wehub-resource-sync
65 lines
2.1 KiB
C++
65 lines
2.1 KiB
C++
/* Copyright 2023 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 <vector>
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/c/c_api_types.h"
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/core/subgraph.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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namespace tflite {
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namespace {
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using ::testing::ElementsAre;
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class AddOpModel : public SingleOpModel {
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public:
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AddOpModel(const TensorData& input1, const TensorData& input2,
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const TensorData& 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(BuiltinOperator_STABLEHLO_ADD, BuiltinOptions_NONE, 0);
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SetBypassDefaultDelegates();
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BuildInterpreter({GetShape(input1_), GetShape(input2_)});
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}
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int input1() { return input1_; }
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int input2() { return input2_; }
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std::vector<float> GetOutput() { return ExtractVector<float>(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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TEST(StablehloElementwise, AddWorks) {
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AddOpModel model({TensorType_FLOAT32, {1, 2, 2, 1}},
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{TensorType_FLOAT32, {1, 2, 2, 1}},
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{TensorType_FLOAT32, {}});
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model.PopulateTensor<float>(model.input1(), {-2.0, 0.2, 0.7, 0.8});
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model.PopulateTensor<float>(model.input2(), {0.1, 0.2, 0.3, 0.5});
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ASSERT_EQ(model.Invoke(), kTfLiteOk);
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EXPECT_THAT(model.GetOutput(), ElementsAre(-1.9, 0.4, 1.0, 1.3));
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}
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} // namespace
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} // namespace tflite
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