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diff --git a/runtimes/tests/neural_networks_test/TestValidation.cpp b/runtimes/tests/neural_networks_test/TestValidation.cpp
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+++ b/runtimes/tests/neural_networks_test/TestValidation.cpp
@@ -0,0 +1,489 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (C) 2017 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 "NeuralNetworks.h"
+#if 0 // TODO-NNRT : Enable if we support OEM, shared memory
+#include "NeuralNetworksOEM.h"
+#include <android/sharedmem.h>
+#endif
+#include <gtest/gtest.h>
+#include <string>
+#include <sys/mman.h>
+// This file tests all the validations done by the Neural Networks API.
+namespace {
+class ValidationTest : public ::testing::Test {
+protected:
+ virtual void SetUp() {}
+};
+class ValidationTestModel : public ValidationTest {
+protected:
+ virtual void SetUp() {
+ ValidationTest::SetUp();
+ ASSERT_EQ(ANeuralNetworksModel_create(&mModel), ANEURALNETWORKS_NO_ERROR);
+ }
+ virtual void TearDown() {
+ ANeuralNetworksModel_free(mModel);
+ ValidationTest::TearDown();
+ }
+ ANeuralNetworksModel* mModel = nullptr;
+};
+class ValidationTestIdentify : public ValidationTestModel {
+ virtual void SetUp() {
+ ValidationTestModel::SetUp();
+ uint32_t dimensions[]{1};
+ ANeuralNetworksOperandType tensorType{.type = ANEURALNETWORKS_TENSOR_FLOAT32,
+ .dimensionCount = 1,
+ .dimensions = dimensions};
+ ANeuralNetworksOperandType scalarType{.type = ANEURALNETWORKS_INT32,
+ .dimensionCount = 0,
+ .dimensions = nullptr};
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &tensorType), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &tensorType), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &scalarType), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &tensorType), ANEURALNETWORKS_NO_ERROR);
+ uint32_t inList[3]{0, 1, 2};
+ uint32_t outList[1]{3};
+ ASSERT_EQ(ANeuralNetworksModel_addOperation(mModel, ANEURALNETWORKS_ADD, 3, inList, 1,
+ outList),
+ ANEURALNETWORKS_NO_ERROR);
+ }
+ virtual void TearDown() {
+ ValidationTestModel::TearDown();
+ }
+};
+class ValidationTestCompilation : public ValidationTestModel {
+protected:
+ virtual void SetUp() {
+ ValidationTestModel::SetUp();
+ uint32_t dimensions[]{1};
+ ANeuralNetworksOperandType tensorType{.type = ANEURALNETWORKS_TENSOR_FLOAT32,
+ .dimensionCount = 1,
+ .dimensions = dimensions};
+ ANeuralNetworksOperandType scalarType{.type = ANEURALNETWORKS_INT32,
+ .dimensionCount = 0,
+ .dimensions = nullptr};
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &tensorType), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &tensorType), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &scalarType), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_addOperand(mModel, &tensorType), ANEURALNETWORKS_NO_ERROR);
+ uint32_t inList[3]{0, 1, 2};
+ uint32_t outList[1]{3};
+ ASSERT_EQ(ANeuralNetworksModel_addOperation(mModel, ANEURALNETWORKS_ADD, 3, inList, 1,
+ outList),
+ ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 3, inList, 1, outList),
+ ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_finish(mModel), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksCompilation_create(mModel, &mCompilation),
+ ANEURALNETWORKS_NO_ERROR);
+ }
+ virtual void TearDown() {
+ ANeuralNetworksCompilation_free(mCompilation);
+ ValidationTestModel::TearDown();
+ }
+ ANeuralNetworksCompilation* mCompilation = nullptr;
+};
+class ValidationTestExecution : public ValidationTestCompilation {
+protected:
+ virtual void SetUp() {
+ ValidationTestCompilation::SetUp();
+ ASSERT_EQ(ANeuralNetworksCompilation_finish(mCompilation), ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksExecution_create(mCompilation, &mExecution),
+ ANEURALNETWORKS_NO_ERROR);
+ }
+ virtual void TearDown() {
+ ANeuralNetworksExecution_free(mExecution);
+ ValidationTestCompilation::TearDown();
+ }
+ ANeuralNetworksExecution* mExecution = nullptr;
+};
+TEST_F(ValidationTest, CreateModel) {
+ EXPECT_EQ(ANeuralNetworksModel_create(nullptr), ANEURALNETWORKS_UNEXPECTED_NULL);
+}
+TEST_F(ValidationTestModel, AddOperand) {
+ ANeuralNetworksOperandType floatType{
+ .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr};
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(nullptr, &floatType),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, nullptr), ANEURALNETWORKS_UNEXPECTED_NULL);
+ ANeuralNetworksOperandType quant8TypeInvalidScale{
+ .type = ANEURALNETWORKS_TENSOR_QUANT8_ASYMM,
+ .dimensionCount = 0,
+ .dimensions = nullptr,
+ // Scale has to be non-negative
+ .scale = -1.0f,
+ .zeroPoint = 0,
+ };
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &quant8TypeInvalidScale),
+ ANEURALNETWORKS_BAD_DATA);
+ ANeuralNetworksOperandType quant8TypeInvalidZeroPoint{
+ .type = ANEURALNETWORKS_TENSOR_QUANT8_ASYMM,
+ .dimensionCount = 0,
+ .dimensions = nullptr,
+ .scale = 1.0f,
+ // zeroPoint has to be in [0, 255]
+ .zeroPoint = -1,
+ };
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &quant8TypeInvalidZeroPoint),
+ ANEURALNETWORKS_BAD_DATA);
+ uint32_t dim = 2;
+ ANeuralNetworksOperandType invalidScalarType{
+ .type = ANEURALNETWORKS_INT32,
+ // scalar types can only 0 dimensions.
+ .dimensionCount = 1,
+ .dimensions = &dim,
+ };
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &invalidScalarType),
+ ANEURALNETWORKS_BAD_DATA);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &floatType),
+ ANEURALNETWORKS_BAD_STATE);
+}
+TEST_F(ValidationTestModel, SetOperandValue) {
+ ANeuralNetworksOperandType floatType{
+ .type = ANEURALNETWORKS_FLOAT32, .dimensionCount = 0, .dimensions = nullptr};
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &floatType), ANEURALNETWORKS_NO_ERROR);
+ char buffer[20];
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(nullptr, 0, buffer, sizeof(buffer)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 0, nullptr, sizeof(buffer)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ // This should fail, since buffer is not the size of a float32.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 0, buffer, sizeof(buffer)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should succeed.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 0, buffer, sizeof(float)),
+ ANEURALNETWORKS_NO_ERROR);
+ // This should fail, as this operand does not exist.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 1, buffer, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 0, buffer, sizeof(float)),
+ ANEURALNETWORKS_BAD_STATE);
+}
+#if 0 // TODO-NNRT : Enable if we support 'ASharedMemory_create'
+TEST_F(ValidationTestModel, SetOperandValueFromMemory) {
+ uint32_t dimensions[]{1};
+ ANeuralNetworksOperandType floatType{
+ .type = ANEURALNETWORKS_TENSOR_FLOAT32,
+ .dimensionCount = 1,
+ .dimensions = dimensions};
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &floatType), ANEURALNETWORKS_NO_ERROR);
+ const size_t memorySize = 20;
+ int memoryFd = ASharedMemory_create("nnMemory", memorySize);
+ ASSERT_GT(memoryFd, 0);
+ ANeuralNetworksMemory* memory;
+ EXPECT_EQ(ANeuralNetworksMemory_createFromFd(memorySize, PROT_READ | PROT_WRITE,
+ memoryFd, 0, &memory),
+ ANEURALNETWORKS_NO_ERROR);
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(nullptr, 0,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, 0,
+ nullptr, 0, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ // This should fail, since the operand does not exist.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, -1,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since memory is not the size of a float32.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, 0,
+ memory, 0, memorySize),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, as this operand does not exist.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, 1,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since offset is larger than memorySize.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, 0,
+ memory, memorySize + 1,
+ sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since requested size is larger than the memory.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, 0,
+ memory, memorySize - 3,
+ sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValueFromMemory(mModel, 0,
+ memory, 0,
+ sizeof(float)),
+ ANEURALNETWORKS_BAD_STATE);
+}
+#endif // TODO-NNRT
+#if 0 // TODO-NNRT : Enable if we support OEM OP.
+TEST_F(ValidationTestModel, AddOEMOperand) {
+ ANeuralNetworksOperandType OEMScalarType{
+ .type = ANEURALNETWORKS_OEM_SCALAR, .dimensionCount = 0, .dimensions = nullptr};
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &OEMScalarType), ANEURALNETWORKS_NO_ERROR);
+ char buffer[20];
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 0, buffer, sizeof(buffer)),
+ ANEURALNETWORKS_NO_ERROR);
+ const size_t kByteSizeOfOEMTensor = 4;
+ uint32_t dimensions[]{kByteSizeOfOEMTensor};
+ ANeuralNetworksOperandType OEMTensorType{
+ .type = ANEURALNETWORKS_TENSOR_OEM_BYTE,
+ .dimensionCount = 1,
+ .dimensions = dimensions};
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &OEMTensorType), ANEURALNETWORKS_NO_ERROR);
+ EXPECT_EQ(ANeuralNetworksModel_setOperandValue(mModel, 1, buffer, kByteSizeOfOEMTensor),
+ ANEURALNETWORKS_NO_ERROR);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_addOperand(mModel, &OEMTensorType), ANEURALNETWORKS_BAD_STATE);
+}
+#endif // TODO-NNRT
+TEST_F(ValidationTestModel, AddOperation) {
+ uint32_t input = 0;
+ uint32_t output = 0;
+ EXPECT_EQ(ANeuralNetworksModel_addOperation(nullptr, ANEURALNETWORKS_AVERAGE_POOL_2D, 1, &input,
+ 1, &output),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_addOperation(mModel, ANEURALNETWORKS_AVERAGE_POOL_2D, 0, nullptr,
+ 1, &output),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_addOperation(mModel, ANEURALNETWORKS_AVERAGE_POOL_2D, 1, &input,
+ 0, nullptr),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ ANeuralNetworksOperationType invalidOp = -1;
+ EXPECT_EQ(ANeuralNetworksModel_addOperation(mModel, invalidOp, 1, &input,
+ 1, &output),
+ ANEURALNETWORKS_BAD_DATA);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_addOperation(mModel, ANEURALNETWORKS_AVERAGE_POOL_2D, 1, &input,
+ 1, &output),
+ ANEURALNETWORKS_BAD_STATE);
+}
+TEST_F(ValidationTestModel, IdentifyInputsAndOutputs) {
+ uint32_t input = 0;
+ uint32_t output = 0;
+ EXPECT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(nullptr, 1, &input, 1, &output),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 0, nullptr, 1, &output),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 1, &input, 0, nullptr),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 1, &input, 1, &output),
+ ANEURALNETWORKS_BAD_STATE);
+}
+#if 0 // TODO-NNRT : Enable if we support 'RelaxComputationFloat32toFloat16'
+TEST_F(ValidationTestModel, RelaxComputationFloat32toFloat16) {
+ EXPECT_EQ(ANeuralNetworksModel_relaxComputationFloat32toFloat16(nullptr, true),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ ANeuralNetworksModel_finish(mModel);
+ // This should fail, as the model is already finished.
+ EXPECT_EQ(ANeuralNetworksModel_relaxComputationFloat32toFloat16(mModel, true),
+ ANEURALNETWORKS_BAD_STATE);
+ EXPECT_EQ(ANeuralNetworksModel_relaxComputationFloat32toFloat16(mModel, false),
+ ANEURALNETWORKS_BAD_STATE);
+}
+#endif
+TEST_F(ValidationTestModel, Finish) {
+ EXPECT_EQ(ANeuralNetworksModel_finish(nullptr), ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksModel_finish(mModel), ANEURALNETWORKS_NO_ERROR);
+ EXPECT_EQ(ANeuralNetworksModel_finish(mModel), ANEURALNETWORKS_BAD_STATE);
+}
+TEST_F(ValidationTestModel, CreateCompilation) {
+ ANeuralNetworksCompilation* compilation = nullptr;
+ EXPECT_EQ(ANeuralNetworksCompilation_create(nullptr, &compilation),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksCompilation_create(mModel, nullptr), ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksCompilation_create(mModel, &compilation), ANEURALNETWORKS_BAD_STATE);
+}
+TEST_F(ValidationTestIdentify, Ok) {
+ uint32_t inList[3]{0, 1, 2};
+ uint32_t outList[1]{3};
+ ASSERT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 3, inList, 1, outList),
+ ANEURALNETWORKS_NO_ERROR);
+ ASSERT_EQ(ANeuralNetworksModel_finish(mModel), ANEURALNETWORKS_NO_ERROR);
+}
+TEST_F(ValidationTestIdentify, InputIsOutput) {
+ uint32_t inList[3]{0, 1, 2};
+ uint32_t outList[2]{3, 0};
+ ASSERT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 3, inList, 2, outList),
+ ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestIdentify, OutputIsInput) {
+ uint32_t inList[4]{0, 1, 2, 3};
+ uint32_t outList[1]{3};
+ ASSERT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 4, inList, 1, outList),
+ ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestIdentify, DuplicateInputs) {
+ uint32_t inList[4]{0, 1, 2, 0};
+ uint32_t outList[1]{3};
+ ASSERT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 4, inList, 1, outList),
+ ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestIdentify, DuplicateOutputs) {
+ uint32_t inList[3]{0, 1, 2};
+ uint32_t outList[2]{3, 3};
+ ASSERT_EQ(ANeuralNetworksModel_identifyInputsAndOutputs(mModel, 3, inList, 2, outList),
+ ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestCompilation, SetPreference) {
+ EXPECT_EQ(ANeuralNetworksCompilation_setPreference(nullptr, ANEURALNETWORKS_PREFER_LOW_POWER),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksCompilation_setPreference(mCompilation, 40), ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestCompilation, CreateExecution) {
+ ANeuralNetworksExecution* execution = nullptr;
+ EXPECT_EQ(ANeuralNetworksExecution_create(nullptr, &execution),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, nullptr),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, &execution),
+ ANEURALNETWORKS_BAD_STATE);
+}
+TEST_F(ValidationTestCompilation, Finish) {
+ EXPECT_EQ(ANeuralNetworksCompilation_finish(nullptr), ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksCompilation_finish(mCompilation), ANEURALNETWORKS_NO_ERROR);
+ EXPECT_EQ(ANeuralNetworksCompilation_setPreference(mCompilation,
+ ANEURALNETWORKS_PREFER_FAST_SINGLE_ANSWER),
+ ANEURALNETWORKS_BAD_STATE);
+ EXPECT_EQ(ANeuralNetworksCompilation_finish(mCompilation), ANEURALNETWORKS_BAD_STATE);
+}
+TEST_F(ValidationTestExecution, SetInput) {
+ ANeuralNetworksExecution* execution;
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, &execution), ANEURALNETWORKS_NO_ERROR);
+ char buffer[20];
+ EXPECT_EQ(ANeuralNetworksExecution_setInput(nullptr, 0, nullptr, buffer, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, 0, nullptr, nullptr, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ // This should fail, since memory is not the size of a float32.
+ EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, 0, nullptr, buffer, 20),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, as this operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, 999, nullptr, buffer, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, as this operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setInput(execution, -1, nullptr, buffer, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestExecution, SetOutput) {
+ ANeuralNetworksExecution* execution;
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, &execution), ANEURALNETWORKS_NO_ERROR);
+ char buffer[20];
+ EXPECT_EQ(ANeuralNetworksExecution_setOutput(nullptr, 0, nullptr, buffer, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_setOutput(execution, 0, nullptr, nullptr, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ // This should fail, since memory is not the size of a float32.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutput(execution, 0, nullptr, buffer, 20),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, as this operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutput(execution, 999, nullptr, buffer, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, as this operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutput(execution, -1, nullptr, buffer, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+}
+#if 0 // TODO-NNRT : Enable if we support 'ASharedMemory_create'
+TEST_F(ValidationTestExecution, SetInputFromMemory) {
+ ANeuralNetworksExecution* execution;
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, &execution), ANEURALNETWORKS_NO_ERROR);
+ const size_t memorySize = 20;
+ int memoryFd = ASharedMemory_create("nnMemory", memorySize);
+ ASSERT_GT(memoryFd, 0);
+ ANeuralNetworksMemory* memory;
+ EXPECT_EQ(ANeuralNetworksMemory_createFromFd(memorySize, PROT_READ | PROT_WRITE,
+ memoryFd, 0, &memory),
+ ANEURALNETWORKS_NO_ERROR);
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(nullptr, 0, nullptr,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(execution, 0, nullptr,
+ nullptr, 0, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ // This should fail, since the operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(execution, 999, nullptr,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since the operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(execution, -1, nullptr,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since memory is not the size of a float32.
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(execution, 0, nullptr,
+ memory, 0, memorySize),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since offset is larger than memorySize.
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(execution, 0, nullptr,
+ memory, memorySize + 1, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since requested size is larger than the memory.
+ EXPECT_EQ(ANeuralNetworksExecution_setInputFromMemory(execution, 0, nullptr,
+ memory, memorySize - 3, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+}
+TEST_F(ValidationTestExecution, SetOutputFromMemory) {
+ ANeuralNetworksExecution* execution;
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, &execution), ANEURALNETWORKS_NO_ERROR);
+ const size_t memorySize = 20;
+ int memoryFd = ASharedMemory_create("nnMemory", memorySize);
+ ASSERT_GT(memoryFd, 0);
+ ANeuralNetworksMemory* memory;
+ EXPECT_EQ(ANeuralNetworksMemory_createFromFd(memorySize, PROT_READ | PROT_WRITE,
+ memoryFd, 0, &memory),
+ ANEURALNETWORKS_NO_ERROR);
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(nullptr, 0, nullptr,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(execution, 0, nullptr,
+ nullptr, 0, sizeof(float)),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ // This should fail, since the operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(execution, 999, nullptr,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since the operand does not exist.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(execution, -1, nullptr,
+ memory, 0, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since memory is not the size of a float32.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(execution, 0, nullptr,
+ memory, 0, memorySize),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since offset is larger than memorySize.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(execution, 0, nullptr,
+ memory, memorySize + 1, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+ // This should fail, since requested size is larger than the memory.
+ EXPECT_EQ(ANeuralNetworksExecution_setOutputFromMemory(execution, 0, nullptr,
+ memory, memorySize - 3, sizeof(float)),
+ ANEURALNETWORKS_BAD_DATA);
+}
+#endif // TODO-NNRT
+TEST_F(ValidationTestExecution, StartCompute) {
+ ANeuralNetworksExecution* execution;
+ EXPECT_EQ(ANeuralNetworksExecution_create(mCompilation, &execution), ANEURALNETWORKS_NO_ERROR);
+ ANeuralNetworksEvent* event;
+ EXPECT_EQ(ANeuralNetworksExecution_startCompute(nullptr, &event),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+ EXPECT_EQ(ANeuralNetworksExecution_startCompute(execution, nullptr),
+ ANEURALNETWORKS_UNEXPECTED_NULL);
+}
+TEST_F(ValidationTestExecution, EventWait) {
+ EXPECT_EQ(ANeuralNetworksEvent_wait(nullptr), ANEURALNETWORKS_UNEXPECTED_NULL);
+}
+} // namespace