wehub-resource-sync
69 lines
2.6 KiB
C++
69 lines
2.6 KiB
C++
/* Copyright 2019 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 <vector>
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include "flatbuffers/flatbuffers.h" // from @flatbuffers
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#include "tensorflow/lite/kernels/add_n_test_common.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::ElementsAreArray;
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TEST(FloatAddNOpModel, AddMultipleTensors) {
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FloatAddNOpModel m({{TensorType_FLOAT32, {1, 2, 2, 1}},
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{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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m.PopulateTensor<float>(m.input(0), {-2.0, 0.2, 0.7, 0.8});
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m.PopulateTensor<float>(m.input(1), {0.1, 0.2, 0.3, 0.5});
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m.PopulateTensor<float>(m.input(2), {0.5, 0.1, 0.1, 0.2});
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ASSERT_EQ(m.Invoke(), kTfLiteOk);
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EXPECT_THAT(m.GetOutput(),
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Pointwise(FloatingPointEq(), {-1.4, 0.5, 1.1, 1.5}));
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}
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TEST(FloatAddNOpModel, Add2Tensors) {
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FloatAddNOpModel m(
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{{TensorType_FLOAT32, {1, 2, 2, 1}}, {TensorType_FLOAT32, {1, 2, 2, 1}}},
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{TensorType_FLOAT32, {}});
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m.PopulateTensor<float>(m.input(0), {-2.0, 0.2, 0.7, 0.8});
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m.PopulateTensor<float>(m.input(1), {0.1, 0.2, 0.3, 0.5});
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ASSERT_EQ(m.Invoke(), kTfLiteOk);
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EXPECT_THAT(m.GetOutput(),
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Pointwise(FloatingPointEq(), {-1.9, 0.4, 1.0, 1.3}));
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}
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TEST(IntegerAddNOpModel, AddMultipleTensors) {
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IntegerAddNOpModel m({{TensorType_INT32, {1, 2, 2, 1}},
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{TensorType_INT32, {1, 2, 2, 1}},
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{TensorType_INT32, {1, 2, 2, 1}}},
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{TensorType_INT32, {}});
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m.PopulateTensor<int32_t>(m.input(0), {-20, 2, 7, 8});
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m.PopulateTensor<int32_t>(m.input(1), {1, 2, 3, 5});
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m.PopulateTensor<int32_t>(m.input(2), {10, -5, 1, -2});
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ASSERT_EQ(m.Invoke(), kTfLiteOk);
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EXPECT_THAT(m.GetOutput(), ElementsAreArray({-9, -1, 11, 11}));
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}
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} // namespace
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} // namespace tflite
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