STT-tensorflow/tensorflow/lite/experimental/writer/writer_lib_test.cc

/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.

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 "tensorflow/lite/experimental/writer/writer_lib.h"

#include <gtest/gtest.h>
#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/interpreter.h"
#include "tensorflow/lite/kernels/register.h"
#include "tensorflow/lite/model.h"
#include "tensorflow/lite/schema/schema_generated.h"
#include "tensorflow/lite/testing/util.h"

namespace tflite {
// Make an interpreter that has no tensors and no nodes
// TODO(b/113731921): add more tests.
TEST(Writer, FloatModelTest) {
  Interpreter interpreter;
  interpreter.AddTensors(3);
  float foo[] = {1, 2, 3};
  interpreter.SetTensorParametersReadWrite(0, kTfLiteFloat32, "a", {3},
                                           TfLiteQuantization());
  interpreter.SetTensorParametersReadOnly(
      1, kTfLiteFloat32, "b", {3}, TfLiteQuantization(),
      reinterpret_cast<char*>(foo), sizeof(foo));
  interpreter.SetTensorParametersReadWrite(2, kTfLiteFloat32, "c", {3},
                                           TfLiteQuantization());
  interpreter.SetInputs({0, 1});
  interpreter.SetOutputs({2});
  const char* initial_data = "";
  tflite::ops::builtin::BuiltinOpResolver resolver;
  TfLiteAddParams* builtin_data =
      reinterpret_cast<TfLiteAddParams*>(malloc(sizeof(TfLiteAddParams)));
  builtin_data->activation = kTfLiteActNone;
  const TfLiteRegistration* reg = resolver.FindOp(BuiltinOperator_ADD, 1);
  interpreter.AddNodeWithParameters({0, 1}, {2}, initial_data, 0,
                                    reinterpret_cast<void*>(builtin_data), reg);

  SubgraphWriter writer(&interpreter.primary_subgraph());
  writer.Write("/tmp/test_float.tflite");
  std::unique_ptr<FlatBufferModel> model =
      FlatBufferModel::BuildFromFile("/tmp/test_float.tflite");
  InterpreterBuilder builder(*model, resolver);
  std::unique_ptr<Interpreter> new_interpreter;
  builder(&new_interpreter);
  CHECK_EQ(new_interpreter->AllocateTensors(), kTfLiteOk);
}

// Tests writing only a portion of the subgraph.
TEST(Writer, CustomInputOutputTest) {
  Interpreter interpreter;
  interpreter.AddTensors(4);
  constexpr float kFoo[] = {1, 2, 3};
  interpreter.SetTensorParametersReadWrite(0, kTfLiteFloat32, "a", {3},
                                           TfLiteQuantization());
  interpreter.SetTensorParametersReadOnly(
      1, kTfLiteFloat32, "b", {3}, TfLiteQuantization(),
      reinterpret_cast<const char*>(kFoo), sizeof(kFoo));
  interpreter.SetTensorParametersReadWrite(2, kTfLiteFloat32, "c", {3},
                                           TfLiteQuantization());
  interpreter.SetTensorParametersReadWrite(3, kTfLiteFloat32, "d", {3},
                                           TfLiteQuantization());
  interpreter.SetInputs({0, 1});
  interpreter.SetOutputs({3});

  // Add two ops: Add and Relu
  const char* initial_data = "";
  tflite::ops::builtin::BuiltinOpResolver resolver;
  TfLiteAddParams* builtin_data =
      reinterpret_cast<TfLiteAddParams*>(malloc(sizeof(TfLiteAddParams)));
  builtin_data->activation = kTfLiteActNone;
  const TfLiteRegistration* reg = resolver.FindOp(BuiltinOperator_ADD, 1);
  interpreter.AddNodeWithParameters({0, 1}, {2}, initial_data, 0,
                                    reinterpret_cast<void*>(builtin_data), reg);

  const TfLiteRegistration* reg2 = resolver.FindOp(BuiltinOperator_RELU, 1);
  interpreter.AddNodeWithParameters({2}, {3}, nullptr, 0, nullptr, reg2);

  // Only write the second op.
  SubgraphWriter writer(&interpreter.primary_subgraph());
  EXPECT_EQ(writer.SetCustomInputOutput(/*inputs=*/{2}, /*outputs=*/{3},
                                        /*execution_plan=*/{1}),
            kTfLiteOk);
  writer.SetUnusedTensors({0, 1});
  writer.Write("/tmp/test_custom.tflite");

  std::unique_ptr<FlatBufferModel> model =
      FlatBufferModel::BuildFromFile("/tmp/test_custom.tflite");
  InterpreterBuilder builder(*model, resolver);
  std::unique_ptr<Interpreter> new_interpreter;
  builder(&new_interpreter);
  ASSERT_EQ(new_interpreter->AllocateTensors(), kTfLiteOk);
}

TEST(Writer, CustomInputOutputErrorCasesTest) {
  Interpreter interpreter;
  interpreter.AddTensors(5);
  constexpr float kFoo[] = {1, 2, 3};
  interpreter.SetTensorParametersReadWrite(0, kTfLiteFloat32, "a", {3},
                                           TfLiteQuantization());
  interpreter.SetTensorParametersReadOnly(
      1, kTfLiteFloat32, "b", {3}, TfLiteQuantization(),
      reinterpret_cast<const char*>(kFoo), sizeof(kFoo));
  interpreter.SetTensorParametersReadWrite(2, kTfLiteFloat32, "c", {3},
                                           TfLiteQuantization());
  interpreter.SetTensorParametersReadWrite(3, kTfLiteFloat32, "d", {3},
                                           TfLiteQuantization());
  interpreter.SetTensorParametersReadWrite(4, kTfLiteFloat32, "e", {3},
                                           TfLiteQuantization());
  interpreter.SetInputs({0, 1});
  interpreter.SetOutputs({4});

  // Add three ops.
  const char* initial_data = "";
  tflite::ops::builtin::BuiltinOpResolver resolver;
  TfLiteAddParams* builtin_data =
      reinterpret_cast<TfLiteAddParams*>(malloc(sizeof(TfLiteAddParams)));
  builtin_data->activation = kTfLiteActNone;
  const TfLiteRegistration* reg = resolver.FindOp(BuiltinOperator_ADD, 1);
  interpreter.AddNodeWithParameters({0, 1}, {2}, initial_data, 0,
                                    reinterpret_cast<void*>(builtin_data), reg);

  const TfLiteRegistration* reg2 = resolver.FindOp(BuiltinOperator_RELU, 1);
  interpreter.AddNodeWithParameters({2}, {3}, nullptr, 0, nullptr, reg2);

  const TfLiteRegistration* reg3 = resolver.FindOp(BuiltinOperator_RELU6, 1);
  interpreter.AddNodeWithParameters({3}, {4}, nullptr, 0, nullptr, reg3);

  SubgraphWriter writer(&interpreter.primary_subgraph());

  // Test wrong input.
  EXPECT_EQ(writer.SetCustomInputOutput(/*inputs=*/{2}, /*outputs=*/{3},
                                        /*execution_plan=*/{0, 1}),
            kTfLiteError);
  // Test wrong output.
  EXPECT_EQ(writer.SetCustomInputOutput(/*inputs=*/{0, 1}, /*outputs=*/{4},
                                        /*execution_plan=*/{0, 1}),
            kTfLiteError);
  // Test a valid case.
  EXPECT_EQ(writer.SetCustomInputOutput(/*inputs=*/{0, 1}, /*outputs=*/{3},
                                        /*execution_plan=*/{0, 1}),
            kTfLiteOk);
}

TEST(Writer, PerTensorQuantizedModelTest) {
  Interpreter interpreter;
  interpreter.AddTensors(3);
  interpreter.SetTensorParametersReadWrite(
      0, kTfLiteUInt8, "a", {3}, TfLiteQuantizationParams({1 / 256., 128}));
  interpreter.SetTensorParametersReadWrite(
      1, kTfLiteUInt8, "b", {3}, TfLiteQuantizationParams({1 / 256., 128}));
  interpreter.SetTensorParametersReadWrite(
      2, kTfLiteUInt8, "c", {3}, TfLiteQuantizationParams({1 / 256., 128}));
  interpreter.SetInputs({0, 1});
  interpreter.SetOutputs({2});
  const char* initial_data = "";
  tflite::ops::builtin::BuiltinOpResolver resolver;
  TfLiteAddParams* builtin_data =
      reinterpret_cast<TfLiteAddParams*>(malloc(sizeof(TfLiteAddParams)));
  builtin_data->activation = kTfLiteActNone;
  const TfLiteRegistration* reg = resolver.FindOp(BuiltinOperator_ADD, 1);
  interpreter.AddNodeWithParameters({0, 1}, {2}, initial_data, 0,
                                    reinterpret_cast<void*>(builtin_data), reg);

  SubgraphWriter writer(&interpreter.primary_subgraph());
  writer.Write("/tmp/test_uint8.tflite");
  std::unique_ptr<FlatBufferModel> model =
      FlatBufferModel::BuildFromFile("/tmp/test_uint8.tflite");
  InterpreterBuilder builder(*model, resolver);
  std::unique_ptr<Interpreter> new_interpreter;
  builder(&new_interpreter);
  CHECK_EQ(new_interpreter->AllocateTensors(), kTfLiteOk);
}

}  // namespace tflite

int main(int argc, char** argv) {
  ::testing::InitGoogleTest(&argc, argv);
  return RUN_ALL_TESTS();
}