79 lines
2.8 KiB
C++
79 lines
2.8 KiB
C++
/* Copyright 2022 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 "tensorflow/lite/c/builtin_op_data.h"
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#include "tensorflow/lite/c/common.h"
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#include "tensorflow/lite/micro/kernels/kernel_runner.h"
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#include "tensorflow/lite/micro/micro_arena_constants.h"
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#include "tensorflow/lite/micro/micro_interpreter.h"
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#include "tensorflow/lite/micro/mock_micro_graph.h"
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#include "tensorflow/lite/micro/test_helper_custom_ops.h"
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#include "tensorflow/lite/micro/test_helpers.h"
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#include "tensorflow/lite/micro/testing/micro_test.h"
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TF_LITE_MICRO_TESTS_BEGIN
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TF_LITE_MICRO_TEST(WhileShouldNeverInvokeConditionFalse) {
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constexpr int kArenaSize = 5000;
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uint8_t arena[kArenaSize];
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const tflite::Model* model =
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tflite::testing::GetSimpleModelWithSubgraphsAndWhile();
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tflite::MicroMutableOpResolver<3> resolver;
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resolver.AddWhile();
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resolver.AddAdd();
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resolver.AddLess();
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tflite::MicroInterpreter interpreter(model, resolver, arena, kArenaSize);
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TF_LITE_MICRO_EXPECT_EQ(kTfLiteOk, interpreter.AllocateTensors());
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TfLiteTensor* input0 = interpreter.input(0);
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TfLiteTensor* input1 = interpreter.input(1);
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TfLiteTensor* output0 = interpreter.output(0);
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TfLiteTensor* output1 = interpreter.output(1);
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input0->data.f[0] = 3.0f;
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input1->data.f[0] = 2.0f;
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interpreter.Invoke();
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TF_LITE_MICRO_EXPECT_EQ(output0->data.f[0], 3.0f);
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TF_LITE_MICRO_EXPECT_EQ(output1->data.f[0], 2.0f);
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}
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TF_LITE_MICRO_TEST(WhileShouldInvokeOnce) {
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constexpr int kArenaSize = 5000;
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uint8_t arena[kArenaSize];
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const tflite::Model* model =
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tflite::testing::GetSimpleModelWithSubgraphsAndWhile();
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tflite::MicroMutableOpResolver<3> resolver;
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resolver.AddWhile();
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resolver.AddAdd();
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resolver.AddLess();
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tflite::MicroInterpreter interpreter(model, resolver, arena, kArenaSize);
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TF_LITE_MICRO_EXPECT_EQ(kTfLiteOk, interpreter.AllocateTensors());
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TfLiteTensor* input0 = interpreter.input(0);
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TfLiteTensor* input1 = interpreter.input(1);
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TfLiteTensor* output0 = interpreter.output(0);
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TfLiteTensor* output1 = interpreter.output(1);
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input0->data.f[0] = 2.0f;
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input1->data.f[0] = 3.0f;
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interpreter.Invoke();
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TF_LITE_MICRO_EXPECT_EQ(output0->data.f[0], 5.0f);
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TF_LITE_MICRO_EXPECT_EQ(output1->data.f[0], 3.0f);
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}
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TF_LITE_MICRO_TESTS_END
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