wehub-resource-sync
265 lines
12 KiB
C++
265 lines
12 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <stdint.h>
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#include <initializer_list>
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#include <memory>
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#include <vector>
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#include "Eigen/Core"
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/kernels/test_util.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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#include "tensorflow/lite/types/half.h"
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namespace tflite {
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namespace {
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using ::testing::ElementsAreArray;
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template <class T>
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class MaxMinOpModel : public SingleOpModel {
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public:
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MaxMinOpModel(tflite::BuiltinOperator op, const TensorData& input1,
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const TensorData& input2, const TensorType& output) {
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input1_ = AddInput(input1);
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input2_ = AddInput(input2);
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output_ = AddOutput(output);
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SetBuiltinOp(op, BuiltinOptions_MaximumMinimumOptions,
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CreateMaximumMinimumOptions(builder_).Union());
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BuildInterpreter({GetShape(input1_), GetShape(input2_)});
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}
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MaxMinOpModel(tflite::BuiltinOperator op, const TensorData& input1,
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const TensorData& input2, const std::vector<T>& input2_values,
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const TensorType& output) {
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input1_ = AddInput(input1);
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input2_ = AddConstInput<T>(input2, input2_values);
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output_ = AddOutput(output);
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SetBuiltinOp(op, BuiltinOptions_MaximumMinimumOptions,
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CreateMaximumMinimumOptions(builder_).Union());
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BuildInterpreter({GetShape(input1_), GetShape(input2_)});
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}
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void SetInput1(const std::vector<T>& data) { PopulateTensor(input1_, data); }
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void SetInput2(const std::vector<T>& data) { PopulateTensor(input2_, data); }
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std::vector<T> GetOutput() { return ExtractVector<T>(output_); }
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std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
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protected:
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int input1_;
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int input2_;
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int output_;
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};
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template <typename data_type>
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void TestModel(tflite::BuiltinOperator op, const TensorData& input1,
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const TensorData& input2, const TensorData& output,
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const std::vector<float>& input1_values,
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const std::vector<float>& input2_values,
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const std::vector<float>& output_values,
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int is_constant = false) {
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std::unique_ptr<MaxMinOpModel<data_type>> m;
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if (is_constant) {
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m = std::make_unique<MaxMinOpModel<data_type>>(
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op, input1, input2, ToVector<data_type>(input2_values), output.type);
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} else {
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m = std::make_unique<MaxMinOpModel<data_type>>(op, input1, input2,
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output.type);
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m->SetInput2(ToVector<data_type>(input2_values));
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}
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m->SetInput1(ToVector<data_type>(input1_values));
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TFLITE_INVOKE_AND_CHECK(data_type, m.get());
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EXPECT_THAT(m->GetOutputShape(), ElementsAreArray(output.shape));
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EXPECT_THAT(m->GetOutput(), ElementsAreArray(ArrayFloatNear(
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ToVector<float>(output_values),
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NumericLimits<data_type>::epsilon())));
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}
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template <typename T>
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class FloatMaxMinTest : public ::testing::Test {};
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using FloatMaxMinTestTypes = ::testing::Types<float, half, Eigen::bfloat16>;
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TYPED_TEST_SUITE(FloatMaxMinTest, FloatMaxMinTestTypes);
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TYPED_TEST(FloatMaxMinTest, FloatTest) {
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using T = TypeParam;
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std::vector<float> data1 = {1.0, 0.0, -1.0, 11.0, -2.0, -1.44};
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std::vector<float> data2 = {-1.0, 0.0, 1.0, 12.0, -3.0, -1.43};
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TestModel<T>(BuiltinOperator_MAXIMUM, {GetTensorType<T>(), {3, 1, 2}},
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{GetTensorType<T>(), {3, 1, 2}}, {GetTensorType<T>(), {3, 1, 2}},
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data1, data2, {1.0, 0.0, 1.0, 12.0, -2.0, -1.43});
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TestModel<T>(BuiltinOperator_MINIMUM, {GetTensorType<T>(), {3, 1, 2}},
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{GetTensorType<T>(), {3, 1, 2}}, {GetTensorType<T>(), {3, 1, 2}},
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data1, data2, {-1.0, 0.0, -1.0, 11.0, -3.0, -1.44});
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}
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TEST(MaxMinOpTest, Uint8Test) {
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std::vector<float> data1 = {1, 0, 2, 11, 2, 23};
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std::vector<float> data2 = {0, 0, 1, 12, 255, 1};
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TestModel<uint8_t>(BuiltinOperator_MAXIMUM, {TensorType_UINT8, {3, 1, 2}},
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{TensorType_UINT8, {3, 1, 2}},
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{TensorType_UINT8, {3, 1, 2}}, data1, data2,
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{1, 0, 2, 12, 255, 23});
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TestModel<uint8_t>(BuiltinOperator_MINIMUM, {TensorType_UINT8, {3, 1, 2}},
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{TensorType_UINT8, {3, 1, 2}},
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{TensorType_UINT8, {3, 1, 2}}, data1, data2,
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{0, 0, 1, 11, 2, 1});
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}
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TEST(MaxMinOpTest, Int8Test) {
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std::vector<float> data1 = {1, 0, 2, 11, 2, 23};
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std::vector<float> data2 = {0, 0, 1, 12, 123, 1};
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TestModel<int8_t>(BuiltinOperator_MAXIMUM, {TensorType_INT8, {3, 1, 2}},
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{TensorType_INT8, {3, 1, 2}}, {TensorType_INT8, {3, 1, 2}},
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data1, data2, {1, 0, 2, 12, 123, 23});
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TestModel<int8_t>(BuiltinOperator_MINIMUM, {TensorType_INT8, {3, 1, 2}},
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{TensorType_INT8, {3, 1, 2}}, {TensorType_INT8, {3, 1, 2}},
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data1, data2, {0, 0, 1, 11, 2, 1});
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}
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TEST(MaxMinOpTest, Int16Test) {
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std::vector<float> data1 = {-32768, 0, 2, 11, 2, 23};
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std::vector<float> data2 = {0, 0, 1, 32767, 123, 1};
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TestModel<int16_t>(BuiltinOperator_MAXIMUM, {TensorType_INT16, {3, 1, 2}},
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{TensorType_INT16, {3, 1, 2}},
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{TensorType_INT16, {3, 1, 2}}, data1, data2,
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{0, 0, 2, 32767, 123, 23});
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TestModel<int16_t>(BuiltinOperator_MINIMUM, {TensorType_INT16, {3, 1, 2}},
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{TensorType_INT16, {3, 1, 2}},
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{TensorType_INT16, {3, 1, 2}}, data1, data2,
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{-32768, 0, 1, 11, 2, 1});
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}
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TYPED_TEST(FloatMaxMinTest, WithBroadcastTest) {
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using T = TypeParam;
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std::vector<float> data1 = {1.0, 0.0, -1.0, -2.0, -1.44, 11.0};
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std::vector<float> data2 = {0.5, 2.0};
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TestModel<T>(BuiltinOperator_MAXIMUM, {GetTensorType<T>(), {3, 1, 2}},
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{GetTensorType<T>(), {2}}, {GetTensorType<T>(), {3, 1, 2}},
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data1, data2, {1.0, 2.0, 0.5, 2.0, 0.5, 11.0});
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TestModel<T>(BuiltinOperator_MINIMUM, {GetTensorType<T>(), {3, 1, 2}},
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{GetTensorType<T>(), {2}}, {GetTensorType<T>(), {3, 1, 2}},
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data1, data2, {0.5, 0.0, -1.0, -2.0, -1.44, 2.0});
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}
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TYPED_TEST(FloatMaxMinTest, WithBroadcastTest_ScalarY) {
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using T = TypeParam;
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std::vector<float> data1 = {1.0, 0.0, -1.0, -2.0, -1.44, 11.0};
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std::vector<float> data2 = {0.5};
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TestModel<T>(BuiltinOperator_MAXIMUM, {GetTensorType<T>(), {3, 1, 2}},
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{GetTensorType<T>(), {}}, {GetTensorType<T>(), {3, 1, 2}}, data1,
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data2, {1.0, 0.5, 0.5, 0.5, 0.5, 11.0},
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/*is_constant=*/true);
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TestModel<T>(BuiltinOperator_MINIMUM, {GetTensorType<T>(), {3, 1, 2}},
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{GetTensorType<T>(), {}}, {GetTensorType<T>(), {3, 1, 2}}, data1,
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data2, {0.5, 0.0, -1.0, -2.0, -1.44, 0.5},
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/*is_constant=*/true);
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}
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TEST(MaximumOpTest, Int32WithBroadcastTest) {
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std::vector<float> data1 = {1, 0, -1, -2, 3, 11};
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std::vector<float> data2 = {2};
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TestModel<int32_t>(BuiltinOperator_MAXIMUM, {TensorType_INT32, {3, 1, 2}},
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{TensorType_INT32, {1}}, {TensorType_INT32, {3, 1, 2}},
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data1, data2, {2, 2, 2, 2, 3, 11});
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TestModel<int32_t>(BuiltinOperator_MINIMUM, {TensorType_INT32, {3, 1, 2}},
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{TensorType_INT32, {1}}, {TensorType_INT32, {3, 1, 2}},
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data1, data2, {1, 0, -1, -2, 2, 2});
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}
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TEST(MaximumOpTest, Int32WithBroadcastRankSix) {
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std::vector<float> data1 = {1, 2, 3, 4, 5, 6, 7, 8};
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std::vector<float> data2 = {3, 4};
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TestModel<int32_t>(
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BuiltinOperator_MAXIMUM, {TensorType_INT32, {1, 2, 1, 1, 2, 2}},
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{TensorType_INT32, {1, 1, 2}}, {TensorType_INT32, {1, 2, 1, 1, 2, 2}},
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data1, data2, {3, 4, 3, 4, 5, 6, 7, 8});
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TestModel<int32_t>(
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BuiltinOperator_MINIMUM, {TensorType_INT32, {1, 2, 1, 1, 2, 2}},
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{TensorType_INT32, {1, 1, 2}}, {TensorType_INT32, {1, 2, 1, 1, 2, 2}},
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data1, data2, {1, 2, 3, 4, 3, 4, 3, 4});
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}
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TEST(MaximumOpTest, Int32WithBroadcastTest_ScalarY) {
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std::vector<float> data1 = {1, 0, -1, -2, 3, 11};
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std::vector<float> data2 = {2};
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TestModel<int32_t>(BuiltinOperator_MAXIMUM, {TensorType_INT32, {3, 1, 2}},
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{TensorType_INT32, {}}, {TensorType_INT32, {3, 1, 2}},
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data1, data2, {2, 2, 2, 2, 3, 11}, /*is_constant=*/true);
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TestModel<int32_t>(BuiltinOperator_MINIMUM, {TensorType_INT32, {3, 1, 2}},
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{TensorType_INT32, {}}, {TensorType_INT32, {3, 1, 2}},
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data1, data2, {1, 0, -1, -2, 2, 2}, /*is_constant=*/true);
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}
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TEST(MaximumOpTest, Int8WithBroadcastTest_ScalarY) {
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std::vector<float> data1 = {1, 0, -1, -2, 3, 11};
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std::vector<float> data2 = {2};
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TestModel<int8_t>(BuiltinOperator_MAXIMUM, {TensorType_INT8, {3, 1, 2}},
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{TensorType_INT8, {}}, {TensorType_INT8, {3, 1, 2}}, data1,
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data2, {2, 2, 2, 2, 3, 11}, /*is_constant=*/true);
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TestModel<int8_t>(BuiltinOperator_MINIMUM, {TensorType_INT8, {3, 1, 2}},
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{TensorType_INT8, {}}, {TensorType_INT8, {3, 1, 2}}, data1,
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data2, {1, 0, -1, -2, 2, 2}, /*is_constant=*/true);
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}
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TEST(MaxMinOpTest, Int8Test8D) {
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std::vector<float> data1 = {1, 0, 2, 11, 2, 23};
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std::vector<float> data2 = {0, 0, 1, 12, 123, 1};
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TestModel<int8_t>(BuiltinOperator_MAXIMUM,
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{TensorType_INT8, {3, 1, 2, 1, 1, 1, 1, 1}},
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{TensorType_INT8, {3, 1, 2, 1, 1, 1, 1, 1}},
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{TensorType_INT8, {3, 1, 2, 1, 1, 1, 1, 1}}, data1, data2,
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{1, 0, 2, 12, 123, 23});
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TestModel<int8_t>(BuiltinOperator_MINIMUM,
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{TensorType_INT8, {3, 1, 2, 1, 1, 1, 1, 1}},
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{TensorType_INT8, {3, 1, 2, 1, 1, 1, 1, 1}},
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{TensorType_INT8, {3, 1, 2, 1, 1, 1, 1, 1}}, data1, data2,
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{0, 0, 1, 11, 2, 1});
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}
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TYPED_TEST(FloatMaxMinTest, WithBroadcastTest5D) {
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using T = TypeParam;
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std::vector<float> data1 = {1.0, 0.0, -1.0, -2.0, -1.44, 11.0};
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std::vector<float> data2 = {0.5, 2.0};
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TestModel<T>(BuiltinOperator_MAXIMUM, {GetTensorType<T>(), {3, 1, 1, 1, 2}},
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{GetTensorType<T>(), {2}}, {GetTensorType<T>(), {3, 1, 1, 1, 2}},
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data1, data2, {1.0, 2.0, 0.5, 2.0, 0.5, 11.0});
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TestModel<T>(BuiltinOperator_MINIMUM, {GetTensorType<T>(), {3, 1, 1, 1, 2}},
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{GetTensorType<T>(), {2}}, {GetTensorType<T>(), {3, 1, 1, 1, 2}},
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data1, data2, {0.5, 0.0, -1.0, -2.0, -1.44, 2.0});
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}
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TEST(MaximumOpTest, Int32WithBroadcastTest5D) {
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std::vector<float> data1 = {1, 0, -1, -2, 3, 11};
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std::vector<float> data2 = {2};
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TestModel<int32_t>(
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BuiltinOperator_MAXIMUM, {TensorType_INT32, {3, 1, 2, 1, 1}},
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{TensorType_INT32, {1}}, {TensorType_INT32, {3, 1, 2, 1, 1}}, data1,
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data2, {2, 2, 2, 2, 3, 11});
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TestModel<int32_t>(
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BuiltinOperator_MINIMUM, {TensorType_INT32, {3, 1, 2, 1, 1}},
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{TensorType_INT32, {1}}, {TensorType_INT32, {3, 1, 2, 1, 1}}, data1,
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data2, {1, 0, -1, -2, 2, 2});
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}
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} // namespace
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} // namespace tflite
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