16 +58,9 @@
}
template <typename Type>
-decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& halObject) {
auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
- const auto maybeVersion = validate(canonical);
- if (!maybeVersion.has_value()) {
- return error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+ NN_TRY(hal::V1_1::utils::compliantVersion(canonical));
return canonical;
}
@@ -180,13 +169,13 @@
}
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
+nn::GeneralResult<hidl_vec<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const std::vector<Type>& arguments) {
- hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+ hidl_vec<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
}
@@ -194,16 +183,9 @@
}
template <typename Type>
-decltype(utils::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
- const auto maybeVersion = nn::validate(canonical);
- if (!maybeVersion.has_value()) {
- return nn::error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
- return utils::unvalidatedConvert(canonical);
+nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
+ NN_TRY(compliantVersion(canonical));
+ return unvalidatedConvert(canonical);
}
} // anonymous namespace
diff --git a/neuralnetworks/1.1/utils/test/MockDevice.h b/neuralnetworks/1.1/utils/test/MockDevice.h
index 3b92e58..db7392d 100644
--- a/neuralnetworks/1.1/utils/test/MockDevice.h
+++ b/neuralnetworks/1.1/utils/test/MockDevice.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_DEVICE_H
#include <android/hardware/neuralnetworks/1.1/IDevice.h>
#include <gmock/gmock.h>
@@ -92,4 +92,4 @@
} // namespace android::hardware::neuralnetworks::V1_1::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_DEVICE
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/1.1/utils/test/MockPreparedModel.h b/neuralnetworks/1.1/utils/test/MockPreparedModel.h
index aba731e..257397d 100644
--- a/neuralnetworks/1.1/utils/test/MockPreparedModel.h
+++ b/neuralnetworks/1.1/utils/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_PREPARED_MODEL_H
#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
#include <gmock/gmock.h>
@@ -41,4 +41,4 @@
} // namespace android::hardware::neuralnetworks::V1_0::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_PREPARED_MODEL
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_1_UTILS_TEST_MOCK_PREPARED_MODEL_H
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
index 6b6fc71..9669d8c0 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/ExecutionBurstController.h
@@ -57,7 +57,8 @@
public:
using FallbackFunction =
std::function<nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>(
- const nn::Request&, nn::MeasureTiming)>;
+ const nn::Request&, nn::MeasureTiming, const nn::OptionalTimePoint&,
+ const nn::OptionalDuration&)>;
/**
* NN runtime memory cache.
@@ -168,7 +169,9 @@
// See IBurst::execute for information on this method.
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
- const nn::Request& request, nn::MeasureTiming measure) const override;
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const override;
private:
mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
index 3233114..09691b6 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Utils.h
@@ -22,19 +22,25 @@
#include <android-base/logging.h>
#include <android/hardware/neuralnetworks/1.2/types.h>
#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
#include <nnapi/hal/1.0/Conversions.h>
#include <nnapi/hal/1.1/Conversions.h>
+#include <nnapi/hal/1.1/Utils.h>
+#include <nnapi/hal/HandleError.h>
#include <limits>
namespace android::hardware::neuralnetworks::V1_2::utils {
using CacheToken = hidl_array<uint8_t, static_cast<size_t>(Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
+using V1_1::utils::kDefaultExecutionPreference;
constexpr auto kDefaultMesaureTiming = MeasureTiming::NO;
constexpr auto kNoTiming = Timing{.timeOnDevice = std::numeric_limits<uint64_t>::max(),
.timeInDriver = std::numeric_limits<uint64_t>::max()};
+constexpr auto kVersion = nn::Version::ANDROID_Q;
template <typename Type>
nn::Result<void> validate(const Type& halObject) {
@@ -55,6 +61,15 @@
}
template <typename Type>
+nn::GeneralResult<void> compliantVersion(const Type& canonical) {
+ const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(canonical)));
+ if (version > kVersion) {
+ return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+ }
+ return {};
+}
+
+template <typename Type>
auto convertFromNonCanonical(const Type& nonCanonicalObject)
-> decltype(convert(nn::convert(nonCanonicalObject).value())) {
return convert(NN_TRY(nn::convert(nonCanonicalObject)));
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index 2c45583..29945b7 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -37,6 +37,8 @@
#include <type_traits>
#include <utility>
+#include "Utils.h"
+
namespace {
template <typename Type>
@@ -45,50 +47,23 @@
}
using HalDuration = std::chrono::duration<uint64_t, std::micro>;
-constexpr auto kVersion = android::nn::Version::ANDROID_Q;
-constexpr uint64_t kNoTiming = std::numeric_limits<uint64_t>::max();
} // namespace
namespace android::nn {
namespace {
-constexpr bool validOperandType(OperandType operandType) {
- switch (operandType) {
- case OperandType::FLOAT32:
- case OperandType::INT32:
- case OperandType::UINT32:
- case OperandType::TENSOR_FLOAT32:
- case OperandType::TENSOR_INT32:
- case OperandType::TENSOR_QUANT8_ASYMM:
- case OperandType::BOOL:
- case OperandType::TENSOR_QUANT16_SYMM:
- case OperandType::TENSOR_FLOAT16:
- case OperandType::TENSOR_BOOL8:
- case OperandType::FLOAT16:
- case OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
- case OperandType::TENSOR_QUANT16_ASYMM:
- case OperandType::TENSOR_QUANT8_SYMM:
- case OperandType::OEM:
- case OperandType::TENSOR_OEM_BYTE:
- return true;
- default:
- break;
- }
- return isExtension(operandType);
-}
-
using hardware::hidl_handle;
using hardware::hidl_vec;
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const hidl_vec<Type>& arguments) {
- std::vector<unvalidatedConvertOutput<Type>> canonical;
+ std::vector<UnvalidatedConvertOutput<Type>> canonical;
canonical.reserve(arguments.size());
for (const auto& argument : arguments) {
canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
@@ -97,29 +72,16 @@
}
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
- const hidl_vec<Type>& arguments) {
- return unvalidatedConvertVec(arguments);
-}
-
-template <typename Type>
-decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& halObject) {
auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
- const auto maybeVersion = validate(canonical);
- if (!maybeVersion.has_value()) {
- return error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+ NN_TRY(hal::V1_2::utils::compliantVersion(canonical));
return canonical;
}
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> validatedConvert(
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> validatedConvert(
const hidl_vec<Type>& arguments) {
- std::vector<unvalidatedConvertOutput<Type>> canonical;
+ std::vector<UnvalidatedConvertOutput<Type>> canonical;
canonical.reserve(arguments.size());
for (const auto& argument : arguments) {
canonical.push_back(NN_TRY(validatedConvert(argument)));
@@ -145,8 +107,7 @@
const bool validOperandTypes = std::all_of(
capabilities.operandPerformance.begin(), capabilities.operandPerformance.end(),
[](const hal::V1_2::Capabilities::OperandPerformance& operandPerformance) {
- const auto maybeType = unvalidatedConvert(operandPerformance.type);
- return !maybeType.has_value() ? false : validOperandType(maybeType.value());
+ return validatedConvert(operandPerformance.type).has_value();
});
if (!validOperandTypes) {
return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -275,6 +236,7 @@
GeneralResult<Timing> unvalidatedConvert(const hal::V1_2::Timing& timing) {
constexpr uint64_t kMaxTiming = std::chrono::floor<HalDuration>(Duration::max()).count();
constexpr auto convertTiming = [](uint64_t halTiming) -> OptionalDuration {
+ constexpr uint64_t kNoTiming = std::numeric_limits<uint64_t>::max();
if (halTiming == kNoTiming) {
return {};
}
@@ -378,25 +340,19 @@
}
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+nn::GeneralResult<hidl_vec<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const std::vector<Type>& arguments) {
- hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+ hidl_vec<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
}
return halObject;
}
-template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
- const std::vector<Type>& arguments) {
- return unvalidatedConvertVec(arguments);
-}
-
nn::GeneralResult<Operand::ExtraParams> makeExtraParams(nn::Operand::NoParams /*noParams*/) {
return Operand::ExtraParams{};
}
@@ -416,22 +372,15 @@
}
template <typename Type>
-decltype(utils::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
- const auto maybeVersion = nn::validate(canonical);
- if (!maybeVersion.has_value()) {
- return nn::error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
- return utils::unvalidatedConvert(canonical);
+nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
+ NN_TRY(compliantVersion(canonical));
+ return unvalidatedConvert(canonical);
}
template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> validatedConvert(
+nn::GeneralResult<hidl_vec<UnvalidatedConvertOutput<Type>>> validatedConvert(
const std::vector<Type>& arguments) {
- hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+ hidl_vec<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
halObject[i] = NN_TRY(validatedConvert(arguments[i]));
}
@@ -469,7 +418,7 @@
capabilities.operandPerformance.asVector().end(),
std::back_inserter(operandPerformance),
[](const nn::Capabilities::OperandPerformance& operandPerformance) {
- return nn::validOperandType(operandPerformance.type);
+ return compliantVersion(operandPerformance.type).has_value();
});
return Capabilities{
@@ -570,6 +519,7 @@
nn::GeneralResult<Timing> unvalidatedConvert(const nn::Timing& timing) {
constexpr auto convertTiming = [](nn::OptionalDuration canonicalTiming) -> uint64_t {
+ constexpr uint64_t kNoTiming = std::numeric_limits<uint64_t>::max();
if (!canonicalTiming.has_value()) {
return kNoTiming;
}
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
index eedf591..7a17f25 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstController.cpp
@@ -276,7 +276,9 @@
}
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
-ExecutionBurstController::execute(const nn::Request& request, nn::MeasureTiming measure) const {
+ExecutionBurstController::execute(const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const {
// This is the first point when we know an execution is occurring, so begin to collect
// systraces. Note that the first point we can begin collecting systraces in
// ExecutionBurstServer is when the RequestChannelReceiver realizes there is data in the FMQ, so
@@ -289,7 +291,7 @@
version > nn::Version::ANDROID_Q) {
// fallback to another execution path if the packet could not be sent
if (kFallback) {
- return kFallback(request, measure);
+ return kFallback(request, measure, deadline, loopTimeoutDuration);
}
return NN_ERROR() << "Request object has features not supported by IBurst::execute";
}
@@ -323,7 +325,7 @@
if (!sendStatus.ok()) {
// fallback to another execution path if the packet could not be sent
if (kFallback) {
- return kFallback(request, measure);
+ return kFallback(request, measure, deadline, loopTimeoutDuration);
}
return NN_ERROR() << "Error sending FMQ packet: " << sendStatus.error();
}
diff --git a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
index 50af881..c67159e 100644
--- a/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
+++ b/neuralnetworks/1.2/utils/src/ExecutionBurstServer.cpp
@@ -259,7 +259,7 @@
nn::MeasureTiming canonicalMeasure = NN_TRY(makeExecutionFailure(nn::convert(measure)));
const auto [outputShapes, timing] =
- NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure));
+ NN_TRY(mBurstExecutor->execute(canonicalRequest, canonicalMeasure, {}, {}));
return std::make_pair(NN_TRY(makeExecutionFailure(convert(outputShapes))),
NN_TRY(makeExecutionFailure(convert(timing))));
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index 71a4ea8..b209a44 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -122,10 +122,12 @@
nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
auto self = shared_from_this();
- auto fallback = [preparedModel = std::move(self)](const nn::Request& request,
- nn::MeasureTiming measure)
+ auto fallback = [preparedModel = std::move(self)](
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration)
-> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
- return preparedModel->execute(request, measure, {}, {});
+ return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
};
const auto pollingTimeWindow = getBurstControllerPollingTimeWindow();
return ExecutionBurstController::create(kPreparedModel, std::move(fallback), pollingTimeWindow);
diff --git a/neuralnetworks/1.2/utils/test/MockBurstContext.h b/neuralnetworks/1.2/utils/test/MockBurstContext.h
new file mode 100644
index 0000000..e364178
--- /dev/null
+++ b/neuralnetworks/1.2/utils/test/MockBurstContext.h
@@ -0,0 +1,36 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_BURST_CONTEXT_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_BURST_CONTEXT_H
+
+#include <android/hardware/neuralnetworks/1.2/IBurstContext.h>
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include <hidl/HidlSupport.h>
+#include <hidl/Status.h>
+
+namespace android::hardware::neuralnetworks::V1_2::utils {
+
+class MockBurstContext final : public IBurstContext {
+ public:
+ // V1_2 methods below.
+ MOCK_METHOD(Return<void>, freeMemory, (int32_t slot), (override));
+};
+
+} // namespace android::hardware::neuralnetworks::V1_2::utils
+
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_BURST_CONTEXT_H
diff --git a/neuralnetworks/1.2/utils/test/MockDevice.h b/neuralnetworks/1.2/utils/test/MockDevice.h
index b459943..0d34c70 100644
--- a/neuralnetworks/1.2/utils/test/MockDevice.h
+++ b/neuralnetworks/1.2/utils/test/MockDevice.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE_H
#include <android/hardware/neuralnetworks/1.2/IDevice.h>
#include <gmock/gmock.h>
@@ -114,4 +114,4 @@
} // namespace android::hardware::neuralnetworks::V1_2::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/1.2/utils/test/MockPreparedModel.h b/neuralnetworks/1.2/utils/test/MockPreparedModel.h
index f5fd1f3..bd81712 100644
--- a/neuralnetworks/1.2/utils/test/MockPreparedModel.h
+++ b/neuralnetworks/1.2/utils/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL_H
#include <android/hardware/neuralnetworks/1.2/IPreparedModel.h>
#include <gmock/gmock.h>
@@ -98,4 +98,4 @@
} // namespace android::hardware::neuralnetworks::V1_2::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_2_UTILS_TEST_MOCK_PREPARED_MODEL_H
diff --git a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
index 5062ac9..d297b1a 100644
--- a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
@@ -16,6 +16,8 @@
#include "MockPreparedModel.h"
+#include "MockBurstContext.h"
+
#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
@@ -67,6 +69,17 @@
return launchStatus;
};
}
+auto makeConfigureExecutionBurstReturn(V1_0::ErrorStatus status,
+ const sp<MockBurstContext>& burstContext) {
+ return [status, burstContext](
+ const sp<V1_2::IBurstCallback>& /*callback*/,
+ const MQDescriptorSync<V1_2::FmqRequestDatum>& /*requestChannel*/,
+ const MQDescriptorSync<V1_2::FmqResultDatum>& /*resultChannel*/,
+ V1_2::IPreparedModel::configureExecutionBurst_cb cb) -> hardware::Return<void> {
+ cb(status, burstContext);
+ return hardware::Void();
+ };
+}
std::function<hardware::Status()> makeTransportFailure(status_t status) {
return [status] { return hardware::Status::fromStatusT(status); };
@@ -321,7 +334,76 @@
EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
}
-// TODO: test burst execution if/when it is added to nn::IPreparedModel.
+TEST(PreparedModelTest, configureExecutionBurst) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto mockBurstContext = sp<MockBurstContext>::make();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(makeConfigureExecutionBurstReturn(V1_0::ErrorStatus::NONE, mockBurstContext));
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_TRUE(result.has_value())
+ << "Failed with " << result.error().code << ": " << result.error().message;
+ EXPECT_NE(result.value(), nullptr);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstError) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(
+ makeConfigureExecutionBurstReturn(V1_0::ErrorStatus::GENERAL_FAILURE, nullptr));
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstTransportFailure) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstDeadObject) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
TEST(PreparedModelTest, getUnderlyingResource) {
// setup test
diff --git a/neuralnetworks/1.3/IDevice.hal b/neuralnetworks/1.3/IDevice.hal
index e0b04a8..de889e4 100644
--- a/neuralnetworks/1.3/IDevice.hal
+++ b/neuralnetworks/1.3/IDevice.hal
@@ -131,6 +131,14 @@
* ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
* to an abort must be sent the same way as other errors, described above.
+ * The deadline is represented as nanoseconds since the epoch of the steady
+ * clock (as if from std::chrono::steady_clock::time_point), but the service
+ * may convert it to the nanoseconds since boot time (as if from
+ * clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * android::base::boot_clock::time_point) to account for time when the
+ * system is suspended. This conversion can by done by finding the timeout
+ * duration remaining compared to the steady_clock and adding it to the
+ * current boot_clock time.
*
* Optionally, the driver may save the prepared model to cache during the
* asynchronous preparation. Any error that occurs when saving to cache must
@@ -249,7 +257,15 @@
* ErrorStatus::MISSED_DEADLINE_TRANSIENT}
* or {@link ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The
* error due to an abort must be sent the same way as other errors,
- * described above.
+ * described above. The deadline is represented as nanoseconds since the
+ * epoch of the steady clock (as if from
+ * std::chrono::steady_clock::time_point), but the service may convert it to
+ * the nanoseconds since boot time (as if from
+ * clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * android::base::boot_clock::time_point) to account for time when the
+ * system is suspended. This conversion can by done by finding the timeout
+ * duration remaining compared to the steady_clock and adding it to the
+ * current boot_clock time.
*
* The only information that may be unknown to the model at this stage is
* the shape of the tensors, which may only be known at execution time. As
diff --git a/neuralnetworks/1.3/IPreparedModel.hal b/neuralnetworks/1.3/IPreparedModel.hal
index e7d63f4..8b86a1a 100644
--- a/neuralnetworks/1.3/IPreparedModel.hal
+++ b/neuralnetworks/1.3/IPreparedModel.hal
@@ -74,6 +74,14 @@
* ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
* to an abort must be sent the same way as other errors, described above.
+ * The deadline is represented as nanoseconds since the epoch of the steady
+ * clock (as if from std::chrono::steady_clock::time_point), but the service
+ * may convert it to the nanoseconds since boot time (as if from
+ * clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * android::base::boot_clock::time_point) to account for time when the
+ * system is suspended. This conversion can by done by finding the timeout
+ * duration remaining compared to the steady_clock and adding it to the
+ * current boot_clock time.
*
* Any number of calls to the execute* and executeSynchronously* functions,
* in any combination, may be made concurrently, even on the same
@@ -150,6 +158,14 @@
* ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
* to an abort must be sent the same way as other errors, described above.
+ * The deadline is represented as nanoseconds since the epoch of the steady
+ * clock (as if from std::chrono::steady_clock::time_point), but the service
+ * may convert it to the nanoseconds since boot time (as if from
+ * clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * android::base::boot_clock::time_point) to account for time when the
+ * system is suspended. This conversion can by done by finding the timeout
+ * duration remaining compared to the steady_clock and adding it to the
+ * current boot_clock time.
*
* Any number of calls to the execute* and executeSynchronously* functions,
* in any combination, may be made concurrently, even on the same
@@ -231,6 +247,14 @@
* {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due
* to an abort must be sent the same way as other errors, described above.
+ * The deadline is represented as nanoseconds since the epoch of the steady
+ * clock (as if from std::chrono::steady_clock::time_point), but the service
+ * may convert it to the nanoseconds since boot time (as if from
+ * clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * android::base::boot_clock::time_point) to account for time when the
+ * system is suspended. This conversion can by done by finding the timeout
+ * duration remaining compared to the steady_clock and adding it to the
+ * current boot_clock time.
*
* If any of the sync fences in waitFor changes to error status after the executeFenced
* call succeeds, or the execution is aborted because it cannot finish before the deadline
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
index 3ce412c..1d76caa 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Utils.h
@@ -22,14 +22,25 @@
#include <android-base/logging.h>
#include <android/hardware/neuralnetworks/1.3/types.h>
#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
+#include <nnapi/Validation.h>
#include <nnapi/hal/1.0/Conversions.h>
#include <nnapi/hal/1.1/Conversions.h>
+#include <nnapi/hal/1.1/Utils.h>
#include <nnapi/hal/1.2/Conversions.h>
+#include <nnapi/hal/1.2/Utils.h>
+#include <nnapi/hal/HandleError.h>
namespace android::hardware::neuralnetworks::V1_3::utils {
+using V1_1::utils::kDefaultExecutionPreference;
+using V1_2::utils::CacheToken;
+using V1_2::utils::kDefaultMesaureTiming;
+using V1_2::utils::kNoTiming;
+
constexpr auto kDefaultPriority = Priority::MEDIUM;
+constexpr auto kVersion = nn::Version::ANDROID_R;
template <typename Type>
nn::Result<void> validate(const Type& halObject) {
@@ -50,6 +61,15 @@
}
template <typename Type>
+nn::GeneralResult<void> compliantVersion(const Type& canonical) {
+ const auto version = NN_TRY(hal::utils::makeGeneralFailure(nn::validate(canonical)));
+ if (version > kVersion) {
+ return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+ }
+ return {};
+}
+
+template <typename Type>
auto convertFromNonCanonical(const Type& nonCanonicalObject)
-> decltype(convert(nn::convert(nonCanonicalObject).value())) {
return convert(NN_TRY(nn::convert(nonCanonicalObject)));
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 9788fe1..e8a4f55 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -38,55 +38,47 @@
#include <type_traits>
#include <utility>
+#include "Utils.h"
+
namespace {
+std::chrono::nanoseconds makeNanosFromUint64(uint64_t nanoseconds) {
+ constexpr auto kMaxCount = std::chrono::nanoseconds::max().count();
+ using CommonType = std::common_type_t<std::chrono::nanoseconds::rep, uint64_t>;
+ const auto count = std::min<CommonType>(kMaxCount, nanoseconds);
+ return std::chrono::nanoseconds{static_cast<std::chrono::nanoseconds::rep>(count)};
+}
+
+uint64_t makeUint64FromNanos(std::chrono::nanoseconds nanoseconds) {
+ if (nanoseconds < std::chrono::nanoseconds::zero()) {
+ return 0;
+ }
+ constexpr auto kMaxCount = std::numeric_limits<uint64_t>::max();
+ using CommonType = std::common_type_t<std::chrono::nanoseconds::rep, uint64_t>;
+ const auto count = std::min<CommonType>(kMaxCount, nanoseconds.count());
+ return static_cast<uint64_t>(count);
+}
+
template <typename Type>
constexpr std::underlying_type_t<Type> underlyingType(Type value) {
return static_cast<std::underlying_type_t<Type>>(value);
}
-constexpr auto kVersion = android::nn::Version::ANDROID_R;
-
} // namespace
namespace android::nn {
namespace {
-constexpr auto validOperandType(nn::OperandType operandType) {
- switch (operandType) {
- case nn::OperandType::FLOAT32:
- case nn::OperandType::INT32:
- case nn::OperandType::UINT32:
- case nn::OperandType::TENSOR_FLOAT32:
- case nn::OperandType::TENSOR_INT32:
- case nn::OperandType::TENSOR_QUANT8_ASYMM:
- case nn::OperandType::BOOL:
- case nn::OperandType::TENSOR_QUANT16_SYMM:
- case nn::OperandType::TENSOR_FLOAT16:
- case nn::OperandType::TENSOR_BOOL8:
- case nn::OperandType::FLOAT16:
- case nn::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
- case nn::OperandType::TENSOR_QUANT16_ASYMM:
- case nn::OperandType::TENSOR_QUANT8_SYMM:
- case nn::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
- case nn::OperandType::SUBGRAPH:
- case nn::OperandType::OEM:
- case nn::OperandType::TENSOR_OEM_BYTE:
- return true;
- }
- return nn::isExtension(operandType);
-}
-
using hardware::hidl_vec;
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const hidl_vec<Type>& arguments) {
- std::vector<unvalidatedConvertOutput<Type>> canonical;
+ std::vector<UnvalidatedConvertOutput<Type>> canonical;
canonical.reserve(arguments.size());
for (const auto& argument : arguments) {
canonical.push_back(NN_TRY(nn::unvalidatedConvert(argument)));
@@ -95,29 +87,16 @@
}
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
- const hidl_vec<Type>& arguments) {
- return unvalidatedConvertVec(arguments);
-}
-
-template <typename Type>
-decltype(nn::unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& halObject) {
+GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& halObject) {
auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
- const auto maybeVersion = validate(canonical);
- if (!maybeVersion.has_value()) {
- return error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+ NN_TRY(hal::V1_3::utils::compliantVersion(canonical));
return canonical;
}
template <typename Type>
-GeneralResult<std::vector<unvalidatedConvertOutput<Type>>> validatedConvert(
+GeneralResult<std::vector<UnvalidatedConvertOutput<Type>>> validatedConvert(
const hidl_vec<Type>& arguments) {
- std::vector<unvalidatedConvertOutput<Type>> canonical;
+ std::vector<UnvalidatedConvertOutput<Type>> canonical;
canonical.reserve(arguments.size());
for (const auto& argument : arguments) {
canonical.push_back(NN_TRY(validatedConvert(argument)));
@@ -143,8 +122,7 @@
const bool validOperandTypes = std::all_of(
capabilities.operandPerformance.begin(), capabilities.operandPerformance.end(),
[](const hal::V1_3::Capabilities::OperandPerformance& operandPerformance) {
- const auto maybeType = unvalidatedConvert(operandPerformance.type);
- return !maybeType.has_value() ? false : validOperandType(maybeType.value());
+ return validatedConvert(operandPerformance.type).has_value();
});
if (!validOperandTypes) {
return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
@@ -244,7 +222,7 @@
return BufferRole{
.modelIndex = bufferRole.modelIndex,
.ioIndex = bufferRole.ioIndex,
- .frequency = bufferRole.frequency,
+ .probability = bufferRole.frequency,
};
}
@@ -276,8 +254,32 @@
switch (optionalTimePoint.getDiscriminator()) {
case Discriminator::none:
return {};
- case Discriminator::nanosecondsSinceEpoch:
- return TimePoint{Duration{optionalTimePoint.nanosecondsSinceEpoch()}};
+ case Discriminator::nanosecondsSinceEpoch: {
+ const auto currentSteadyTime = std::chrono::steady_clock::now();
+ const auto currentBootTime = Clock::now();
+
+ const auto timeSinceEpoch =
+ makeNanosFromUint64(optionalTimePoint.nanosecondsSinceEpoch());
+ const auto steadyTimePoint = std::chrono::steady_clock::time_point{timeSinceEpoch};
+
+ // Both steadyTimePoint and currentSteadyTime are guaranteed to be non-negative, so this
+ // subtraction will never overflow or underflow.
+ const auto timeRemaining = steadyTimePoint - currentSteadyTime;
+
+ // currentBootTime is guaranteed to be non-negative, so this code only protects against
+ // an overflow.
+ nn::TimePoint bootTimePoint;
+ constexpr auto kZeroNano = std::chrono::nanoseconds::zero();
+ constexpr auto kMaxTime = nn::TimePoint::max();
+ if (timeRemaining > kZeroNano && currentBootTime > kMaxTime - timeRemaining) {
+ bootTimePoint = kMaxTime;
+ } else {
+ bootTimePoint = currentBootTime + timeRemaining;
+ }
+
+ constexpr auto kZeroTime = nn::TimePoint{};
+ return std::max(bootTimePoint, kZeroTime);
+ }
}
return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
<< "Invalid OptionalTimePoint discriminator "
@@ -401,25 +403,19 @@
}
template <typename Input>
-using unvalidatedConvertOutput =
+using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvertVec(
+nn::GeneralResult<hidl_vec<UnvalidatedConvertOutput<Type>>> unvalidatedConvert(
const std::vector<Type>& arguments) {
- hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+ hidl_vec<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
halObject[i] = NN_TRY(unvalidatedConvert(arguments[i]));
}
return halObject;
}
-template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> unvalidatedConvert(
- const std::vector<Type>& arguments) {
- return unvalidatedConvertVec(arguments);
-}
-
nn::GeneralResult<Request::MemoryPool> makeMemoryPool(const nn::SharedMemory& memory) {
Request::MemoryPool ret;
ret.hidlMemory(NN_TRY(unvalidatedConvert(memory)));
@@ -439,22 +435,15 @@
using utils::unvalidatedConvert;
template <typename Type>
-decltype(unvalidatedConvert(std::declval<Type>())) validatedConvert(const Type& canonical) {
- const auto maybeVersion = nn::validate(canonical);
- if (!maybeVersion.has_value()) {
- return nn::error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
+ NN_TRY(compliantVersion(canonical));
return unvalidatedConvert(canonical);
}
template <typename Type>
-nn::GeneralResult<hidl_vec<unvalidatedConvertOutput<Type>>> validatedConvert(
+nn::GeneralResult<hidl_vec<UnvalidatedConvertOutput<Type>>> validatedConvert(
const std::vector<Type>& arguments) {
- hidl_vec<unvalidatedConvertOutput<Type>> halObject(arguments.size());
+ hidl_vec<UnvalidatedConvertOutput<Type>> halObject(arguments.size());
for (size_t i = 0; i < arguments.size(); ++i) {
halObject[i] = NN_TRY(validatedConvert(arguments[i]));
}
@@ -482,7 +471,7 @@
capabilities.operandPerformance.asVector().end(),
std::back_inserter(operandPerformance),
[](const nn::Capabilities::OperandPerformance& operandPerformance) {
- return nn::validOperandType(operandPerformance.type);
+ return compliantVersion(operandPerformance.type).has_value();
});
return Capabilities{
@@ -577,7 +566,7 @@
return BufferRole{
.modelIndex = bufferRole.modelIndex,
.ioIndex = bufferRole.ioIndex,
- .frequency = bufferRole.frequency,
+ .frequency = bufferRole.probability,
};
}
@@ -601,9 +590,33 @@
nn::GeneralResult<OptionalTimePoint> unvalidatedConvert(
const nn::OptionalTimePoint& optionalTimePoint) {
+ const auto currentSteadyTime = std::chrono::steady_clock::now();
+ const auto currentBootTime = nn::Clock::now();
+
OptionalTimePoint ret;
if (optionalTimePoint.has_value()) {
- const auto count = optionalTimePoint.value().time_since_epoch().count();
+ const auto bootTimePoint = optionalTimePoint.value();
+
+ if (bootTimePoint < nn::TimePoint{}) {
+ return NN_ERROR() << "Trying to cast invalid time point";
+ }
+
+ // Both bootTimePoint and currentBootTime are guaranteed to be non-negative, so this
+ // subtraction will never overflow or underflow.
+ const auto timeRemaining = bootTimePoint - currentBootTime;
+
+ // currentSteadyTime is guaranteed to be non-negative, so this code only protects against an
+ // overflow.
+ std::chrono::steady_clock::time_point steadyTimePoint;
+ constexpr auto kZeroNano = std::chrono::nanoseconds::zero();
+ constexpr auto kMaxTime = std::chrono::steady_clock::time_point::max();
+ if (timeRemaining > kZeroNano && currentSteadyTime > kMaxTime - timeRemaining) {
+ steadyTimePoint = kMaxTime;
+ } else {
+ steadyTimePoint = currentSteadyTime + timeRemaining;
+ }
+
+ const uint64_t count = makeUint64FromNanos(steadyTimePoint.time_since_epoch());
ret.nanosecondsSinceEpoch(count);
}
return ret;
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index 64275a3..fd7f8f2 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -201,10 +201,12 @@
nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
auto self = shared_from_this();
- auto fallback = [preparedModel = std::move(self)](const nn::Request& request,
- nn::MeasureTiming measure)
+ auto fallback = [preparedModel = std::move(self)](
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration)
-> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
- return preparedModel->execute(request, measure, {}, {});
+ return preparedModel->execute(request, measure, deadline, loopTimeoutDuration);
};
const auto pollingTimeWindow = V1_2::utils::getBurstControllerPollingTimeWindow();
return V1_2::utils::ExecutionBurstController::create(kPreparedModel, std::move(fallback),
diff --git a/neuralnetworks/1.3/utils/test/MockBuffer.h b/neuralnetworks/1.3/utils/test/MockBuffer.h
index fb31b51..a67c5f6 100644
--- a/neuralnetworks/1.3/utils/test/MockBuffer.h
+++ b/neuralnetworks/1.3/utils/test/MockBuffer.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BUFFER
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BUFFER
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BUFFER_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BUFFER_H
#include <android/hardware/neuralnetworks/1.3/IBuffer.h>
#include <gmock/gmock.h>
@@ -40,4 +40,4 @@
} // namespace android::hardware::neuralnetworks::V1_3::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BUFFER
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BUFFER_H
diff --git a/neuralnetworks/1.3/utils/test/MockBurstContext.h b/neuralnetworks/1.3/utils/test/MockBurstContext.h
new file mode 100644
index 0000000..e102b46
--- /dev/null
+++ b/neuralnetworks/1.3/utils/test/MockBurstContext.h
@@ -0,0 +1,36 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BURST_CONTEXT_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BURST_CONTEXT_H
+
+#include <android/hardware/neuralnetworks/1.2/IBurstContext.h>
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include <hidl/HidlSupport.h>
+#include <hidl/Status.h>
+
+namespace android::hardware::neuralnetworks::V1_3::utils {
+
+class MockBurstContext final : public V1_2::IBurstContext {
+ public:
+ // V1_2 methods below.
+ MOCK_METHOD(Return<void>, freeMemory, (int32_t slot), (override));
+};
+
+} // namespace android::hardware::neuralnetworks::V1_3::utils
+
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_BURST_CONTEXT_H
diff --git a/neuralnetworks/1.3/utils/test/MockDevice.h b/neuralnetworks/1.3/utils/test/MockDevice.h
index 85d3750..b79037f 100644
--- a/neuralnetworks/1.3/utils/test/MockDevice.h
+++ b/neuralnetworks/1.3/utils/test/MockDevice.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_DEVICE_H
#include <android/hardware/neuralnetworks/1.3/IDevice.h>
#include <gmock/gmock.h>
@@ -136,4 +136,4 @@
} // namespace android::hardware::neuralnetworks::V1_3::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_DEVICE
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/1.3/utils/test/MockFencedExecutionCallback.h b/neuralnetworks/1.3/utils/test/MockFencedExecutionCallback.h
index fc08a7f..04c0a92 100644
--- a/neuralnetworks/1.3/utils/test/MockFencedExecutionCallback.h
+++ b/neuralnetworks/1.3/utils/test/MockFencedExecutionCallback.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK_H
#include <android/hardware/neuralnetworks/1.3/IFencedExecutionCallback.h>
#include <gmock/gmock.h>
@@ -39,4 +39,4 @@
} // namespace android::hardware::neuralnetworks::V1_3::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK_H
diff --git a/neuralnetworks/1.3/utils/test/MockPreparedModel.h b/neuralnetworks/1.3/utils/test/MockPreparedModel.h
index e441524..ef64fa4 100644
--- a/neuralnetworks/1.3/utils/test/MockPreparedModel.h
+++ b/neuralnetworks/1.3/utils/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_PREPARED_MODEL_H
#include <android/hardware/neuralnetworks/1.3/IPreparedModel.h>
#include <gmock/gmock.h>
@@ -118,4 +118,4 @@
} // namespace android::hardware::neuralnetworks::V1_3::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_PREPARED_MODEL
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_3_UTILS_TEST_MOCK_PREPARED_MODEL_H
diff --git a/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp
index 11796dd..5303c2a 100644
--- a/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.3/utils/test/PreparedModelTest.cpp
@@ -14,6 +14,7 @@
* limitations under the License.
*/
+#include "MockBurstContext.h"
#include "MockFencedExecutionCallback.h"
#include "MockPreparedModel.h"
@@ -96,6 +97,17 @@
return hardware::Void();
};
}
+auto makeConfigureExecutionBurstReturn(V1_0::ErrorStatus status,
+ const sp<MockBurstContext>& burstContext) {
+ return [status, burstContext](
+ const sp<V1_2::IBurstCallback>& /*callback*/,
+ const MQDescriptorSync<V1_2::FmqRequestDatum>& /*requestChannel*/,
+ const MQDescriptorSync<V1_2::FmqResultDatum>& /*resultChannel*/,
+ V1_2::IPreparedModel::configureExecutionBurst_cb cb) -> hardware::Return<void> {
+ cb(status, burstContext);
+ return hardware::Void();
+ };
+}
std::function<hardware::Status()> makeTransportFailure(status_t status) {
return [status] { return hardware::Status::fromStatusT(status); };
@@ -450,7 +462,76 @@
EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
}
-// TODO: test burst execution if/when it is added to nn::IPreparedModel.
+TEST(PreparedModelTest, configureExecutionBurst) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto mockBurstContext = sp<MockBurstContext>::make();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(makeConfigureExecutionBurstReturn(V1_0::ErrorStatus::NONE, mockBurstContext));
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_TRUE(result.has_value())
+ << "Failed with " << result.error().code << ": " << result.error().message;
+ EXPECT_NE(result.value(), nullptr);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstError) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(
+ makeConfigureExecutionBurstReturn(V1_0::ErrorStatus::GENERAL_FAILURE, nullptr));
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstTransportFailure) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstDeadObject) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto preparedModel =
+ PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_, _, _, _))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
TEST(PreparedModelTest, getUnderlyingResource) {
// setup test
diff --git a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
index f18e92a..10a6b75 100644
--- a/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
+++ b/neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl
@@ -36,5 +36,5 @@
parcelable BufferRole {
int modelIndex;
int ioIndex;
- float frequency;
+ float probability;
}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
index 0d7f678..c444851 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/BufferRole.aidl
@@ -35,5 +35,5 @@
* used in the specified role. This is provided as a hint to optimize the case when multiple
* roles prefer different buffer locations or data layouts.
*/
- float frequency;
+ float probability;
}
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
index e17e0cd..c5b4ab1 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IDevice.aidl
@@ -307,10 +307,10 @@
* @param priority The priority of the prepared model relative to other prepared models owned by
* the client.
* @param deadline The time by which the model is expected to be prepared. The time is measured
- * in nanoseconds since epoch of the steady clock (as from
- * std::chrono::steady_clock). If the model cannot be prepared by the deadline,
- * the preparation may be aborted. Passing -1 means the deadline is omitted.
- * Other negative values are invalid.
+ * in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts)
+ * or ::android::base::boot_clock). If the model cannot be prepared by the
+ * deadline, the preparation may be aborted. Passing -1 means the deadline is
+ * omitted. Other negative values are invalid.
* @param modelCache A vector of file descriptors for the security-sensitive cache. The length
* of the vector must either be 0 indicating that caching information is not
* provided, or match the numModelCache returned from
@@ -396,10 +396,10 @@
* different shapes of inputs on different (possibly concurrent) executions.
*
* @param deadline The time by which the model is expected to be prepared. The time is measured
- * in nanoseconds since epoch of the steady clock (as from
- * std::chrono::steady_clock). If the model cannot be prepared by the deadline,
- * the preparation may be aborted. Passing -1 means the deadline is omitted.
- * Other negative values are invalid.
+ * in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * ::android::base::boot_clock). If the model cannot be prepared by the
+ * deadline, the preparation may be aborted. Passing -1 means the deadline is
+ * omitted. Other negative values are invalid.
* @param modelCache A vector of file descriptors for the security-sensitive cache. The length
* of the vector must match the numModelCache returned from
* getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
diff --git a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
index 2a9757b..bfab906 100644
--- a/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
+++ b/neuralnetworks/aidl/android/hardware/neuralnetworks/IPreparedModel.aidl
@@ -73,8 +73,8 @@
* runs from the time the driver sees the call to the executeSynchronously
* function to the time the driver returns from the function.
* @param deadline The time by which the execution is expected to complete. The time is measured
- * in nanoseconds since epoch of the steady clock (as from
- * std::chrono::steady_clock). If the execution cannot be finished by the
+ * in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * ::android::base::boot_clock). If the execution cannot be finished by the
* deadline, the execution may be aborted. Passing -1 means the deadline is
* omitted. Other negative values are invalid.
* @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
@@ -138,8 +138,8 @@
* sync fences have been signaled.
* @param measure Specifies whether or not to measure duration of the execution.
* @param deadline The time by which the execution is expected to complete. The time is measured
- * in nanoseconds since epoch of the steady clock (as from
- * std::chrono::steady_clock).If the execution cannot be finished by the
+ * in nanoseconds since boot (as from clock_gettime(CLOCK_BOOTTIME, &ts) or
+ * ::android::base::boot_clock). If the execution cannot be finished by the
* deadline, the execution may be aborted. Passing -1 means the deadline is
* omitted. Other negative values are invalid.
* @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
diff --git a/neuralnetworks/aidl/utils/Android.bp b/neuralnetworks/aidl/utils/Android.bp
index 476dac9..ad961cf 100644
--- a/neuralnetworks/aidl/utils/Android.bp
+++ b/neuralnetworks/aidl/utils/Android.bp
@@ -34,7 +34,6 @@
"libarect",
"neuralnetworks_types",
"neuralnetworks_utils_hal_common",
- "neuralnetworks_utils_hal_1_0",
],
shared_libs: [
"android.hardware.neuralnetworks-V1-ndk_platform",
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
new file mode 100644
index 0000000..008e4e4
--- /dev/null
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Burst.h
@@ -0,0 +1,111 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H
+
+#include <aidl/android/hardware/neuralnetworks/IBurst.h>
+#include <android-base/scopeguard.h>
+#include <android-base/thread_annotations.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/CommonUtils.h>
+
+#include <atomic>
+#include <memory>
+#include <mutex>
+#include <optional>
+#include <unordered_map>
+#include <utility>
+
+// See hardware/interfaces/neuralnetworks/utils/README.md for more information on AIDL interface
+// lifetimes across processes and for protecting asynchronous calls across AIDL.
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+// Class that adapts aidl_hal::IBurst to nn::IBurst.
+class Burst final : public nn::IBurst {
+ struct PrivateConstructorTag {};
+
+ public:
+ /**
+ * Thread-safe, self-cleaning cache that relates an nn::Memory object to a unique int64_t
+ * identifier.
+ */
+ class MemoryCache : public std::enable_shared_from_this<MemoryCache> {
+ public:
+ using Task = std::function<void()>;
+ using Cleanup = ::android::base::ScopeGuard<Task>;
+ using SharedCleanup = std::shared_ptr<const Cleanup>;
+ using WeakCleanup = std::weak_ptr<const Cleanup>;
+
+ explicit MemoryCache(std::shared_ptr<aidl_hal::IBurst> burst);
+
+ /**
+ * Get or cache a memory object in the MemoryCache object.
+ *
+ * @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
+ * @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
+ * "hold" object which preserves the cache as long as the hold object is alive.
+ */
+ std::pair<int64_t, SharedCleanup> getOrCacheMemory(const nn::SharedMemory& memory);
+
+ /**
+ * Get a cached memory object in the MemoryCache object if it exists, otherwise
+ * std::nullopt.
+ *
+ * @param memory Memory object to be cached while the returned `SharedCleanup` is alive.
+ * @return A pair of (1) a unique identifier for the cache entry and (2) a ref-counted
+ * "hold" object which preserves the cache as long as the hold object is alive. IF the
+ * cache entry is not present, std::nullopt is returned instead.
+ */
+ std::optional<std::pair<int64_t, SharedCleanup>> getMemoryIfAvailable(
+ const nn::SharedMemory& memory);
+
+ private:
+ void tryFreeMemory(const nn::SharedMemory& memory, int64_t identifier);
+
+ const std::shared_ptr<aidl_hal::IBurst> kBurst;
+ std::mutex mMutex;
+ int64_t mUnusedIdentifier GUARDED_BY(mMutex) = 0;
+ std::unordered_map<nn::SharedMemory, std::pair<int64_t, WeakCleanup>> mCache
+ GUARDED_BY(mMutex);
+ };
+
+ static nn::GeneralResult<std::shared_ptr<const Burst>> create(
+ std::shared_ptr<aidl_hal::IBurst> burst);
+
+ Burst(PrivateConstructorTag tag, std::shared_ptr<aidl_hal::IBurst> burst);
+
+ // See IBurst::cacheMemory for information.
+ OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
+
+ // See IBurst::execute for information.
+ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const override;
+
+ private:
+ mutable std::atomic_flag mExecutionInFlight = ATOMIC_FLAG_INIT;
+ const std::shared_ptr<aidl_hal::IBurst> kBurst;
+ const std::shared_ptr<MemoryCache> kMemoryCache;
+};
+
+} // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_BURST_H
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h
index 4922a6e..5eab9ff 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Conversions.h
@@ -99,6 +99,9 @@
const ::aidl::android::hardware::common::NativeHandle& handle);
GeneralResult<SyncFence> unvalidatedConvert(const ndk::ScopedFileDescriptor& syncFence);
+GeneralResult<std::vector<Operation>> unvalidatedConvert(
+ const std::vector<aidl_hal::Operation>& operations);
+
GeneralResult<Capabilities> convert(const aidl_hal::Capabilities& capabilities);
GeneralResult<DeviceType> convert(const aidl_hal::DeviceType& deviceType);
GeneralResult<ErrorStatus> convert(const aidl_hal::ErrorStatus& errorStatus);
@@ -106,16 +109,13 @@
const aidl_hal::ExecutionPreference& executionPreference);
GeneralResult<SharedMemory> convert(const aidl_hal::Memory& memory);
GeneralResult<Model> convert(const aidl_hal::Model& model);
-GeneralResult<Operand> convert(const aidl_hal::Operand& operand);
GeneralResult<OperandType> convert(const aidl_hal::OperandType& operandType);
GeneralResult<Priority> convert(const aidl_hal::Priority& priority);
-GeneralResult<Request::MemoryPool> convert(const aidl_hal::RequestMemoryPool& memoryPool);
GeneralResult<Request> convert(const aidl_hal::Request& request);
GeneralResult<Timing> convert(const aidl_hal::Timing& timing);
GeneralResult<SyncFence> convert(const ndk::ScopedFileDescriptor& syncFence);
GeneralResult<std::vector<Extension>> convert(const std::vector<aidl_hal::Extension>& extension);
-GeneralResult<std::vector<Operation>> convert(const std::vector<aidl_hal::Operation>& outputShapes);
GeneralResult<std::vector<SharedMemory>> convert(const std::vector<aidl_hal::Memory>& memories);
GeneralResult<std::vector<OutputShape>> convert(
const std::vector<aidl_hal::OutputShape>& outputShapes);
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
index 9b28588..abce6cc 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/PreparedModel.h
@@ -22,7 +22,6 @@
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <nnapi/hal/CommonUtils.h>
-#include <nnapi/hal/aidl/ProtectCallback.h>
#include <memory>
#include <tuple>
@@ -35,8 +34,7 @@
namespace aidl::android::hardware::neuralnetworks::utils {
// Class that adapts aidl_hal::IPreparedModel to nn::IPreparedModel.
-class PreparedModel final : public nn::IPreparedModel,
- public std::enable_shared_from_this<PreparedModel> {
+class PreparedModel final : public nn::IPreparedModel {
struct PrivateConstructorTag {};
public:
diff --git a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
index 58dcfe3..316d34f 100644
--- a/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
+++ b/neuralnetworks/aidl/utils/include/nnapi/hal/aidl/Utils.h
@@ -21,6 +21,7 @@
#include <android-base/logging.h>
#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
#include <nnapi/Validation.h>
#include <nnapi/hal/HandleError.h>
@@ -48,6 +49,22 @@
return result.has_value();
}
+template <typename Type>
+nn::GeneralResult<void> compliantVersion(const Type& canonical) {
+ const auto version = NN_TRY(::android::hardware::neuralnetworks::utils::makeGeneralFailure(
+ nn::validate(canonical)));
+ if (version > kVersion) {
+ return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
+ }
+ return {};
+}
+
+template <typename Type>
+auto convertFromNonCanonical(const Type& nonCanonicalObject)
+ -> decltype(convert(nn::convert(nonCanonicalObject).value())) {
+ return convert(NN_TRY(nn::convert(nonCanonicalObject)));
+}
+
nn::GeneralResult<Memory> clone(const Memory& memory);
nn::GeneralResult<Request> clone(const Request& request);
nn::GeneralResult<RequestMemoryPool> clone(const RequestMemoryPool& requestPool);
diff --git a/neuralnetworks/aidl/utils/src/Burst.cpp b/neuralnetworks/aidl/utils/src/Burst.cpp
new file mode 100644
index 0000000..0b475bc
--- /dev/null
+++ b/neuralnetworks/aidl/utils/src/Burst.cpp
@@ -0,0 +1,197 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Burst.h"
+
+#include "Conversions.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/binder_auto_utils.h>
+#include <nnapi/IBurst.h>
+#include <nnapi/Result.h>
+#include <nnapi/TypeUtils.h>
+#include <nnapi/Types.h>
+#include <nnapi/hal/HandleError.h>
+
+#include <memory>
+#include <mutex>
+#include <optional>
+#include <utility>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+namespace {
+
+nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> convertExecutionResults(
+ const std::vector<OutputShape>& outputShapes, const Timing& timing) {
+ return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
+}
+
+} // namespace
+
+Burst::MemoryCache::MemoryCache(std::shared_ptr<aidl_hal::IBurst> burst)
+ : kBurst(std::move(burst)) {}
+
+std::pair<int64_t, Burst::MemoryCache::SharedCleanup> Burst::MemoryCache::getOrCacheMemory(
+ const nn::SharedMemory& memory) {
+ std::lock_guard lock(mMutex);
+
+ // Get the cache payload or create it (with default values) if it does not exist.
+ auto& cachedPayload = mCache[memory];
+ {
+ const auto& [identifier, maybeCleaner] = cachedPayload;
+ // If cache payload already exists, reuse it.
+ if (auto cleaner = maybeCleaner.lock()) {
+ return std::make_pair(identifier, std::move(cleaner));
+ }
+ }
+
+ // If the code reaches this point, the cached payload either did not exist or expired prior to
+ // this call.
+
+ // Allocate a new identifier.
+ CHECK_LT(mUnusedIdentifier, std::numeric_limits<int64_t>::max());
+ const int64_t identifier = mUnusedIdentifier++;
+
+ // Create reference-counted self-cleaning cache object.
+ auto self = weak_from_this();
+ Task cleanup = [memory, identifier, maybeMemoryCache = std::move(self)] {
+ if (const auto memoryCache = maybeMemoryCache.lock()) {
+ memoryCache->tryFreeMemory(memory, identifier);
+ }
+ };
+ auto cleaner = std::make_shared<const Cleanup>(std::move(cleanup));
+
+ // Store the result in the cache and return it.
+ auto result = std::make_pair(identifier, std::move(cleaner));
+ cachedPayload = result;
+ return result;
+}
+
+std::optional<std::pair<int64_t, Burst::MemoryCache::SharedCleanup>>
+Burst::MemoryCache::getMemoryIfAvailable(const nn::SharedMemory& memory) {
+ std::lock_guard lock(mMutex);
+
+ // Get the existing cached entry if it exists.
+ const auto iter = mCache.find(memory);
+ if (iter != mCache.end()) {
+ const auto& [identifier, maybeCleaner] = iter->second;
+ if (auto cleaner = maybeCleaner.lock()) {
+ return std::make_pair(identifier, std::move(cleaner));
+ }
+ }
+
+ // If the code reaches this point, the cached payload did not exist or was actively being
+ // deleted.
+ return std::nullopt;
+}
+
+void Burst::MemoryCache::tryFreeMemory(const nn::SharedMemory& memory, int64_t identifier) {
+ {
+ std::lock_guard guard(mMutex);
+ // Remove the cached memory and payload if it is present but expired. Note that it may not
+ // be present or may not be expired because another thread may have removed or cached the
+ // same memory object before the current thread locked mMutex in tryFreeMemory.
+ const auto iter = mCache.find(memory);
+ if (iter != mCache.end()) {
+ if (std::get<WeakCleanup>(iter->second).expired()) {
+ mCache.erase(iter);
+ }
+ }
+ }
+ kBurst->releaseMemoryResource(identifier);
+}
+
+nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(
+ std::shared_ptr<aidl_hal::IBurst> burst) {
+ if (burst == nullptr) {
+ return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
+ << "aidl_hal::utils::Burst::create must have non-null burst";
+ }
+
+ return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(burst));
+}
+
+Burst::Burst(PrivateConstructorTag /*tag*/, std::shared_ptr<aidl_hal::IBurst> burst)
+ : kBurst(std::move(burst)), kMemoryCache(std::make_shared<MemoryCache>(kBurst)) {
+ CHECK(kBurst != nullptr);
+}
+
+Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& memory) const {
+ auto [identifier, hold] = kMemoryCache->getOrCacheMemory(memory);
+ return hold;
+}
+
+nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const {
+ // Ensure that at most one execution is in flight at any given time.
+ const bool alreadyInFlight = mExecutionInFlight.test_and_set();
+ if (alreadyInFlight) {
+ return NN_ERROR() << "IBurst already has an execution in flight";
+ }
+ const auto guard = ::android::base::make_scope_guard([this] { mExecutionInFlight.clear(); });
+
+ // Ensure that request is ready for IPC.
+ std::optional<nn::Request> maybeRequestInShared;
+ const nn::Request& requestInShared = NN_TRY(hal::utils::makeExecutionFailure(
+ hal::utils::flushDataFromPointerToShared(&request, &maybeRequestInShared)));
+
+ const auto aidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
+ const auto aidlMeasure = NN_TRY(hal::utils::makeExecutionFailure(convert(measure)));
+ const auto aidlDeadline = NN_TRY(hal::utils::makeExecutionFailure(convert(deadline)));
+ const auto aidlLoopTimeoutDuration =
+ NN_TRY(hal::utils::makeExecutionFailure(convert(loopTimeoutDuration)));
+
+ std::vector<int64_t> memoryIdentifierTokens;
+ std::vector<OptionalCacheHold> holds;
+ memoryIdentifierTokens.reserve(request.pools.size());
+ holds.reserve(request.pools.size());
+ for (const auto& memoryPool : request.pools) {
+ if (const auto* memory = std::get_if<nn::SharedMemory>(&memoryPool)) {
+ if (auto cached = kMemoryCache->getMemoryIfAvailable(*memory)) {
+ auto& [identifier, hold] = *cached;
+ memoryIdentifierTokens.push_back(identifier);
+ holds.push_back(std::move(hold));
+ continue;
+ }
+ }
+ memoryIdentifierTokens.push_back(-1);
+ }
+ CHECK_EQ(request.pools.size(), memoryIdentifierTokens.size());
+
+ ExecutionResult executionResult;
+ const auto ret =
+ kBurst->executeSynchronously(aidlRequest, memoryIdentifierTokens, aidlMeasure,
+ aidlDeadline, aidlLoopTimeoutDuration, &executionResult);
+ HANDLE_ASTATUS(ret) << "execute failed";
+ if (!executionResult.outputSufficientSize) {
+ auto canonicalOutputShapes =
+ nn::convert(executionResult.outputShapes).value_or(std::vector<nn::OutputShape>{});
+ return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
+ << "execution failed with " << nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
+ }
+ auto [outputShapes, timing] = NN_TRY(hal::utils::makeExecutionFailure(
+ convertExecutionResults(executionResult.outputShapes, executionResult.timing)));
+
+ NN_TRY(hal::utils::makeExecutionFailure(
+ hal::utils::unflushDataFromSharedToPointer(request, maybeRequestInShared)));
+
+ return std::make_pair(std::move(outputShapes), timing);
+}
+
+} // namespace aidl::android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/aidl/utils/src/Conversions.cpp b/neuralnetworks/aidl/utils/src/Conversions.cpp
index c47ba0e..d5f7f81 100644
--- a/neuralnetworks/aidl/utils/src/Conversions.cpp
+++ b/neuralnetworks/aidl/utils/src/Conversions.cpp
@@ -41,6 +41,8 @@
#include <type_traits>
#include <utility>
+#include "Utils.h"
+
#define VERIFY_NON_NEGATIVE(value) \
while (UNLIKELY(value < 0)) return NN_ERROR()
@@ -53,7 +55,6 @@
return static_cast<std::underlying_type_t<Type>>(value);
}
-constexpr auto kVersion = android::nn::Version::ANDROID_S;
constexpr int64_t kNoTiming = -1;
} // namespace
@@ -63,32 +64,6 @@
using ::aidl::android::hardware::common::NativeHandle;
-constexpr auto validOperandType(nn::OperandType operandType) {
- switch (operandType) {
- case nn::OperandType::FLOAT32:
- case nn::OperandType::INT32:
- case nn::OperandType::UINT32:
- case nn::OperandType::TENSOR_FLOAT32:
- case nn::OperandType::TENSOR_INT32:
- case nn::OperandType::TENSOR_QUANT8_ASYMM:
- case nn::OperandType::BOOL:
- case nn::OperandType::TENSOR_QUANT16_SYMM:
- case nn::OperandType::TENSOR_FLOAT16:
- case nn::OperandType::TENSOR_BOOL8:
- case nn::OperandType::FLOAT16:
- case nn::OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:
- case nn::OperandType::TENSOR_QUANT16_ASYMM:
- case nn::OperandType::TENSOR_QUANT8_SYMM:
- case nn::OperandType::TENSOR_QUANT8_ASYMM_SIGNED:
- case nn::OperandType::SUBGRAPH:
- return true;
- case nn::OperandType::OEM:
- case nn::OperandType::TENSOR_OEM_BYTE:
- return false;
- }
- return nn::isExtension(operandType);
-}
-
template <typename Input>
using UnvalidatedConvertOutput =
std::decay_t<decltype(unvalidatedConvert(std::declval<Input>()).value())>;
@@ -113,14 +88,7 @@
template <typename Type>
GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& halObject) {
auto canonical = NN_TRY(nn::unvalidatedConvert(halObject));
- const auto maybeVersion = validate(canonical);
- if (!maybeVersion.has_value()) {
- return error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+ NN_TRY(aidl_hal::utils::compliantVersion(canonical));
return canonical;
}
@@ -185,13 +153,21 @@
GeneralResult<OperandType> unvalidatedConvert(const aidl_hal::OperandType& operandType) {
VERIFY_NON_NEGATIVE(underlyingType(operandType)) << "Negative operand types are not allowed.";
- return static_cast<OperandType>(operandType);
+ const auto canonical = static_cast<OperandType>(operandType);
+ if (canonical == OperandType::OEM || canonical == OperandType::TENSOR_OEM_BYTE) {
+ return NN_ERROR() << "Unable to convert invalid OperandType " << canonical;
+ }
+ return canonical;
}
GeneralResult<OperationType> unvalidatedConvert(const aidl_hal::OperationType& operationType) {
VERIFY_NON_NEGATIVE(underlyingType(operationType))
<< "Negative operation types are not allowed.";
- return static_cast<OperationType>(operationType);
+ const auto canonical = static_cast<OperationType>(operationType);
+ if (canonical == OperationType::OEM_OPERATION) {
+ return NN_ERROR() << "Unable to convert invalid OperationType OEM_OPERATION";
+ }
+ return canonical;
}
GeneralResult<DeviceType> unvalidatedConvert(const aidl_hal::DeviceType& deviceType) {
@@ -206,8 +182,7 @@
const bool validOperandTypes = std::all_of(
capabilities.operandPerformance.begin(), capabilities.operandPerformance.end(),
[](const aidl_hal::OperandPerformance& operandPerformance) {
- const auto maybeType = unvalidatedConvert(operandPerformance.type);
- return !maybeType.has_value() ? false : validOperandType(maybeType.value());
+ return validatedConvert(operandPerformance.type).has_value();
});
if (!validOperandTypes) {
return NN_ERROR() << "Invalid OperandType when unvalidatedConverting OperandPerformance in "
@@ -472,7 +447,7 @@
return BufferRole{
.modelIndex = static_cast<uint32_t>(bufferRole.modelIndex),
.ioIndex = static_cast<uint32_t>(bufferRole.ioIndex),
- .frequency = bufferRole.frequency,
+ .probability = bufferRole.probability,
};
}
@@ -534,6 +509,11 @@
return std::make_shared<const Handle>(NN_TRY(unvalidatedConvertHelper(aidlNativeHandle)));
}
+GeneralResult<std::vector<Operation>> unvalidatedConvert(
+ const std::vector<aidl_hal::Operation>& operations) {
+ return unvalidatedConvertVec(operations);
+}
+
GeneralResult<SyncFence> unvalidatedConvert(const ndk::ScopedFileDescriptor& syncFence) {
auto duplicatedFd = NN_TRY(dupFd(syncFence.get()));
return SyncFence::create(std::move(duplicatedFd));
@@ -564,22 +544,14 @@
return validatedConvert(model);
}
-GeneralResult<Operand> convert(const aidl_hal::Operand& operand) {
- return unvalidatedConvert(operand);
-}
-
GeneralResult<OperandType> convert(const aidl_hal::OperandType& operandType) {
- return unvalidatedConvert(operandType);
+ return validatedConvert(operandType);
}
GeneralResult<Priority> convert(const aidl_hal::Priority& priority) {
return validatedConvert(priority);
}
-GeneralResult<Request::MemoryPool> convert(const aidl_hal::RequestMemoryPool& memoryPool) {
- return unvalidatedConvert(memoryPool);
-}
-
GeneralResult<Request> convert(const aidl_hal::Request& request) {
return validatedConvert(request);
}
@@ -589,17 +561,13 @@
}
GeneralResult<SyncFence> convert(const ndk::ScopedFileDescriptor& syncFence) {
- return unvalidatedConvert(syncFence);
+ return validatedConvert(syncFence);
}
GeneralResult<std::vector<Extension>> convert(const std::vector<aidl_hal::Extension>& extension) {
return validatedConvert(extension);
}
-GeneralResult<std::vector<Operation>> convert(const std::vector<aidl_hal::Operation>& operations) {
- return unvalidatedConvert(operations);
-}
-
GeneralResult<std::vector<SharedMemory>> convert(const std::vector<aidl_hal::Memory>& memories) {
return validatedConvert(memories);
}
@@ -644,14 +612,7 @@
template <typename Type>
nn::GeneralResult<UnvalidatedConvertOutput<Type>> validatedConvert(const Type& canonical) {
- const auto maybeVersion = nn::validate(canonical);
- if (!maybeVersion.has_value()) {
- return nn::error() << maybeVersion.error();
- }
- const auto version = maybeVersion.value();
- if (version > kVersion) {
- return NN_ERROR() << "Insufficient version: " << version << " vs required " << kVersion;
- }
+ NN_TRY(compliantVersion(canonical));
return utils::unvalidatedConvert(canonical);
}
@@ -718,7 +679,7 @@
return BufferRole{
.modelIndex = static_cast<int32_t>(bufferRole.modelIndex),
.ioIndex = static_cast<int32_t>(bufferRole.ioIndex),
- .frequency = bufferRole.frequency,
+ .probability = bufferRole.probability,
};
}
@@ -797,6 +758,9 @@
}
nn::GeneralResult<OperandType> unvalidatedConvert(const nn::OperandType& operandType) {
+ if (operandType == nn::OperandType::OEM || operandType == nn::OperandType::TENSOR_OEM_BYTE) {
+ return NN_ERROR() << "Unable to convert invalid OperandType " << operandType;
+ }
return static_cast<OperandType>(operandType);
}
@@ -864,6 +828,9 @@
}
nn::GeneralResult<OperationType> unvalidatedConvert(const nn::OperationType& operationType) {
+ if (operationType == nn::OperationType::OEM_OPERATION) {
+ return NN_ERROR() << "Unable to convert invalid OperationType OEM_OPERATION";
+ }
return static_cast<OperationType>(operationType);
}
@@ -964,11 +931,12 @@
}
nn::GeneralResult<int64_t> unvalidatedConvert(const nn::Duration& duration) {
- const uint64_t nanoseconds = duration.count();
- if (nanoseconds > std::numeric_limits<int64_t>::max()) {
- return std::numeric_limits<int64_t>::max();
+ if (duration < nn::Duration::zero()) {
+ return NN_ERROR() << "Unable to convert invalid (negative) duration";
}
- return static_cast<int64_t>(nanoseconds);
+ constexpr std::chrono::nanoseconds::rep kIntMax = std::numeric_limits<int64_t>::max();
+ const auto count = duration.count();
+ return static_cast<int64_t>(std::min(count, kIntMax));
}
nn::GeneralResult<int64_t> unvalidatedConvert(const nn::OptionalDuration& optionalDuration) {
@@ -1004,7 +972,7 @@
}
nn::GeneralResult<std::vector<uint8_t>> convert(const nn::CacheToken& cacheToken) {
- return unvalidatedConvert(cacheToken);
+ return validatedConvert(cacheToken);
}
nn::GeneralResult<BufferDesc> convert(const nn::BufferDesc& bufferDesc) {
@@ -1076,7 +1044,7 @@
nn::GeneralResult<std::vector<ndk::ScopedFileDescriptor>> convert(
const std::vector<nn::SyncFence>& syncFences) {
- return unvalidatedConvert(syncFences);
+ return validatedConvert(syncFences);
}
nn::GeneralResult<std::vector<int32_t>> toSigned(const std::vector<uint32_t>& vec) {
diff --git a/neuralnetworks/aidl/utils/src/PreparedModel.cpp b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
index aee4d90..003965b 100644
--- a/neuralnetworks/aidl/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/aidl/utils/src/PreparedModel.cpp
@@ -16,9 +16,9 @@
#include "PreparedModel.h"
+#include "Burst.h"
#include "Callbacks.h"
#include "Conversions.h"
-#include "ProtectCallback.h"
#include "Utils.h"
#include <android/binder_auto_utils.h>
@@ -26,7 +26,6 @@
#include <nnapi/Result.h>
#include <nnapi/TypeUtils.h>
#include <nnapi/Types.h>
-#include <nnapi/hal/1.0/Burst.h>
#include <nnapi/hal/CommonUtils.h>
#include <nnapi/hal/HandleError.h>
@@ -161,7 +160,10 @@
}
nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
- return hal::V1_0::utils::Burst::create(shared_from_this());
+ std::shared_ptr<IBurst> burst;
+ const auto ret = kPreparedModel->configureExecutionBurst(&burst);
+ HANDLE_ASTATUS(ret) << "configureExecutionBurst failed";
+ return Burst::create(std::move(burst));
}
std::any PreparedModel::getUnderlyingResource() const {
diff --git a/neuralnetworks/aidl/utils/test/MockBuffer.h b/neuralnetworks/aidl/utils/test/MockBuffer.h
index 5746176..f77fa86 100644
--- a/neuralnetworks/aidl/utils/test/MockBuffer.h
+++ b/neuralnetworks/aidl/utils/test/MockBuffer.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BUFFER
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BUFFER
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BUFFER_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BUFFER_H
#include <aidl/android/hardware/neuralnetworks/BnBuffer.h>
#include <android/binder_interface_utils.h>
@@ -40,4 +40,4 @@
} // namespace aidl::android::hardware::neuralnetworks::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BUFFER
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BUFFER_H
diff --git a/neuralnetworks/aidl/utils/test/MockBurst.h b/neuralnetworks/aidl/utils/test/MockBurst.h
new file mode 100644
index 0000000..5083bbd
--- /dev/null
+++ b/neuralnetworks/aidl/utils/test/MockBurst.h
@@ -0,0 +1,41 @@
+/*
+ * Copyright (C) 2021 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BURST_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BURST_H
+
+#include <aidl/android/hardware/neuralnetworks/BnBurst.h>
+#include <android/binder_interface_utils.h>
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include <hidl/Status.h>
+
+namespace aidl::android::hardware::neuralnetworks::utils {
+
+class MockBurst final : public BnBurst {
+ public:
+ MOCK_METHOD(ndk::ScopedAStatus, executeSynchronously,
+ (const Request& request, const std::vector<int64_t>& memoryIdentifierTokens,
+ bool measureTiming, int64_t deadline, int64_t loopTimeoutDuration,
+ ExecutionResult* executionResult),
+ (override));
+ MOCK_METHOD(ndk::ScopedAStatus, releaseMemoryResource, (int64_t memoryIdentifierToken),
+ (override));
+};
+
+} // namespace aidl::android::hardware::neuralnetworks::utils
+
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_BURST_H
diff --git a/neuralnetworks/aidl/utils/test/MockDevice.h b/neuralnetworks/aidl/utils/test/MockDevice.h
index 9b35bf8..3a28d55 100644
--- a/neuralnetworks/aidl/utils/test/MockDevice.h
+++ b/neuralnetworks/aidl/utils/test/MockDevice.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_DEVICE_H
#include <aidl/android/hardware/neuralnetworks/BnDevice.h>
#include <android/binder_auto_utils.h>
@@ -64,4 +64,4 @@
} // namespace aidl::android::hardware::neuralnetworks::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_DEVICE
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/aidl/utils/test/MockFencedExecutionCallback.h b/neuralnetworks/aidl/utils/test/MockFencedExecutionCallback.h
index 463e1c9..06f9ea2 100644
--- a/neuralnetworks/aidl/utils/test/MockFencedExecutionCallback.h
+++ b/neuralnetworks/aidl/utils/test/MockFencedExecutionCallback.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK_H
#include <aidl/android/hardware/neuralnetworks/BnFencedExecutionCallback.h>
#include <android/binder_auto_utils.h>
@@ -42,4 +42,4 @@
} // namespace aidl::android::hardware::neuralnetworks::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_FENCED_EXECUTION_CALLBACK_H
diff --git a/neuralnetworks/aidl/utils/test/MockPreparedModel.h b/neuralnetworks/aidl/utils/test/MockPreparedModel.h
index 36e0ec3..a4ae2b7 100644
--- a/neuralnetworks/aidl/utils/test/MockPreparedModel.h
+++ b/neuralnetworks/aidl/utils/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_PREPARED_MODEL_H
#include <aidl/android/hardware/neuralnetworks/BnPreparedModel.h>
#include <android/binder_interface_utils.h>
@@ -49,4 +49,4 @@
} // namespace aidl::android::hardware::neuralnetworks::utils
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_PREPARED_MODEL
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_AIDL_UTILS_TEST_MOCK_PREPARED_MODEL_H
diff --git a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
index 7e28861..630a460 100644
--- a/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/aidl/utils/test/PreparedModelTest.cpp
@@ -14,6 +14,7 @@
* limitations under the License.
*/
+#include "MockBurst.h"
#include "MockFencedExecutionCallback.h"
#include "MockPreparedModel.h"
@@ -252,7 +253,71 @@
EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
}
-// TODO: test burst execution if/when it is added to nn::IPreparedModel.
+TEST(PreparedModelTest, configureExecutionBurst) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ const auto mockBurst = ndk::SharedRefBase::make<MockBurst>();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+ .Times(1)
+ .WillOnce(DoAll(SetArgPointee<0>(mockBurst), Invoke(makeStatusOk)));
+ const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_TRUE(result.has_value())
+ << "Failed with " << result.error().code << ": " << result.error().message;
+ EXPECT_NE(result.value(), nullptr);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstError) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeGeneralFailure));
+ const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstTransportFailure) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
+ const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
+TEST(PreparedModelTest, configureExecutionBurstDeadObject) {
+ // setup test
+ const auto mockPreparedModel = MockPreparedModel::create();
+ EXPECT_CALL(*mockPreparedModel, configureExecutionBurst(_))
+ .Times(1)
+ .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
+ const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
+
+ // run test
+ const auto result = preparedModel->configureExecutionBurst();
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::DEAD_OBJECT);
+}
TEST(PreparedModelTest, getUnderlyingResource) {
// setup test
diff --git a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
index 2dd02dd..1440429 100644
--- a/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/aidl/vts/functional/GeneratedTestHarness.cpp
@@ -102,7 +102,7 @@
ASSERT_NE(result, nullptr);
// Prepare arguments.
- BufferRole role = {.modelIndex = 0, .ioIndex = index, .frequency = 1.0f};
+ BufferRole role = {.modelIndex = 0, .ioIndex = index, .probability = 1.0f};
std::vector<BufferRole> inputRoles, outputRoles;
if constexpr (ioType == IOType::INPUT) {
inputRoles = {role};
diff --git a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
index 627c26a..596f8ae 100644
--- a/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
+++ b/neuralnetworks/aidl/vts/functional/MemoryDomainTests.cpp
@@ -337,18 +337,18 @@
const std::shared_ptr<IPreparedModel>& model2) {
validateAllocate({
.preparedModels = {model1, model2},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {model1, model2},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
- .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
+ .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {model1, model2},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
}
};
@@ -370,13 +370,13 @@
// Test with nullptr prepared model as input role.
validateAllocate({
.preparedModels = {nullptr},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
// Test with nullptr prepared model as output role.
validateAllocate({
.preparedModels = {nullptr},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -387,13 +387,13 @@
// Test with invalid prepared model as input role.
validateAllocate({
.preparedModels = {invalidPreparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
// Test with invalid prepared model as output role.
validateAllocate({
.preparedModels = {invalidPreparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -404,13 +404,13 @@
// This should fail, because the model index is out of bound.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
// This should fail, because the model index is out of bound.
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -421,30 +421,30 @@
// This should fail, because the model only has one input.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 1, .probability = 1.0f}},
});
// This should fail, because the model only has one output.
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 1, .probability = 1.0f}},
});
}
-TEST_P(MemoryDomainAllocateTest, InvalidFrequency) {
+TEST_P(MemoryDomainAllocateTest, InvalidProbability) {
auto preparedModel = createConvPreparedModel(kTestOperand);
if (preparedModel == nullptr) return;
for (float invalidFreq : {10.0f, 0.0f, -0.5f}) {
- // Test with invalid frequency for input roles.
+ // Test with invalid probability for input roles.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = invalidFreq}},
});
- // Test with invalid frequency for output roles.
+ // Test with invalid probability for output roles.
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = invalidFreq}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = invalidFreq}},
});
}
}
@@ -456,25 +456,25 @@
// Same role with same model index.
validateAllocate({
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
// Different model indexes, but logically referring to the same role.
validateAllocate({
.preparedModels = {preparedModel, preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.preparedModels = {preparedModel, preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f},
- {.modelIndex = 1, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f},
+ {.modelIndex = 1, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -553,12 +553,12 @@
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -572,12 +572,12 @@
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
validateAllocate({
.dimensions = badDimensions,
.preparedModels = {preparedModel},
- .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .frequency = 1.0f}},
+ .outputRoles = {{.modelIndex = 0, .ioIndex = 0, .probability = 1.0f}},
});
}
@@ -590,7 +590,7 @@
validateAllocate({
.dimensions = {1},
.preparedModels = {preparedModel},
- .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .frequency = 1.0f}},
+ .inputRoles = {{.modelIndex = 0, .ioIndex = 2, .probability = 1.0f}},
});
}
@@ -624,7 +624,7 @@
std::vector<BufferRole> inputRoles(inputIndexes.size()), outputRoles(outputIndexes.size());
auto trans = [](int32_t ind) -> BufferRole {
- return {.modelIndex = 0, .ioIndex = ind, .frequency = 1.0f};
+ return {.modelIndex = 0, .ioIndex = ind, .probability = 1.0f};
};
std::transform(inputIndexes.begin(), inputIndexes.end(), inputRoles.begin(), trans);
std::transform(outputIndexes.begin(), outputIndexes.end(), outputRoles.begin(), trans);
diff --git a/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp b/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
index 9ace1a9..e803e38 100644
--- a/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
+++ b/neuralnetworks/aidl/vts/functional/QualityOfServiceTests.cpp
@@ -14,10 +14,10 @@
* limitations under the License.
*/
+#include <android-base/chrono_utils.h>
#include <android/binder_enums.h>
#include <android/binder_interface_utils.h>
#include <android/binder_status.h>
-
#include <nnapi/hal/aidl/Conversions.h>
#include "Callbacks.h"
@@ -61,16 +61,16 @@
return std::chrono::duration_cast<std::chrono::nanoseconds>(timeSinceEpoch).count();
};
- std::chrono::steady_clock::time_point timePoint;
+ ::android::base::boot_clock::time_point timePoint;
switch (deadlineBoundType) {
case DeadlineBoundType::NOW:
- timePoint = std::chrono::steady_clock::now();
+ timePoint = ::android::base::boot_clock::now();
break;
case DeadlineBoundType::UNLIMITED:
- timePoint = std::chrono::steady_clock::time_point::max();
+ timePoint = ::android::base::boot_clock::time_point::max();
break;
case DeadlineBoundType::SHORT:
- timePoint = std::chrono::steady_clock::now() + kShortDuration;
+ timePoint = ::android::base::boot_clock::now() + kShortDuration;
break;
}
diff --git a/neuralnetworks/aidl/vts/functional/ValidateModel.cpp b/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
index 6d84e1e..94d3daf 100644
--- a/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/aidl/vts/functional/ValidateModel.cpp
@@ -1312,7 +1312,7 @@
void validateModel(const std::shared_ptr<IDevice>& device, const Model& model) {
const auto numberOfConsumers =
nn::countNumberOfConsumers(model.main.operands.size(),
- nn::convert(model.main.operations).value())
+ nn::unvalidatedConvert(model.main.operations).value())
.value();
mutateExecutionOrderTest(device, model, numberOfConsumers);
mutateOperandTypeTest(device, model);
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h b/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h
index 996858c..17b3fd9 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/InvalidBurst.h
@@ -32,7 +32,9 @@
OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
- const nn::Request& request, nn::MeasureTiming measure) const override;
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const override;
};
} // namespace android::hardware::neuralnetworks::utils
diff --git a/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h b/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h
index 3b87330..c92cc41 100644
--- a/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h
+++ b/neuralnetworks/utils/common/include/nnapi/hal/ResilientBurst.h
@@ -47,7 +47,9 @@
OptionalCacheHold cacheMemory(const nn::SharedMemory& memory) const override;
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
- const nn::Request& request, nn::MeasureTiming measure) const override;
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const override;
private:
const Factory kMakeBurst;
diff --git a/neuralnetworks/utils/common/src/InvalidBurst.cpp b/neuralnetworks/utils/common/src/InvalidBurst.cpp
index 81ca18d..0c34f05 100644
--- a/neuralnetworks/utils/common/src/InvalidBurst.cpp
+++ b/neuralnetworks/utils/common/src/InvalidBurst.cpp
@@ -32,7 +32,9 @@
}
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> InvalidBurst::execute(
- const nn::Request& /*request*/, nn::MeasureTiming /*measure*/) const {
+ const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
+ const nn::OptionalTimePoint& /*deadline*/,
+ const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
return NN_ERROR() << "InvalidBurst";
}
diff --git a/neuralnetworks/utils/common/src/ResilientBurst.cpp b/neuralnetworks/utils/common/src/ResilientBurst.cpp
index 5ca868b..38ccc62 100644
--- a/neuralnetworks/utils/common/src/ResilientBurst.cpp
+++ b/neuralnetworks/utils/common/src/ResilientBurst.cpp
@@ -100,9 +100,11 @@
}
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> ResilientBurst::execute(
- const nn::Request& request, nn::MeasureTiming measure) const {
- const auto fn = [&request, measure](const nn::IBurst& burst) {
- return burst.execute(request, measure);
+ const nn::Request& request, nn::MeasureTiming measure,
+ const nn::OptionalTimePoint& deadline,
+ const nn::OptionalDuration& loopTimeoutDuration) const {
+ const auto fn = [&request, measure, deadline, loopTimeoutDuration](const nn::IBurst& burst) {
+ return burst.execute(request, measure, deadline, loopTimeoutDuration);
};
return protect(*this, fn);
}
diff --git a/neuralnetworks/utils/common/test/MockBuffer.h b/neuralnetworks/utils/common/test/MockBuffer.h
index 59d5700..3599d0c 100644
--- a/neuralnetworks/utils/common/test/MockBuffer.h
+++ b/neuralnetworks/utils/common/test/MockBuffer.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_BUFFER
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_BUFFER
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_BUFFER_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_BUFFER_H
#include <gmock/gmock.h>
#include <gtest/gtest.h>
@@ -34,4 +34,4 @@
} // namespace android::nn
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_BUFFER
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_BUFFER_H
diff --git a/neuralnetworks/utils/common/test/MockDevice.h b/neuralnetworks/utils/common/test/MockDevice.h
index 5566968..b274716 100644
--- a/neuralnetworks/utils/common/test/MockDevice.h
+++ b/neuralnetworks/utils/common/test/MockDevice.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_DEVICE
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_DEVICE
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_DEVICE_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_DEVICE_H
#include <gmock/gmock.h>
#include <gtest/gtest.h>
@@ -55,4 +55,4 @@
} // namespace android::nn
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_DEVICE
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_DEVICE_H
diff --git a/neuralnetworks/utils/common/test/MockPreparedModel.h b/neuralnetworks/utils/common/test/MockPreparedModel.h
index 418af61..c004861 100644
--- a/neuralnetworks/utils/common/test/MockPreparedModel.h
+++ b/neuralnetworks/utils/common/test/MockPreparedModel.h
@@ -14,8 +14,8 @@
* limitations under the License.
*/
-#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_PREPARED_MODEL
-#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_PREPARED_MODEL
+#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_PREPARED_MODEL_H
+#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_PREPARED_MODEL_H
#include <gmock/gmock.h>
#include <gtest/gtest.h>
@@ -41,4 +41,4 @@
} // namespace android::nn
-#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_PREPARED_MODEL
+#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_TEST_MOCK_PREPARED_MODEL_H
diff --git a/security/keymint/aidl/Android.bp b/security/keymint/aidl/Android.bp
index 6766d99..0c11f3b 100644
--- a/security/keymint/aidl/Android.bp
+++ b/security/keymint/aidl/Android.bp
@@ -26,6 +26,7 @@
vndk: {
enabled: true,
},
+ apps_enabled: false,
},
rust: {
enabled: true,
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl
index 69ec4ce..b05a0f3 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/ErrorCode.aidl
@@ -118,6 +118,7 @@
MISSING_ISSUER_SUBJECT = -82,
INVALID_ISSUER_SUBJECT = -83,
BOOT_LEVEL_EXCEEDED = -84,
+ HARDWARE_NOT_YET_AVAILABLE = -85,
UNIMPLEMENTED = -100,
VERSION_MISMATCH = -101,
UNKNOWN_ERROR = -1000,
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl
index 4f6fb28..bf30999 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintDevice.aidl
@@ -33,7 +33,7 @@
package android.hardware.security.keymint;
/* @hide */
-@VintfStability
+@SensitiveData @VintfStability
interface IKeyMintDevice {
android.hardware.security.keymint.KeyMintHardwareInfo getHardwareInfo();
void addRngEntropy(in byte[] data);
diff --git a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl
index 5ac2b4a..4ab4ffe 100644
--- a/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl
+++ b/security/keymint/aidl/aidl_api/android.hardware.security.keymint/current/android/hardware/security/keymint/IKeyMintOperation.aidl
@@ -33,7 +33,7 @@
package android.hardware.security.keymint;
/* @hide */
-@VintfStability
+@SensitiveData @VintfStability
interface IKeyMintOperation {
void updateAad(in byte[] input, in @nullable android.hardware.security.keymint.HardwareAuthToken authToken, in @nullable android.hardware.security.secureclock.TimeStampToken timeStampToken);
byte[] update(in byte[] input, in @nullable android.hardware.security.keymint.HardwareAuthToken authToken, in @nullable android.hardware.security.secureclock.TimeStampToken timeStampToken);
diff --git a/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl b/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl
index 0e2c5f2..137e6b6 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/ErrorCode.aidl
@@ -107,6 +107,7 @@
MISSING_ISSUER_SUBJECT = -82,
INVALID_ISSUER_SUBJECT = -83,
BOOT_LEVEL_EXCEEDED = -84,
+ HARDWARE_NOT_YET_AVAILABLE = -85,
UNIMPLEMENTED = -100,
VERSION_MISMATCH = -101,
diff --git a/security/keymint/aidl/android/hardware/security/keymint/IKeyMintDevice.aidl b/security/keymint/aidl/android/hardware/security/keymint/IKeyMintDevice.aidl
index 17aab25..1c503c2 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/IKeyMintDevice.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/IKeyMintDevice.aidl
@@ -214,6 +214,7 @@
* @hide
*/
@VintfStability
+@SensitiveData
interface IKeyMintDevice {
const int AUTH_TOKEN_MAC_LENGTH = 32;
@@ -321,8 +322,8 @@
* but `attestationKey` is non-null, the IKeyMintDevice must return
* ErrorCode::INVALID_ARGUMENT. If the provided AttestationKey does not contain a key
* blob containing an asymmetric key with KeyPurpose::ATTEST_KEY, the IKeyMintDevice must
- * return ErrorCode::INVALID_PURPOSE. If the provided AttestationKey has an empty issuer
- * subject name, the IKeyMintDevice must return ErrorCode::INVALID_ARGUMENT.
+ * return ErrorCode::INCOMPATIBLE_PURPOSE. If the provided AttestationKey has an empty
+ * issuer subject name, the IKeyMintDevice must return ErrorCode::INVALID_ARGUMENT.
*
* @return The result of key creation. See KeyCreationResult.aidl.
*/
@@ -360,8 +361,8 @@
* but `attestationKey` is non-null, the IKeyMintDevice must return
* ErrorCode::INVALID_ARGUMENT. If the provided AttestationKey does not contain a key
* blob containing an asymmetric key with KeyPurpose::ATTEST_KEY, the IKeyMintDevice must
- * return ErrorCode::INVALID_PURPOSE. If the provided AttestationKey has an empty issuer
- * subject name, the IKeyMintDevice must return ErrorCode::INVALID_ARGUMENT.
+ * return ErrorCode::INCOMPATIBLE_PURPOSE. If the provided AttestationKey has an empty
+ * issuer subject name, the IKeyMintDevice must return ErrorCode::INVALID_ARGUMENT.
*
* @return The result of key creation. See KeyCreationResult.aidl.
*/
diff --git a/security/keymint/aidl/android/hardware/security/keymint/IKeyMintOperation.aidl b/security/keymint/aidl/android/hardware/security/keymint/IKeyMintOperation.aidl
index 5ad54cd..d2a993f 100644
--- a/security/keymint/aidl/android/hardware/security/keymint/IKeyMintOperation.aidl
+++ b/security/keymint/aidl/android/hardware/security/keymint/IKeyMintOperation.aidl
@@ -22,6 +22,7 @@
/** @hide */
@VintfStability
+@SensitiveData
interface IKeyMintOperation {
/**
* Provides additional authentication data (AAD) to a cryptographic operation begun with
diff --git a/security/keymint/aidl/vts/functional/AttestKeyTest.cpp b/security/keymint/aidl/vts/functional/AttestKeyTest.cpp
index 1e907db..daa3e18 100644
--- a/security/keymint/aidl/vts/functional/AttestKeyTest.cpp
+++ b/security/keymint/aidl/vts/functional/AttestKeyTest.cpp
@@ -207,6 +207,36 @@
}
}
+TEST_P(AttestKeyTest, AttestWithNonAttestKey) {
+ // Create non-attestaton key.
+ AttestationKey non_attest_key;
+ vector<KeyCharacteristics> non_attest_key_characteristics;
+ vector<Certificate> non_attest_key_cert_chain;
+ ASSERT_EQ(
+ ErrorCode::OK,
+ GenerateKey(
+ AuthorizationSetBuilder().EcdsaSigningKey(EcCurve::P_256).SetDefaultValidity(),
+ {} /* attestation siging key */, &non_attest_key.keyBlob,
+ &non_attest_key_characteristics, &non_attest_key_cert_chain));
+
+ EXPECT_EQ(non_attest_key_cert_chain.size(), 1);
+ EXPECT_TRUE(IsSelfSigned(non_attest_key_cert_chain));
+
+ // Attempt to sign attestation with non-attest key.
+ vector<uint8_t> attested_key_blob;
+ vector<KeyCharacteristics> attested_key_characteristics;
+ vector<Certificate> attested_key_cert_chain;
+ EXPECT_EQ(ErrorCode::INCOMPATIBLE_PURPOSE,
+ GenerateKey(AuthorizationSetBuilder()
+ .EcdsaSigningKey(EcCurve::P_256)
+ .Authorization(TAG_NO_AUTH_REQUIRED)
+ .AttestationChallenge("foo")
+ .AttestationApplicationId("bar")
+ .SetDefaultValidity(),
+ non_attest_key, &attested_key_blob, &attested_key_characteristics,
+ &attested_key_cert_chain));
+}
+
INSTANTIATE_KEYMINT_AIDL_TEST(AttestKeyTest);
} // namespace aidl::android::hardware::security::keymint::test
diff --git a/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h b/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h
index 86bc9c4..4d97ea9 100644
--- a/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h
+++ b/security/keymint/aidl/vts/functional/KeyMintAidlTestBase.h
@@ -284,7 +284,8 @@
#define INSTANTIATE_KEYMINT_AIDL_TEST(name) \
INSTANTIATE_TEST_SUITE_P(PerInstance, name, \
testing::ValuesIn(KeyMintAidlTestBase::build_params()), \
- ::android::PrintInstanceNameToString)
+ ::android::PrintInstanceNameToString); \
+ GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(name);
} // namespace test
diff --git a/security/secureclock/aidl/vts/functional/SecureClockAidlTest.cpp b/security/secureclock/aidl/vts/functional/SecureClockAidlTest.cpp
index 9ca1ee8..31f4854 100644
--- a/security/secureclock/aidl/vts/functional/SecureClockAidlTest.cpp
+++ b/security/secureclock/aidl/vts/functional/SecureClockAidlTest.cpp
@@ -185,9 +185,11 @@
INSTANTIATE_TEST_SUITE_P(PerInstance, SecureClockAidlTest,
testing::ValuesIn(SecureClockAidlTest::build_params()),
::android::PrintInstanceNameToString);
+GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(SecureClockAidlTest);
+
} // namespace aidl::android::hardware::security::secureclock::test
int main(int argc, char** argv) {
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
-}
\ No newline at end of file
+}