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<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ๋ ์ํผ</span></p>
<ul>
<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>
</ul>
<p class="caption"><span class="caption-text">ํ์ดํ ์น(PyTorch) ์์ํ๊ธฐ</span></p>
<ul>
<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>
</ul>
<p class="caption"><span class="caption-text">Introduction to PyTorch on YouTube</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt.html">Introduction to PyTorch - YouTube Series</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/introyt1_tutorial.html">Introduction to PyTorch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/introyt/tensors_deeper_tutorial.html">Introduction to PyTorch Tensors</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"><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"><span class="caption-text">์ด๋ฏธ์ง/๋น๋์ค</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/torchvision_tutorial.html">TorchVision ๊ฐ์ฒด ๊ฒ์ถ ๋ฏธ์ธ์กฐ์ (Finetuning) ํํ ๋ฆฌ์ผ</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 ์ํ ๋น์ ํธ๋์คํฌ๋จธ(Vision Transformer) ๋ชจ๋ธ ์ต์ ํํ๊ธฐ</a></li>
</ul>
<p class="caption"><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/speech_command_classification_with_torchaudio_tutorial.html">Speech Command Classification with torchaudio</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/text_to_speech_with_torchaudio.html">Text-to-speech with torchaudio</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/forced_alignment_with_torchaudio_tutorial.html">Forced Alignment with Wav2Vec2</a></li>
</ul>
<p class="caption"><span class="caption-text">ํ
์คํธ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/transformer_tutorial.html">nn.Transformer ์ TorchText ๋ก ์ํ์ค-ํฌ-์ํ์ค(Sequence-to-Sequence) ๋ชจ๋ธ๋งํ๊ธฐ</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">nn.Transformer์ torchtext๋ก ์ธ์ด ๋ฒ์ญํ๊ธฐ</a></li>
</ul>
<p class="caption"><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/mario_rl_tutorial.html">Train a Mario-playing RL Agent</a></li>
</ul>
<p class="caption"><span class="caption-text">PyTorch ๋ชจ๋ธ์ ํ๋ก๋์
ํ๊ฒฝ์ ๋ฐฐํฌํ๊ธฐ</span></p>
<ul>
<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>
</ul>
<p class="caption"><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"><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="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"><span class="caption-text">PyTorch ํ์ฅํ๊ธฐ</span></p>
<ul>
<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"><a class="reference internal" href="torch_script_custom_classes.html">์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>
</ul>
<p class="caption"><span class="caption-text">๋ชจ๋ธ ์ต์ ํ</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/profiler.html">PyTorch ๋ชจ๋ ํ๋กํ์ผ๋ง ํ๊ธฐ</a></li>
<li class="toctree-l1"><a class="reference internal" href="../intermediate/tensorboard_profiler_tutorial.html">PyTorch Profiler With TensorBoard</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/hyperparameter_tuning_tutorial.html">Hyperparameter tuning with Ray Tune</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/vt_tutorial.html">๋ฐฐํฌ๋ฅผ ์ํ ๋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">(beta) Static Quantization with Eager Mode in PyTorch</a></li>
</ul>
<p class="caption"><span class="caption-text">๋ณ๋ ฌ ๋ฐ ๋ถ์ฐ ํ์ต</span></p>
<ul>
<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="../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/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="../intermediate/pipeline_tutorial.html">ํ์ดํ๋ผ์ธ ๋ณ๋ ฌํ๋ก ํธ๋์คํฌ๋จธ ๋ชจ๋ธ ํ์ต์ํค๊ธฐ</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"><span class="caption-text">Mobile</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../beginner/deeplabv3_on_ios.html">iOS์์์ ์ด๋ฏธ์ง ๋ถํ DeepLapV3</a></li>
<li class="toctree-l1"><a class="reference internal" href="../beginner/deeplabv3_on_android.html">์๋๋ก์ด๋์์์ ์ด๋ฏธ์ง ๋ถํ DeepLapV3</a></li>
</ul>
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<div class="section" id="onnx-live">
<h1>ONNX Live ํํ ๋ฆฌ์ผ<a class="headerlink" href="#onnx-live" title="Permalink to this headline">ยถ</a></h1>
<p>์ด ํํ ๋ฆฌ์ผ์ PyTorch์์ ๋์จ neural style transfer ๋ชจ๋ธ์ Apple CoreML ํ์์ผ๋ก ONNX์ ์ด์ฉํ์ฌ ๋ณํํ๋ ๋ฐฉ๋ฒ์ ์๊ฐํฉ๋๋ค.
๋ํ, ์ด ํํ ๋ฆฌ์ผ ์ด๋ป๊ฒ Apple ์ฅ์น๋ค์ ๋ฅ ๋ฌ๋ ๋ชจ๋ธ๋ค์ ์ฌ์ฉํ๋์ง ์๋ ค์ฃผ๊ณ ํนํ๋ ์ด๋ฒ ํํ ๋ฆฌ์ผ์์๋ ์นด๋ฉ๋ผ๋ก๋ถํฐ ์ค์๊ฐ ์คํธ๋ฆผ์ ์ด์ฉํฉ๋๋ค.</p>
<div class="section" id="onnx">
<h2>ONNX๋ ๋ฌด์์ธ๊ฐ?<a class="headerlink" href="#onnx" title="Permalink to this headline">ยถ</a></h2>
<p>ONNX (Open Neural Network Exchange) ๋ ๋ฅ ๋ฌ๋ ๋ชจ๋ธ๋ค์ ๋ํํ๋ ๊ณต๊ฐ๋์ด์๋ ํ์์
๋๋ค.
ONNX๋ AI ๊ฐ๋ฐ์๋ค์ด ์ต์ฒจ๋จ์ ๋๊ตฌ๋ค๊ณผ ๋ชจ๋ธ๋ค์ ์กฐํฉ์ ๊ทธ๋ค์๊ฒ ๊ฐ์ฅ ์ ๋ง๋ ๊ฒ์ ์ฝ๊ฒ ์ ํํ๋๋ก ํด์ค๋๋ค.
ONNX๋ ์ปค๋ฎค๋ํฐ์ ํํธ๋๋ค์ด ๊ฐ๋ฐํ๋ฉฐ ๋ํ ์ง์๋ฉ๋๋ค.
ONNX์ ์ด๋ค ๋๊ตฌ๋ค์ด ์ง์๋๋์ง๋ <a class="reference external" href="https://onnx.ai/">onnx.ai</a> ๋ฅผ ๋ฐฉ๋ฌธํ์ฌ ๋ ์์๋ณผ ์ ์์ต๋๋ค.</p>
</div>
<div class="section" id="id1">
<h2>ํํ ๋ฆฌ์ผ ๊ฐ์<a class="headerlink" href="#id1" title="Permalink to this headline">ยถ</a></h2>
<p>This tutorial will walk you through 4 main steps:
์ด๋ฒ ํํ ๋ฆฌ์ผ์์๋ 4๊ฐ์ง ์ค์ฌ ์ฌํญ๋ค์ ์๊ฐํด๋๋ฆฌ๊ฒ ์ต๋๋ค.</p>
<ol class="arabic simple">
<li><a href="#id4"><span class="problematic" id="id5">`Download (or train) PyTorch style transfer models`_</span></a></li>
<li><a class="reference internal" href="#pytorch-style-transfer">PyTorch style transfer ๋ชจ๋ธ ๋ค์ด๋ก๋ (๋๋ ํ์ต์ํค๊ธฐ)</a></li>
<li><a class="reference internal" href="#pytorch-onnx">PyTorch ๋ชจ๋ธ์ ONNX ๋ชจ๋ธ๋ก ๋ณํํ๊ธฐ</a></li>
<li><a class="reference internal" href="#onnx-coreml">ONNX ๋ชจ๋ธ์ CoreML ๋ชจ๋ธ๋ก ๋ณํํ๊ธฐ</a></li>
<li><a href="#id6"><span class="problematic" id="id7">`style transfer iOS App ์์ CoreML ๋ชจ๋ธ ๋๋ฆฌ๊ธฐ`_</span></a></li>
</ol>
</div>
<div class="section" id="id2">
<h2>๊ฐ๋ฐ ํ๊ฒฝ ์ค๋นํ๊ธฐ<a class="headerlink" href="#id2" title="Permalink to this headline">ยถ</a></h2>
<p>ํ์ฌ ๋ก์ปฌ์ ์ค์น๋์ด์๋ ํจํค์ง๋ค๊ณผ์ ์ถฉ๋์ ํผํ๊ธฐ ์ํด virtualenv๋ฅผ ์ฌ์ฉํ๊ฒ ์ต๋๋ค.
ํํ ๋ฆฌ์ผ์์ Python 3.6 ๋ฒ์ ์ ์ฌ์ฉํ์ง๋ง ๋ค๋ฅธ ๋ฒ์ ๋ ์๋ํ๋๋ฐ ๋ฌด๋ฆฌ๊ฐ ์์ต๋๋ค.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">python3</span><span class="o">.</span><span class="mi">6</span> <span class="o">-</span><span class="n">m</span> <span class="n">venv</span> <span class="n">venv</span>
<span class="n">source</span> <span class="o">./</span><span class="n">venv</span><span class="o">/</span><span class="nb">bin</span><span class="o">/</span><span class="n">activate</span>
</pre></div>
</div>
<p>PyTorch์ onnx-coreml ๋ณํํด์ฃผ๋ ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ฅผ ์ค์นํด์ผํฉ๋๋ค.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install torchvision onnx-coreml
</pre></div>
</div>
<p>iPhone ์์ iOS style transfer ์ดํ๋ฆฌ์ผ์ด์
์ ์คํํ๋ ค๋ฉด XCode ๊ฐ ํ์ํฉ๋๋ค.
Linux ์์๋ ๋ชจ๋ธ์ ๋ณํํ ์ ์์ง๋ง, iOS ์ดํ๋ฆฌ์ผ์ด์
์ ์คํ ํ๋ ค๋ฉด Mac ์ด ํ์ํฉ๋๋ค.</p>
</div>
<div class="section" id="pytorch-style-transfer">
<h2>PyTorch style transfer ๋ชจ๋ธ ๋ค์ด๋ก๋ (๋๋ ํ์ต์ํค๊ธฐ)<a class="headerlink" href="#pytorch-style-transfer" title="Permalink to this headline">ยถ</a></h2>
<p>์ด๋ฒ ํํ ๋ฆฌ์ผ์์ ์ฐ๋ฆฌ๋ <a class="reference external" href="https://github.com/pytorch/examples/tree/master/fast_neural_style">https://github.com/pytorch/examples/tree/master/fast_neural_style</a> ์ PyTorch ๋ก ๋ง๋ค์ด์ง style transfer ์ ์ด์ฉํ๊ฒ ์ต๋๋ค.
๋ค๋ฅธ PyTorch ๋ ONNX ๋ชจ๋ธ์ ์ฌ์ฉํ๊ธธ ์ํ๋ค๋ฉด ์ด๋ฒ ๋จ๊ณ๋ฅผ ์๋ตํด๋ ์ข์ต๋๋ค.</p>
<p>์ด ๋ชจ๋ธ๋ค์ ์ด๋ฏธ์ง์ style transfer ๊ฐ ์ ์ฉ๋๋๋ก ๋ง๋ค์ด์ ธ์ ๋น๋์ค์ ์ ์ฉํ๊ธฐ์๋ ์ต์ ํ๊ฐ ๋์ด์์ง ์์ ์ถฉ๋ถํ ๋น ๋ฅด์ง ์์ต๋๋ค.
ํ์ง๋ง ํด์๋๋ฅผ ์ด๋ ์ ๋ ๋ฎ์ถ๋ค๋ฉด ๋น๋์ค์์ ์ถฉ๋ถํ ์๋์ ์๋๋ฉ๋๋ค.</p>
<p>๋ชจ๋ธ๋ค์ ๋ค์ด๋ฐ์๋ด
์๋ค.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git clone https://github.com/pytorch/examples
<span class="nb">cd</span> examples/fast_neural_style
</pre></div>
</div>
<p>์ง์ ๋ชจ๋ธ์ ํ๋ จ์ํค๊ธฐ ์ํ๋ค๋ฉด ๋ฐฉ๊ธ ํด๋ก ํ ์ ์ฅ์์ pytorch/examples ๋ฅผ ๋ฐฉ๋ฌธํ๋ฉด ์ด๋ป๊ฒ ํด์ผํ๋์ง์ ๋ํ ๋ ๋ง์ ์ ๋ณด๊ฐ ์์ต๋๋ค.
์ง๊ธ์ ์ ์ฅ์์์ ์ ๊ณตํด์ฃผ๋ ์คํฌ๋ฆฝํธ๋ฅผ ์ฌ์ฉํ์ฌ ๋ฏธ๋ฆฌ ํ๋ จ๋ ๋ชจ๋ธ์ ๋ค์ด๋ก๋ํ๊ฒ ์ต๋๋ค:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python download_saved_models.py
</pre></div>
</div>
<p>์ด ์คํฌ๋ฆฝํธ๋ ๋ฏธ๋ฆฌ ํ๋ จ๋ PyTorch ๋ชจ๋ธ๋ค์ ๋ค์ด๋ฐ๊ณ <code class="docutils literal notranslate"><span class="pre">saved_models</span></code> ํด๋์ ์ ์ฅํฉ๋๋ค.
ํด๋์๋ 4๊ฐ์ง ํ์ผ <code class="docutils literal notranslate"><span class="pre">candy.pth</span></code>, <code class="docutils literal notranslate"><span class="pre">mosaic.pth</span></code>, <code class="docutils literal notranslate"><span class="pre">rain_princess.pth</span></code> ๊ทธ๋ฆฌ๊ณ <code class="docutils literal notranslate"><span class="pre">udnie.pth</span></code> ๊ฐ ํด๋์ ๋ค์ด ๋ฐ์์ก์ต๋๋ค.</p>
</div>
<div class="section" id="pytorch-onnx">
<h2>PyTorch ๋ชจ๋ธ์ ONNX ๋ชจ๋ธ๋ก ๋ณํํ๊ธฐ<a class="headerlink" href="#pytorch-onnx" title="Permalink to this headline">ยถ</a></h2>
<p>์ด์ ์ฐ๋ฆฌ๋ ๋ฏธ๋ฆฌ ํ๋ จ๋ PyTorch ๋ชจ๋ธ๋ค์ <code class="docutils literal notranslate"><span class="pre">saved_models</span></code> ํด๋์ <code class="docutils literal notranslate"><span class="pre">.pth</span></code> ํ์ผ๋ก ๊ฐ์ง๊ณ ์์ด์ ๋์ค์ ์ ๋ชจ๋ธ๋ค์ ONNX ํ์์ผ๋ก ๋ณํ ํ ์ ์์ต๋๋ค.
๋ชจ๋ธ ์ ์๋ ๋ฐฉ๊ธ ์ ํด๋ก ํ๋ ์ ์ฅ์์ pytorch/examples ์ ์์ผ๋ฉฐ ๋จ ๋ช ์ค์ ํ์ด์ฌ ์ฝ๋๋ฅผ ์ด์ฉํด์ ONNX ๋ก ๋ณํ ํ ์ ์์ต๋๋ค.
์ธ๊ณต ์ ๊ฒฝ๋ง์ ์ค์ ๋ก ์คํํ๋ ๋์ ์ด๋ฌํ ๊ฒฝ์ฐ์๋ ์ฐ๋ฆฌ๋ <code class="docutils literal notranslate"><span class="pre">torch.onnx._export</span></code>๋ฅผ ํธ์ถํ๋๋ฐ ์ด๊ฒ์ PyTorch ๊ฐ ์ ๊ณตํ๋ API ๋ก PyTorch ์์ ์ง์ ์ ์ผ๋ก ONNX ํ์์ ๋ชจ๋ธ๋ก ๋ณํํฉ๋๋ค.
ํ์ง๋ง ์ด๋ฒ ๊ฒฝ์ฐ์๋ ์ฐ๋ฆฌ๋ ์ ๊ฒ์ ํธ์ถ ์ํด๋ ๋๋๋ฐ ๊ทธ ์ด์ ๋ ์ ๋ฐ ๊ธฐ๋ฅ์ ์ฐ๋ฆฌ๋ฅผ ์ํด ๋์ ํด์ฃผ๋ ์คํฌ๋ฆฝํธ๊ฐ <code class="docutils literal notranslate"><span class="pre">neural_style/neural_style.py</span></code> ์ ์๊ธฐ ๋๋ฌธ์
๋๋ค.
You can also take a look at that script if you would like to apply it to other models.
๋ค๋ฅธ ๋ชจ๋ธ์ ์ ์คํฌ๋ฆฝํธ๋ฅผ ์ ์ฉํ๊ธธ ์ํ์๋ฉด ์คํฌ๋ฆฝํธ๋ฅผ ๋ณด๋๊ฒ๋ ์ข์ต๋๋ค.</p>
<p>PyTorch ์์ ONNX ํ์์ผ๋ก ๋ณํํ๋๊ฒ์ ๊ฒฐ๊ณผ์ ์ผ๋ก ๋น์ ์ ์ ๊ฒฝ๋ง์ ์ถ์ ํด ๋๊ฐ๋๊ฒ๊ณผ ๊ฐ์ต๋๋ค. ์ด API ํธ์ถ์ ๋ด๋ถ์ ์ผ๋ก ๊ทธ๋ํ๋ฅผ ์์ฑํด๋ด๊ธฐ ์ํด โ๋๋ฏธ ๋ฐ์ดํฐโ ๋ฅผ ์ด์ฉํ์ฌ ์ ๊ฒฝ๋ง์ ์คํํฉ๋๋ค.
์ด๋ ๊ธฐ ๋๋ฌธ์ ์
๋ ฅ๊ฐ์ผ๋ก style transfer ๋ฅผ ์ ์ฉํ ์ด๋ฏธ์ง๊ฐ ์
๋ ฅ๊ฐ์ผ๋ก ํ์ํ๋ฉฐ ๊ธฐ๋ณธ์ ์ธ ๋น์ด์๋ ์ด๋ฏธ์ง์ฌ๋ ๋ฉ๋๋ค.
๊ทธ๋ฌ๋ ์ด๋ฏธ์ง์ ํฝ์
ํฌ๊ธฐ๋ ์ค์ํ๋ฐ ๊ทธ ์ด์ ๋ ํฝ์
ํฌ๊ธฐ๋ ๋ณํ๋ style transfer ๋ชจ๋ธ์ ํฌ๊ธฐ๋ก๋ ์ด์ฉ๋๊ธฐ ๋๋ฌธ์
๋๋ค.
์ข์ ํผํฌ๋จผ์ค๋ฅผ ์ป๊ธฐ ์ํด ์ฐ๋ฆฌ๋ 250x540 ์ ํด์๋๋ฅผ ์ฌ์ฉํ ์์ ์
๋๋ค. FPS๋ณด๋ค style transfer์ ํ์ง์ ๋ ๋ง์ด ์ ๊ฒฝ ์ฐ์ ๋ค๋ฉด ๋ ํฐ ํด์๋๋ฅผ ์ฌ์ฉํ์
๋ ๋ฉ๋๋ค.</p>
<p><a class="reference external" href="https://www.imagemagick.org/">ImageMagick</a> ์ ์ฌ์ฉํ์ฌ ์ฐ๋ฆฌ๊ฐ ์ํ๋ ํฌ๊ธฐ์ ๋น์ด์๋ ์ด๋ฏธ์ง๋ฅผ ์์ฑํด๋ด
์๋ค.
.. code-block:: bash</p>
<blockquote>
<div>convert -size 250x540 xc:white png24:dummy.jpg</div></blockquote>
<p>๊ทธ๋ฆฌ๊ณ PyTorch ๋ชจ๋ธ์ ๋ณํํ๋๋ฐ ์ฌ์ฉํด๋ด
๋๋ค.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python ./neural_style/neural_style.py <span class="nb">eval</span> --content-image dummy.jpg --output-image dummy-out.jpg --model ./saved_models/candy.pth --cuda <span class="m">0</span> --export_onnx ./saved_models/candy.onnx
python ./neural_style/neural_style.py <span class="nb">eval</span> --content-image dummy.jpg --output-image dummy-out.jpg --model ./saved_models/udnie.pth --cuda <span class="m">0</span> --export_onnx ./saved_models/udnie.onnx
python ./neural_style/neural_style.py <span class="nb">eval</span> --content-image dummy.jpg --output-image dummy-out.jpg --model ./saved_models/rain_princess.pth --cuda <span class="m">0</span> --export_onnx ./saved_models/rain_princess.onnx
python ./neural_style/neural_style.py <span class="nb">eval</span> --content-image dummy.jpg --output-image dummy-out.jpg --model ./saved_models/mosaic.pth --cuda <span class="m">0</span> --export_onnx ./saved_models/mosaic.onnx
</pre></div>
</div>
<p>์์ ๊ณผ์ ์ ๊ฑฐ์น๋ฉด 4๊ฐ์ ํ์ผ <code class="docutils literal notranslate"><span class="pre">candy.onnx</span></code>, <code class="docutils literal notranslate"><span class="pre">mosaic.onnx</span></code>, <code class="docutils literal notranslate"><span class="pre">rain_princess.onnx</span></code> ๊ทธ๋ฆฌ๊ณ <code class="docutils literal notranslate"><span class="pre">udnie.onnx</span></code>,
๊ฐ <code class="docutils literal notranslate"><span class="pre">.pth</span></code> ํ์ผ๋ค์ ๊ฐ๊ฐ ๋์๋์ด ์์ฑ๋์ด์์ด์ผ ํฉ๋๋ค.</p>
</div>
<div class="section" id="onnx-coreml">
<h2>ONNX ๋ชจ๋ธ์ CoreML ๋ชจ๋ธ๋ก ๋ณํํ๊ธฐ<a class="headerlink" href="#onnx-coreml" title="Permalink to this headline">ยถ</a></h2>
<p>์ด์ ์ฐ๋ฆฌ๋ ONNX ๋ชจ๋ธ๋ค์ด ์๊ธฐ ๋๋ฌธ์ Apple ์ฅ์น์์ ์คํ์ํค๊ธฐ ์ํด ๋ชจ๋ธ๋ค์ CoreML ๋ชจ๋ธ๋ก ๋ณํ์ํฌ ์ ์์ต๋๋ค.
์ด๋ ๊ฒ ํ๊ธฐ ์ํด, ์ฐ๋ฆฌ๋ ์ ์ ์ค์นํ onnx-coreml ์ปจ๋ฒํฐ๋ฅผ ์ฌ์ฉํฉ๋๋ค.
์ด ์ปจ๋ฒํฐ๋ ์์ ์ค์น ๋จ๊ณ์์ ์ถ๊ฐ๋ <code class="docutils literal notranslate"><span class="pre">convert-onnx-to-coreml</span></code> ์คํฌ๋ฆฝํธ๋ฅผ ํฌํจํ๊ณ ์์ต๋๋ค.
์์ฝ๊ฒ๋ ์ด ์คํฌ๋ฆฝํธ๋ฅผ ์ฐ๋ฆฌ๊ฐ ์ํ๋ ๊ธฐ๋ฅ์ธ ์ ๊ฒฝ๋ง์ ์
๋ ฅ๊ฐ๊ณผ ์ถ๋ ฅ๊ฐ์ ์ด๋ฏธ์ง๋ก์ ํ์ํด์ฃผ์ง ๋ชปํ๊ณ
์ฐ๋ฆฌ๊ฐ ์ํ๋ ๊ธฐ๋ฅ์ ํ์ด์ฌ์์ ์ปจ๋ฒํฐ๋ฅผ ํธ์ถํด์ผ๋ง ์ง์๋ฉ๋๋ค.</p>
<p>style transfer ๋ชจ๋ธ์ ๋ณด๋ฉด (์๋ฅผ ๋ค๋ฉด .onnx ํ์ผ์ <a class="reference external" href="https://github.com/lutzroeder/Netron">Netron</a>๊ณผ ๊ฐ์ ์ดํ๋ฆฌ์ผ์ด์
์์ ์ฌ๋๊ฒ)
์ฐ๋ฆฌ๋ ์
๋ ฅ๊ฐ์ด โ0โ ์ผ๋ก ๋์ด์๊ณ ์ถ๋ ฅ๊ฐ์ด โ186โ ์ผ๋ก ๋์ด์๋๊ฑธ ํ์ธํ ์ ์์ต๋๋ค. ์ด๊ฒ๋ค์ PyTorch ์ ์ํด ํ ๋น๋ ์ซ์ id ๋ค ์
๋๋ค.
์ฐ๋ฆฌ๋ ์ด๋ฌํ ๊ฐ๋ค์ ์ด๋ฏธ์ง๋ก์จ ํ์ํด์ผํฉ๋๋ค.</p>
<p>์ ๊ทธ๋์ ์ด์ <code class="docutils literal notranslate"><span class="pre">onnx_to_coreml.py</span></code> ๋ผ๊ณ ํ๋ ์์ ํ์ด์ฌ ํ์ผ์ ์์ฑํฉ๋๋ค. ์ด๊ฒ์ touch ๋ช
๋ น์ด๋ ๊ฐ์ฅ ์ข์ํ๋ ํธ์ง๊ธฐ๋ก ๋ค์์ ๋ช์ค์ ์ฝ๋๋ง ์ถ๊ฐํ๋ฉด ๋ง๋ค์ ์์ต๋๋ค.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">sys</span>
<span class="kn">from</span> <span class="nn">onnx</span> <span class="kn">import</span> <span class="n">onnx_pb</span>
<span class="kn">from</span> <span class="nn">onnx_coreml</span> <span class="kn">import</span> <span class="n">convert</span>
<span class="n">model_in</span> <span class="o">=</span> <span class="n">sys</span><span class="o">.</span><span class="n">argv</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="n">model_out</span> <span class="o">=</span> <span class="n">sys</span><span class="o">.</span><span class="n">argv</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
<span class="n">model_file</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">model_in</span><span class="p">,</span> <span class="s1">'rb'</span><span class="p">)</span>
<span class="n">model_proto</span> <span class="o">=</span> <span class="n">onnx_pb</span><span class="o">.</span><span class="n">ModelProto</span><span class="p">()</span>
<span class="n">model_proto</span><span class="o">.</span><span class="n">ParseFromString</span><span class="p">(</span><span class="n">model_file</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
<span class="n">coreml_model</span> <span class="o">=</span> <span class="n">convert</span><span class="p">(</span><span class="n">model_proto</span><span class="p">,</span> <span class="n">image_input_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'0'</span><span class="p">],</span> <span class="n">image_output_names</span><span class="o">=</span><span class="p">[</span><span class="s1">'186'</span><span class="p">])</span>
<span class="n">coreml_model</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">model_out</span><span class="p">)</span>
</pre></div>
</div>
<p>์ด์ ์คํ์์ผ๋ด
์๋ค.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python onnx_to_coreml.py ./saved_models/candy.onnx ./saved_models/candy.mlmodel
python onnx_to_coreml.py ./saved_models/udnie.onnx ./saved_models/udnie.mlmodel
python onnx_to_coreml.py ./saved_models/rain_princess.onnx ./saved_models/rain_princess.mlmodel
python onnx_to_coreml.py ./saved_models/mosaic.onnx ./saved_models/mosaic.mlmodel
</pre></div>
</div>
<p>์ด์ <code class="docutils literal notranslate"><span class="pre">saved_models</span></code> ํด๋์ CoreML ๋ชจ๋ธ์ด 4๊ฐ , <code class="docutils literal notranslate"><span class="pre">candy.mlmodel</span></code>, <code class="docutils literal notranslate"><span class="pre">mosaic.mlmodel</span></code>, <code class="docutils literal notranslate"><span class="pre">rain_princess.mlmodel</span></code> and <code class="docutils literal notranslate"><span class="pre">udnie.mlmodel</span></code>, ๊ฐ ์์ต๋๋ค.</p>
</div>
<div class="section" id="style-transfer-ios-coreml">
<h2>style transfer iOS์ฑ์์ CoreML ๋ชจ๋ธ๋ค ์คํํ๊ธฐ<a class="headerlink" href="#style-transfer-ios-coreml" title="Permalink to this headline">ยถ</a></h2>
<p>์ด ์ ์ฅ์(README.md๋ฅผ ์ฝ๊ณ ๊ณ์๋ ํ์ฌ์ ์ ์ฅ์)๋ CoreML style transfer ๋ชจ๋ธ๋ค์ ํธ๋ํฐ ์นด๋ฉ๋ผ๋ก ์ค์๊ฐ ์นด๋ฉ๋ผ ์คํธ๋ฆผ์ ์ด์ฉํ์ฌ ์คํํ ์ ์๋ iOS ์ฑ์ ํฌํจํ๊ณ ์์ต๋๋ค. ์ด์ ์ ์ฅ์๋ฅผ ํด๋ก ํด๋ด
์๋ค.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git clone https://github.com/onnx/tutorials
</pre></div>
</div>
<p>๊ทธ๋ฆฌ๊ณ <code class="docutils literal notranslate"><span class="pre">tutorials/examples/CoreML/ONNXLive/ONNXLive.xcodeproj</span></code> ํ๋ก์ ํธ๋ฅผ XCode ์์ ์ด์ด๋ด
์๋ค.
์ฐ๋ฆฌ๋ XCode 9.3 ๋ฒ์ ๊ณผ iPhone X๋ฅผ ์ฌ์ฉํ๋๊ฒ์ ์ถ์ฒํฉ๋๋ค. ์ค๋๋ ๊ธฐ๊ธฐ๋ ์ค๋๋ ๋ฒ์ ์ XCode ๋ฅผ ์ฌ์ฉํด ์คํํ๋๋ฐ๋ ์ด์๊ฐ ์์ ์๋ ์์ต๋๋ค.</p>
<p><code class="docutils literal notranslate"><span class="pre">Models/</span></code> ํด๋์ ํ๋ก์ ํธ๋ .mlmodel ํ์ผ๋ค์ด ํฌํจ๋์ด ์์ต๋๋ค. ์ฐ๋ฆฌ๋ ์ ํ์ผ๋ค์ ์ฐ๋ฆฌ๊ฐ ๋ฐฉ๊ธ ์์ฑํด๋ธ ๋ชจ๋ธ๋ค๋ก ๊ต์ฒดํด์ผํฉ๋๋ค.</p>
<p>๊ทธ๋ฆฌ๊ณ iPhone์ ์ด์ฉํด์ ์ฑ์ ์คํ์ํค๋ฉด ๋ชจ๋ ์ค๋น๊ฐ ๋๋ฌ์ต๋๋ค. ์คํฌ๋ฆฐ์ ํญํ๋ฉด์ ๋ชจ๋ธ๋ค์ ๋ฐ๊ฟ๋ณด๋๋ก ํฉ์๋ค.</p>
</div>
<div class="section" id="id3">
<h2>๊ฒฐ๋ก <a class="headerlink" href="#id3" title="Permalink to this headline">ยถ</a></h2>
<p>์ฐ๋ฆฌ๋ ์ด ํํ ๋ฆฌ์ผ์ด ONNX ๊ฐ ๋ฌด์์ด๊ณ ์ด๋ป๊ฒ ์ ๊ฒฝ๋ง๋ค์ ํ๋ ์์ํฌ ์ฌ์ด์์ ๋ณํํ๋ฉด์ ์ฌ์ฉํ๋์ง ์ถฉ๋ถํ ์ค๋ช
์ด ๋์๊ธฐ๋ฅผ ๋ฐ๋๋๋ค.
์ด๋ฒ์๋ PyTorch์์ CoreML ๋ก style transfer ๋ชจ๋ธ๋ค์ ๋ณํํ์์ต๋๋ค.</p>
<p>์์ ์๊ฐํด๋๋ฆฐ ๋จ๊ณ๋ค์ ํ์ฉํ๋ฉฐ ์์ ๋กญ๊ฒ ์์ ๋ง์ ๋ชจ๋ธ์ ์คํํด ๋ณด์๊ธฐ๋ฅผ ๋ฐ๋๋๋ค.
ํผ๋๋ฐฑ์ด๋ ์ค๋ฅ๊ฐ ์๋ค๋ฉด ์ธ์ ๋ ์ง ์๋ ค์ฃผ์ธ์.</p>
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<li><a class="reference internal" href="#">ONNX Live ํํ ๋ฆฌ์ผ</a><ul>
<li><a class="reference internal" href="#onnx">ONNX๋ ๋ฌด์์ธ๊ฐ?</a></li>
<li><a class="reference internal" href="#id1">ํํ ๋ฆฌ์ผ ๊ฐ์</a></li>
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<li><a class="reference internal" href="#pytorch-style-transfer">PyTorch style transfer ๋ชจ๋ธ ๋ค์ด๋ก๋ (๋๋ ํ์ต์ํค๊ธฐ)</a></li>
<li><a class="reference internal" href="#pytorch-onnx">PyTorch ๋ชจ๋ธ์ ONNX ๋ชจ๋ธ๋ก ๋ณํํ๊ธฐ</a></li>
<li><a class="reference internal" href="#onnx-coreml">ONNX ๋ชจ๋ธ์ CoreML ๋ชจ๋ธ๋ก ๋ณํํ๊ธฐ</a></li>
<li><a class="reference internal" href="#style-transfer-ios-coreml">style transfer iOS์ฑ์์ CoreML ๋ชจ๋ธ๋ค ์คํํ๊ธฐ</a></li>
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