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<!DOCTYPE html>
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<meta property="og:title" content="์ปค์คํ
C++ ํด๋์ค๋ก TorchScript ํ์ฅํ๊ธฐ" />
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์คํผ๋ ์ดํฐ ํํ ๋ฆฌ์ผ์ ํ์์ด๋ฉฐ C++ ํด๋์ค๋ฅผ TorchScript์ Python์ ๋์์ ๋ฐ์ธ๋ฉํ๊ธฐ ์ํด ๊ตฌ์ถํ API๋ฅผ ์๊ฐํฉ๋๋ค. API๋ pybind11 ๊ณผ ๋งค์ฐ ์ ์ฌํ๋ฉฐ ํด๋น ์์คํ
์ ์ต์ํ๋ค๋ฉด ๋๋ถ๋ถ์ ๊ฐ๋
์ด ์ด์ ๋ฉ๋๋ค. C++์์ ํด๋์ค ๊ตฌํ ๋ฐ ๋ฐ์ธ๋ฉ: ์ด ํํ ๋ฆฌ์ผ์์๋ ๋ฉค๋ฒ ๋ณ์์์ ์ง์ ์ํ๋ฅผ ์ ์งํ๋ ๊ฐ๋จํ C++ ํด๋์ค๋ฅผ ์ ์ํ ๊ฒ์
๋๋ค. ๋ช ๊ฐ์ง ์ฃผ์ํ ์ฌํญ์ด ์์ต๋๋ค: torch/custom_class.h ๋ ์ปค์คํ
ํด๋์ค๋ก TorchScript๋ฅผ ํ์ฅํ๊ธฐ ์ํด ํฌํจํด์ผํ๋ ํค๋์
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์ ์ต์ํ๋ค๋ฉด ๋๋ถ๋ถ์ ๊ฐ๋
์ด ์ด์ ๋ฉ๋๋ค. C++์์ ํด๋์ค ๊ตฌํ ๋ฐ ๋ฐ์ธ๋ฉ: ์ด ํํ ๋ฆฌ์ผ์์๋ ๋ฉค๋ฒ ๋ณ์์์ ์ง์ ์ํ๋ฅผ ์ ์งํ๋ ๊ฐ๋จํ C++ ํด๋์ค๋ฅผ ์ ์ํ ๊ฒ์
๋๋ค. ๋ช ๊ฐ์ง ์ฃผ์ํ ์ฌํญ์ด ์์ต๋๋ค: torch/custom_class.h ๋ ์ปค์คํ
ํด๋์ค๋ก TorchScript๋ฅผ ํ์ฅํ๊ธฐ ์ํด ํฌํจํด์ผํ๋ ํค๋์
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<p class="caption" role="heading"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ ์ํผ</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../recipes/recipes_index.html">๋ชจ๋ ๋ ์ํผ ๋ณด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../prototype/prototype_index.html">๋ชจ๋ ํ๋กํ ํ์
๋ ์ํผ ๋ณด๊ธฐ</a></li>
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<p class="caption" role="heading"><span class="caption-text">ํ์ดํ ์น(PyTorch) ์์ํ๊ธฐ</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/intro.html">ํ์ดํ ์น(PyTorch) ๊ธฐ๋ณธ ์ตํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/quickstart_tutorial.html">๋น ๋ฅธ ์์(Quickstart)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/tensorqs_tutorial.html">ํ
์(Tensor)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/data_tutorial.html">Dataset๊ณผ DataLoader</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/transforms_tutorial.html">๋ณํ(Transform)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/buildmodel_tutorial.html">์ ๊ฒฝ๋ง ๋ชจ๋ธ ๊ตฌ์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/autogradqs_tutorial.html"><code class="docutils literal notranslate"><span class="pre">torch.autograd</span></code>๋ฅผ ์ฌ์ฉํ ์๋ ๋ฏธ๋ถ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/optimization_tutorial.html">๋ชจ๋ธ ๋งค๊ฐ๋ณ์ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/basics/saveloadrun_tutorial.html">๋ชจ๋ธ ์ ์ฅํ๊ณ ๋ถ๋ฌ์ค๊ธฐ</a></li>
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<p class="caption" role="heading"><span class="caption-text">Introduction to PyTorch on YouTube</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt.html">PyTorch ์๊ฐ - YouTube ์๋ฆฌ์ฆ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/introyt1_tutorial.html">PyTorch ์๊ฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/tensors_deeper_tutorial.html">Pytorch Tensor ์๊ฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/autogradyt_tutorial.html">The Fundamentals of Autograd</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/modelsyt_tutorial.html">Building Models with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/tensorboardyt_tutorial.html">PyTorch TensorBoard Support</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/trainingyt.html">Training with PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/captumyt.html">Model Understanding with Captum</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ฐฐ์ฐ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/deep_learning_60min_blitz.html">PyTorch๋ก ๋ฅ๋ฌ๋ํ๊ธฐ: 60๋ถ๋ง์ ๋์ฅ๋ด๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/pytorch_with_examples.html">์์ ๋ก ๋ฐฐ์ฐ๋ ํ์ดํ ์น(PyTorch)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/nn_tutorial.html"><cite>torch.nn</cite> ์ด <em>์ค์ ๋ก</em> ๋ฌด์์ธ๊ฐ์?</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_tutorial.html">TensorBoard๋ก ๋ชจ๋ธ, ๋ฐ์ดํฐ, ํ์ต ์๊ฐํํ๊ธฐ</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">์ด๋ฏธ์ง/๋น๋์ค</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/torchvision_tutorial.html">TorchVision Object Detection Finetuning Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/transfer_learning_tutorial.html">์ปดํจํฐ ๋น์ (Vision)์ ์ํ ์ ์ดํ์ต(Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/fgsm_tutorial.html">์ ๋์ ์์ ์์ฑ(Adversarial Example Generation)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/dcgan_faces_tutorial.html">DCGAN ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํด ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tiatoolbox_tutorial.html">Whole Slide Image Classification Using PyTorch and TIAToolbox</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">์ค๋์ค</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_io_tutorial.html">Audio I/O</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_resampling_tutorial.html">Audio Resampling</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_data_augmentation_tutorial.html">Audio Data Augmentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_feature_extractions_tutorial.html">Audio Feature Extractions</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_feature_augmentation_tutorial.html">Audio Feature Augmentation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/audio_datasets_tutorial.html">Audio Datasets</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/speech_recognition_pipeline_tutorial.html">Speech Recognition with Wav2Vec2</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/text_to_speech_with_torchaudio.html">Text-to-speech with Tacotron2</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forced_alignment_with_torchaudio_tutorial.html">wav2vec2์ ์ด์ฉํ ๊ฐ์ ์ ๋ ฌ</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">ํ
์คํธ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/bettertransformer_tutorial.html">Fast Transformer Inference with Better Transformer</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/char_rnn_classification_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: ๋ฌธ์-๋จ์ RNN์ผ๋ก ์ด๋ฆ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/char_rnn_generation_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: ๋ฌธ์-๋จ์ RNN์ผ๋ก ์ด๋ฆ ์์ฑํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/seq2seq_translation_tutorial.html">๊ธฐ์ด๋ถํฐ ์์ํ๋ NLP: Sequence to Sequence ๋คํธ์ํฌ์ Attention์ ์ด์ฉํ ๋ฒ์ญ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/text_sentiment_ngrams_tutorial.html">torchtext ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ก ํ
์คํธ ๋ถ๋ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/translation_transformer.html"><code class="docutils literal notranslate"><span class="pre">nn.Transformer</span></code> ์ torchtext๋ก ์ธ์ด ๋ฒ์ญํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/torchtext_custom_dataset_tutorial.html">Preprocess custom text dataset using Torchtext</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">๋ฐฑ์๋</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/onnx/intro_onnx.html">Introduction to ONNX</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">๊ฐํํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/reinforcement_q_learning.html">๊ฐํ ํ์ต (DQN) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/reinforcement_ppo.html">Reinforcement Learning (PPO) with TorchRL Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/mario_rl_tutorial.html">๋ง๋ฆฌ์ค ๊ฒ์ RL ์์ด์ ํธ๋ก ํ์ตํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="pendulum.html">Pendulum: Writing your environment and transforms with TorchRL</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">PyTorch ๋ชจ๋ธ์ ํ๋ก๋์
ํ๊ฒฝ์ ๋ฐฐํฌํ๊ธฐ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/onnx/intro_onnx.html">Introduction to ONNX</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/flask_rest_api_tutorial.html">Flask๋ฅผ ์ฌ์ฉํ์ฌ Python์์ PyTorch๋ฅผ REST API๋ก ๋ฐฐํฌํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/Intro_to_TorchScript_tutorial.html">TorchScript ์๊ฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="cpp_export.html">C++์์ TorchScript ๋ชจ๋ธ ๋ก๋ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="super_resolution_with_onnxruntime.html">(์ ํ) PyTorch ๋ชจ๋ธ์ ONNX์ผ๋ก ๋ณํํ๊ณ ONNX ๋ฐํ์์์ ์คํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/realtime_rpi.html">Raspberry Pi 4 ์์ ์ค์๊ฐ ์ถ๋ก (Inference) (30fps!)</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">PyTorch ํ๋กํ์ผ๋ง</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/profiler.html">PyTorch ๋ชจ๋ ํ๋กํ์ผ๋งํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/hta_intro_tutorial.html">Introduction to Holistic Trace Analysis</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/hta_trace_diff_tutorial.html">Trace Diff using Holistic Trace Analysis</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Code Transforms with FX</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/fx_conv_bn_fuser.html">(๋ฒ ํ) FX์์ ํฉ์ฑ๊ณฑ/๋ฐฐ์น ์ ๊ทํ(Convolution/Batch Norm) ๊ฒฐํฉ๊ธฐ(Fuser) ๋ง๋ค๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/fx_profiling_tutorial.html">(beta) Building a Simple CPU Performance Profiler with FX</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">ํ๋ก ํธ์๋ API</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/memory_format_tutorial.html">(๋ฒ ํ) PyTorch๋ฅผ ์ฌ์ฉํ Channels Last ๋ฉ๋ชจ๋ฆฌ ํ์</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forward_ad_usage.html">Forward-mode Automatic Differentiation (Beta)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/jacobians_hessians.html">Jacobians, Hessians, hvp, vhp, and more: composing function transforms</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/ensembling.html">๋ชจ๋ธ ์์๋ธ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/per_sample_grads.html">Per-sample-gradients</a></li>
<li class="toctree-l1"><a class="reference internal" href="cpp_frontend.html">PyTorch C++ ํ๋ก ํธ์๋ ์ฌ์ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="torch-script-parallelism.html">TorchScript์ ๋์ ๋ณ๋ ฌ ์ฒ๋ฆฌ(Dynamic Parallelism)</a></li>
<li class="toctree-l1"><a class="reference internal" href="cpp_autograd.html">C++ ํ๋ก ํธ์๋์ ์๋ ๋ฏธ๋ถ (autograd)</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">PyTorch ํ์ฅํ๊ธฐ</span></p>
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../intermediate/custom_function_double_backward_tutorial.html">Double Backward with Custom Functions</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/custom_function_conv_bn_tutorial.html">Fusing Convolution and Batch Norm using Custom Function</a></li>
<li class="toctree-l1"><a class="reference internal" href="cpp_extension.html">Custom C++ and CUDA Extensions</a></li>
<li class="toctree-l1"><a class="reference internal" href="torch_script_custom_ops.html">Extending TorchScript with Custom C++ Operators</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">์ปค์คํ
C++ ํด๋์ค๋ก TorchScript ํ์ฅํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="dispatcher.html">Registering a Dispatched Operator in C++</a></li>
<li class="toctree-l1"><a class="reference internal" href="extend_dispatcher.html">Extending dispatcher for a new backend in C++</a></li>
<li class="toctree-l1"><a class="reference internal" href="privateuseone.html">Facilitating New Backend Integration by PrivateUse1</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">๋ชจ๋ธ ์ต์ ํ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/profiler.html">PyTorch ๋ชจ๋ ํ๋กํ์ผ๋งํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_profiler_tutorial.html">ํ
์๋ณด๋๋ฅผ ์ด์ฉํ ํ์ดํ ์น ํ๋กํ์ผ๋ฌ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/hyperparameter_tuning_tutorial.html">Ray Tune์ ์ฌ์ฉํ ํ์ดํผํ๋ผ๋ฏธํฐ ํ๋</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํด ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/parametrizations.html">Parametrizations Tutorial</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/pruning_tutorial.html">๊ฐ์ง์น๊ธฐ ๊ธฐ๋ฒ(Pruning) ํํ ๋ฆฌ์ผ</a></li>
<li class="toctree-l1"><a class="reference internal" href="dynamic_quantization_tutorial.html">(๋ฒ ํ) LSTM ๊ธฐ๋ฐ ๋จ์ด ๋จ์ ์ธ์ด ๋ชจ๋ธ์ ๋์ ์์ํ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dynamic_quantization_bert_tutorial.html">(๋ฒ ํ) BERT ๋ชจ๋ธ ๋์ ์์ํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/quantized_transfer_learning_tutorial.html">(๋ฒ ํ) ์ปดํจํฐ ๋น์ ํํ ๋ฆฌ์ผ์ ์ํ ์์ํ๋ ์ ์ดํ์ต(Quantized Transfer Learning)</a></li>
<li class="toctree-l1"><a class="reference internal" href="static_quantization_tutorial.html">(๋ฒ ํ) PyTorch์์ Eager Mode๋ฅผ ์ด์ฉํ ์ ์ ์์ํ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/torchserve_with_ipex.html">Grokking PyTorch Intel CPU performance from first principles</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/torchserve_with_ipex_2.html">Grokking PyTorch Intel CPU performance from first principles (Part 2)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/nvfuser_intro_tutorial.html">Getting Started - Accelerate Your Scripts with nvFuser</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/ax_multiobjective_nas_tutorial.html">Multi-Objective NAS with Ax</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/torch_compile_tutorial.html">Introduction to <code class="docutils literal notranslate"><span class="pre">torch.compile</span></code></a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/inductor_debug_cpu.html">Inductor CPU backend debugging and profiling</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/scaled_dot_product_attention_tutorial.html">(Beta) Scaled Dot Product Attention (SDPA)๋ก ๊ณ ์ฑ๋ฅ ํธ๋์คํฌ๋จธ(Transformers) ๊ตฌํํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/scaled_dot_product_attention_tutorial.html#torch-compile-sdpa"><code class="docutils literal notranslate"><span class="pre">torch.compile</span></code> ๊ณผ ํจ๊ป SDPA ์ฌ์ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/scaled_dot_product_attention_tutorial.html#sdpa-atteition-bias">SDPA๋ฅผ <code class="docutils literal notranslate"><span class="pre">atteition.bias</span></code> ํ์ ํด๋์ค์ ์ฌ์ฉํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/scaled_dot_product_attention_tutorial.html#id8">๊ฒฐ๋ก </a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/knowledge_distillation_tutorial.html">Knowledge Distillation Tutorial</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">๋ณ๋ ฌ ๋ฐ ๋ถ์ฐ ํ์ต</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../distributed/home.html">Distributed and Parallel Training Tutorials</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/dist_overview.html">PyTorch Distributed Overview</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/ddp_series_intro.html">Distributed Data Parallel in PyTorch - Video Tutorials</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/model_parallel_tutorial.html">๋จ์ผ ๋จธ์ ์ ์ฌ์ฉํ ๋ชจ๋ธ ๋ณ๋ ฌํ ๋ชจ๋ฒ ์ฌ๋ก</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/ddp_tutorial.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ ์ฒ๋ฆฌ ์์ํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dist_tuto.html">PyTorch๋ก ๋ถ์ฐ ์ดํ๋ฆฌ์ผ์ด์
๊ฐ๋ฐํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/FSDP_tutorial.html">Getting Started with Fully Sharded Data Parallel(FSDP)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/FSDP_adavnced_tutorial.html">Advanced Model Training with Fully Sharded Data Parallel (FSDP)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/TP_tutorial.html">Large Scale Transformer model training with Tensor Parallel (TP)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/process_group_cpp_extension_tutorial.html">Cpp ํ์ฅ์ ์ฌ์ฉํ ํ๋ก์ธ์ค ๊ทธ๋ฃน ๋ฐฑ์๋ ์ฌ์ฉ์ ์ ์</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_tutorial.html">Getting Started with Distributed RPC Framework</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_param_server_tutorial.html">Implementing a Parameter Server Using Distributed RPC Framework</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/dist_pipeline_parallel_tutorial.html">Distributed Pipeline Parallelism Using RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/rpc_async_execution.html">Implementing Batch RPC Processing Using Asynchronous Executions</a></li>
<li class="toctree-l1"><a class="reference internal" href="rpc_ddp_tutorial.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ(DDP)๊ณผ ๋ถ์ฐ RPC ํ๋ ์์ํฌ ๊ฒฐํฉ</a></li>
<li class="toctree-l1"><a class="reference internal" href="ddp_pipeline.html">๋ถ์ฐ ๋ฐ์ดํฐ ๋ณ๋ ฌ ์ฒ๋ฆฌ์ ๋ณ๋ ฌ ์ฒ๋ฆฌ ํ์ดํ๋ผ์ธ์ ์ฌ์ฉํ ํธ๋์คํฌ๋จธ ๋ชจ๋ธ ํ์ต</a></li>
<li class="toctree-l1"><a class="reference internal" href="generic_join.html">Distributed Training with Uneven Inputs Using the Join Context Manager</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Edge with ExecuTorch</span></p>
<ul>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/executorch/stable/tutorials/export-to-executorch-tutorial.html">Exporting to ExecuTorch Tutorial</a></li>
<li class="toctree-l1"><a class="reference external" href=" https://pytorch.org/executorch/stable/running-a-model-cpp-tutorial.html">Running an ExecuTorch Model in C++ Tutorial</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/executorch/stable/tutorials/sdk-integration-tutorial.html">Using the ExecuTorch SDK to Profile a Model</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/executorch/stable/demo-apps-ios.html">Building an ExecuTorch iOS Demo App</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/executorch/stable/demo-apps-android.html">Building an ExecuTorch Android Demo App</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/executorch/stable/examples-end-to-end-to-lower-model-to-delegate.html">Lowering a Model as a Delegate</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">์ถ์ฒ ์์คํ
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<div class="section" id="c-torchscript">
<h1>์ปค์คํ
C++ ํด๋์ค๋ก TorchScript ํ์ฅํ๊ธฐ<a class="headerlink" href="#c-torchscript" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h1>
<p>์ด ํํ ๋ฆฌ์ผ์ <a class="reference internal" href="torch_script_custom_ops.html"><span class="doc">์ปค์คํ
์คํผ๋ ์ดํฐ</span></a> ํํ ๋ฆฌ์ผ์ ํ์์ด๋ฉฐ
C++ ํด๋์ค๋ฅผ TorchScript์ Python์ ๋์์ ๋ฐ์ธ๋ฉํ๊ธฐ ์ํด ๊ตฌ์ถํ API๋ฅผ ์๊ฐํฉ๋๋ค.
API๋ <a class="reference external" href="https://github.com/pybind/pybind11">pybind11</a> ๊ณผ
๋งค์ฐ ์ ์ฌํ๋ฉฐ ํด๋น ์์คํ
์ ์ต์ํ๋ค๋ฉด ๋๋ถ๋ถ์ ๊ฐ๋
์ด ์ด์ ๋ฉ๋๋ค.</p>
<div class="section" id="c">
<h2>C++์์ ํด๋์ค ๊ตฌํ ๋ฐ ๋ฐ์ธ๋ฉ<a class="headerlink" href="#c" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>์ด ํํ ๋ฆฌ์ผ์์๋ ๋ฉค๋ฒ ๋ณ์์์ ์ง์ ์ํ๋ฅผ ์ ์งํ๋ ๊ฐ๋จํ C++ ํด๋์ค๋ฅผ ์ ์ํ ๊ฒ์
๋๋ค.</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// This header is all you need to do the C++ portions of this</span>
<span class="c1">// tutorial</span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf"><torch/script.h></span>
<span class="c1">// This header is what defines the custom class registration</span>
<span class="c1">// behavior specifically. script.h already includes this, but</span>
<span class="c1">// we include it here so you know it exists in case you want</span>
<span class="c1">// to look at the API or implementation.</span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf"><torch/custom_class.h></span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf"><string></span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf"><vector></span>
<span class="k">template</span><span class="w"> </span><span class="o"><</span><span class="k">class</span><span class="w"> </span><span class="nc">T</span><span class="o">></span>
<span class="k">struct</span><span class="w"> </span><span class="nc">MyStackClass</span><span class="w"> </span><span class="o">:</span><span class="w"> </span><span class="n">torch</span><span class="o">::</span><span class="n">CustomClassHolder</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o"><</span><span class="n">T</span><span class="o">></span><span class="w"> </span><span class="n">stack_</span><span class="p">;</span>
<span class="w"> </span><span class="n">MyStackClass</span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o"><</span><span class="n">T</span><span class="o">></span><span class="w"> </span><span class="n">init</span><span class="p">)</span><span class="w"> </span><span class="o">:</span><span class="w"> </span><span class="n">stack_</span><span class="p">(</span><span class="n">init</span><span class="p">.</span><span class="n">begin</span><span class="p">(),</span><span class="w"> </span><span class="n">init</span><span class="p">.</span><span class="n">end</span><span class="p">())</span><span class="w"> </span><span class="p">{}</span>
<span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">push</span><span class="p">(</span><span class="n">T</span><span class="w"> </span><span class="n">x</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">stack_</span><span class="p">.</span><span class="n">push_back</span><span class="p">(</span><span class="n">x</span><span class="p">);</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="n">T</span><span class="w"> </span><span class="n">pop</span><span class="p">()</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">auto</span><span class="w"> </span><span class="n">val</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">stack_</span><span class="p">.</span><span class="n">back</span><span class="p">();</span>
<span class="w"> </span><span class="n">stack_</span><span class="p">.</span><span class="n">pop_back</span><span class="p">();</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">val</span><span class="p">;</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o">></span><span class="w"> </span><span class="n">clone</span><span class="p">()</span><span class="w"> </span><span class="k">const</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">make_intrusive</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o">></span><span class="p">(</span><span class="n">stack_</span><span class="p">);</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="n">merge</span><span class="p">(</span><span class="k">const</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o">>&</span><span class="w"> </span><span class="n">c</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="k">auto</span><span class="o">&</span><span class="w"> </span><span class="n">elem</span><span class="w"> </span><span class="o">:</span><span class="w"> </span><span class="n">c</span><span class="o">-></span><span class="n">stack_</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">push</span><span class="p">(</span><span class="n">elem</span><span class="p">);</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="p">}</span>
<span class="p">};</span>
</pre></div>
</div>
<p>๋ช ๊ฐ์ง ์ฃผ์ํ ์ฌํญ์ด ์์ต๋๋ค:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">torch/custom_class.h</span></code> ๋ ์ปค์คํ
ํด๋์ค๋ก TorchScript๋ฅผ ํ์ฅํ๊ธฐ ์ํด ํฌํจํด์ผํ๋ ํค๋์
๋๋ค.</p></li>
<li><p>์ปค์คํ
ํด๋์ค์ ์ธ์คํด์ค๋ก ์์
ํ ๋๋ง๋ค <code class="docutils literal notranslate"><span class="pre">c10::intrusive_ptr<></span></code> ์ ์ธ์คํด์ค๋ฅผ ํตํด ์์
์ ์ํํฉ๋๋ค.
<code class="docutils literal notranslate"><span class="pre">intrusive_ptr</span></code> ๋ฅผ <code class="docutils literal notranslate"><span class="pre">std::shared_ptr</span></code> ๊ณผ ๊ฐ์ ์ค๋งํธ ํฌ์ธํฐ๋ก ์๊ฐํ์ธ์. ๊ทธ๋ฌ๋ ์ฐธ์กฐ ๊ณ์๋
<code class="docutils literal notranslate"><span class="pre">std::shared_ptr</span></code> ๊ฐ์ด ๋ณ๋์ ๋ฉํ๋ฐ์ดํฐ ๋ธ๋ก๊ณผ ๋ฌ๋ฆฌ ๊ฐ์ฒด์ ์ง์ ์ ์ฅ๋ฉ๋๋ค.
<code class="docutils literal notranslate"><span class="pre">torch::Tensor</span></code> ๋ ๋ด๋ถ์ ์ผ๋ก ๋์ผํ ํฌ์ธํฐ ์ ํ์ ์ฌ์ฉํฉ๋๋ค.
์ปค์คํ
ํด๋์ค๋ <code class="docutils literal notranslate"><span class="pre">torch::Tensor</span></code> ํฌ์ธํฐ ์ ํ์ ์ฌ์ฉํด์ผ ๋ค์ํ ๊ฐ์ฒด ์ ํ์ ์ผ๊ด๋๊ฒ ๊ด๋ฆฌํ ์ ์์ต๋๋ค.</p></li>
<li><p>๋ ๋ฒ์งธ๋ก ์ฃผ๋ชฉํด์ผ ํ ์ ์ ์ปค์คํ
ํด๋์ค๊ฐ <code class="docutils literal notranslate"><span class="pre">torch::CustomClassHolder</span></code> ์์ ์์๋์ด์ผ ํ๋ค๋ ๊ฒ์
๋๋ค.
์ด๋ ๊ฒ ํ๋ฉด ์ปค์คํ
ํด๋์ค์ ์ฐธ์กฐ ๊ณ์๋ฅผ ์ ์ฅํ ๊ณต๊ฐ์ด ์์ต๋๋ค.</p></li>
</ul>
<p>์ด์ ์ด ํด๋์ค๋ฅผ ์ด๋ป๊ฒ TorchScript์์ ์ฌ์ฉ๊ฐ๋ฅํ๊ฒ ํ๋์ง ์ดํด๋ณด๊ฒ ์ต๋๋ค.
์ด๋ฐ ๊ณผ์ ์ ํด๋์ค๋ฅผ <em>๋ฐ์ธ๋ฉ</em> ํ๋ค๊ณ ํฉ๋๋ค:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Notice a few things:</span>
<span class="c1">// - We pass the class to be registered as a template parameter to</span>
<span class="c1">// `torch::class_`. In this instance, we've passed the</span>
<span class="c1">// specialization of the MyStackClass class ``MyStackClass<std::string>``.</span>
<span class="c1">// In general, you cannot register a non-specialized template</span>
<span class="c1">// class. For non-templated classes, you can just pass the</span>
<span class="c1">// class name directly as the template parameter.</span>
<span class="c1">// - The arguments passed to the constructor make up the "qualified name"</span>
<span class="c1">// of the class. In this case, the registered class will appear in</span>
<span class="c1">// Python and C++ as `torch.classes.my_classes.MyStackClass`. We call</span>
<span class="c1">// the first argument the "namespace" and the second argument the</span>
<span class="c1">// actual class name.</span>
<span class="n">TORCH_LIBRARY</span><span class="p">(</span><span class="n">my_classes</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">class_</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>></span><span class="p">(</span><span class="s">"MyStackClass"</span><span class="p">)</span>
<span class="w"> </span><span class="c1">// The following line registers the contructor of our MyStackClass</span>
<span class="w"> </span><span class="c1">// class that takes a single `std::vector<std::string>` argument,</span>
<span class="w"> </span><span class="c1">// i.e. it exposes the C++ method `MyStackClass(std::vector<T> init)`.</span>
<span class="w"> </span><span class="c1">// Currently, we do not support registering overloaded</span>
<span class="w"> </span><span class="c1">// constructors, so for now you can only `def()` one instance of</span>
<span class="w"> </span><span class="c1">// `torch::init`.</span>
<span class="w"> </span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="n">torch</span><span class="o">::</span><span class="n">init</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>></span><span class="p">())</span>
<span class="w"> </span><span class="c1">// The next line registers a stateless (i.e. no captures) C++ lambda</span>
<span class="w"> </span><span class="c1">// function as a method. Note that a lambda function must take a</span>
<span class="w"> </span><span class="c1">// `c10::intrusive_ptr<YourClass>` (or some const/ref version of that)</span>
<span class="w"> </span><span class="c1">// as the first argument. Other arguments can be whatever you want.</span>
<span class="w"> </span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"top"</span><span class="p">,</span><span class="w"> </span><span class="p">[](</span><span class="k">const</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>>&</span><span class="w"> </span><span class="n">self</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">self</span><span class="o">-></span><span class="n">stack_</span><span class="p">.</span><span class="n">back</span><span class="p">();</span>
<span class="w"> </span><span class="p">})</span>
<span class="w"> </span><span class="c1">// The following four lines expose methods of the MyStackClass<std::string></span>
<span class="w"> </span><span class="c1">// class as-is. `torch::class_` will automatically examine the</span>
<span class="w"> </span><span class="c1">// argument and return types of the passed-in method pointers and</span>
<span class="w"> </span><span class="c1">// expose these to Python and TorchScript accordingly. Finally, notice</span>
<span class="w"> </span><span class="c1">// that we must take the *address* of the fully-qualified method name,</span>
<span class="w"> </span><span class="c1">// i.e. use the unary `&` operator, due to C++ typing rules.</span>
<span class="w"> </span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"push"</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>::</span><span class="n">push</span><span class="p">)</span>
<span class="w"> </span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"pop"</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>::</span><span class="n">pop</span><span class="p">)</span>
<span class="w"> </span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"clone"</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>::</span><span class="n">clone</span><span class="p">)</span>
<span class="w"> </span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"merge"</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>::</span><span class="n">merge</span><span class="p">)</span>
<span class="w"> </span><span class="p">;</span>
<span class="p">}</span>
</pre></div>
</div>
</div>
<div class="section" id="cmake-c">
<h2>CMake๋ฅผ ์ฌ์ฉํ์ฌ C++ ํ๋ก์ ํธ๋ก ์์ ๋น๋<a class="headerlink" href="#cmake-c" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>์ด์ <a class="reference external" href="https://cmake.org">CMake</a> ๋น๋ ์์คํ
์ ์ฌ์ฉํ์ฌ ์์ C++ ์ฝ๋๋ฅผ ๋น๋ํฉ๋๋ค.
๋จผ์ , ์ง๊ธ๊น์ง ๋ค๋ฃฌ ๋ชจ๋ C++ code๋ฅผ <code class="docutils literal notranslate"><span class="pre">class.cpp</span></code> ๋ผ๋ ํ์ผ์ ๋ฃ์ต๋๋ค.
๊ทธ๋ฐ ๋ค์ ๊ฐ๋จํ <code class="docutils literal notranslate"><span class="pre">CMakeLists.txt</span></code> ํ์ผ์ ์์ฑํ์ฌ ๋์ผํ ๋๋ ํ ๋ฆฌ์ ๋ฐฐ์นํฉ๋๋ค.
<code class="docutils literal notranslate"><span class="pre">CMakeLists.txt</span></code> ๋ ๋ค์๊ณผ ๊ฐ์์ผ ํฉ๋๋ค:</p>
<div class="highlight-cmake notranslate"><div class="highlight"><pre><span></span><span class="nb">cmake_minimum_required</span><span class="p">(</span><span class="s">VERSION</span><span class="w"> </span><span class="s">3.1</span><span class="w"> </span><span class="s">FATAL_ERROR</span><span class="p">)</span>
<span class="nb">project</span><span class="p">(</span><span class="s">custom_class</span><span class="p">)</span>
<span class="nb">find_package</span><span class="p">(</span><span class="s">Torch</span><span class="w"> </span><span class="s">REQUIRED</span><span class="p">)</span>
<span class="c"># Define our library target</span>
<span class="nb">add_library</span><span class="p">(</span><span class="s">custom_class</span><span class="w"> </span><span class="s">SHARED</span><span class="w"> </span><span class="s">class.cpp</span><span class="p">)</span>
<span class="nb">set</span><span class="p">(</span><span class="s">CMAKE_CXX_STANDARD</span><span class="w"> </span><span class="s">14</span><span class="p">)</span>
<span class="c"># Link against LibTorch</span>
<span class="nb">target_link_libraries</span><span class="p">(</span><span class="s">custom_class</span><span class="w"> </span><span class="s2">"${TORCH_LIBRARIES}"</span><span class="p">)</span>
</pre></div>
</div>
<p>๋ํ <code class="docutils literal notranslate"><span class="pre">build</span></code> ๋๋ ํ ๋ฆฌ๋ฅผ ๋ง๋ญ๋๋ค. ํ์ผ ํธ๋ฆฌ๋ ๋ค์๊ณผ ๊ฐ์์ผ ํฉ๋๋ค:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">custom_class_project</span><span class="o">/</span>
<span class="n">class</span><span class="o">.</span><span class="n">cpp</span>
<span class="n">CMakeLists</span><span class="o">.</span><span class="n">txt</span>
<span class="n">build</span><span class="o">/</span>
</pre></div>
</div>
<p><a class="reference internal" href="torch_script_custom_ops.html"><span class="doc">์ด์ ํํ ๋ฆฌ์ผ</span></a> ์์ ์ค๋ช
ํ ๊ฒ๊ณผ ๋์ผํ ๋ฐฉ์์ผ๋ก ํ๊ฒฝ์ ์ค์ ํ๋ค๊ณ ๊ฐ์ ํฉ๋๋ค.
๊ณ์ํด์ cmake๋ฅผ ํธ์ถํ ๋ค์ make๋ฅผ ํธ์ถํ์ฌ ํ๋ก์ ํธ๋ฅผ ๋น๋ํฉ๋๋ค:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span><span class="nb">cd</span><span class="w"> </span>build
$<span class="w"> </span>cmake<span class="w"> </span>-DCMAKE_PREFIX_PATH<span class="o">=</span><span class="s2">"</span><span class="k">$(</span>python<span class="w"> </span>-c<span class="w"> </span><span class="s1">'import torch.utils; print(torch.utils.cmake_prefix_path)'</span><span class="k">)</span><span class="s2">"</span><span class="w"> </span>..
<span class="w"> </span>--<span class="w"> </span>The<span class="w"> </span>C<span class="w"> </span>compiler<span class="w"> </span>identification<span class="w"> </span>is<span class="w"> </span>GNU<span class="w"> </span><span class="m">7</span>.3.1
<span class="w"> </span>--<span class="w"> </span>The<span class="w"> </span>CXX<span class="w"> </span>compiler<span class="w"> </span>identification<span class="w"> </span>is<span class="w"> </span>GNU<span class="w"> </span><span class="m">7</span>.3.1
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>C<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/cc
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>C<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/cc<span class="w"> </span>--<span class="w"> </span>works
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compile<span class="w"> </span>features
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compile<span class="w"> </span>features<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>CXX<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/c++
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>CXX<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/c++<span class="w"> </span>--<span class="w"> </span>works
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compile<span class="w"> </span>features
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compile<span class="w"> </span>features<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread.h
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread.h<span class="w"> </span>-<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span>-<span class="w"> </span>not<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthreads
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthreads<span class="w"> </span>-<span class="w"> </span>not<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthread
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthread<span class="w"> </span>-<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Found<span class="w"> </span>Threads:<span class="w"> </span>TRUE
<span class="w"> </span>--<span class="w"> </span>Found<span class="w"> </span>torch:<span class="w"> </span>/torchbind_tutorial/libtorch/lib/libtorch.so
<span class="w"> </span>--<span class="w"> </span>Configuring<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Generating<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Build<span class="w"> </span>files<span class="w"> </span>have<span class="w"> </span>been<span class="w"> </span>written<span class="w"> </span>to:<span class="w"> </span>/torchbind_tutorial/build
$<span class="w"> </span>make<span class="w"> </span>-j
<span class="w"> </span>Scanning<span class="w"> </span>dependencies<span class="w"> </span>of<span class="w"> </span>target<span class="w"> </span>custom_class
<span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="m">50</span>%<span class="o">]</span><span class="w"> </span>Building<span class="w"> </span>CXX<span class="w"> </span>object<span class="w"> </span>CMakeFiles/custom_class.dir/class.cpp.o
<span class="w"> </span><span class="o">[</span><span class="m">100</span>%<span class="o">]</span><span class="w"> </span>Linking<span class="w"> </span>CXX<span class="w"> </span>shared<span class="w"> </span>library<span class="w"> </span>libcustom_class.so
<span class="w"> </span><span class="o">[</span><span class="m">100</span>%<span class="o">]</span><span class="w"> </span>Built<span class="w"> </span>target<span class="w"> </span>custom_class
</pre></div>
</div>
<p>์ด์ ๋ฌด์๋ณด๋ค๋ ๋น๋ ๋๋ ํ ๋ฆฌ์ ๋์ ๋ผ์ด๋ธ๋ฌ๋ฆฌ ํ์ผ์ด ์๋ค๋ ๊ฒ์ ์๊ฒ ๋ ๊ฒ์
๋๋ค.
๋ฆฌ๋
์ค์์๋ ์๋ง๋ <code class="docutils literal notranslate"><span class="pre">libcustom_class.so</span></code> ๋ก ์ด๋ฆ์ด ์ง์ ๋ ๊ฒ์
๋๋ค.
๋ฐ๋ผ์ ํ์ผ ํธ๋ฆฌ๋ ๋ค์๊ณผ ๊ฐ์์ผ ํฉ๋๋ค:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">custom_class_project</span><span class="o">/</span>
<span class="n">class</span><span class="o">.</span><span class="n">cpp</span>
<span class="n">CMakeLists</span><span class="o">.</span><span class="n">txt</span>
<span class="n">build</span><span class="o">/</span>
<span class="n">libcustom_class</span><span class="o">.</span><span class="n">so</span>
</pre></div>
</div>
</div>
<div class="section" id="python-torchscript-c">
<h2>Python ๋ฐ TorchScript์ C++ ํด๋์ค ์ฌ์ฉ<a class="headerlink" href="#python-torchscript-c" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>์ด์ ํด๋์ค์ ๋ฑ๋ก์ด <code class="docutils literal notranslate"><span class="pre">.so</span></code> ํ์ผ๋ก ์ปดํ์ผ๋์์ผ๋ฏ๋ก ํด๋น <cite>.so</cite> ๋ฅผ Python์ ์ฝ์ด๋ค์ด๊ณ ์ฌ์ฉํด ๋ณผ ์ ์์ต๋๋ค.
๋ค์์ ์ด๋ฅผ ๋ณด์ฌ์ฃผ๋ ์คํฌ๋ฆฝํธ์
๋๋ค:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">torch</span>
<span class="c1"># `torch.classes.load_library()` allows you to pass the path to your .so file</span>
<span class="c1"># to load it in and make the custom C++ classes available to both Python and</span>
<span class="c1"># TorchScript</span>
<span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">load_library</span><span class="p">(</span><span class="s2">"build/libcustom_class.so"</span><span class="p">)</span>
<span class="c1"># You can query the loaded libraries like this:</span>
<span class="nb">print</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">loaded_libraries</span><span class="p">)</span>
<span class="c1"># prints {'/custom_class_project/build/libcustom_class.so'}</span>
<span class="c1"># We can find and instantiate our custom C++ class in python by using the</span>
<span class="c1"># `torch.classes` namespace:</span>
<span class="c1">#</span>
<span class="c1"># This instantiation will invoke the MyStackClass(std::vector<T> init)</span>
<span class="c1"># constructor we registered earlier</span>
<span class="n">s</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span><span class="p">([</span><span class="s2">"foo"</span><span class="p">,</span> <span class="s2">"bar"</span><span class="p">])</span>
<span class="c1"># We can call methods in Python</span>
<span class="n">s</span><span class="o">.</span><span class="n">push</span><span class="p">(</span><span class="s2">"pushed"</span><span class="p">)</span>
<span class="k">assert</span> <span class="n">s</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"pushed"</span>
<span class="c1"># Test custom operator</span>
<span class="n">s</span><span class="o">.</span><span class="n">push</span><span class="p">(</span><span class="s2">"pushed"</span><span class="p">)</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">manipulate_instance</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="c1"># acting as s.pop()</span>
<span class="k">assert</span> <span class="n">s</span><span class="o">.</span><span class="n">top</span><span class="p">()</span> <span class="o">==</span> <span class="s2">"bar"</span>
<span class="c1"># Returning and passing instances of custom classes works as you'd expect</span>
<span class="n">s2</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">clone</span><span class="p">()</span>
<span class="n">s</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">s2</span><span class="p">)</span>
<span class="k">for</span> <span class="n">expected</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"bar"</span><span class="p">,</span> <span class="s2">"foo"</span><span class="p">,</span> <span class="s2">"bar"</span><span class="p">,</span> <span class="s2">"foo"</span><span class="p">]:</span>
<span class="k">assert</span> <span class="n">s</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span> <span class="o">==</span> <span class="n">expected</span>
<span class="c1"># We can also use the class in TorchScript</span>
<span class="c1"># For now, we need to assign the class's type to a local in order to</span>
<span class="c1"># annotate the type on the TorchScript function. This may change</span>
<span class="c1"># in the future.</span>
<span class="n">MyStackClass</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span>
<span class="nd">@torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">script</span>
<span class="k">def</span> <span class="nf">do_stacks</span><span class="p">(</span><span class="n">s</span><span class="p">:</span> <span class="n">MyStackClass</span><span class="p">):</span> <span class="c1"># We can pass a custom class instance</span>
<span class="c1"># We can instantiate the class</span>
<span class="n">s2</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span><span class="p">([</span><span class="s2">"hi"</span><span class="p">,</span> <span class="s2">"mom"</span><span class="p">])</span>
<span class="n">s2</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="c1"># We can call a method on the class</span>
<span class="c1"># We can also return instances of the class</span>
<span class="c1"># from TorchScript function/methods</span>
<span class="k">return</span> <span class="n">s2</span><span class="o">.</span><span class="n">clone</span><span class="p">(),</span> <span class="n">s2</span><span class="o">.</span><span class="n">top</span><span class="p">()</span>
<span class="n">stack</span><span class="p">,</span> <span class="n">top</span> <span class="o">=</span> <span class="n">do_stacks</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span><span class="p">([</span><span class="s2">"wow"</span><span class="p">]))</span>
<span class="k">assert</span> <span class="n">top</span> <span class="o">==</span> <span class="s2">"wow"</span>
<span class="k">for</span> <span class="n">expected</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"wow"</span><span class="p">,</span> <span class="s2">"mom"</span><span class="p">,</span> <span class="s2">"hi"</span><span class="p">]:</span>
<span class="k">assert</span> <span class="n">stack</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span> <span class="o">==</span> <span class="n">expected</span>
</pre></div>
</div>
</div>
<div class="section" id="torchscript">
<h2>์ปค์คํ
ํด๋์ค๋ฅผ ์ฌ์ฉํ์ฌ TorchScript ์ฝ๋ ์ ์ฅ, ์ฝ๊ธฐ ๋ฐ ์คํ<a class="headerlink" href="#torchscript" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>libtorch๋ฅผ ์ฌ์ฉํ์ฌ C++ ํ๋ก์ธ์ค์์ ์ปค์คํ
๋ฑ๋ก C++ ํด๋์ค๋ฅผ ์ฌ์ฉํ ์๋ ์์ต๋๋ค.
์๋ฅผ ๋ค์ด MyStackClass ํด๋์ค์์ ๋ฉ์๋๋ฅผ ์ธ์คํด์คํํ๊ณ ํธ์ถํ๋ ๊ฐ๋จํ <code class="docutils literal notranslate"><span class="pre">nn.Module</span></code> ์ ์ ์ํด ๋ณด๊ฒ ์ต๋๋ค:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">torch</span>
<span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">load_library</span><span class="p">(</span><span class="s1">'build/libcustom_class.so'</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Foo</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
<span class="n">stack</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span><span class="p">([</span><span class="s2">"hi"</span><span class="p">,</span> <span class="s2">"mom"</span><span class="p">])</span>
<span class="k">return</span> <span class="n">stack</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span> <span class="o">+</span> <span class="n">s</span>
<span class="n">scripted_foo</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">script</span><span class="p">(</span><span class="n">Foo</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="n">scripted_foo</span><span class="o">.</span><span class="n">graph</span><span class="p">)</span>
<span class="n">scripted_foo</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">'foo.pt'</span><span class="p">)</span>
</pre></div>
</div>
<p>ํ์ผ ์์คํ
์ foo.pt๋ ๋ฐฉ๊ธ ์ ์ํ ์ง๋ ฌํ๋ TorchScript ํ๋ก๊ทธ๋จ์ ํฌํจํฉ๋๋ค.</p>
<p>์ด์ ์ด ๋ชจ๋ธ๊ณผ ํ์ํ .so ํ์ผ์ ์ฝ์ด๋ค์ด๋ ๋ฐฉ๋ฒ์ ๋ณด์ฌ์ฃผ๊ธฐ ์ํด ์ CMake ํ๋ก์ ํธ๋ฅผ ์ ์ํ๊ฒ ์ต๋๋ค.
์ด ์์
์ ์ํํ๋ ๋ฐฉ๋ฒ์ ๋ํ ์์ธํ ๋ด์ฉ์ <a class="reference external" href="https://tutorials.pytorch.kr/advanced/cpp_export.html">C++์์ TorchScript ๋ชจ๋ธ ๋ก๋ฉํ๊ธฐ</a> ๋ฅผ
์ฐธ์กฐํ์ธ์.</p>
<p>์ด์ ๊ณผ ์ ์ฌํ๊ฒ ๋ค์์ ํฌํจํ๋ ํ์ผ ๊ตฌ์กฐ๋ฅผ ์์ฑํด ๋ณด๊ฒ ์ต๋๋ค:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cpp_inference_example</span><span class="o">/</span>
<span class="n">infer</span><span class="o">.</span><span class="n">cpp</span>
<span class="n">CMakeLists</span><span class="o">.</span><span class="n">txt</span>
<span class="n">foo</span><span class="o">.</span><span class="n">pt</span>
<span class="n">build</span><span class="o">/</span>
<span class="n">custom_class_project</span><span class="o">/</span>
<span class="n">class</span><span class="o">.</span><span class="n">cpp</span>
<span class="n">CMakeLists</span><span class="o">.</span><span class="n">txt</span>
<span class="n">build</span><span class="o">/</span>
</pre></div>
</div>
<p>์ง๋ ฌํ๋ foo.pt ํ์ผ๊ณผ ์์ <code class="docutils literal notranslate"><span class="pre">custom_class_project</span></code> ์์ค ํธ๋ฆฌ๋ฅผ ๋ณต์ฌํ์์ ์ฃผ๋ชฉํ์ธ์.
์ปค์คํ
ํด๋์ค๋ฅผ ๋ฐ์ด๋๋ฆฌ๋ก ๋น๋ํ ์ ์๋๋ก <code class="docutils literal notranslate"><span class="pre">custom_class_project</span></code> ๋ฅผ ์ด C++ ํ๋ก์ ํธ์ ์์กด์ฑ์ผ๋ก ์ถ๊ฐํ ๊ฒ์
๋๋ค.</p>
<p><code class="docutils literal notranslate"><span class="pre">infer.cpp</span></code> ๋ฅผ ๋ค์์ผ๋ก ์ฑ์ฐ๊ฒ ์ต๋๋ค:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="cp">#include</span><span class="w"> </span><span class="cpf"><torch/script.h></span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf"><iostream></span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf"><memory></span>
<span class="kt">int</span><span class="w"> </span><span class="nf">main</span><span class="p">(</span><span class="kt">int</span><span class="w"> </span><span class="n">argc</span><span class="p">,</span><span class="w"> </span><span class="k">const</span><span class="w"> </span><span class="kt">char</span><span class="o">*</span><span class="w"> </span><span class="n">argv</span><span class="p">[])</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">torch</span><span class="o">::</span><span class="n">jit</span><span class="o">::</span><span class="n">Module</span><span class="w"> </span><span class="k">module</span><span class="p">;</span>
<span class="w"> </span><span class="k">try</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// Deserialize the ScriptModule from a file using torch::jit::load().</span>
<span class="w"> </span><span class="k">module</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">torch</span><span class="o">::</span><span class="n">jit</span><span class="o">::</span><span class="n">load</span><span class="p">(</span><span class="s">"foo.pt"</span><span class="p">);</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="k">catch</span><span class="w"> </span><span class="p">(</span><span class="k">const</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">Error</span><span class="o">&</span><span class="w"> </span><span class="n">e</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">cerr</span><span class="w"> </span><span class="o"><<</span><span class="w"> </span><span class="s">"error loading the model</span><span class="se">\n</span><span class="s">"</span><span class="p">;</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">-1</span><span class="p">;</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o"><</span><span class="n">c10</span><span class="o">::</span><span class="n">IValue</span><span class="o">></span><span class="w"> </span><span class="n">inputs</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="s">"foobarbaz"</span><span class="p">};</span>
<span class="w"> </span><span class="k">auto</span><span class="w"> </span><span class="n">output</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">module</span><span class="p">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">).</span><span class="n">toString</span><span class="p">();</span>
<span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">cout</span><span class="w"> </span><span class="o"><<</span><span class="w"> </span><span class="n">output</span><span class="o">-></span><span class="n">string</span><span class="p">()</span><span class="w"> </span><span class="o"><<</span><span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">endl</span><span class="p">;</span>
<span class="p">}</span>
</pre></div>
</div>
<p>๋ง์ฐฌ๊ฐ์ง๋ก CMakeLists.txt ํ์ผ์ ์ ์ํด ๋ณด๊ฒ ์ต๋๋ค:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="n">cmake_minimum_required</span><span class="p">(</span><span class="n">VERSION</span><span class="w"> </span><span class="mf">3.1</span><span class="w"> </span><span class="n">FATAL_ERROR</span><span class="p">)</span>
<span class="n">project</span><span class="p">(</span><span class="n">infer</span><span class="p">)</span>
<span class="n">find_package</span><span class="p">(</span><span class="n">Torch</span><span class="w"> </span><span class="n">REQUIRED</span><span class="p">)</span>
<span class="n">add_subdirectory</span><span class="p">(</span><span class="n">custom_class_project</span><span class="p">)</span>
<span class="cp"># Define our library target</span>
<span class="n">add_executable</span><span class="p">(</span><span class="n">infer</span><span class="w"> </span><span class="n">infer</span><span class="p">.</span><span class="n">cpp</span><span class="p">)</span>
<span class="n">set</span><span class="p">(</span><span class="n">CMAKE_CXX_STANDARD</span><span class="w"> </span><span class="mi">14</span><span class="p">)</span>
<span class="cp"># Link against LibTorch</span>
<span class="n">target_link_libraries</span><span class="p">(</span><span class="n">infer</span><span class="w"> </span><span class="s">"${TORCH_LIBRARIES}"</span><span class="p">)</span>
<span class="cp"># This is where we link in our libcustom_class code, making our</span>
<span class="cp"># custom class available in our binary.</span>
<span class="n">target_link_libraries</span><span class="p">(</span><span class="n">infer</span><span class="w"> </span><span class="o">-</span><span class="n">Wl</span><span class="p">,</span><span class="o">--</span><span class="n">no</span><span class="o">-</span><span class="n">as</span><span class="o">-</span><span class="n">needed</span><span class="w"> </span><span class="n">custom_class</span><span class="p">)</span>
</pre></div>
</div>
<p><code class="docutils literal notranslate"><span class="pre">cd</span> <span class="pre">build</span></code>, <code class="docutils literal notranslate"><span class="pre">cmake</span></code>, ๋ฐ <code class="docutils literal notranslate"><span class="pre">make</span></code> ์ ๋ํ ์ฌ์ฉ ๋ฐฉ๋ฒ์ ์๊ณ ์์ต๋๋ค:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span><span class="nb">cd</span><span class="w"> </span>build
$<span class="w"> </span>cmake<span class="w"> </span>-DCMAKE_PREFIX_PATH<span class="o">=</span><span class="s2">"</span><span class="k">$(</span>python<span class="w"> </span>-c<span class="w"> </span><span class="s1">'import torch.utils; print(torch.utils.cmake_prefix_path)'</span><span class="k">)</span><span class="s2">"</span><span class="w"> </span>..
<span class="w"> </span>--<span class="w"> </span>The<span class="w"> </span>C<span class="w"> </span>compiler<span class="w"> </span>identification<span class="w"> </span>is<span class="w"> </span>GNU<span class="w"> </span><span class="m">7</span>.3.1
<span class="w"> </span>--<span class="w"> </span>The<span class="w"> </span>CXX<span class="w"> </span>compiler<span class="w"> </span>identification<span class="w"> </span>is<span class="w"> </span>GNU<span class="w"> </span><span class="m">7</span>.3.1
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>C<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/cc
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>C<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/cc<span class="w"> </span>--<span class="w"> </span>works
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compile<span class="w"> </span>features
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>C<span class="w"> </span>compile<span class="w"> </span>features<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>CXX<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/c++
<span class="w"> </span>--<span class="w"> </span>Check<span class="w"> </span><span class="k">for</span><span class="w"> </span>working<span class="w"> </span>CXX<span class="w"> </span>compiler:<span class="w"> </span>/opt/rh/devtoolset-7/root/usr/bin/c++<span class="w"> </span>--<span class="w"> </span>works
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compiler<span class="w"> </span>ABI<span class="w"> </span>info<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compile<span class="w"> </span>features
<span class="w"> </span>--<span class="w"> </span>Detecting<span class="w"> </span>CXX<span class="w"> </span>compile<span class="w"> </span>features<span class="w"> </span>-<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread.h
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread.h<span class="w"> </span>-<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span>-<span class="w"> </span>not<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthreads
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthreads<span class="w"> </span>-<span class="w"> </span>not<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthread
<span class="w"> </span>--<span class="w"> </span>Looking<span class="w"> </span><span class="k">for</span><span class="w"> </span>pthread_create<span class="w"> </span><span class="k">in</span><span class="w"> </span>pthread<span class="w"> </span>-<span class="w"> </span>found
<span class="w"> </span>--<span class="w"> </span>Found<span class="w"> </span>Threads:<span class="w"> </span>TRUE
<span class="w"> </span>--<span class="w"> </span>Found<span class="w"> </span>torch:<span class="w"> </span>/local/miniconda3/lib/python3.7/site-packages/torch/lib/libtorch.so
<span class="w"> </span>--<span class="w"> </span>Configuring<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Generating<span class="w"> </span><span class="k">done</span>
<span class="w"> </span>--<span class="w"> </span>Build<span class="w"> </span>files<span class="w"> </span>have<span class="w"> </span>been<span class="w"> </span>written<span class="w"> </span>to:<span class="w"> </span>/cpp_inference_example/build
$<span class="w"> </span>make<span class="w"> </span>-j
<span class="w"> </span>Scanning<span class="w"> </span>dependencies<span class="w"> </span>of<span class="w"> </span>target<span class="w"> </span>custom_class
<span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="m">25</span>%<span class="o">]</span><span class="w"> </span>Building<span class="w"> </span>CXX<span class="w"> </span>object<span class="w"> </span>custom_class_project/CMakeFiles/custom_class.dir/class.cpp.o
<span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="m">50</span>%<span class="o">]</span><span class="w"> </span>Linking<span class="w"> </span>CXX<span class="w"> </span>shared<span class="w"> </span>library<span class="w"> </span>libcustom_class.so
<span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="m">50</span>%<span class="o">]</span><span class="w"> </span>Built<span class="w"> </span>target<span class="w"> </span>custom_class
<span class="w"> </span>Scanning<span class="w"> </span>dependencies<span class="w"> </span>of<span class="w"> </span>target<span class="w"> </span>infer
<span class="w"> </span><span class="o">[</span><span class="w"> </span><span class="m">75</span>%<span class="o">]</span><span class="w"> </span>Building<span class="w"> </span>CXX<span class="w"> </span>object<span class="w"> </span>CMakeFiles/infer.dir/infer.cpp.o
<span class="w"> </span><span class="o">[</span><span class="m">100</span>%<span class="o">]</span><span class="w"> </span>Linking<span class="w"> </span>CXX<span class="w"> </span>executable<span class="w"> </span>infer
<span class="w"> </span><span class="o">[</span><span class="m">100</span>%<span class="o">]</span><span class="w"> </span>Built<span class="w"> </span>target<span class="w"> </span>infer
</pre></div>
</div>
<p>์ด์ ํฅ๋ฏธ๋ก์ด C++ ๋ฐ์ด๋๋ฆฌ๋ฅผ ์คํํ ์ ์์ต๋๋ค:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>./infer
<span class="w"> </span>momfoobarbaz
</pre></div>
</div>
<p>๋๋จํฉ๋๋ค!</p>
</div>
<div class="section" id="ivalues">
<h2>์ปค์คํ
ํด๋์ค๋ฅผ IValues๋ก/์์ ์ด๋<a class="headerlink" href="#ivalues" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>TorchScript ๋ฉ์๋์์ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ๋ฅผ ๊ฐ์ ธ์ค๊ฑฐ๋ ๋ฐํํ๊ธฐ, ๋๋ C++์์ ์ปค์คํ
ํด๋์ค ์์ฑ์ ์ธ์คํด์คํํ๋ ค๋
๊ฒฝ์ฐ์ ๊ฐ์ด ์ปค์คํ
ํด๋์ค๋ฅผ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ์ํ์ผ๋ก ์ด๋ํด์ผ ํ ์๋ ์์ต๋๋ค.
์ปค์คํ
C++ ํด๋์ค ์ธ์คํด์ค์์ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ๋ฅผ ์์ฑํ๋ ค๋ฉด:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">torch::make_custom_class<T>()</span></code> ๋ ์ ๊ณตํ๋ ์ธ์ ์งํฉ์ ์ฌ์ฉํ๊ณ ํด๋น ์ธ์ ์งํฉ๊ณผ ์ผ์นํ๋
T์ ์์ฑ์๋ฅผ ํธ์ถํ๋ฉฐ ํด๋น ์ธ์คํด์ค๋ฅผ ๋ํํ๊ณ ๋ฐํํ๋ c10::intrusive_ptr<T>์ ์ ์ฌํ API๋ฅผ ์ ๊ณตํฉ๋๋ค.
๊ทธ๋ฌ๋ ์ปค์คํ
ํด๋์ค ๊ฐ์ฒด์ ๋ํ ํฌ์ธํฐ๋ง ๋ฐํํ๋ ๋์ ๊ฐ์ฒด๋ฅผ ๋ํํ๋ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ๋ฅผ ๋ฐํํฉ๋๋ค.
๊ทธ๋ฐ ๋ค์ ์ด <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ๋ฅผ TorchScript์ ์ง์ ์ ๋ฌํ ์ ์์ต๋๋ค.</p></li>
<li><p>์ด๋ฏธ ํด๋์ค๋ฅผ ๊ฐ๋ฆฌํค๋ <code class="docutils literal notranslate"><span class="pre">intrusive_ptr</span></code> ์ด ์๋ ๊ฒฝ์ฐ ์์ฑ์ <code class="docutils literal notranslate"><span class="pre">IValue(intrusive_ptr<T>)</span></code> ๋ฅผ ์ฌ์ฉํ์ฌ
ํด๋น ํด๋์ค์์ IValue๋ฅผ ์ง์ ์์ฑํ ์ ์์ต๋๋ค.</p></li>
</ul>
<p><code class="docutils literal notranslate"><span class="pre">IValue</span></code> ๋ฅผ ์ปค์คํ
ํด๋์ค๋ก ๋ค์ ๋ณํํ๋ ค๋ฉด:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">IValue::toCustomClass<T>()</span></code> ๋ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ์ ํฌํจ๋ ์ปค์คํ
ํด๋์ค๋ฅผ ๊ฐ๋ฆฌํค๋ <code class="docutils literal notranslate"><span class="pre">intrusive_ptr<T></span></code> ๋ฅผ
๋ฐํํฉ๋๋ค. ๋ด๋ถ์ ์ผ๋ก ์ด ํจ์๋ <code class="docutils literal notranslate"><span class="pre">T</span></code> ๊ฐ ์ปค์คํ
ํด๋์ค๋ก ๋ฑ๋ก๋์ด ์๊ณ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ์ ์ค์ ๋ก ์ปค์คํ
ํด๋์ค๊ฐ
ํฌํจ๋์ด ์๋์ง ํ์ธํฉ๋๋ค. <code class="docutils literal notranslate"><span class="pre">isCustomClass()</span></code> ๋ฅผ ํธ์ถํ์ฌ <code class="docutils literal notranslate"><span class="pre">IValue</span></code> ์ ์ปค์คํ
ํด๋์ค๊ฐ ํฌํจ๋์ด ์๋์ง
์๋์ผ๋ก ํ์ธํ ์ ์์ต๋๋ค.</p></li>
</ul>
</div>
<div class="section" id="id2">
<h2>์ปค์คํ
C++ ํด๋์ค์ ๋ํ ์ง๋ ฌํ/์ญ์ง๋ ฌํ ๋ฐฉ๋ฒ ์ ์<a class="headerlink" href="#id2" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>์ปค์คํ
๋ฐ์ธ๋ฉ ๋ C++ ํด๋์ค๋ฅผ ์์ฑ์ผ๋ก ์ฌ์ฉํ์ฌ <code class="docutils literal notranslate"><span class="pre">ScriptModule</span></code> ์ ์ ์ฅํ๋ ค๊ณ ํ๋ฉด
๋ค์ ์ค๋ฅ๊ฐ ๋ฐ์ํฉ๋๋ค:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># export_attr.py</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">load_library</span><span class="p">(</span><span class="s1">'build/libcustom_class.so'</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">Foo</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stack</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span><span class="p">([</span><span class="s2">"just"</span><span class="p">,</span> <span class="s2">"testing"</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">stack</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span> <span class="o">+</span> <span class="n">s</span>
<span class="n">scripted_foo</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">script</span><span class="p">(</span><span class="n">Foo</span><span class="p">())</span>
<span class="n">scripted_foo</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s1">'foo.pt'</span><span class="p">)</span>
<span class="n">loaded</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s1">'foo.pt'</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">loaded</span><span class="o">.</span><span class="n">stack</span><span class="o">.</span><span class="n">pop</span><span class="p">())</span>
</pre></div>
</div>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>python<span class="w"> </span>export_attr.py
RuntimeError:<span class="w"> </span>Cannot<span class="w"> </span>serialize<span class="w"> </span>custom<span class="w"> </span>bound<span class="w"> </span>C++<span class="w"> </span>class<span class="w"> </span>__torch__.torch.classes.my_classes.MyStackClass.<span class="w"> </span>Please<span class="w"> </span>define<span class="w"> </span>serialization<span class="w"> </span>methods<span class="w"> </span>via<span class="w"> </span>def_pickle<span class="w"> </span><span class="k">for</span><span class="w"> </span>this<span class="w"> </span>class.<span class="w"> </span><span class="o">(</span>pushIValueImpl<span class="w"> </span>at<span class="w"> </span>../torch/csrc/jit/pickler.cpp:128<span class="o">)</span>
</pre></div>
</div>
<p>TorchScript๊ฐ C++ ํด๋์ค์์ ์ ์ฅํ ์ ๋ณด๋ฅผ ์๋์ผ๋ก ํ์
ํ ์ ์๊ธฐ ๋๋ฌธ์
๋๋ค.
์๋์ผ๋ก ์ง์ ํด์ผ ํฉ๋๋ค. ๊ทธ๋ ๊ฒ ํ๋ ๋ฐฉ๋ฒ์ <code class="docutils literal notranslate"><span class="pre">class_</span></code> ์์ ํน๋ณํ <code class="docutils literal notranslate"><span class="pre">def_pickle</span></code> ๋ฉ์๋๋ฅผ
์ฌ์ฉํ์ฌ ํด๋์ค์์ <code class="docutils literal notranslate"><span class="pre">__getstate__</span></code> ๋ฐ <code class="docutils literal notranslate"><span class="pre">__setstate__</span></code> ๋ฉ์๋๋ฅผ ์ ์ํ๋ ๊ฒ์
๋๋ค.</p>
<div class="admonition note">
<p class="admonition-title">์ฐธ๊ณ </p>
<p>TorchScript์์ <code class="docutils literal notranslate"><span class="pre">__getstate__</span></code> ๋ฐ <code class="docutils literal notranslate"><span class="pre">__setstate__</span></code> ์ ์๋ฏธ๋ Python pickle ๋ชจ๋์ ์๋ฏธ์ ๋์ผํฉ๋๋ค.
์ด๋ฌํ ๋ฐฉ๋ฒ์ ์ด๋ป๊ฒ ์ฌ์ฉํ๋์ง์ ๋ํ์ฌ <a class="reference external" href="https://github.com/pytorch/pytorch/blob/master/torch/csrc/jit/docs/serialization.md#getstate-and-setstate">์์ธํ ๋ด์ฉ</a> ์
์ฐธ์กฐํ์ธ์.</p>
</div>
<p>๋ค์์ ์ง๋ ฌํ ๋ฉ์๋๋ฅผ ํฌํจํ๊ธฐ ์ํด <code class="docutils literal notranslate"><span class="pre">MyStackClass</span></code> ๋ฑ๋ก์ ์ถ๊ฐํ ์ ์๋ <code class="docutils literal notranslate"><span class="pre">def_pickle</span></code> ํธ์ถ์ ์์์
๋๋ค:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="w"> </span><span class="c1">// class_<>::def_pickle allows you to define the serialization</span>
<span class="w"> </span><span class="c1">// and deserialization methods for your C++ class.</span>
<span class="w"> </span><span class="c1">// Currently, we only support passing stateless lambda functions</span>
<span class="w"> </span><span class="c1">// as arguments to def_pickle</span>
<span class="w"> </span><span class="p">.</span><span class="n">def_pickle</span><span class="p">(</span>
<span class="w"> </span><span class="c1">// __getstate__</span>
<span class="w"> </span><span class="c1">// This function defines what data structure should be produced</span>
<span class="w"> </span><span class="c1">// when we serialize an instance of this class. The function</span>
<span class="w"> </span><span class="c1">// must take a single `self` argument, which is an intrusive_ptr</span>
<span class="w"> </span><span class="c1">// to the instance of the object. The function can return</span>
<span class="w"> </span><span class="c1">// any type that is supported as a return value of the TorchScript</span>
<span class="w"> </span><span class="c1">// custom operator API. In this instance, we've chosen to return</span>
<span class="w"> </span><span class="c1">// a std::vector<std::string> as the salient data to preserve</span>
<span class="w"> </span><span class="c1">// from the class.</span>
<span class="w"> </span><span class="p">[](</span><span class="k">const</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>>&</span><span class="w"> </span><span class="n">self</span><span class="p">)</span>
<span class="w"> </span><span class="o">-></span><span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">></span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">self</span><span class="o">-></span><span class="n">stack_</span><span class="p">;</span>
<span class="w"> </span><span class="p">},</span>
<span class="w"> </span><span class="c1">// __setstate__</span>
<span class="w"> </span><span class="c1">// This function defines how to create a new instance of the C++</span>
<span class="w"> </span><span class="c1">// class when we are deserializing. The function must take a</span>
<span class="w"> </span><span class="c1">// single argument of the same type as the return value of</span>
<span class="w"> </span><span class="c1">// `__getstate__`. The function must return an intrusive_ptr</span>
<span class="w"> </span><span class="c1">// to a new instance of the C++ class, initialized however</span>
<span class="w"> </span><span class="c1">// you would like given the serialized state.</span>
<span class="w"> </span><span class="p">[](</span><span class="n">std</span><span class="o">::</span><span class="n">vector</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">></span><span class="w"> </span><span class="n">state</span><span class="p">)</span>
<span class="w"> </span><span class="o">-></span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>></span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// A convenient way to instantiate an object and get an</span>
<span class="w"> </span><span class="c1">// intrusive_ptr to it is via `make_intrusive`. We use</span>
<span class="w"> </span><span class="c1">// that here to allocate an instance of MyStackClass<std::string></span>
<span class="w"> </span><span class="c1">// and call the single-argument std::vector<std::string></span>
<span class="w"> </span><span class="c1">// constructor with the serialized state.</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">make_intrusive</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>></span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="n">move</span><span class="p">(</span><span class="n">state</span><span class="p">));</span>
<span class="w"> </span><span class="p">});</span>
</pre></div>
</div>
<div class="admonition note">
<p class="admonition-title">์ฐธ๊ณ </p>
<p>pickle API์์ pybind11๊ณผ ๋ค๋ฅธ ์ ๊ทผ ๋ฐฉ์์ ์ทจํฉ๋๋ค. pybind11์ด <code class="docutils literal notranslate"><span class="pre">class_::def()</span></code> ๋ก
์ ๋ฌ๋๋ ํน์ ํจ์ <code class="docutils literal notranslate"><span class="pre">pybind11::pickle()</span></code> ์ธ ๋ฐ๋ฉด, ์ด ๋ชฉ์ ์ ์ํด ๋ณ๋์ ๋ฉ์๋
<code class="docutils literal notranslate"><span class="pre">def_pickle</span></code> ๋ฅผ ๊ฐ์ง๊ณ ์์ต๋๋ค. ์ด๋ฏธ <code class="docutils literal notranslate"><span class="pre">torch::jit::pickle</span></code> ๋ผ๋ ์ด๋ฆ์ด ์ฌ์ฉ๋์๊ณ
ํผ๋์ ์ผ์ผํค๊ณ ์ถ์ง ์์๊ธฐ ๋๋ฌธ์
๋๋ค.</p>
</div>
<p>์ด๋ฌํ ๋ฐฉ์์ผ๋ก (์ญ)์ง๋ ฌํ ๋์์ ์ ์ํ๋ฉด ์ด์ ์คํฌ๋ฆฝํธ๋ฅผ ์ฑ๊ณต์ ์ผ๋ก ์คํํ ์ ์์ต๋๋ค:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>python<span class="w"> </span>../export_attr.py
testing
</pre></div>
</div>
</div>
<div class="section" id="id4">
<h2>๋ฐ์ธ๋ฉ๋ C++ ํด๋์ค๋ฅผ ์ฌ์ฉํ๊ฑฐ๋ ๋ฐํํ๋ ์ปค์คํ
์ฐ์ฐ์ ์ ์<a class="headerlink" href="#id4" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>์ปค์คํ
C++ ํด๋์ค๋ฅผ ์ ์ํ ํ์๋ ํด๋น ํด๋์ค๋ฅผ ์ธ์๋ก ์ฌ์ฉํ๊ฑฐ๋ ์ปค์คํ
์ฐ์ฐ์(์๋ฅผ ๋ค์ด free ํจ์)์์
๋ฐํํ ์๋ ์์ต๋๋ค. ๋ค์๊ณผ ๊ฐ์ free ํจ์๊ฐ ์๋ค๊ณ ๊ฐ์ ํฉ๋๋ค:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>></span><span class="w"> </span><span class="n">manipulate_instance</span><span class="p">(</span><span class="k">const</span><span class="w"> </span><span class="n">c10</span><span class="o">::</span><span class="n">intrusive_ptr</span><span class="o"><</span><span class="n">MyStackClass</span><span class="o"><</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">>>&</span><span class="w"> </span><span class="n">instance</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">instance</span><span class="o">-></span><span class="n">pop</span><span class="p">();</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">instance</span><span class="p">;</span>
<span class="p">}</span>
</pre></div>
</div>
<p><code class="docutils literal notranslate"><span class="pre">TORCH_LIBRARY</span></code> ๋ธ๋ก ๋ด์์ ๋ค์ ์ฝ๋๋ฅผ ์คํํ์ฌ ๋ฑ๋กํ ์ ์์ต๋๋ค:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span>
<span class="w"> </span><span class="s">"manipulate_instance(__torch__.torch.classes.my_classes.MyStackClass x) -> __torch__.torch.classes.my_classes.MyStackClass Y"</span><span class="p">,</span>
<span class="w"> </span><span class="n">manipulate_instance</span>
<span class="w"> </span><span class="p">);</span>
</pre></div>
</div>
<p>๋ฑ๋ก API์ ๋ํ ์์ธํ ๋ด์ฉ์ <a class="reference external" href="https://tutorials.pytorch.kr/advanced/torch_script_custom_ops.html">์ปค์คํ
C++ ์ฐ์ฐ์๋ก TorchScript ํ์ฅ</a> ์
์ฐธ์กฐํ์ธ์.</p>
<p>์ด ์์
์ด ์๋ฃ๋๋ฉด ๋ค์ ์์ ์ ๊ฐ์ด ์ฐ์ฐ์๋ฅผ ์ฌ์ฉํ ์ ์์ต๋๋ค:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">class</span> <span class="nc">TryCustomOp</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">TryCustomOp</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">f</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">classes</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">MyStackClass</span><span class="p">([</span><span class="s2">"foo"</span><span class="p">,</span> <span class="s2">"bar"</span><span class="p">])</span>
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">my_classes</span><span class="o">.</span><span class="n">manipulate_instance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">f</span><span class="p">)</span>
</pre></div>
</div>
<div class="admonition note">
<p class="admonition-title">์ฐธ๊ณ </p>
<p>C++ ํด๋์ค๋ฅผ ์ธ์๋ก ์ฌ์ฉํ๋ ์ฐ์ฐ์๋ฅผ ๋ฑ๋กํ๋ ค๋ฉด ์ปค์คํ
ํด๋์ค๊ฐ ์ด๋ฏธ ๋ฑ๋ก๋์ด
์์ด์ผ ํฉ๋๋ค. ์ปค์คํ
ํด๋์ค ๋ฑ๋ก๊ณผ free ํจ์ ์ ์๊ฐ ๋์ผํ <code class="docutils literal notranslate"><span class="pre">TORCH_LIBRARY</span></code>
๋ธ๋ก์ ์๊ณ ์ปค์คํ
ํด๋์ค ๋ฑ๋ก์ด ๋จผ์ ์ค๊ฒ ํ์ฌ ์ด๋ฅผ ์ํํ ์ ์์ต๋๋ค.
ํฅํ ์ด๋ค ์์๋ก๋ ๋ฑ๋กํ ์ ์๋๋ก ์ด ์๊ตฌ์ฌํญ์ ์ํํ ์ ์์ต๋๋ค.</p>
</div>
</div>
<div class="section" id="id6">
<h2>๊ฒฐ๋ก <a class="headerlink" href="#id6" title="์ด ์ ๋ชฉ์ ๋ํ ํผ๋จธ๋งํฌ">ยถ</a></h2>
<p>์ด ํํ ๋ฆฌ์ผ์์๋ ๋
๋ฆฝ๋ C++ ํ๋ก์ธ์ค์์ C++ ํด๋์ค๋ฅผ TorchScript ๋ฐ
ํ์ฅ Python์ ๋ํ๋ด๋ ๋ฐฉ๋ฒ, ํด๋น ๋ฉ์๋๋ฅผ ๋ฑ๋กํ๋ ๋ฐฉ๋ฒ, Python ๋ฐ TorchScript์์
ํด๋น ํด๋์ค๋ฅผ ์ฌ์ฉํ๋ ๋ฐฉ๋ฒ, ํด๋์ค๋ฅผ ์ฌ์ฉํ์ฌ ์ฝ๋๋ฅผ ์ ์ฅ ๋ฐ ์ฝ์ด๋ค์ด๊ณ ํด๋น ์ฝ๋๋ฅผ ์คํํ๋ ๋ฐฉ๋ฒ์ ์๋ดํ์ต๋๋ค.
์ด์ ํ์ฌ C++ ๋ผ์ด๋ธ๋ฌ๋ฆฌ์ ์ธํฐํ์ด์ค๊ฐ ์๋ C++ ํด๋์ค๋ก TorchScript ๋ชจ๋ธ์ ํ์ฅํ๊ฑฐ๋,
Python, TorchScript ๋ฐ C++ ๊ฐ์ ๋ผ์ธ์ด ์ํํ๊ฒ ํผํฉ๋์ด์ผ ํ๋ ๋ค๋ฅธ ์ฌ์ฉ ์ฌ๋ก๋ฅผ ๊ตฌํํ ์ค๋น๊ฐ ๋์์ต๋๋ค.</p>
<p>์ธ์ ๋์ฒ๋ผ ๋ฌธ์ ๋ฅผ ๋ง์ฃผ์น๊ฑฐ๋ ์ง๋ฌธ์ด ์์ผ๋ฉด ์ ํฌ <a class="reference external" href="https://discuss.pytorch.org/">forum</a> ๋๋
<a class="reference external" href="https://github.com/pytorch/pytorch/issues">GitHub issues</a> ์ ์ฌ๋ ค์ฃผ์๋ฉด ๋๊ฒ ์ต๋๋ค.
๋ํ <a class="reference external" href="https://pytorch.org/cppdocs/notes/faq.html">์์ฃผ ๋ฌป๋ ์ง๋ฌธ(FAQ) ํ์ด์ง</a> ์
์ ์ฉํ ์ ๋ณด๊ฐ ์์ ์ ์์ต๋๋ค.</p>
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