lightning@2.6.1

The Deep Learning framework to train, deploy, and ship AI products Lightning fast.

2026-01-30 Python >=3.10 wheel sdist
安装 (2.6.1)
pip install lightning==2.6.1
poetry add lightning==2.6.1
pipenv install lightning==2.6.1
conda install lightning=2.6.1
依赖 (222)
依赖
PyYAML<8.0,>5.4
fsspec[http]<2028.0,>=2022.5.0
lightning-utilities<2.0,>=0.10.0
packaging<27.0,>=23.0
torch<4.0,>=2.1.0
torchmetrics<3.0,>0.7.0
tqdm<6.0,>=4.57.0
typing-extensions<6.0,>4.5.0
pytorch-lightning
click==8.1.8; python_version < "3.11" and extra == "fabric-test"
click==8.3.1; python_version > "3.10" and extra == "fabric-test"
coverage==7.10.7; python_version < "3.10" and extra == "fabric-test"
coverage==7.13.4; python_version >= "3.10" and extra == "fabric-test"
huggingface-hub; extra == "fabric-test"
numpy<2.0,>1.21.0; python_version < "3.12" and extra == "fabric-test"
numpy<3.0,>2.1.0; python_version >= "3.12" and extra == "fabric-test"
pytest-cov==7.0.0; extra == "fabric-test"
pytest-random-order==1.2.0; extra == "fabric-test"
pytest-rerunfailures==16.0.1; python_version < "3.10" and extra == "fabric-test"
pytest-rerunfailures==16.1; python_version >= "3.10" and extra == "fabric-test"
pytest-timeout==2.4.0; extra == "fabric-test"
pytest==9.0.2; extra == "fabric-test"
tensorboardX<3.0,>=2.6; extra == "fabric-test"
torchmetrics<2.0,>=0.10.0; extra == "fabric-examples"
torchvision<1.0,>=0.16.0; extra == "fabric-examples"
hydra-core<2.0,>=1.2.0; extra == "fabric-extra"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "fabric-strategies"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "fabric-strategies"
cloudpickle<4.0,>=1.3; extra == "pytorch-test"
coverage==7.10.7; python_version < "3.10" and extra == "pytorch-test"
coverage==7.13.4; python_version >= "3.10" and extra == "pytorch-test"
fastapi; extra == "pytorch-test"
huggingface-hub; extra == "pytorch-test"
numpy<2.0,>1.21.0; python_version < "3.12" and extra == "pytorch-test"
numpy<3.0,>2.1.0; python_version >= "3.12" and extra == "pytorch-test"
onnx-ir<1.0; extra == "pytorch-test"
onnx<2.0,>1.12.0; extra == "pytorch-test"
onnxruntime<2.0,>=1.12.0; extra == "pytorch-test"
onnxscript<1.0,>=0.1.0; extra == "pytorch-test"
pandas<4.0,>2.0; extra == "pytorch-test"
psutil<8.0; extra == "pytorch-test"
pytest-cov==7.0.0; extra == "pytorch-test"
pytest-random-order==1.2.0; extra == "pytorch-test"
pytest-rerunfailures==16.0.1; python_version < "3.10" and extra == "pytorch-test"
pytest-rerunfailures==16.1; python_version >= "3.10" and extra == "pytorch-test"
pytest-timeout==2.4.0; extra == "pytorch-test"
pytest==9.0.2; extra == "pytorch-test"
scikit-learn<2.0,>0.22.1; extra == "pytorch-test"
tensorboard<3.0,>=2.11; extra == "pytorch-test"
uvicorn; extra == "pytorch-test"
ipython[all]<11.0,>=8.0.0; extra == "pytorch-examples"
requests<3.0; extra == "pytorch-examples"
torchmetrics<2.0,>=0.10.0; extra == "pytorch-examples"
torchvision<1.0,>=0.16.0; extra == "pytorch-examples"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "pytorch-extra"
hydra-core<2.0,>=1.2.0; extra == "pytorch-extra"
jsonargparse[jsonnet,signatures]<5.0,>=4.39.0; extra == "pytorch-extra"
matplotlib<4.0,>3.1; extra == "pytorch-extra"
omegaconf<3.0,>=2.2.3; extra == "pytorch-extra"
rich<15.0,>=12.3.0; extra == "pytorch-extra"
tensorboardX<3.0,>=2.2; extra == "pytorch-extra"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "pytorch-strategies"
torch-tensorrt; (platform_system != "Darwin" and python_version >= "3.12") and extra == "pytorch-test-gpu"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "fabric-all"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "fabric-all"
hydra-core<2.0,>=1.2.0; extra == "fabric-all"
torchmetrics<2.0,>=0.10.0; extra == "fabric-all"
torchvision<1.0,>=0.16.0; extra == "fabric-all"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "fabric-dev"
click==8.1.8; python_version < "3.11" and extra == "fabric-dev"
click==8.3.1; python_version > "3.10" and extra == "fabric-dev"
coverage==7.10.7; python_version < "3.10" and extra == "fabric-dev"
coverage==7.13.4; python_version >= "3.10" and extra == "fabric-dev"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "fabric-dev"
huggingface-hub; extra == "fabric-dev"
hydra-core<2.0,>=1.2.0; extra == "fabric-dev"
numpy<2.0,>1.21.0; python_version < "3.12" and extra == "fabric-dev"
numpy<3.0,>2.1.0; python_version >= "3.12" and extra == "fabric-dev"
pytest-cov==7.0.0; extra == "fabric-dev"
pytest-random-order==1.2.0; extra == "fabric-dev"
pytest-rerunfailures==16.0.1; python_version < "3.10" and extra == "fabric-dev"
pytest-rerunfailures==16.1; python_version >= "3.10" and extra == "fabric-dev"
pytest-timeout==2.4.0; extra == "fabric-dev"
pytest==9.0.2; extra == "fabric-dev"
tensorboardX<3.0,>=2.6; extra == "fabric-dev"
torchmetrics<2.0,>=0.10.0; extra == "fabric-dev"
torchvision<1.0,>=0.16.0; extra == "fabric-dev"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "pytorch-all"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "pytorch-all"
hydra-core<2.0,>=1.2.0; extra == "pytorch-all"
ipython[all]<11.0,>=8.0.0; extra == "pytorch-all"
jsonargparse[jsonnet,signatures]<5.0,>=4.39.0; extra == "pytorch-all"
matplotlib<4.0,>3.1; extra == "pytorch-all"
omegaconf<3.0,>=2.2.3; extra == "pytorch-all"
requests<3.0; extra == "pytorch-all"
rich<15.0,>=12.3.0; extra == "pytorch-all"
tensorboardX<3.0,>=2.2; extra == "pytorch-all"
torchmetrics<2.0,>=0.10.0; extra == "pytorch-all"
torchvision<1.0,>=0.16.0; extra == "pytorch-all"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "pytorch-dev"
cloudpickle<4.0,>=1.3; extra == "pytorch-dev"
coverage==7.10.7; python_version < "3.10" and extra == "pytorch-dev"
coverage==7.13.4; python_version >= "3.10" and extra == "pytorch-dev"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "pytorch-dev"
fastapi; extra == "pytorch-dev"
huggingface-hub; extra == "pytorch-dev"
hydra-core<2.0,>=1.2.0; extra == "pytorch-dev"
ipython[all]<11.0,>=8.0.0; extra == "pytorch-dev"
jsonargparse[jsonnet,signatures]<5.0,>=4.39.0; extra == "pytorch-dev"
matplotlib<4.0,>3.1; extra == "pytorch-dev"
numpy<2.0,>1.21.0; python_version < "3.12" and extra == "pytorch-dev"
numpy<3.0,>2.1.0; python_version >= "3.12" and extra == "pytorch-dev"
omegaconf<3.0,>=2.2.3; extra == "pytorch-dev"
onnx-ir<1.0; extra == "pytorch-dev"
onnx<2.0,>1.12.0; extra == "pytorch-dev"
onnxruntime<2.0,>=1.12.0; extra == "pytorch-dev"
onnxscript<1.0,>=0.1.0; extra == "pytorch-dev"
pandas<4.0,>2.0; extra == "pytorch-dev"
psutil<8.0; extra == "pytorch-dev"
pytest-cov==7.0.0; extra == "pytorch-dev"
pytest-random-order==1.2.0; extra == "pytorch-dev"
pytest-rerunfailures==16.0.1; python_version < "3.10" and extra == "pytorch-dev"
pytest-rerunfailures==16.1; python_version >= "3.10" and extra == "pytorch-dev"
pytest-timeout==2.4.0; extra == "pytorch-dev"
pytest==9.0.2; extra == "pytorch-dev"
requests<3.0; extra == "pytorch-dev"
rich<15.0,>=12.3.0; extra == "pytorch-dev"
scikit-learn<2.0,>0.22.1; extra == "pytorch-dev"
tensorboard<3.0,>=2.11; extra == "pytorch-dev"
tensorboardX<3.0,>=2.2; extra == "pytorch-dev"
torchmetrics<2.0,>=0.10.0; extra == "pytorch-dev"
torchvision<1.0,>=0.16.0; extra == "pytorch-dev"
uvicorn; extra == "pytorch-dev"
click==8.1.8; python_version < "3.11" and extra == "test"
click==8.3.1; python_version > "3.10" and extra == "test"
cloudpickle<4.0,>=1.3; extra == "test"
coverage==7.10.7; python_version < "3.10" and extra == "test"
coverage==7.13.4; python_version >= "3.10" and extra == "test"
fastapi; extra == "test"
huggingface-hub; extra == "test"
numpy<2.0,>1.21.0; python_version < "3.12" and extra == "test"
numpy<3.0,>2.1.0; python_version >= "3.12" and extra == "test"
onnx-ir<1.0; extra == "test"
onnx<2.0,>1.12.0; extra == "test"
onnxruntime<2.0,>=1.12.0; extra == "test"
onnxscript<1.0,>=0.1.0; extra == "test"
pandas<4.0,>2.0; extra == "test"
psutil<8.0; extra == "test"
pytest-cov==7.0.0; extra == "test"
pytest-random-order==1.2.0; extra == "test"
pytest-rerunfailures==16.0.1; python_version < "3.10" and extra == "test"
pytest-rerunfailures==16.1; python_version >= "3.10" and extra == "test"
pytest-timeout==2.4.0; extra == "test"
pytest==9.0.2; extra == "test"
scikit-learn<2.0,>0.22.1; extra == "test"
tensorboard<3.0,>=2.11; extra == "test"
tensorboardX<3.0,>=2.6; extra == "test"
uvicorn; extra == "test"
ipython[all]<11.0,>=8.0.0; extra == "examples"
requests<3.0; extra == "examples"
torchmetrics<2.0,>=0.10.0; extra == "examples"
torchvision<1.0,>=0.16.0; extra == "examples"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "extra"
hydra-core<2.0,>=1.2.0; extra == "extra"
jsonargparse[jsonnet,signatures]<5.0,>=4.39.0; extra == "extra"
matplotlib<4.0,>3.1; extra == "extra"
omegaconf<3.0,>=2.2.3; extra == "extra"
rich<15.0,>=12.3.0; extra == "extra"
tensorboardX<3.0,>=2.2; extra == "extra"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "strategies"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "strategies"
torch-tensorrt; (platform_system != "Darwin" and python_version >= "3.12") and extra == "test-gpu"
litdata<1.0,>=0.2.0rc; extra == "data"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "all"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "all"
hydra-core<2.0,>=1.2.0; extra == "all"
ipython[all]<11.0,>=8.0.0; extra == "all"
jsonargparse[jsonnet,signatures]<5.0,>=4.39.0; extra == "all"
matplotlib<4.0,>3.1; extra == "all"
omegaconf<3.0,>=2.2.3; extra == "all"
requests<3.0; extra == "all"
rich<15.0,>=12.3.0; extra == "all"
tensorboardX<3.0,>=2.2; extra == "all"
torchmetrics<2.0,>=0.10.0; extra == "all"
torchvision<1.0,>=0.16.0; extra == "all"
bitsandbytes<1.0,>=0.45.2; platform_system != "Darwin" and extra == "dev"
click==8.1.8; python_version < "3.11" and extra == "dev"
click==8.3.1; python_version > "3.10" and extra == "dev"
cloudpickle<4.0,>=1.3; extra == "dev"
coverage==7.10.7; python_version < "3.10" and extra == "dev"
coverage==7.13.4; python_version >= "3.10" and extra == "dev"
deepspeed<0.17.0,>=0.15.0; (platform_system != "Windows" and platform_system != "Darwin") and extra == "dev"
fastapi; extra == "dev"
huggingface-hub; extra == "dev"
hydra-core<2.0,>=1.2.0; extra == "dev"
ipython[all]<11.0,>=8.0.0; extra == "dev"
jsonargparse[jsonnet,signatures]<5.0,>=4.39.0; extra == "dev"
matplotlib<4.0,>3.1; extra == "dev"
numpy<2.0,>1.21.0; python_version < "3.12" and extra == "dev"
numpy<3.0,>2.1.0; python_version >= "3.12" and extra == "dev"
omegaconf<3.0,>=2.2.3; extra == "dev"
onnx-ir<1.0; extra == "dev"
onnx<2.0,>1.12.0; extra == "dev"
onnxruntime<2.0,>=1.12.0; extra == "dev"
onnxscript<1.0,>=0.1.0; extra == "dev"
pandas<4.0,>2.0; extra == "dev"
psutil<8.0; extra == "dev"
pytest-cov==7.0.0; extra == "dev"
pytest-random-order==1.2.0; extra == "dev"
pytest-rerunfailures==16.0.1; python_version < "3.10" and extra == "dev"
pytest-rerunfailures==16.1; python_version >= "3.10" and extra == "dev"
pytest-timeout==2.4.0; extra == "dev"
pytest==9.0.2; extra == "dev"
requests<3.0; extra == "dev"
rich<15.0,>=12.3.0; extra == "dev"
scikit-learn<2.0,>0.22.1; extra == "dev"
tensorboard<3.0,>=2.11; extra == "dev"
tensorboardX<3.0,>=2.2; extra == "dev"
tensorboardX<3.0,>=2.6; extra == "dev"
torchmetrics<2.0,>=0.10.0; extra == "dev"
torchvision<1.0,>=0.16.0; extra == "dev"
uvicorn; extra == "dev"
下载文件
文件名类型Python 版本大小
lightning-2.6.1-py3-none-any.whl bdist_wheel py3 853631 bytes
lightning-2.6.1.tar.gz sdist source 663175 bytes
版本列表
2.6.5 2026-05-27
2.6.4 2026-05-20
2.6.1 2026-01-30
2.6.1.dev20260201 2026-02-01
2.6.0 2025-11-28
2.6.0.dev20260125 2026-01-25
2.6.0.dev20260118 2026-01-18
2.6.0.dev20260111 2026-01-11
2.6.0.dev20260104 2026-01-04
2.6.0.dev20251228 2025-12-28
2.6.0.dev20251221 2025-12-21
2.6.0.dev20251214 2025-12-14
2.6.0.dev20251207 2025-12-07
2.6.0.dev20251130 2025-11-30
2.6.0.dev20251123 2025-11-23
2.6.0.dev20251116 2025-11-16
2.6.0.dev20251109 2025-11-09
2.6.0.dev20251102 2025-11-02
2.6.0.dev20251026 2025-10-26
2.6.0.dev20251019 2025-10-19
2.6.0.dev20251012 2025-10-12
2.6.0.dev20251005 2025-10-05
2.6.0.dev20250928 2025-09-28
2.6.0.dev20250921 2025-09-21
2.6.0.dev20250914 2025-09-14
2.6.0.dev20250831 2025-08-31
2.6.0.dev20250824 2025-08-24
2.6.0.dev20250817 2025-08-17
2.6.0.dev20250810 2025-08-10
2.6.0.dev20250803 2025-08-03
2.6.0.dev20250727 2025-07-27
2.6.0.dev20250720 2025-07-20
2.6.0.dev20250713 2025-07-13
2.6.0.dev20250706 2025-07-06
2.6.0.dev20250629 2025-06-29
2.6.0.dev0 2025-11-05
2.5.6 2025-11-05
2.5.5 2025-09-05
2.5.4 2025-08-29
2.5.3 2025-08-13
2.5.2 2025-06-20
2.5.1 2025-03-19
2.5.1.post0 2025-04-25
2.5.1.dev20250622 2025-06-22
2.5.1.dev20250615 2025-06-15
2.5.1.dev20250608 2025-06-08
2.5.1.dev20250601 2025-06-01
2.5.1.dev20250525 2025-05-25
2.5.1.dev20250518 2025-05-18
2.5.1.dev20250511 2025-05-11
2.5.1.dev20250504 2025-05-04
2.5.1.dev20250427 2025-04-27
2.5.1.dev20250420 2025-04-20
2.5.1.dev20250413 2025-04-13
2.5.1.dev20250406 2025-04-06
2.5.1.dev20250330 2025-03-30
2.5.1.dev20250323 2025-03-23
2.5.0 2024-12-20
2.5.0.post0 2024-12-21
2.5.0.dev20250316 2025-03-16
2.5.0.dev20250309 2025-03-09
2.5.0.dev20250302 2025-03-02
2.5.0.dev20250223 2025-02-23
2.5.0.dev20250216 2025-02-16
2.5.0.dev20250209 2025-02-09
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2.5.0.dev20250126 2025-01-26
2.5.0.dev20250119 2025-01-19
2.5.0.dev20250112 2025-01-12
2.5.0.dev20250105 2025-01-05
2.5.0.dev20241229 2024-12-29
2.5.0.dev20241222 2024-12-22
2.5.0.dev20241215 2024-12-15
2.5.0.dev20241208 2024-12-08
2.5.0.dev20241201 2024-12-01
2.5.0.dev20241124 2024-11-24
2.5.0.dev20241117 2024-11-17
2.5.0.dev20241110 2024-11-10
2.5.0.dev20241103 2024-11-03
2.5.0.dev20241027 2024-10-27
2.5.1rc2 2025-03-17
2.5.1rc1 2025-03-08
2.5.1rc0 2025-03-05
2.5.0rc0 2024-12-12
2.4.0 2024-08-07
2.4.0.dev20241020 2024-10-20
2.4.0.dev20241013 2024-10-13
2.4.0.dev20241006 2024-10-06
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2.4.0.dev20240922 2024-09-22
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2.4.0.dev20240908 2024-09-08
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2.4.0.dev20240818 2024-08-18
2.4.0.dev20240811 2024-08-11
2.4.0.dev20240804 2024-08-04
2.4.0.dev20240728 2024-07-28
2.4.0.dev20240721 2024-07-21
2.4.0.dev20240714 2024-07-14
2.4.0.dev20240707 2024-07-07
2.4.0.dev20240630 2024-06-30
2.3.3 2024-07-08
2.3.2 2024-07-04
2.3.1 2024-06-27
2.3.0 2024-06-13
2.3.0.dev20240623 2024-06-23
2.3.0.dev20240616 2024-06-16
2.3.0.dev20240609 2024-06-09
2.3.0.dev20240602 2024-06-02
2.3.0.dev20240526 2024-05-26
2.3.0.dev20240519 2024-05-19
2.3.0.dev20240505 2024-05-05
2.3.0.dev20240428 2024-04-28
2.3.0.dev20240421 2024-04-21
2.3.0.dev20240414 2024-04-14
2.3.0.dev20240407 2024-04-07
2.3.0.dev20240331 2024-03-31
2.3.0.dev20240328 2024-03-28
2.3.0.dev20240324 2024-03-24
2.3.0.dev20240318 2024-03-18
2.2.5 2024-05-22
2.2.4 2024-05-01
2.2.3 2024-04-23
2.2.2 2024-04-12
2.2.1 2024-03-04
2.2.0 2024-02-08
2.2.0.post0 2024-02-12
2.2.0rc0 2024-02-01
2.1.4 2024-02-01
2.1.3 2023-12-21
2.1.2 2023-11-15
2.1.1 2023-11-08
2.1.0 2023-10-12
2.1.0rc1 2023-10-10
2.1.0rc0 2023-08-16
2.0.9 2023-09-14
2.0.9.post0 2023-09-28
2.0.8 2023-08-30
2.0.7 2023-08-16
2.0.6 2023-07-25
2.0.5 2023-07-10
2.0.4 2023-06-22
2.0.3 2023-06-07
2.0.2 2023-04-24
2.0.1 2023-03-30
2.0.1.post0 2023-04-11
2.0.0 2023-03-15
2.0.0rc0 2023-02-23
1.9.5 2023-04-12
1.9.4 2023-03-02
1.9.3 2023-02-21
1.9.2 2023-02-15
1.9.1 2023-02-10
1.9.0 2023-01-18
1.9.0rc0 2023-01-06
1.8.6 2022-12-21
1.8.5 2022-12-15
1.8.5.post0 2022-12-16
1.8.4 2022-12-09
1.8.4.post0 2022-12-10
1.8.3 2022-11-23
1.8.3.post2 2022-12-09
1.8.3.post1 2022-11-25
1.8.3.post0 2022-11-23
1.8.2 2022-11-18
1.8.1 2022-11-10
1.8.0 2022-11-01
1.8.0.post1 2022-11-02
1.8.0rc2 2022-11-01
1.8.0rc1 2022-10-27