| /* | |
| * Copyright (C) 2018 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 "OperationsUtils.cpp" | |
| #include <gmock/gmock-matchers.h> | |
| #include <gtest/gtest.h> | |
| namespace android { | |
| namespace nn { | |
| namespace wrapper { | |
| namespace { | |
| using ::testing::ElementsAreArray; | |
| } // namespace | |
| TEST(CalculateBroadcastedShapeTest, Basic) { | |
| Shape shape1; | |
| Shape shape2; | |
| shape1.dimensions = {4, 3, 2, 1}; | |
| shape2.dimensions = {3, 1, 5}; | |
| Shape expectedOutputShape; | |
| expectedOutputShape.dimensions = {4, 3, 2, 5}; | |
| Shape actualOutputShape; | |
| EXPECT_TRUE(calculateBroadcastedShape(shape1, shape2, &actualOutputShape)); | |
| EXPECT_THAT(actualOutputShape.dimensions, ElementsAreArray(expectedOutputShape.dimensions)); | |
| EXPECT_TRUE(calculateBroadcastedShape(shape2, shape1, &actualOutputShape)); | |
| EXPECT_THAT(actualOutputShape.dimensions, ElementsAreArray(expectedOutputShape.dimensions)); | |
| } | |
| TEST(CalculateBroadcastedShapeTest, FailsOnIncompatible) { | |
| Shape shape1; | |
| Shape shape2; | |
| shape1.dimensions = {5}; | |
| shape2.dimensions = {3}; | |
| Shape actualOutputShape; | |
| EXPECT_FALSE(calculateBroadcastedShape(shape1, shape2, &actualOutputShape)); | |
| EXPECT_FALSE(calculateBroadcastedShape(shape2, shape1, &actualOutputShape)); | |
| } | |
| static int32_t getExtensionType(uint16_t extensionPrefix, uint16_t typeWithinExtension) { | |
| constexpr uint8_t kLowBitsType = | |
| static_cast<uint8_t>(Model::ExtensionTypeEncoding::LOW_BITS_TYPE); | |
| int32_t type = (extensionPrefix << kLowBitsType) | typeWithinExtension; | |
| EXPECT_TRUE(isExtensionOperandType(static_cast<OperandType>(type))); | |
| return type; | |
| } | |
| TEST(TensorHasUnspecifiedDimensionsTest, ExtensionTensorWithUnspecifiedRank) { | |
| // Regression test for b/124285861. | |
| EXPECT_TRUE(tensorHasUnspecifiedDimensions(getExtensionType(1, 0), /*dim=*/nullptr, | |
| /*dimCount=*/0)); | |
| } | |
| TEST(ValidateOperandTypeTest, ExtensionTensorWithUnspecifiedRank) { | |
| // Regression test for b/124104123. | |
| constexpr uint16_t kExtensionPrefix = 1; | |
| constexpr uint16_t kTypeWithinExtension = 0; | |
| int32_t extensionType = getExtensionType(kExtensionPrefix, kTypeWithinExtension); | |
| ANeuralNetworksOperandType type = { | |
| .type = extensionType, | |
| .dimensionCount = 0, | |
| .dimensions = nullptr, | |
| }; | |
| Extension::OperandTypeInformation info = { | |
| .type = kTypeWithinExtension, | |
| .isTensor = true, | |
| .byteSize = 4, | |
| }; | |
| EXPECT_EQ(validateOperandType(type, &info, /*tag=*/"test", /*allowPartial=*/true), | |
| ANEURALNETWORKS_NO_ERROR); | |
| EXPECT_EQ(validateOperandType(type, &info, /*tag=*/"test", /*allowPartial=*/false), | |
| ANEURALNETWORKS_BAD_DATA); | |
| } | |
| } // namespace wrapper | |
| } // namespace nn | |
| } // namespace android |