pytorch-lightning
코드 변경 없이 1개에서 10,000개 이상의 GPU에서 모든 크기의 AI 모델을 Pretrain 및 Finetune 하세요.
파일 탐색기
최종 버전 다운로드 (.zip)- assistant.py
- pull_legacy_checkpoints.sh
- requirements.txt
- action.yml
- action.yml
- 1_bug_report.yaml
- 2_refactor.yaml
- 3_feature_request.yaml
- 4_documentation.yaml
- config.yml
- _build-packages.yml
- _legacy-checkpoints.yml
- call-clear-cache.yml
- ci-checkpoints.yml
- ci-pkg-install.yml
- ci-schema.yml
- ci-tests-fabric.yml
- ci-tests-pytorch.yml
- cleanup-caches.yml
- code-checks.yml
- docs-build.yml
- docs-tutorials.yml
- labeler-issue.yml
- probot-auto-cc.yml
- probot-check-group.yml
- README.md
- release-nightly.yml
- release-pkg.yml
- tpu-tests.yml.disabled
- advanced-issue-labeler.yml
- BECOMING_A_CORE_CONTRIBUTOR.md
- checkgroup.yml
- CODE_OF_CONDUCT.md
- CODEOWNERS
- CONTRIBUTING.md
- dependabot.yml
- label-change.yml
- lightning-probot.yml
- PULL_REQUEST_TEMPLATE.md
- benchmark.yml
- fabric.yml
- pytorch.yml
- icon.svg
- logo-large.svg
- logo-small.svg
- logo.png
- logo.svg
- copybutton.js
- main.css
- module.rst
- classtemplate.rst
- classtemplate_no_index.rst
- layout.html
- theme_variables.jinja
- fsdp.rst
- index.rst
- tp.rst
- tp_fsdp.rst
- compile.rst
- distributed_communication.rst
- gradient_accumulation.rst
- model_init.rst
- multiple_setup.rst
- accelerators.rst
- collectives.rst
- environments.rst
- fabric.rst
- fabric_args.rst
- fabric_methods.rst
- io.rst
- loggers.rst
- precision.rst
- strategies.rst
- utilities.rst
- wrappers.rst
- index.rst
- accelerators.rst
- code_structure.rst
- convert.rst
- installation.rst
- launch.rst
- notebooks.rst
- precision.rst
- index.rst
- checkpoint.rst
- distributed_checkpoint.rst
- index.rst
- litlogger.rst
- wandb.rst
- barebones.rst
- cloud.rst
- other.rst
- slurm.rst
- callbacks.rst
- index.rst
- lightning_module.rst
- logging.rst
- trainer_template.rst
- advanced.rst
- basic.rst
- intermediate.rst
- conf.py
- index.rst
- links.rst
- make.bat
- Makefile
- profiler.png
- figure-parity-times.png
- fast_2.gif
- pl_overview.gif
- pl_overview_flat.jpg
- pl_quick_start_full_compressed.gif
- PTL101_youtube_thumbnail.jpg
- tf_loss.jpg
- tf_tags.jpg
- tutorial_cover.jpg
- lite.gif
- pt_to_pl.png
- pt_trainer.png
- mnist_cpu_bar.png
- mnist_gpu.png
- mnist_tb.png
- pt_to_pl.jpg
- restart_runtime.png
- runtime_tpu.png
- tpu_fast.png
- tpu_start.png
- lr_finder.png
- icon.svg
- logo.png
- logo.svg
- logo_light.svg
- copybutton.js
- main.css
- paramlinks.css
- module.rst
- classtemplate.rst
- layout.html
- theme_variables.jinja
- accelerator_prepare.rst
- gpu.rst
- gpu_advanced.rst
- gpu_basic.rst
- gpu_expert.rst
- gpu_faq.rst
- gpu_intermediate.rst
- mps.rst
- mps_basic.rst
- tpu.rst
- tpu_advanced.rst
- tpu_basic.rst
- tpu_faq.rst
- tpu_intermediate.rst
- deepspeed.rst
- fsdp.rst
- index.rst
- tp.rst
- tp_fsdp.rst
- compile.rst
- ddp_optimizations.rst
- finetuning.rst
- model_init.rst
- model_parallel.rst
- post_training_quantization.rst
- pretrained.rst
- pruning_quantization.rst
- speed.rst
- strategy_registry.rst
- training_tricks.rst
- transfer_learning.rst
- warnings.rst
- benchmarks.rst
- lightning_cli.rst
- lightning_cli_advanced.rst
- lightning_cli_advanced_2.rst
- lightning_cli_advanced_3.rst
- lightning_cli_expert.rst
- lightning_cli_faq.rst
- lightning_cli_intermediate.rst
- lightning_cli_intermediate_2.rst
- cluster.rst
- cluster_advanced.rst
- cluster_expert.rst
- cluster_intermediate_1.rst
- cluster_intermediate_2.rst
- lightning_ai.rst
- checkpointing.rst
- checkpointing_advanced.rst
- checkpointing_basic.rst
- checkpointing_expert.rst
- checkpointing_intermediate.rst
- checkpointing_migration.rst
- child_modules.rst
- console_logs.rst
- early_stopping.rst
- evaluation.rst
- evaluation_basic.rst
- evaluation_intermediate.rst
- gradient_accumulation.rst
- hooks.rst
- hyperparameters.rst
- index.rst
- lightning_module.rst
- notebooks.rst
- optimization.rst
- precision.rst
- precision_basic.rst
- precision_expert.rst
- precision_intermediate.rst
- progress_bar.rst
- remote_fs.rst
- tbptt.rst
- trainer.rst
- governance.rst
- index.rst
- access.rst
- alternatives.rst
- data.rst
- datamodule.rst
- iterables.rst
- debugging.rst
- debugging_advanced.rst
- debugging_basic.rst
- debugging_intermediate.rst
- production.rst
- production_advanced.rst
- production_advanced_2.rst
- production_basic.rst
- production_intermediate.rst
- accelerator.rst
- callbacks.rst
- callbacks_state.rst
- datamodules_state.rst
- entry_points.rst
- logging.rst
- plugins.rst
- strategy.rst
- index.rst
- index.rst
- advanced.rst
- advanced_level_15.rst
- advanced_level_16.rst
- advanced_level_17.rst
- advanced_level_18.rst
- advanced_level_20.rst
- advanced_level_21.rst
- basic_level_2.rst
- basic_level_5.rst
- core_level_3.rst
- core_level_6.rst
- core_skills.rst
- expert.rst
- expert_level_22.rst
- expert_level_23.rst
- expert_level_24.rst
- intermediate.rst
- intermediate_level_10.rst
- intermediate_level_11.rst
- intermediate_level_12.rst
- intermediate_level_13.rst
- intermediate_level_14.rst
- intermediate_level_7.rst
- intermediate_level_9.rst
- build_model.rst
- build_model_advanced.rst
- build_model_intermediate.rst
- manual_optimization.rst
- own_your_loop.rst
- train_model_basic.rst
- converting.rst
- installation.rst
- introduction.rst
- style_guide.rst
- profiler.rst
- profiler_advanced.rst
- profiler_basic.rst
- profiler_expert.rst
- profiler_intermediate.rst
- 1_4_advanced.rst
- 1_4_devel.rst
- 1_4_regular.rst
- 1_5_advanced.rst
- 1_5_devel.rst
- 1_5_regular.rst
- 1_6_advanced.rst
- 1_6_devel.rst
- 1_6_regular.rst
- 1_7_advanced.rst
- 1_7_devel.rst
- 1_7_regular.rst
- 1_8_advanced.rst
- 1_8_devel.rst
- 1_8_regular.rst
- 1_9_advanced.rst
- 1_9_devel.rst
- 1_9_regular.rst
- 2_0_advanced.rst
- 2_0_devel.rst
- 2_0_regular.rst
- from_1_4.rst
- from_1_5.rst
- from_1_6.rst
- from_1_7.rst
- from_1_8.rst
- from_1_9.rst
- from_2_0.rst
- migration_guide.rst
- experiment_managers.rst
- loggers.rst
- logging_advanced.rst
- logging_basic.rst
- logging_expert.rst
- logging_intermediate.rst
- supported_exp_managers.rst
- api_references.rst
- common_usecases.rst
- conf.py
- expertise_levels.rst
- index.rst
- links.rst
- make.bat
- Makefile
- notebooks.rst
- past_versions.rst
- tutorials.rst
- versioning.rst
- crossroad.html
- generate_docs_for_tags.sh
- README.md
- redirect.html
- rtfd-build.sh
- README.md
- run.py
- trainer.py
- README.md
- train_fabric.py
- train_torch.py
- README.md
- requirements.txt
- train.py
- README.md
- train_fabric.py
- train_torch.py
- README.md
- train_fabric.py
- README.md
- train.py
- README.md
- train_fabric.py
- train_torch.py
- __init__.py
- agent.py
- loss.py
- utils.py
- README.md
- requirements.txt
- train_fabric.py
- train_fabric_decoupled.py
- train_torch.py
- data.py
- model.py
- parallelism.py
- README.md
- train.py
- autoencoder.py
- backbone_image_classifier.py
- profiler_example.py
- README.md
- transformer.py
- bug_report_model.ipynb
- bug_report_model.py
- computer_vision_fine_tuning.py
- generative_adversarial_net.py
- imagenet.py
- reinforce_learn_ppo.py
- reinforce_learn_Qnet.py
- semantic_segmentation.py
- README.md
- requirements.txt
- train.py
- production.py
- data.py
- model.py
- parallelism.py
- README.md
- train.py
- README.md
- run_fabric_examples.sh
- run_pl_examples.sh
- data.txt
- base.txt
- docs.txt
- examples.txt
- extra.txt
- strategies.txt
- test.txt
- base.txt
- check-avail-extras.py
- docs.txt
- examples.txt
- extra.txt
- loggers.info
- strategies.txt
- test.txt
- test_gpu.txt
- ci.txt
- collect_env_details.py
- docs.txt
- doctests.txt
- README.md
- typing.txt
- __init__.py
- README.md
- __init__.py
- tpu.py
- __init__.py
- accelerator.py
- cpu.py
- cuda.py
- mps.py
- registry.py
- xla.py
- __init__.py
- csv_logs.py
- logger.py
- tensorboard.py
- __init__.py
- collective.py
- single_device.py
- torch_collective.py
- __init__.py
- cluster_environment.py
- kubeflow.py
- lightning.py
- lsf.py
- mpi.py
- slurm.py
- torchelastic.py
- xla.py
- __init__.py
- checkpoint_io.py
- torch_io.py
- xla.py
- __init__.py
- amp.py
- bitsandbytes.py
- deepspeed.py
- double.py
- fsdp.py
- half.py
- precision.py
- transformer_engine.py
- utils.py
- xla.py
- __init__.py
- __init__.py
- launcher.py
- multiprocessing.py
- subprocess_script.py
- xla.py
- __init__.py
- ddp.py
- deepspeed.py
- dp.py
- fsdp.py
- model_parallel.py
- parallel.py
- registry.py
- single_device.py
- single_xla.py
- strategy.py
- xla.py
- xla_fsdp.py
- __init__.py
- _runif.py
- __init__.py
- apply_func.py
- cloud_io.py
- consolidate_checkpoint.py
- data.py
- device_dtype_mixin.py
- device_parser.py
- distributed.py
- enums.py
- exceptions.py
- imports.py
- init.py
- load.py
- logger.py
- optimizer.py
- rank_zero.py
- registry.py
- seed.py
- spike.py
- throughput.py
- types.py
- warnings.py
- __init__.py
- CHANGELOG.md
- cli.py
- connector.py
- fabric.py
- wrappers.py
- __init__.py
- _torchmetrics.py
- hpu.py
- precision.py
- tpu.py
- __init__.py
- accelerator.py
- cpu.py
- cuda.py
- mps.py
- xla.py
- __init__.py
- progress_bar.py
- rich_progress.py
- tqdm_progress.py
- __init__.py
- batch_size_finder.py
- callback.py
- checkpoint.py
- device_stats_monitor.py
- early_stopping.py
- finetuning.py
- gradient_accumulation_scheduler.py
- lambda_function.py
- lr_finder.py
- lr_monitor.py
- model_checkpoint.py
- model_summary.py
- on_exception_checkpoint.py
- prediction_writer.py
- pruning.py
- rich_model_summary.py
- spike.py
- stochastic_weight_avg.py
- throughput_monitor.py
- timer.py
- weight_averaging.py
- __init__.py
- hparams_mixin.py
- __init__.py
- datamodule.py
- hooks.py
- module.py
- optimizer.py
- saving.py
- __init__.py
- boring_classes.py
- lstm.py
- mnist_datamodule.py
- transformer.py
- __init__.py
- comet.py
- csv_logs.py
- litlogger.py
- logger.py
- mlflow.py
- neptune.py
- tensorboard.py
- utilities.py
- wandb.py
- __init__.py
- automatic.py
- closure.py
- manual.py
- __init__.py
- evaluation_loop.py
- fetchers.py
- fit_loop.py
- loop.py
- prediction_loop.py
- progress.py
- training_epoch_loop.py
- utilities.py
- __init__.py
- distributed.py
- __init__.py
- __init__.py
- async_plugin.py
- checkpoint_plugin.py
- torch_plugin.py
- wrapper.py
- xla_plugin.py
- __init__.py
- amp.py
- bitsandbytes.py
- deepspeed.py
- double.py
- fsdp.py
- half.py
- precision.py
- transformer_engine.py
- xla.py
- __init__.py
- layer_sync.py
- __init__.py
- advanced.py
- base.py
- profiler.py
- pytorch.py
- simple.py
- xla.py
- __init__.py
- servable_module.py
- servable_module_validator.py
- __init__.py
- launcher.py
- multiprocessing.py
- subprocess_script.py
- xla.py
- __init__.py
- ddp.py
- deepspeed.py
- fsdp.py
- model_parallel.py
- parallel.py
- single_device.py
- single_xla.py
- strategy.py
- xla.py
- __init__.py
- fx_validator.py
- logger_connector.py
- result.py
- __init__.py
- accelerator_connector.py
- callback_connector.py
- checkpoint_connector.py
- data_connector.py
- signal_connector.py
- __init__.py
- call.py
- configuration_validator.py
- setup.py
- states.py
- trainer.py
- __init__.py
- batch_size_scaling.py
- lr_finder.py
- tuning.py
- __init__.py
- migration.py
- utils.py
- __init__.py
- model_summary.py
- model_summary_deepspeed.py
- __init__.py
- _runif.py
- __init__.py
- _pytree.py
- argparse.py
- combined_loader.py
- compile.py
- consolidate_checkpoint.py
- data.py
- deepspeed.py
- enums.py
- exceptions.py
- grads.py
- imports.py
- memory.py
- model_helpers.py
- model_registry.py
- parameter_tying.py
- parsing.py
- rank_zero.py
- seed.py
- signature_utils.py
- types.py
- upgrade_checkpoint.py
- warnings.py
- __init__.py
- CHANGELOG.md
- cli.py
- __about__.py
- __init__.py
- __setup__.py
- __version__.py
- MANIFEST.in
- py.typed
- __about__.py
- __setup__.py
- __version__.py
- MANIFEST.in
- py.typed
- README.md
- shell-folder_code-lives-lightning.info
- __about__.py
- __setup__.py
- __version__.py
- MANIFEST.in
- py.typed
- README.md
- shell-folder_code-lives-lightning.info
- version.info
- .gitkeep
- back-compatible-versions.txt
- generate_checkpoints.sh
- README.md
- simple_classif_training.py
- __init__.py
- conftest.py
- models.py
- run_standalone_tasks.sh
- test_parity_ddp.py
- test_parity_simple.py
- utils.py
- __init__.py
- generate_comparison.py
- measure.py
- models.py
- test_basic_parity.py
- test_sync_batchnorm_parity.py
- __init__.py
- test_cpu.py
- test_cuda.py
- test_mps.py
- test_registry.py
- test_xla.py
- test_tpu.py
- __init__.py
- dataloaders.py
- datasets.py
- runif.py
- __init__.py
- test_csv.py
- test_tensorboard.py
- __init__.py
- test_single_device.py
- test_torch_collective.py
- __init__.py
- test_kubeflow.py
- test_lightning.py
- test_lsf.py
- test_mpi.py
- test_slurm.py
- test_torchelastic.py
- test_xla.py
- __init__.py
- test_all.py
- test_amp.py
- test_amp_integration.py
- test_bitsandbytes.py
- test_deepspeed.py
- test_deepspeed_integration.py
- test_double.py
- test_double_integration.py
- test_fsdp.py
- test_half.py
- test_transformer_engine.py
- test_utils.py
- test_xla.py
- test_xla_integration.py
- __init__.py
- __init__.py
- test_multiprocessing.py
- test_multiprocessing_integration.py
- test_subprocess_script.py
- __init__.py
- test_ddp.py
- test_ddp_integration.py
- test_deepspeed.py
- test_deepspeed_integration.py
- test_dp.py
- test_fsdp.py
- test_fsdp_integration.py
- test_model_parallel.py
- test_model_parallel_integration.py
- test_registry.py
- test_single_device.py
- test_strategy.py
- test_xla.py
- test_xla_fsdp.py
- test_xla_fsdp_integration.py
- __init__.py
- test_apply_func.py
- test_cloud_io.py
- test_consolidate_checkpoint.py
- test_data.py
- test_device_dtype_mixin.py
- test_device_parser.py
- test_distributed.py
- test_imports.py
- test_init.py
- test_load.py
- test_logger.py
- test_optimizer.py
- test_rank_zero.py
- test_registry.py
- test_runif.py
- test_seed.py
- test_spike.py
- test_throughput.py
- test_warnings.py
- __init__.py
- conftest.py
- run_tpu_tests.sh
- test_cli.py
- test_connector.py
- test_fabric.py
- test_wrappers.py
- __init__.py
- test_common.py
- test_cpu.py
- test_gpu.py
- test_mps.py
- test_registry.py
- test_xla.py
- test_rich_progress_bar.py
- test_tqdm_progress_bar.py
- __init__.py
- test_callback_hook_outputs.py
- test_callbacks.py
- test_device_stats_monitor.py
- test_early_stopping.py
- test_finetuning_callback.py
- test_gradient_accumulation_scheduler.py
- test_lambda_function.py
- test_lr_monitor.py
- test_model_checkpoint_additional_cases.py
- test_model_checkpoint_edge_cases.py
- test_model_checkpoint_manual_opt.py
- test_model_checkpoint_step_interval_val_metric.py
- test_model_summary.py
- test_prediction_writer.py
- test_pruning.py
- test_rich_model_summary.py
- test_spike.py
- test_stochastic_weight_avg.py
- test_throughput_monitor.py
- test_timer.py
- test_weight_averaging.py
- __init__.py
- test_checkpoint_callback_frequency.py
- test_legacy_checkpoints.py
- test_model_checkpoint.py
- test_torch_saving.py
- test_trainer_checkpoint.py
- __init__.py
- test_datamodules.py
- test_lightning_module.py
- test_lightning_optimizer.py
- test_metric_result_integration.py
- test_results.py
- test_saving.py
- __init__.py
- lstm.py
- transformer.py
- __init__.py
- test_no_removal_version.py
- __init__.py
- test_hpu.py
- test_precision.py
- test_tpu.py
- __init__.py
- advanced_models.py
- dataloaders.py
- datamodules.py
- datasets.py
- deterministic_model.py
- pipelines.py
- runif.py
- simple_models.py
- test_datasets.py
- test_models.py
- threading.py
- utils.py
- __init__.py
- conftest.py
- test_all.py
- test_comet.py
- test_csv.py
- test_litlogger.py
- test_logger.py
- test_mlflow.py
- test_tensorboard.py
- test_utilities.py
- test_wandb.py
- __init__.py
- test_automatic_loop.py
- test_closure.py
- test_manual_loop.py
- __init__.py
- test_all.py
- test_double_iter_in_iterable_dataset.py
- test_evaluation_loop.py
- test_evaluation_loop_flow.py
- test_fetchers.py
- test_flow_warnings.py
- test_loop_state_dict.py
- test_loops.py
- test_prediction_loop.py
- test_progress.py
- test_training_epoch_loop.py
- test_training_loop.py
- test_training_loop_flow_dict.py
- test_training_loop_flow_scalar.py
- default.yaml
- config.yaml
- __init__.py
- test_amp.py
- test_cpu.py
- test_ddp_fork_amp.py
- test_fabric_integration.py
- test_gpu.py
- test_hooks.py
- test_hparams.py
- test_onnx.py
- test_restore.py
- test_torch_tensorrt.py
- test_torchscript.py
- test_tpu.py
- __init__.py
- test_distributed.py
- __init__.py
- test_all.py
- test_amp.py
- test_amp_integration.py
- test_bitsandbytes.py
- test_deepspeed_precision.py
- test_double.py
- test_fsdp.py
- test_half.py
- test_transformer_engine.py
- test_xla.py
- __init__.py
- test_amp_plugins.py
- test_async_checkpoint.py
- test_checkpoint_io_plugin.py
- test_cluster_integration.py
- __init__.py
- test_profiler.py
- test_xla_profiler.py
- __init__.py
- test_servable_module_validator.py
- __init__.py
- test_multiprocessing.py
- test_subprocess_script.py
- __init__.py
- cli_script.py
- __init__.py
- test_common.py
- test_custom_strategy.py
- test_ddp.py
- test_ddp_integration.py
- test_ddp_integration_comm_hook.py
- test_deepspeed.py
- test_fsdp.py
- test_model_parallel.py
- test_model_parallel_integration.py
- test_registry.py
- test_single_device.py
- test_xla.py
- __init__.py
- test_accelerator_connector.py
- test_callback_connector.py
- test_checkpoint_connector.py
- test_data_connector.py
- test_logger_connector.py
- test_rich_integration.py
- test_signal_connector.py
- __init__.py
- test_multiple_eval_dataloaders.py
- __init__.py
- test_barebones.py
- test_check_val_every_n_epoch.py
- test_env_vars.py
- test_fast_dev_run.py
- test_inference_mode.py
- test_limit_batches.py
- test_min_max_epochs.py
- test_overfit_batches.py
- test_val_check_interval.py
- __init__.py
- test_distributed_logging.py
- test_eval_loop_logging.py
- test_logger_connector.py
- test_loop_logging.py
- test_train_loop_logging.py
- __init__.py
- test_backward_calls.py
- test_manual_optimization.py
- test_multiple_optimizers.py
- test_optimizers.py
- __init__.py
- test_estimated_stepping_batches.py
- test_get_model.py
- test_log_dir.py
- test_loggers.py
- __init__.py
- test_config_validator.py
- test_dataloaders.py
- test_ddp_sigterm_handling.py
- test_states.py
- test_trainer.py
- __init__.py
- test_lr_finder.py
- test_scale_batch_size.py
- test_tuning.py
- __init__.py
- test_migration.py
- test_utils.py
- __init__.py
- test_runif.py
- __init__.py
- test_all_gather_grad.py
- test_auto_restart.py
- test_combined_loader.py
- test_compile.py
- test_consolidate_checkpoint.py
- test_data.py
- test_deepspeed_collate_checkpoint.py
- test_deepspeed_model_summary.py
- test_dtype_device_mixin.py
- test_enums.py
- test_exceptions.py
- test_grads.py
- test_imports.py
- test_memory.py
- test_model_helpers.py
- test_model_summary.py
- test_parameter_tying.py
- test_parsing.py
- test_pytree.py
- test_seed.py
- test_signature_utils.py
- test_types.py
- test_upgrade_checkpoint.py
- test_warnings.py
- __init__.py
- conftest.py
- run_standalone_tasks.sh
- run_tpu_tests.sh
- test_cli.py
- README.md
- .codecov.yml
- .git-blame-ignore-revs
- .gitignore
- .gitmodules
- .pre-commit-config.yaml
- .readthedocs.yml
- _notebooks
- CITATION.cff
- LICENSE
- Makefile
- pyproject.toml
- README.md
- requirements.txt
- SECURITY.md
- setup.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/Lightning-AI/pytorch-lightning
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd pytorch-lightning
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. 공식 설치 스크립트
쉬움 추천사전 준비물
- Python 3 pip 명령어를 쓰려면 Python이 필요합니다.
pip install lightning
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install lightning['extra']
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install https://github.com/Lightning-AI/lightning/archive/refs/heads/release/stable.zip -U
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install https://github.com/Lightning-AI/lightning/archive/refs/heads/master.zip -U
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
3. Python
쉬움사전 준비물
pip install lightning
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install lightning['extra']
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install https://github.com/Lightning-AI/lightning/archive/refs/heads/release/stable.zip -U
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install https://github.com/Lightning-AI/lightning/archive/refs/heads/master.zip -U
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
pip install -iU https://test.pypi.org/simple/ pytorch-lightning
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.
4. Make
보통사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Make Linux/macOS는 보통 기본 설치되어 있습니다. Windows는 별도 설치(예: MSYS2, WSL)가 필요합니다.
make
생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.
에러 없이 끝나면 성공입니다. 생성된 실행 파일을 직접 실행해보세요.
// repository documentation
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