Memory Domain HAL: Define HAL APIs.
- Add and document memory domain HAL APIs.
- Make necessary changes to the existing VTS codes to make them work
with V1_3::Request.
Bug: 141353602
Bug: 141363565
Test: mma
Test: NNT_static
Test: 1.3 VTS
Change-Id: Ia32555d4fef149fad4a79728981c5d9cca675a1a
Merged-In: Ia32555d4fef149fad4a79728981c5d9cca675a1a
(cherry picked from commit 931d5a18bc7d1bcf72c105bf86f928ba2bd5a939)
diff --git a/current.txt b/current.txt
index 89a0cbc..523f408 100644
--- a/current.txt
+++ b/current.txt
@@ -622,10 +622,11 @@
27ae3724053940462114228872b3ffaf0b8e6177d5ba97f5a76339d12b8a99dd android.hardware.keymaster@4.1::IKeymasterDevice
adb0efdf1462e9b2e742c0dcadd598666aac551f178be06e755bfcdf5797abd0 android.hardware.keymaster@4.1::IOperation
ac429fca0da4ce91218768ec31b64ded88251f8a26d8c4f27c06abdc5b1926d9 android.hardware.keymaster@4.1::types
-9e59fffceed0dd72a9799e04505db5f777bbbea1af0695ba4107ef6d967c6fda android.hardware.neuralnetworks@1.3::IDevice
-258825966435b3ed08832055bb736d81516013e405f161d9ccde9a90cfcdde83 android.hardware.neuralnetworks@1.3::IPreparedModel
+4b5c8546533db9412fec6d32c0ef42b22e5e68dbf390c775ec3c22bb2d501102 android.hardware.neuralnetworks@1.3::IBuffer
+234cc547d63d2f24a447aee0a9a76cab68b31c080adadc5a960598b827a69fa2 android.hardware.neuralnetworks@1.3::IDevice
+058b48f0e2e725bb2b3fa2b7917b0f0a696383d03a4c57afe26f0eadb6a7af28 android.hardware.neuralnetworks@1.3::IPreparedModel
94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-f3c1e7298da628a755b452cd3325e8d0fe867a2debb873069baab6a27434a72d android.hardware.neuralnetworks@1.3::types
+2576ba54711218ce0d7f207baa533fca9af3c630756938ede6e73fe197b7ea38 android.hardware.neuralnetworks@1.3::types
3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant
44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface
diff --git a/neuralnetworks/1.3/Android.bp b/neuralnetworks/1.3/Android.bp
index 0b07a58..08e824d 100644
--- a/neuralnetworks/1.3/Android.bp
+++ b/neuralnetworks/1.3/Android.bp
@@ -8,6 +8,7 @@
},
srcs: [
"types.hal",
+ "IBuffer.hal",
"IDevice.hal",
"IPreparedModel.hal",
"IPreparedModelCallback.hal",
diff --git a/neuralnetworks/1.3/IBuffer.hal b/neuralnetworks/1.3/IBuffer.hal
new file mode 100644
index 0000000..84241c5
--- /dev/null
+++ b/neuralnetworks/1.3/IBuffer.hal
@@ -0,0 +1,57 @@
+/*
+ * Copyright (C) 2020 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.
+ */
+
+package android.hardware.neuralnetworks@1.3;
+
+import @1.0::ErrorStatus;
+
+/**
+ * This interface represents a device memory buffer.
+ */
+interface IBuffer {
+ /**
+ * Retrieves the content of this buffer to a shared memory region.
+ *
+ * The IBuffer object must have been initialized before the call to IBuffer::copyTo.
+ * For more information on the state of the IBuffer object, refer to IDevice::allocate.
+ *
+ * @param dst The destination shared memory region.
+ * @return status Error status of the call, must be:
+ * - NONE if successful
+ * - DEVICE_UNAVAILABLE if driver is offline or busy
+ * - GENERAL_FAILURE if the IBuffer object is uninitialized, or there is an unspecified
+ * error
+ * - INVALID_ARGUMENT if provided memory is invalid
+ */
+ copyTo(memory dst) generates (ErrorStatus status);
+
+ /**
+ * Sets the content of this buffer from a shared memory region.
+ *
+ * @param src The source shared memory region.
+ * @param dimensions Updated dimensional information. If the dimensions of the IBuffer object
+ * are not fully specified, then the dimensions must be fully specified here. If the
+ * dimensions of the IBuffer object are fully specified, then the dimensions may be empty
+ * here. If dimensions.size() > 0, then all dimensions must be specified here, and any
+ * dimension that was specified in the IBuffer object must have the same value here.
+ * @return status Error status of the call, must be:
+ * - NONE if successful
+ * - DEVICE_UNAVAILABLE if driver is offline or busy
+ * - GENERAL_FAILURE if there is an unspecified error
+ * - INVALID_ARGUMENT if provided memory is invalid, or if the dimensions is invalid
+ */
+ copyFrom(memory src, vec<uint32_t> dimensions) generates (ErrorStatus status);
+};
diff --git a/neuralnetworks/1.3/IDevice.hal b/neuralnetworks/1.3/IDevice.hal
index 1295d6a..9afd778 100644
--- a/neuralnetworks/1.3/IDevice.hal
+++ b/neuralnetworks/1.3/IDevice.hal
@@ -22,6 +22,12 @@
import @1.2::DeviceType;
import @1.2::Extension;
import @1.2::IDevice;
+import BufferDesc;
+import BufferRole;
+import Capabilities;
+import Model;
+import IBuffer;
+import IPreparedModel;
import IPreparedModelCallback;
/**
@@ -247,4 +253,61 @@
uint8_t[Constant:BYTE_SIZE_OF_CACHE_TOKEN] token,
IPreparedModelCallback callback)
generates (ErrorStatus status);
+
+ /**
+ * Allocates a driver-managed buffer with the properties specified by the buffer descriptor
+ * as well as the input and output roles.
+ *
+ * The allocate function must verify its inputs are correct. If there is an error, or if a
+ * certain role or property is not supported by the driver, the allocate
+ * function must return with an appropriate ErrorStatus, a nullptr as the IBuffer, and 0 as the
+ * buffer token. If the allocation is successful, this method must return with ErrorStatus::NONE
+ * and the produced IBuffer with a positive token identifying the allocated buffer. A successful
+ * allocation must accommodate all of the specified roles and buffer properties.
+ *
+ * The buffer is allocated to an uninitialized state. An uninitialized buffer may only be used
+ * in ways that are specified by outputRoles. A buffer is initialized after it is used as an
+ * output in a successful execution, or after a successful invocation of IBuffer::copyFrom on
+ * the buffer. An initialized buffer may be used according to all roles specified in inputRoles
+ * and outputRoles. A buffer will return to the uninitialized state if it is used as an output
+ * in a failed execution, or after a failed invocation of IBuffer::copyFrom on the buffer.
+ *
+ * The dimensions of the buffer can be deduced from the buffer descriptor as well as the
+ * dimensions of the corresponding model operands of the input and output roles. The dimensions
+ * or rank of the buffer may be unknown at this stage. As such, some driver services may only
+ * create a placeholder and defer the actual allocation until execution time. Note that the
+ * same buffer may be used for different shapes of outputs on different executions. When the
+ * buffer is used as an input, the input shape must be the same as the output shape from the
+ * last execution using this buffer as an output.
+ *
+ * The driver must apply proper validatation upon every usage of the buffer, and must fail the
+ * execution immediately if the usage is illegal.
+ *
+ * @param desc A buffer descriptor specifying the properties of the buffer to allocate.
+ * @param preparedModels A vector of IPreparedModel objects. Must only contain IPreparedModel
+ * objects from the same IDevice as this method is being invoked on.
+ * @param inputRoles A vector of roles with each specifying an input to a prepared model.
+ * @param outputRoles A vector of roles with each specifying an output to a prepared model.
+ * Each role specified in inputRoles and outputRoles must be unique. The corresponding
+ * model operands of the roles must have the same OperandType, scale, zero point, and
+ * ExtraParams. The dimensions of the operands and the dimensions specified in the buffer
+ * descriptor must be compatible with each other. Two dimensions are incompatible if there
+ * is at least one axis that is fully specified in both but has different values.
+ * @return status Error status of the buffer allocation. Must be:
+ * - NONE if successful
+ * - DEVICE_UNAVAILABLE if driver is offline or busy
+ * - GENERAL_FAILURE if a certain buffer property or a certain role is not supported,
+ * or if there is an unspecified error
+ * - INVALID_ARGUMENT if one of the input arguments is invalid
+ * @return buffer The allocated IBuffer object. If the buffer was unable to be allocated
+ * due to an error, nullptr must be returned.
+ * @return token A positive token identifying the allocated buffer. The same token will be
+ * provided when referencing the buffer as one of the memory pools in the request of an
+ * execution. The token must not collide with the tokens of other IBuffer objects that are
+ * currently alive in the same driver service. If the buffer was unable to be allocated
+ * due to an error, the token must be 0.
+ */
+ allocate(BufferDesc desc, vec<IPreparedModel> preparedModels, vec<BufferRole> inputRoles,
+ vec<BufferRole> outputRoles)
+ generates (ErrorStatus status, IBuffer buffer, int32_t token);
};
diff --git a/neuralnetworks/1.3/IPreparedModel.hal b/neuralnetworks/1.3/IPreparedModel.hal
index 7aea416..00adc1f 100644
--- a/neuralnetworks/1.3/IPreparedModel.hal
+++ b/neuralnetworks/1.3/IPreparedModel.hal
@@ -17,12 +17,12 @@
package android.hardware.neuralnetworks@1.3;
import @1.0::ErrorStatus;
-import @1.0::Request;
import @1.2::IExecutionCallback;
import @1.2::IPreparedModel;
import @1.2::MeasureTiming;
import @1.2::OutputShape;
import @1.2::Timing;
+import Request;
/**
* IPreparedModel describes a model that has been prepared for execution and
@@ -33,7 +33,8 @@
* Launches an asynchronous execution on a prepared model.
*
* The execution is performed asynchronously with respect to the caller.
- * execute_1_3 must verify the inputs to the function are correct. If there is
+ * execute_1_3 must verify the inputs to the function are correct, and the usages
+ * of memory pools allocated by IDevice::allocate are valid. If there is
* an error, execute_1_3 must immediately invoke the callback with the
* appropriate ErrorStatus value, then return with the same ErrorStatus. If
* the inputs to the function are valid and there is no error, execute_1_3 must
@@ -95,7 +96,8 @@
*
* The execution is performed synchronously with respect to the caller.
* executeSynchronously_1_3 must verify the inputs to the function are
- * correct. If there is an error, executeSynchronously_1_3 must immediately
+ * correct, and the usages of memory pools allocated by IDevice::allocate
+ * are valid. If there is an error, executeSynchronously_1_3 must immediately
* return with the appropriate ErrorStatus value. If the inputs to the
* function are valid and there is no error, executeSynchronously_1_3 must
* perform the execution, and must not return until the execution is
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index 62c5833..6c8fe43 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -19,6 +19,7 @@
import @1.0::DataLocation;
import @1.0::OperandLifeTime;
import @1.0::PerformanceInfo;
+import @1.0::RequestArgument;
import @1.2::OperandType;
import @1.2::OperationType;
import @1.2::SymmPerChannelQuantParams;
@@ -5205,3 +5206,92 @@
LOW_BITS_TYPE = 16,
};
};
+
+/**
+ * A buffer descriptor. Describes the properties of a buffer.
+ */
+struct BufferDesc {
+ /**
+ * Dimensions of the buffer. May have unknown dimensions or rank. A buffer with some number
+ * of unspecified dimensions is represented by setting each unspecified dimension to 0. A
+ * buffer with unspecified rank is represented by providing an empty dimensions vector.
+ */
+ vec<uint32_t> dimensions;
+};
+
+/**
+ * Describes a role of an input or output to a prepared model.
+ */
+struct BufferRole {
+ /**
+ * The index of the IPreparedModel within the "preparedModel" argument passed in
+ * IDevice::allocate.
+ */
+ uint32_t modelIndex;
+
+ /**
+ * The index of the input or output operand.
+ */
+ uint32_t ioIndex;
+
+ /**
+ * A floating-point value within the range (0.0, 1.0]. Describes how likely the
+ * buffer is to be 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;
+};
+
+/**
+ * Inputs to be sent to and outputs to be retrieved from a prepared model.
+ *
+ * A Request serves two primary tasks:
+ * 1) Provides the input and output data to be used when executing the model.
+ * 2) Specifies any updates to the input operand metadata that were left
+ * unspecified at model preparation time.
+ *
+ * An output must not overlap with any other output, with an input, or
+ * with an operand of lifetime CONSTANT_REFERENCE.
+ */
+struct Request {
+ /**
+ * Input data and information to be used in the execution of a prepared
+ * model.
+ *
+ * The index of the input corresponds to the index in Model.inputIndexes.
+ * E.g., input[i] corresponds to Model.inputIndexes[i].
+ */
+ vec<RequestArgument> inputs;
+
+ /**
+ * Output data and information to be used in the execution of a prepared
+ * model.
+ *
+ * The index of the output corresponds to the index in Model.outputIndexes.
+ * E.g., output[i] corresponds to Model.outputIndexes[i].
+ */
+ vec<RequestArgument> outputs;
+
+ /**
+ * A memory pool.
+ */
+ safe_union MemoryPool {
+ /**
+ * Specifies a client-managed shared memory pool.
+ */
+ memory hidlMemory;
+
+ /**
+ * Specifies a driver-managed buffer. It is the token returned from IDevice::allocate,
+ * and is specific to the IDevice object.
+ */
+ int32_t token;
+ };
+
+ /**
+ * A collection of memory pools containing operand data for both the
+ * inputs and the outputs to a model.
+ */
+ vec<MemoryPool> pools;
+};
diff --git a/neuralnetworks/1.3/types.t b/neuralnetworks/1.3/types.t
index 0d20d06..b1c72a9 100644
--- a/neuralnetworks/1.3/types.t
+++ b/neuralnetworks/1.3/types.t
@@ -21,6 +21,7 @@
import @1.0::DataLocation;
import @1.0::OperandLifeTime;
import @1.0::PerformanceInfo;
+import @1.0::RequestArgument;
import @1.2::OperandType;
import @1.2::OperationType;
import @1.2::SymmPerChannelQuantParams;
@@ -389,3 +390,92 @@
LOW_BITS_TYPE = 16,
};
};
+
+/**
+ * A buffer descriptor. Describes the properties of a buffer.
+ */
+struct BufferDesc {
+ /**
+ * Dimensions of the buffer. May have unknown dimensions or rank. A buffer with some number
+ * of unspecified dimensions is represented by setting each unspecified dimension to 0. A
+ * buffer with unspecified rank is represented by providing an empty dimensions vector.
+ */
+ vec<uint32_t> dimensions;
+};
+
+/**
+ * Describes a role of an input or output to a prepared model.
+ */
+struct BufferRole {
+ /**
+ * The index of the IPreparedModel within the "preparedModel" argument passed in
+ * IDevice::allocate.
+ */
+ uint32_t modelIndex;
+
+ /**
+ * The index of the input or output operand.
+ */
+ uint32_t ioIndex;
+
+ /**
+ * A floating-point value within the range (0.0, 1.0]. Describes how likely the
+ * buffer is to be 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;
+};
+
+/**
+ * Inputs to be sent to and outputs to be retrieved from a prepared model.
+ *
+ * A Request serves two primary tasks:
+ * 1) Provides the input and output data to be used when executing the model.
+ * 2) Specifies any updates to the input operand metadata that were left
+ * unspecified at model preparation time.
+ *
+ * An output must not overlap with any other output, with an input, or
+ * with an operand of lifetime CONSTANT_REFERENCE.
+ */
+struct Request {
+ /**
+ * Input data and information to be used in the execution of a prepared
+ * model.
+ *
+ * The index of the input corresponds to the index in Model.inputIndexes.
+ * E.g., input[i] corresponds to Model.inputIndexes[i].
+ */
+ vec<RequestArgument> inputs;
+
+ /**
+ * Output data and information to be used in the execution of a prepared
+ * model.
+ *
+ * The index of the output corresponds to the index in Model.outputIndexes.
+ * E.g., output[i] corresponds to Model.outputIndexes[i].
+ */
+ vec<RequestArgument> outputs;
+
+ /**
+ * A memory pool.
+ */
+ safe_union MemoryPool {
+ /**
+ * Specifies a client-managed shared memory pool.
+ */
+ memory hidlMemory;
+
+ /**
+ * Specifies a driver-managed buffer. It is the token returned from IDevice::allocate,
+ * and is specific to the IDevice object.
+ */
+ int32_t token;
+ };
+
+ /**
+ * A collection of memory pools containing operand data for both the
+ * inputs and the outputs to a model.
+ */
+ vec<MemoryPool> pools;
+};
diff --git a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
index eced063..09ccc9a 100644
--- a/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
@@ -60,7 +60,6 @@
using V1_0::DataLocation;
using V1_0::ErrorStatus;
using V1_0::OperandLifeTime;
-using V1_0::Request;
using V1_1::ExecutionPreference;
using V1_2::Constant;
using V1_2::MeasureTiming;
@@ -192,7 +191,7 @@
return byteSize > 1u;
}
-static void makeOutputInsufficientSize(uint32_t outputIndex, Request* request) {
+static void makeOutputInsufficientSize(uint32_t outputIndex, V1_0::Request* request) {
auto& length = request->outputs[outputIndex].location.length;
ASSERT_GT(length, 1u);
length -= 1u;
@@ -245,10 +244,11 @@
return;
}
- Request request = createRequest(testModel);
+ V1_0::Request request10 = createRequest(testModel);
if (testConfig.outputType == OutputType::INSUFFICIENT) {
- makeOutputInsufficientSize(/*outputIndex=*/0, &request);
+ makeOutputInsufficientSize(/*outputIndex=*/0, &request10);
}
+ Request request = nn::convertToV1_3(request10);
ErrorStatus executionStatus;
hidl_vec<OutputShape> outputShapes;
@@ -284,6 +284,8 @@
break;
}
case Executor::BURST: {
+ // TODO(butlermichael): Check if we need to test burst in V1_3 if the interface remains
+ // V1_2.
SCOPED_TRACE("burst");
// create burst
@@ -292,15 +294,15 @@
ASSERT_NE(nullptr, controller.get());
// create memory keys
- std::vector<intptr_t> keys(request.pools.size());
+ std::vector<intptr_t> keys(request10.pools.size());
for (size_t i = 0; i < keys.size(); ++i) {
- keys[i] = reinterpret_cast<intptr_t>(&request.pools[i]);
+ keys[i] = reinterpret_cast<intptr_t>(&request10.pools[i]);
}
// execute burst
int n;
std::tie(n, outputShapes, timing, std::ignore) =
- controller->compute(request, testConfig.measureTiming, keys);
+ controller->compute(request10, testConfig.measureTiming, keys);
executionStatus = nn::convertResultCodeToErrorStatus(n);
break;
@@ -361,7 +363,7 @@
}
// Retrieve execution results.
- const std::vector<TestBuffer> outputs = getOutputBuffers(request);
+ const std::vector<TestBuffer> outputs = getOutputBuffers(request10);
// We want "close-enough" results.
checkResults(testModel, outputs);
diff --git a/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
index 8092d04..96dc589 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
@@ -28,7 +28,6 @@
namespace android::hardware::neuralnetworks::V1_3::vts::functional {
using V1_0::ErrorStatus;
-using V1_0::Request;
using V1_2::MeasureTiming;
using V1_2::OutputShape;
using V1_2::Timing;
@@ -93,9 +92,13 @@
}
// burst
+ // TODO(butlermichael): Check if we need to test burst in V1_3 if the interface remains V1_2.
{
SCOPED_TRACE(message + " [burst]");
+ ASSERT_TRUE(nn::compliantWithV1_0(request));
+ V1_0::Request request10 = nn::convertToV1_0(request);
+
// create burst
std::shared_ptr<::android::nn::ExecutionBurstController> burst =
android::nn::ExecutionBurstController::create(preparedModel,
@@ -103,13 +106,13 @@
ASSERT_NE(nullptr, burst.get());
// create memory keys
- std::vector<intptr_t> keys(request.pools.size());
+ std::vector<intptr_t> keys(request10.pools.size());
for (size_t i = 0; i < keys.size(); ++i) {
- keys[i] = reinterpret_cast<intptr_t>(&request.pools[i]);
+ keys[i] = reinterpret_cast<intptr_t>(&request10.pools[i]);
}
// execute and verify
- const auto [n, outputShapes, timing, fallback] = burst->compute(request, measure, keys);
+ const auto [n, outputShapes, timing, fallback] = burst->compute(request10, measure, keys);
const ErrorStatus status = nn::convertResultCodeToErrorStatus(n);
EXPECT_EQ(ErrorStatus::INVALID_ARGUMENT, status);
EXPECT_EQ(outputShapes.size(), 0);
@@ -117,7 +120,7 @@
EXPECT_FALSE(fallback);
// additional burst testing
- if (request.pools.size() > 0) {
+ if (request10.pools.size() > 0) {
// valid free
burst->freeMemory(keys.front());
diff --git a/neuralnetworks/1.3/vts/functional/VtsHalNeuralnetworks.cpp b/neuralnetworks/1.3/vts/functional/VtsHalNeuralnetworks.cpp
index 92d8fa7..1140b68 100644
--- a/neuralnetworks/1.3/vts/functional/VtsHalNeuralnetworks.cpp
+++ b/neuralnetworks/1.3/vts/functional/VtsHalNeuralnetworks.cpp
@@ -25,6 +25,7 @@
#include "1.3/Callbacks.h"
#include "GeneratedTestHarness.h"
#include "TestHarness.h"
+#include "Utils.h"
namespace android::hardware::neuralnetworks::V1_3::vts::functional {
@@ -32,7 +33,6 @@
hidl_array<uint8_t, static_cast<uint32_t>(V1_2::Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
using implementation::PreparedModelCallback;
using V1_0::ErrorStatus;
-using V1_0::Request;
using V1_1::ExecutionPreference;
// internal helper function
@@ -124,9 +124,9 @@
// Forward declaration from ValidateModel.cpp
void validateModel(const sp<IDevice>& device, const Model& model);
// Forward declaration from ValidateRequest.cpp
-void validateRequest(const sp<IPreparedModel>& preparedModel, const V1_0::Request& request);
+void validateRequest(const sp<IPreparedModel>& preparedModel, const Request& request);
// Forward declaration from ValidateRequest.cpp
-void validateRequestFailure(const sp<IPreparedModel>& preparedModel, const V1_0::Request& request);
+void validateRequestFailure(const sp<IPreparedModel>& preparedModel, const Request& request);
// Forward declaration from ValidateBurst.cpp
void validateBurst(const sp<IPreparedModel>& preparedModel, const V1_0::Request& request);
@@ -139,7 +139,11 @@
if (preparedModel == nullptr) return;
validateRequest(preparedModel, request);
- validateBurst(preparedModel, request);
+
+ // TODO(butlermichael): Check if we need to test burst in V1_3 if the interface remains V1_2.
+ ASSERT_TRUE(nn::compliantWithV1_0(request));
+ V1_0::Request request10 = nn::convertToV1_0(request);
+ validateBurst(preparedModel, request10);
}
void validateFailure(const sp<IDevice>& device, const Model& model, const Request& request) {
@@ -157,7 +161,7 @@
TEST_P(ValidationTest, Test) {
const Model model = createModel(kTestModel);
- const Request request = createRequest(kTestModel);
+ const Request request = nn::convertToV1_3(createRequest(kTestModel));
if (kTestModel.expectFailure) {
validateFailure(kDevice, model, request);
} else {