89 lines
3.3 KiB
C++
89 lines
3.3 KiB
C++
// Copyright 2020 The MediaPipe Authors.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include <memory>
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#include "mediapipe/framework/calculator_framework.h"
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#include "mediapipe/framework/calculator_runner.h"
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#include "mediapipe/framework/port/gmock.h"
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#include "mediapipe/framework/port/gtest.h"
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#include "mediapipe/framework/port/parse_text_proto.h"
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#include "mediapipe/framework/port/status_matchers.h" // NOLINT
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#include "tensorflow/lite/model.h"
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namespace mediapipe {
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TEST(TfLiteModelCalculatorTest, SmokeTest) {
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// Prepare single calculator graph to and wait for packets.
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CalculatorGraphConfig graph_config = ParseTextProtoOrDie<
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CalculatorGraphConfig>(
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R"pb(
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node {
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calculator: "ConstantSidePacketCalculator"
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output_side_packet: "PACKET:model_path"
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options: {
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[mediapipe.ConstantSidePacketCalculatorOptions.ext]: {
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packet {
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string_value: "mediapipe/calculators/tflite/testdata/add.bin"
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}
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}
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}
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}
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node {
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calculator: "LocalFileContentsCalculator"
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input_side_packet: "FILE_PATH:model_path"
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output_side_packet: "CONTENTS:model_blob"
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}
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node {
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calculator: "TfLiteModelCalculator"
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input_side_packet: "MODEL_BLOB:model_blob"
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output_side_packet: "MODEL:model"
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}
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)pb");
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CalculatorGraph graph(graph_config);
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MP_ASSERT_OK(graph.StartRun({}));
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MP_ASSERT_OK(graph.WaitUntilIdle());
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auto status_or_packet = graph.GetOutputSidePacket("model");
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MP_ASSERT_OK(status_or_packet);
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auto model_packet = status_or_packet.value();
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const auto& model = model_packet.Get<
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std::unique_ptr<tflite::FlatBufferModel,
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std::function<void(tflite::FlatBufferModel*)>>>();
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auto expected_model = tflite::FlatBufferModel::BuildFromFile(
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"mediapipe/calculators/tflite/testdata/add.bin");
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EXPECT_EQ(model->GetModel()->version(),
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expected_model->GetModel()->version());
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EXPECT_EQ(model->GetModel()->buffers()->size(),
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expected_model->GetModel()->buffers()->size());
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const int num_subgraphs = expected_model->GetModel()->subgraphs()->size();
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EXPECT_EQ(model->GetModel()->subgraphs()->size(), num_subgraphs);
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for (int i = 0; i < num_subgraphs; ++i) {
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const auto* expected_subgraph =
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expected_model->GetModel()->subgraphs()->Get(i);
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const auto* subgraph = model->GetModel()->subgraphs()->Get(i);
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const int num_tensors = expected_subgraph->tensors()->size();
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EXPECT_EQ(subgraph->tensors()->size(), num_tensors);
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for (int j = 0; j < num_tensors; ++j) {
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EXPECT_EQ(subgraph->tensors()->Get(j)->name()->str(),
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expected_subgraph->tensors()->Get(j)->name()->str());
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}
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}
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}
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} // namespace mediapipe
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