index int64 0 50.7k | project_path stringclasses 279
values | completion_path stringlengths 57 199 | signature_postion stringlengths 3 11 | class_position stringlengths 3 11 | function_name stringlengths 1 62 | class_name stringlengths 0 55 | body_position stringlengths 3 11 | body_position_with_comments stringlengths 3 11 | masked_class stringlengths 14 8.32k | masked_class_with_comment stringlengths 14 8.32k | func_body stringlengths 9 6.72k | func_body_with_comment stringlengths 9 6.72k | len_func_body int64 1 643 | len_input int64 10 2.02k | len_output int64 4 1.9k | total int64 20 2.05k | file_code stringlengths 14 442k | file_code_with_comment stringlengths 14 442k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,017 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/serve/python_server.py | 140,142 | 136,145 | get_sample_data | Number | 142,145 | 142,145 | class Number(BaseModel):
# deprecated - TODO remove this in favour of Category
prediction: Optional[int] = None
@staticmethod
def get_sample_data() -> Dict[Any, Any]:
FILL_FUNC_BODY | class Number(BaseModel):
# deprecated - TODO remove this in favour of Category
prediction: Optional[int] = None
@staticmethod
def get_sample_data() -> Dict[Any, Any]:
FILL_FUNC_BODY | return {"prediction": 463}
| return {"prediction": 463}
| 3 | 64 | 17 | 81 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,018 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/serve/python_server.py | 238,240 | 145,329 | _get_sample_dict_from_datatype | PythonServer | 240,258 | 240,258 | class PythonServer(LightningWork, abc.ABC):
_start_method = "spawn"
@requires(["torch"])
def __init__( # type: ignore
self,
input_type: type = _DefaultInputData,
output_type: type = _DefaultOutputData,
**kwargs: Any,
):
"""The PythonServer Class enables to easil... | class PythonServer(LightningWork, abc.ABC):
_start_method = "spawn"
@requires(["torch"])
def __init__( # type: ignore
self,
input_type: type = _DefaultInputData,
output_type: type = _DefaultOutputData,
**kwargs: Any,
):
"""The PythonServer Class enables to easil... | if hasattr(datatype, "get_sample_data"):
return datatype.get_sample_data()
datatype_props = datatype.schema()["properties"]
out: Dict[str, Any] = {}
for k, v in datatype_props.items():
if v["type"] == "string":
out[k] = "data string"
e... | if hasattr(datatype, "get_sample_data"):
return datatype.get_sample_data()
datatype_props = datatype.schema()["properties"]
out: Dict[str, Any] = {}
for k, v in datatype_props.items():
if v["type"] == "string":
out[k] = "data string"
e... | 53 | 1,693 | 195 | 1,888 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,019 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/serve/python_server.py | 119,121 | 112,136 | request_code_sample | Text | 121,136 | 121,136 | class Text(BaseModel):
text: Optional[str] = None
@staticmethod
def get_sample_data() -> Dict[Any, Any]:
return {"text": "A portrait of a person looking away from the camera"}
@staticmethod
def request_code_sample(url: str) -> str:
FILL_FUNC_BODY | class Text(BaseModel):
text: Optional[str] = None
@staticmethod
def get_sample_data() -> Dict[Any, Any]:
return {"text": "A portrait of a person looking away from the camera"}
@staticmethod
def request_code_sample(url: str) -> str:
FILL_FUNC_BODY | return f"""
import base64
from pathlib import Path
import requests
response = requests.post('{url}', json={{
"text": "A portrait of a person looking away from the camera"
}})
# If you are using basic authentication for your app, you should add your credentials to the request:
# response = requests.post('{u... | return f"""
import base64
from pathlib import Path
import requests
response = requests.post('{url}', json={{
"text": "A portrait of a person looking away from the camera"
}})
# If you are using basic authentication for your app, you should add your credentials to the request:
# response = requests.post('{u... | 66 | 92 | 150 | 242 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,020 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/serve/serve.py | 154,155 | 1,171 | _maybe_create_instance | 157,168 | 155,168 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | render_fn_name = os.getenv("LIGHTNING_MODEL_INFERENCE_API_CLASS_NAME", None)
render_fn_module_file = os.getenv("LIGHTNING_MODEL_INFERENCE_API_FILE", None)
if render_fn_name is None or render_fn_module_file is None:
return None
module = pydoc.importfile(render_fn_module_file)
cls = getattr(mo... | """This function tries to re-create the user `ModelInferenceAPI` if the environment associated with multi workers
are present."""
render_fn_name = os.getenv("LIGHTNING_MODEL_INFERENCE_API_CLASS_NAME", None)
render_fn_module_file = os.getenv("LIGHTNING_MODEL_INFERENCE_API_FILE", None)
if render_fn_na... | 36 | 1,557 | 209 | 1,766 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,021 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/serve/serve.py | 102,103 | 53,154 | run | ModelInferenceAPI | 103,135 | 103,135 | class ModelInferenceAPI(LightningWork, abc.ABC):
def __init__(
self,
input: Optional[str] = None,
output: Optional[str] = None,
host: str = "127.0.0.1",
port: int = 7777,
workers: int = 0,
):
"""The ModelInferenceAPI Class enables to easily get your model ... | class ModelInferenceAPI(LightningWork, abc.ABC):
def __init__(
self,
input: Optional[str] = None,
output: Optional[str] = None,
host: str = "127.0.0.1",
port: int = 7777,
workers: int = 0,
):
"""The ModelInferenceAPI Class enables to easily get your model ... | global fastapi_service
if self.workers > 1:
# TODO: This is quite limitated
# Find a more reliable solution to enable multi workers serving.
env = os.environ.copy()
module = inspect.getmodule(self).__file__
env["LIGHTNING_MODEL_INFERENCE_API_FI... | global fastapi_service
if self.workers > 1:
# TODO: This is quite limitated
# Find a more reliable solution to enable multi workers serving.
env = os.environ.copy()
module = inspect.getmodule(self).__file__
env["LIGHTNING_MODEL_INFERENCE_API_FI... | 74 | 729 | 376 | 1,105 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,022 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/serve/serve.py | 49,50 | 38,53 | run | _InferenceCallable | 50,53 | 50,53 | class _InferenceCallable:
def __init__(
self,
deserialize: Callable,
predict: Callable,
serialize: Callable,
):
self.deserialize = deserialize
self.predict = predict
self.serialize = serialize
async def run(self, data) -> Any:
FILL_FUNC_BODY | class _InferenceCallable:
def __init__(
self,
deserialize: Callable,
predict: Callable,
serialize: Callable,
):
self.deserialize = deserialize
self.predict = predict
self.serialize = serialize
async def run(self, data) -> Any:
FILL_FUNC_BODY | return self.serialize(self.predict(self.deserialize(data)))
| return self.serialize(self.predict(self.deserialize(data)))
| 2 | 98 | 25 | 123 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,023 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/training.py | 186,187 | 128,204 | run | LightningTrainerScript | 187,197 | 187,197 | class LightningTrainerScript(LightningFlow):
def __init__(
self,
script_path: str,
script_args: Optional[Union[list, str]] = None,
num_nodes: int = 1,
cloud_compute: CloudCompute = CloudCompute("default"),
sanity_serving: bool = False,
script_runner: Type[Trac... | class LightningTrainerScript(LightningFlow):
def __init__(
self,
script_path: str,
script_args: Optional[Union[list, str]] = None,
num_nodes: int = 1,
cloud_compute: CloudCompute = CloudCompute("default"),
sanity_serving: bool = False,
script_runner: Type[Trac... | for work in self.ws:
if all(w.internal_ip for w in self.ws):
internal_urls = [(w.internal_ip, w.port) for w in self.ws]
work.run(internal_urls=internal_urls, **run_kwargs)
if all(w.has_finished for w in self.ws):
for w in self.ws:
... | for work in self.ws:
if all(w.internal_ip for w in self.ws):
internal_urls = [(w.internal_ip, w.port) for w in self.ws]
work.run(internal_urls=internal_urls, **run_kwargs)
if all(w.has_finished for w in self.ws):
for w in self.ws:
... | 33 | 657 | 126 | 783 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,024 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/components/training.py | 66,67 | 28,128 | run | PyTorchLightningScriptRunner | 67,87 | 67,87 | class PyTorchLightningScriptRunner(TracerPythonScript):
def __init__(
self,
script_path: str,
script_args: Optional[Union[list, str]] = None,
node_rank: int = 1,
num_nodes: int = 1,
sanity_serving: bool = False,
cloud_compute: Optional[CloudCompute] = None,
... | class PyTorchLightningScriptRunner(TracerPythonScript):
def __init__(
self,
script_path: str,
script_args: Optional[Union[list, str]] = None,
node_rank: int = 1,
num_nodes: int = 1,
sanity_serving: bool = False,
cloud_compute: Optional[CloudCompute] = None,
... | if not internal_urls:
# Note: This is called only once.
_logger.info(f"The node {self.node_rank} started !")
return None
if self.env:
os.environ.update(self.env)
distributed_env_vars = {
"MASTER_ADDR": internal_urls[0][0],
... | if not internal_urls:
# Note: This is called only once.
_logger.info(f"The node {self.node_rank} started !")
return None
if self.env:
os.environ.update(self.env)
distributed_env_vars = {
"MASTER_ADDR": internal_urls[0][0],
... | 39 | 819 | 239 | 1,058 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,026 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/core/api.py | 428,429 | 425,442 | run | LightningUvicornServer | 429,436 | 429,436 | class LightningUvicornServer(uvicorn.Server):
has_started_queue: Optional[Queue] = None
def run(self, sockets: Optional[List[socket.socket]] = None) -> None:
FILL_FUNC_BODY async def check_is_started(self, queue: Queue) -> None:
while not self.started:
await asyncio.sleep(0.1)
qu... | class LightningUvicornServer(uvicorn.Server):
has_started_queue: Optional[Queue] = None
def run(self, sockets: Optional[List[socket.socket]] = None) -> None:
FILL_FUNC_BODY async def check_is_started(self, queue: Queue) -> None:
while not self.started:
await asyncio.sleep(0.1)
qu... | self.config.setup_event_loop()
loop = asyncio.get_event_loop()
asyncio.ensure_future(self.serve(sockets=sockets))
if self.has_started_queue:
asyncio.ensure_future(self.check_is_started(self.has_started_queue))
loop.run_forever()
| self.config.setup_event_loop()
loop = asyncio.get_event_loop()
asyncio.ensure_future(self.serve(sockets=sockets))
if self.has_started_queue:
asyncio.ensure_future(self.check_is_started(self.has_started_queue))
loop.run_forever()
| 9 | 126 | 100 | 226 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,027 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/core/api.py | 118,119 | 93,138 | run_once | UIRefresher | 119,133 | 119,133 | class UIRefresher(Thread):
def __init__(
self,
api_publish_state_queue: Queue,
api_response_queue: Queue,
refresh_interval: float = 0.1,
) -> None:
super().__init__(daemon=True)
self.api_publish_state_queue = api_publish_state_queue
self.api_response_queue... | class UIRefresher(Thread):
def __init__(
self,
api_publish_state_queue: Queue,
api_response_queue: Queue,
refresh_interval: float = 0.1,
) -> None:
super().__init__(daemon=True)
self.api_publish_state_queue = api_publish_state_queue
self.api_response_queue... | with contextlib.suppress(queue.Empty):
global app_status
state, app_status = self.api_publish_state_queue.get(timeout=0)
with lock:
global_app_state_store.set_app_state(TEST_SESSION_UUID, state)
with contextlib.suppress(queue.Empty):
respo... | with contextlib.suppress(queue.Empty):
global app_status
state, app_status = self.api_publish_state_queue.get(timeout=0)
with lock:
global_app_state_store.set_app_state(TEST_SESSION_UUID, state)
with contextlib.suppress(queue.Empty):
respo... | 38 | 304 | 168 | 472 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,030 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/core/flow.py | 858,859 | 840,862 | configure_layout | _RootFlow | 859,862 | 859,862 | class _RootFlow(LightningFlow):
def __init__(self, work: LightningWork) -> None:
super().__init__()
self.work = work
@property
def ready(self) -> bool:
ready = getattr(self.work, "ready", None)
if ready is not None:
return ready
return self.work.url != ""... | class _RootFlow(LightningFlow):
def __init__(self, work: LightningWork) -> None:
super().__init__()
self.work = work
@property
def ready(self) -> bool:
ready = getattr(self.work, "ready", None)
if ready is not None:
return ready
return self.work.url != ""... | if is_overridden("configure_layout", self.work):
return [{"name": "Main", "content": self.work}]
return []
| if is_overridden("configure_layout", self.work):
return [{"name": "Main", "content": self.work}]
return []
| 10 | 170 | 41 | 211 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,032 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/just_py/just_py.py | 98,99 | 27,115 | start_server | JustPyFrontend | 99,112 | 99,112 | class JustPyFrontend(Frontend):
"""A frontend for wrapping JustPy code in your LightingFlow.
Return this in your `LightningFlow.configure_layout()` method if you wish to build the UI with ``justpy``.
To use this frontend, you must first install the `justpy` package (if running locally):
.. code-block:... | class JustPyFrontend(Frontend):
"""A frontend for wrapping JustPy code in your LightingFlow.
Return this in your `LightningFlow.configure_layout()` method if you wish to build the UI with ``justpy``.
To use this frontend, you must first install the `justpy` package (if running locally):
.. code-block:... | env = os.environ.copy()
env["LIGHTNING_FLOW_NAME"] = self.flow.name # type: ignore
env["LIGHTNING_RENDER_FUNCTION"] = self.render_fn.__name__
env["LIGHTNING_RENDER_MODULE_FILE"] = inspect.getmodule(self.render_fn).__file__ # type: ignore
env["LIGHTNING_HOST"] = host
env... | env = os.environ.copy()
env["LIGHTNING_FLOW_NAME"] = self.flow.name # type: ignore
env["LIGHTNING_RENDER_FUNCTION"] = self.render_fn.__name__
env["LIGHTNING_RENDER_MODULE_FILE"] = inspect.getmodule(self.render_fn).__file__ # type: ignore
env["LIGHTNING_HOST"] = host
env... | 45 | 649 | 269 | 918 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,033 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/panel/app_state_comm.py | 36,37 | 1,102 | _get_ws_port | 37,42 | 37,42 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if "LIGHTNING_APP_STATE_URL" in os.environ:
return 8080
return APP_SERVER_PORT
| if "LIGHTNING_APP_STATE_URL" in os.environ:
return 8080
return APP_SERVER_PORT
| 8 | 913 | 45 | 958 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,034 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/panel/panel_frontend.py | 190,191 | 1,194 | _get_allowed_hosts | 192,194 | 191,194 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # TODO: Enable only lightning.ai domain in the cloud
return "*"
| """Returns a comma separated list of host[:port] that should be allowed to connect."""
# TODO: Enable only lightning.ai domain in the cloud
return "*"
| 11 | 1,856 | 21 | 1,877 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,035 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/panel/panel_frontend.py | 159,160 | 44,190 | _get_popen_args | PanelFrontend | 160,190 | 160,190 | class PanelFrontend(Frontend):
"""The `PanelFrontend` enables you to serve Panel code as a Frontend for your LightningFlow.
Reference: https://lightning.ai/lightning-docs/workflows/add_web_ui/panel/
Args:
entry_point: The path to a .py or .ipynb file, or a pure function. The file or function must ... | class PanelFrontend(Frontend):
"""The `PanelFrontend` enables you to serve Panel code as a Frontend for your LightningFlow.
Reference: https://lightning.ai/lightning-docs/workflows/add_web_ui/panel/
Args:
entry_point: The path to a .py or .ipynb file, or a pure function. The file or function must ... | if callable(self.entry_point):
path = str(pathlib.Path(__file__).parent / "panel_serve_render_fn.py")
else:
path = pathlib.Path(self.entry_point)
abs_path = str(path)
# The app is served at http://localhost:{port}/{flow}/{entry_point}
# Lightning embeds h... | if callable(self.entry_point):
path = str(pathlib.Path(__file__).parent / "panel_serve_render_fn.py")
else:
path = pathlib.Path(self.entry_point)
abs_path = str(path)
# The app is served at http://localhost:{port}/{flow}/{entry_point}
# Lightning embeds h... | 63 | 1,152 | 293 | 1,445 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,036 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/stream_lit.py | 110,111 | 28,114 | stop_server | StreamlitFrontend | 111,114 | 111,114 | class StreamlitFrontend(Frontend):
"""A frontend for wrapping Streamlit code in your LightingFlow.
Return this in your `LightningFlow.configure_layout()` method if you wish to build the UI with ``streamlit``.
To use this frontend, you must first install the `streamlit` package (if running locally):
..... | class StreamlitFrontend(Frontend):
"""A frontend for wrapping Streamlit code in your LightingFlow.
Return this in your `LightningFlow.configure_layout()` method if you wish to build the UI with ``streamlit``.
To use this frontend, you must first install the `streamlit` package (if running locally):
..... | if self._process is None:
raise RuntimeError("Server is not running. Call `StreamlitFrontend.start_server()` first.")
self._process.kill()
| if self._process is None:
raise RuntimeError("Server is not running. Call `StreamlitFrontend.start_server()` first.")
self._process.kill()
| 13 | 841 | 46 | 887 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,037 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/streamlit_base.py | 36,37 | 1,51 | _main | 38,49 | 37,49 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | app_state = AppState(plugin=StreamLitStatePlugin())
# Fetch the information of which flow attaches to this streamlit instance
flow_state = _reduce_to_flow_scope(app_state, flow=os.environ["LIGHTNING_FLOW_NAME"])
# Call the provided render function.
# Pass it the state, scoped to the current flow.
... | """Run the render_fn with the current flow_state."""
app_state = AppState(plugin=StreamLitStatePlugin())
# Fetch the information of which flow attaches to this streamlit instance
flow_state = _reduce_to_flow_scope(app_state, flow=os.environ["LIGHTNING_FLOW_NAME"])
# Call the provided render functi... | 39 | 416 | 138 | 554 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,038 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/utils.py | 48,49 | 1,73 | _get_frontend_environment | 61,73 | 49,73 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | env = os.environ.copy()
env["LIGHTNING_FLOW_NAME"] = flow
env["LIGHTNING_RENDER_PORT"] = str(port)
env["LIGHTNING_RENDER_ADDRESS"] = str(host)
if isinstance(render_fn_or_file, str):
env["LIGHTNING_RENDER_FILE"] = render_fn_or_file
else:
env["LIGHTNING_RENDER_FUNCTION"] = render_... | """Returns an _Environ with the environment variables for serving a Frontend app set.
Args:
flow: The name of the flow, for example root.lit_frontend
render_fn_or_file: A function to render
port: The port number, for example 54321
host: The host, for example 'localhost'
Ret... | 27 | 608 | 190 | 798 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,039 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/web.py | 105,106 | 1,141 | _get_log_config | 107,133 | 106,133 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Modified from the default config found in uvicorn.config.LOGGING_CONFIG
return {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"default": {
"()": "uvicorn.logging.DefaultFormatter",
"fmt": "%(levelprefix)s %(message)s",
... | """Returns a logger configuration in the format expected by uvicorn that sends all logs to the given logfile."""
# Modified from the default config found in uvicorn.config.LOGGING_CONFIG
return {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"default": ... | 65 | 1,285 | 285 | 1,570 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,040 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/frontend/web.py | 55,56 | 30,76 | start_server | StaticWebFrontend | 56,70 | 56,70 | class StaticWebFrontend(Frontend):
"""A frontend that serves static files from a directory using FastAPI.
Return this in your `LightningFlow.configure_layout()` method if you wish to serve a HTML page.
Arguments:
serve_dir: A local directory to serve files from. This directory should at least cont... | class StaticWebFrontend(Frontend):
"""A frontend that serves static files from a directory using FastAPI.
Return this in your `LightningFlow.configure_layout()` method if you wish to serve a HTML page.
Arguments:
serve_dir: A local directory to serve files from. This directory should at least cont... | log_file = str(get_logfile())
self._process = mp.Process(
target=_start_server,
kwargs={
"host": host,
"port": port,
"serve_dir": self.serve_dir,
"path": f"/{self.flow.name}",
"log_file": log_file,
... | log_file = str(get_logfile())
self._process = mp.Process(
target=_start_server,
kwargs={
"host": host,
"port": port,
"serve_dir": self.serve_dir,
"path": f"/{self.flow.name}",
"log_file": log_file,
... | 23 | 331 | 132 | 463 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,043 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/launcher/lightning_hybrid_backend.py | 97,98 | 19,156 | delete_work | CloudHybridBackend | 98,103 | 98,103 | class CloudHybridBackend(Backend):
def __init__(self, *args, **kwargs):
super().__init__(*args, queues=QueuingSystem(CLOUD_QUEUE_TYPE), **kwargs)
cloud_backend = CloudBackend(*args, **kwargs)
kwargs.pop("queue_id")
multiprocess_backend = MultiProcessingBackend(*args, **kwargs)
... | class CloudHybridBackend(Backend):
def __init__(self, *args, **kwargs):
super().__init__(*args, queues=QueuingSystem(CLOUD_QUEUE_TYPE), **kwargs)
cloud_backend = CloudBackend(*args, **kwargs)
kwargs.pop("queue_id")
multiprocess_backend = MultiProcessingBackend(*args, **kwargs)
... | backend = self._get_backend(work)
if isinstance(backend, MultiProcessingBackend):
self._prepare_work_stop(app, work)
backend.delete_work(app, work)
| backend = self._get_backend(work)
if isinstance(backend, MultiProcessingBackend):
self._prepare_work_stop(app, work)
backend.delete_work(app, work)
| 10 | 1,567 | 60 | 1,627 | import os
from typing import Optional
from lightning_cloud.openapi import AppinstancesIdBody, Externalv1LightningappInstance
from lightning.app.core import constants
from lightning.app.core.queues import QueuingSystem
from lightning.app.launcher.lightning_backend import CloudBackend
from lightning.app.runners.backend... | import os
from typing import Optional
from lightning_cloud.openapi import AppinstancesIdBody, Externalv1LightningappInstance
from lightning.app.core import constants
from lightning.app.core.queues import QueuingSystem
from lightning.app.launcher.lightning_backend import CloudBackend
from lightning.app.runners.backend... |
1,044 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/pdb/pdb.py | 48,49 | 1,51 | set_trace | 49,51 | 49,51 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | pdb = MPPdb()
pdb.set_trace(sys._getframe().f_back)
| pdb = MPPdb()
pdb.set_trace(sys._getframe().f_back)
| 4 | 453 | 29 | 482 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,045 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/pdb/pdb.py | 35,36 | 29,48 | _cmdloop | MPPdb | 36,48 | 36,48 | class MPPdb(pdb.Pdb):
"""A Pdb wrapper that works in a multiprocessing environment."""
def __init__(self) -> None:
pdb.Pdb.__init__(self, nosigint=True)
def _cmdloop(self) -> None:
FILL_FUNC_BODY | class MPPdb(pdb.Pdb):
"""A Pdb wrapper that works in a multiprocessing environment."""
def __init__(self) -> None:
pdb.Pdb.__init__(self, nosigint=True)
def _cmdloop(self) -> None:
FILL_FUNC_BODY | stdin_back = sys.stdin
with _stdin_lock:
try:
if _stdin_fd is not None:
if not _stdin[0]:
_stdin[0] = os.fdopen(_stdin_fd)
sys.stdin = _stdin[0]
self.cmdloop()
finally:
... | stdin_back = sys.stdin
with _stdin_lock:
try:
if _stdin_fd is not None:
if not _stdin[0]:
_stdin[0] = os.fdopen(_stdin_fd)
sys.stdin = _stdin[0]
self.cmdloop()
finally:
... | 25 | 84 | 114 | 198 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,047 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/plugin/plugin.py | 55,56 | 40,117 | run_job | LightningPlugin | 67,102 | 56,102 | class LightningPlugin:
"""A ``LightningPlugin`` is a single-file Python class that can be executed within a cloudspace to perform
actions."""
def __init__(self) -> None:
self.project_id = ""
self.cloudspace_id = ""
self.cluster_id = ""
self.source_app = ""
self.keep_... | class LightningPlugin:
"""A ``LightningPlugin`` is a single-file Python class that can be executed within a cloudspace to perform
actions."""
def __init__(self) -> None:
self.project_id = ""
self.cloudspace_id = ""
self.cluster_id = ""
self.source_app = ""
self.keep_... | from lightning.app.runners.backends.cloud import CloudBackend
from lightning.app.runners.cloud import CloudRuntime
logger.info(f"Processing job run request. name: {name}, app_entrypoint: {app_entrypoint}, env_vars: {env_vars}")
# Dispatch the job
_set_flow_context()
en... | """Run a job in the cloudspace associated with this plugin.
Args:
name: The name of the job.
app_entrypoint: The path of the file containing the app to run.
env_vars: Additional env vars to set when running the app.
Returns:
The spec of the creat... | 65 | 430 | 416 | 846 | # Copyright The Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | # Copyright The Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... |
1,048 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/backends/backend.py | 54,62 | 26,123 | _dynamic_run_wrapper | Backend | 62,91 | 62,91 | class Backend(ABC):
"""The Backend provides and interface for the framework to communicate with resources in the cloud."""
def __init__(self, entrypoint_file: str, queues: QueuingSystem, queue_id: str) -> None:
self.queues: QueuingSystem = queues
self.queue_id = queue_id
self.entrypoint... | class Backend(ABC):
"""The Backend provides and interface for the framework to communicate with resources in the cloud."""
def __init__(self, entrypoint_file: str, queues: QueuingSystem, queue_id: str) -> None:
self.queues: QueuingSystem = queues
self.queue_id = queue_id
self.entrypoint... | if not work.name:
# the name is empty, which means this work was never assigned to a parent flow
raise AttributeError(
f"Failed to create process for {work.__class__.__name__}."
f" Make sure to set this work as an attribute of a `LightningFlow` before call... | if not work.name:
# the name is empty, which means this work was never assigned to a parent flow
raise AttributeError(
f"Failed to create process for {work.__class__.__name__}."
f" Make sure to set this work as an attribute of a `LightningFlow` before call... | 102 | 1,005 | 289 | 1,294 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,049 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/backends/cloud.py | 42,43 | 25,50 | stop_all_works | CloudBackend | 43,45 | 43,45 | class CloudBackend(Backend):
def __init__(
self,
entrypoint_file,
queue_id: Optional[str] = None,
status_update_interval: Optional[int] = None,
client_max_tries: Optional[int] = None,
):
super().__init__(entrypoint_file, queues=QueuingSystem.MULTIPROCESS, queue_id... | class CloudBackend(Backend):
def __init__(
self,
entrypoint_file,
queue_id: Optional[str] = None,
status_update_interval: Optional[int] = None,
client_max_tries: Optional[int] = None,
):
super().__init__(entrypoint_file, queues=QueuingSystem.MULTIPROCESS, queue_id... | raise NotImplementedError
| raise NotImplementedError
| 2 | 334 | 11 | 345 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,050 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/backends/mp_process.py | 131,132 | 116,138 | stop_work | CloudMultiProcessingBackend | 132,136 | 132,136 | class CloudMultiProcessingBackend(MultiProcessingBackend):
def __init__(self, *args: Any, **kwargs: Any):
super().__init__(*args, **kwargs)
# Note: Track the open ports to close them on termination.
self.ports = []
def create_work(self, app, work) -> None:
work._host = "0.0.0.0... | class CloudMultiProcessingBackend(MultiProcessingBackend):
def __init__(self, *args: Any, **kwargs: Any):
super().__init__(*args, **kwargs)
# Note: Track the open ports to close them on termination.
self.ports = []
def create_work(self, app, work) -> None:
work._host = "0.0.0.0... | disable_port(work._port)
self.ports = [port for port in self.ports if port != work._port]
return super().stop_work(app, work)
| disable_port(work._port)
self.ports = [port for port in self.ports if port != work._port]
return super().stop_work(app, work)
| 15 | 250 | 50 | 300 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,051 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/backends/mp_process.py | 58,59 | 28,75 | restart | MultiProcessWorkManager | 59,71 | 59,71 | class MultiProcessWorkManager(WorkManager):
def __init__(self, app, work):
self.app = app
self.work = work
self._process = None
def start(self):
self._work_runner = WorkRunner(
work=self.work,
work_name=self.work.name,
caller_queue=self.app.ca... | class MultiProcessWorkManager(WorkManager):
def __init__(self, app, work):
self.app = app
self.work = work
self._process = None
def start(self):
self._work_runner = WorkRunner(
work=self.work,
work_name=self.work.name,
caller_queue=self.app.ca... | assert not self.is_alive()
work = self._work_runner.work
# un-wrap ProxyRun.
is_proxy = isinstance(work.run, ProxyWorkRun)
if is_proxy:
work_run = work.run
work.run = work_run.work_run
work._restarting = True
self.start()
if is_prox... | assert not self.is_alive()
work = self._work_runner.work
# un-wrap ProxyRun.
is_proxy = isinstance(work.run, ProxyWorkRun)
if is_proxy:
work_run = work.run
work.run = work_run.work_run
work._restarting = True
self.start()
if is_prox... | 30 | 417 | 123 | 540 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,052 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/backends/mp_process.py | 112,113 | 75,116 | delete_work | MultiProcessingBackend | 113,116 | 113,116 | class MultiProcessingBackend(Backend):
def __init__(self, entrypoint_file: str):
super().__init__(entrypoint_file=entrypoint_file, queues=QueuingSystem.MULTIPROCESS, queue_id="0")
def create_work(self, app, work) -> None:
if constants.LIGHTNING_CLOUDSPACE_HOST is not None:
# Overrid... | class MultiProcessingBackend(Backend):
def __init__(self, entrypoint_file: str):
super().__init__(entrypoint_file=entrypoint_file, queues=QueuingSystem.MULTIPROCESS, queue_id="0")
def create_work(self, app, work) -> None:
if constants.LIGHTNING_CLOUDSPACE_HOST is not None:
# Overrid... | self.stop_work(app, work)
| self.stop_work(app, work)
| 2 | 543 | 17 | 560 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,053 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/multiprocess.py | 48,49 | 36,161 | dispatch | MultiProcessRuntime | 50,150 | 49,150 | @dataclass
class MultiProcessRuntime(Runtime):
"""Runtime to launch the LightningApp into multiple processes.
The MultiProcessRuntime will generate 1 process for each :class:`~lightning.app.core.work.LightningWork` and attach
queues to enable communication between the different processes.
"""
bac... | @dataclass
class MultiProcessRuntime(Runtime):
"""Runtime to launch the LightningApp into multiple processes.
The MultiProcessRuntime will generate 1 process for each :class:`~lightning.app.core.work.LightningWork` and attach
queues to enable communication between the different processes.
"""
bac... | try:
_set_flow_context()
# Note: In case the runtime is used in the cloud.
in_cloudspace = constants.LIGHTNING_CLOUDSPACE_HOST is not None
self.host = "0.0.0.0" if constants.APP_SERVER_IN_CLOUD or in_cloudspace else self.host # noqa: S104
self.app.b... | """Method to dispatch and run the LightningApp."""
try:
_set_flow_context()
# Note: In case the runtime is used in the cloud.
in_cloudspace = constants.LIGHTNING_CLOUDSPACE_HOST is not None
self.host = "0.0.0.0" if constants.APP_SERVER_IN_CLOUD or in_clou... | 228 | 299 | 1,226 | 1,525 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,055 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/runtime.py | 128,129 | 104,183 | terminate | Runtime | 130,169 | 129,169 | @dataclass
class Runtime:
app: Optional[LightningApp] = None
entrypoint: Optional[Path] = None
start_server: bool = True
host: str = APP_SERVER_HOST
port: int = APP_SERVER_PORT
processes: Dict[str, multiprocessing.Process] = field(default_factory=dict)
threads: List[Thread] = field(default_f... | @dataclass
class Runtime:
app: Optional[LightningApp] = None
entrypoint: Optional[Path] = None
start_server: bool = True
host: str = APP_SERVER_HOST
port: int = APP_SERVER_PORT
processes: Dict[str, multiprocessing.Process] = field(default_factory=dict)
threads: List[Thread] = field(default_f... | logger.info("Your Lightning App is being stopped. This won't take long.")
self.done = False
has_messaged = False
while not self.done:
try:
if self.app.backend is not None:
self.app.backend.stop_all_works(self.app.works)
if ... | """This method is used to terminate all the objects (threads, processes, etc..) created by the app."""
logger.info("Your Lightning App is being stopped. This won't take long.")
self.done = False
has_messaged = False
while not self.done:
try:
if self.ap... | 108 | 563 | 426 | 989 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,056 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/runners/runtime_type.py | 28,29 | 24,34 | get_runtime | RuntimeType | 29,34 | 29,34 | class RuntimeType(Enum):
MULTIPROCESS = "multiprocess"
CLOUD = "cloud"
def get_runtime(self) -> Type["Runtime"]:
FILL_FUNC_BODY | class RuntimeType(Enum):
MULTIPROCESS = "multiprocess"
CLOUD = "cloud"
def get_runtime(self) -> Type["Runtime"]:
FILL_FUNC_BODY | if self == RuntimeType.MULTIPROCESS:
return MultiProcessRuntime
if self == RuntimeType.CLOUD:
return CloudRuntime
raise ValueError("Unknown runtime type")
| if self == RuntimeType.MULTIPROCESS:
return MultiProcessRuntime
if self == RuntimeType.CLOUD:
return CloudRuntime
raise ValueError("Unknown runtime type")
| 16 | 57 | 52 | 109 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,057 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/source_code/hashing.py | 19,20 | 1,52 | _get_hash | 38,52 | 20,52 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # validate input
if algorithm == "blake2":
h = hashlib.blake2b(digest_size=20)
elif algorithm == "md5":
h = hashlib.md5()
else:
raise ValueError(f"Algorithm {algorithm} not supported")
# calculate hash for all files
for file in files:
with open(file, "rb") as f:
... | """Hashes the contents of a list of files.
Parameters
----------
files: List[Path]
List of files.
algorithm: str, default "blake2"
Algorithm to hash contents. "blake2" is set by default because it
is faster than "md5". [1]
chunk_num_blocks: int, default 128
Block... | 49 | 415 | 164 | 579 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,058 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/source_code/local.py | 118,119 | 28,150 | package | LocalSourceCodeDir | 120,127 | 119,127 | class LocalSourceCodeDir:
"""Represents the source code directory and provide the utilities to manage it."""
def __init__(
self,
path: Path,
ignore_functions: Optional[List[_IGNORE_FUNCTION]] = None,
default_ignore: bool = True,
package_source: bool = True,
sys_c... | class LocalSourceCodeDir:
"""Represents the source code directory and provide the utilities to manage it."""
def __init__(
self,
path: Path,
ignore_functions: Optional[List[_IGNORE_FUNCTION]] = None,
default_ignore: bool = True,
package_source: bool = True,
sys_c... | if self.package_path.exists():
return self.package_path
# create a packaging session if not available
with self.packaging_session() as session_path:
_tar_path(source_path=session_path, target_file=str(self.package_path), compression=True)
return self.package_path
... | """Packages local path using tar."""
if self.package_path.exists():
return self.package_path
# create a packaging session if not available
with self.packaging_session() as session_path:
_tar_path(source_path=session_path, target_file=str(self.package_path), compre... | 21 | 1,312 | 91 | 1,403 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,059 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/source_code/tar.py | 168,169 | 1,202 | _tar_path_subprocess | 181,202 | 169,202 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Only add compression when users explicitly request it.
# We do this because it takes too long to compress
# large datastores.
tar_flags = "-cvf"
if compression:
tar_flags = "-zcvf"
if os.path.isdir(source_path):
command = f"tar -C {source_path} {tar_flags} {target_file} ./"
... | """Create tar from directory using `tar`
Parameters
----------
source_path: str
Source directory or file
target_file
Target tar file
compression: bool, default False
Enable compression, which is disabled by default.
"""
# Only add compression when users explicit... | 69 | 1,628 | 275 | 1,903 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,060 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/source_code/uploader.py | 58,59 | 23,112 | upload_data | FileUploader | 78,91 | 59,91 | class FileUploader:
"""This class uploads a source file with presigned url to S3.
Attributes
----------
source_file: str
Source file to upload
presigned_url: str
Presigned urls dictionary, with key as part number and values as urls
retries: int
Amount of retries when req... | class FileUploader:
"""This class uploads a source file with presigned url to S3.
Attributes
----------
source_file: str
Source file to upload
presigned_url: str
Presigned urls dictionary, with key as part number and values as urls
retries: int
Amount of retries when req... | disconnect_retries = retries
while disconnect_retries > 0:
try:
retries = Retry(total=10)
with requests.Session() as s:
s.mount("https://", HTTPAdapter(max_retries=retries))
return self._upload_data(s, url, data)
... | """Send data to url.
Parameters
----------
url: str
url string to send data to
data: bytes
Bytes of data to send to url
retries: int
Amount of retries
disconnect_retry_wait_seconds: int
Amount of seconds between di... | 35 | 764 | 145 | 909 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,061 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/storage/copier.py | 109,114 | 1,156 | _copy_files | 122,156 | 114,156 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if fs is None:
fs = _filesystem()
def _copy(from_path: pathlib.Path, to_path: pathlib.Path) -> Optional[Exception]:
_logger.debug(f"Copying {str(from_path)} -> {str(to_path)}")
try:
# NOTE: S3 does not have a concept of directories, so we do not need to create one.
... | """Copy files from one path to another.
The source path must either be an existing file or folder. If the source is a folder, the destination path is
interpreted as a folder as well. If the source is a file, the destination path is interpreted as a file too.
Files in a folder are copied recursively an... | 143 | 1,298 | 468 | 1,766 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,062 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/storage/copier.py | 73,74 | 39,101 | join | _Copier | 74,77 | 74,77 | class _Copier(Thread):
"""The Copier is a thread running alongside a LightningWork.
It maintains two queues that connect to the central
:class:`~lightning.app.storage.orchestrator.StorageOrchestrator`,
the request queue and the response queue. The Copier waits for a request to be pushed to the request ... | class _Copier(Thread):
"""The Copier is a thread running alongside a LightningWork.
It maintains two queues that connect to the central
:class:`~lightning.app.storage.orchestrator.StorageOrchestrator`,
the request queue and the response queue. The Copier waits for a request to be pushed to the request ... | self._exit_event.set()
super().join(timeout)
| self._exit_event.set()
super().join(timeout)
| 2 | 735 | 22 | 757 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,065 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/storage/filesystem.py | 12,13 | 1,167 | _get_files | 13,31 | 13,31 | import os
import shutil
from pathlib import Path
from typing import Callable, List
from fsspec.implementations.local import LocalFileSystem
from lightning.app.storage.copier import _copy_files
from lightning.app.storage.path import _filesystem, _shared_storage_path
def _get_files(fs, src: Path, dst: Path, overwrite... | import os
import shutil
from pathlib import Path
from typing import Callable, List
from fsspec.implementations.local import LocalFileSystem
from lightning.app.storage.copier import _copy_files
from lightning.app.storage.path import _filesystem, _shared_storage_path
def _get_files(fs, src: Path, dst: Path, overwrite... | dst = dst.resolve()
if fs.isdir(src):
if isinstance(fs, LocalFileSystem):
dst = dst.resolve()
if fs.exists(dst):
if overwrite:
fs.rm(str(dst), recursive=True)
else:
raise FileExistsError(f"The file {dst} was ... | dst = dst.resolve()
if fs.isdir(src):
if isinstance(fs, LocalFileSystem):
dst = dst.resolve()
if fs.exists(dst):
if overwrite:
fs.rm(str(dst), recursive=True)
else:
raise FileExistsError(f"The file {dst} was ... | 43 | 1,625 | 203 | 1,828 | import os
import shutil
from pathlib import Path
from typing import Callable, List
from fsspec.implementations.local import LocalFileSystem
from lightning.app.storage.copier import _copy_files
from lightning.app.storage.path import _filesystem, _shared_storage_path
def _get_files(fs, src: Path, dst: Path, overwrite... | import os
import shutil
from pathlib import Path
from typing import Callable, List
from fsspec.implementations.local import LocalFileSystem
from lightning.app.storage.copier import _copy_files
from lightning.app.storage.path import _filesystem, _shared_storage_path
def _get_files(fs, src: Path, dst: Path, overwrite... | |
1,066 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/storage/filesystem.py | 105,106 | 31,167 | walk | FileSystem | 112,140 | 106,140 | class FileSystem:
"""This filesystem enables to easily move files from and to the shared storage."""
def __init__(self) -> None:
self._fs = _filesystem()
self._root = str(_shared_storage_path())
def put(self, src_path: str, dst_path: str, put_fn: Callable = _copy_files) -> None:
""... | class FileSystem:
"""This filesystem enables to easily move files from and to the shared storage."""
def __init__(self) -> None:
self._fs = _filesystem()
self._root = str(_shared_storage_path())
def put(self, src_path: str, dst_path: str, put_fn: Callable = _copy_files) -> None:
""... | if not path.startswith("/"):
raise Exception(f"The provided destination {path} needs to start with `/`.")
shared_path = Path(os.path.join(self._root, path[1:])).resolve()
if not self._fs.exists(shared_path):
raise RuntimeError(f"The provided path {shared_path} doesn't e... | """This method enables to list files from the shared storage in a blocking fashion.
Arguments:
path: The path to files to list.
"""
if not path.startswith("/"):
raise Exception(f"The provided destination {path} needs to start with `/`.")
shared_path = P... | 80 | 1,260 | 293 | 1,553 | import os
import shutil
from pathlib import Path
from typing import Callable, List
from fsspec.implementations.local import LocalFileSystem
from lightning.app.storage.copier import _copy_files
from lightning.app.storage.path import _filesystem, _shared_storage_path
def _get_files(fs, src: Path, dst: Path, overwrite... | import os
import shutil
from pathlib import Path
from typing import Callable, List
from fsspec.implementations.local import LocalFileSystem
from lightning.app.storage.copier import _copy_files
from lightning.app.storage.path import _filesystem, _shared_storage_path
def _get_files(fs, src: Path, dst: Path, overwrite... |
1,067 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/storage/mount.py | 69,71 | 24,76 | protocol | Mount | 72,76 | 71,76 | @dataclass
class Mount:
"""Allows you to mount the contents of an AWS S3 bucket on disk when running an app on the cloud.
Arguments:
source: The location which contains the external data which should be mounted in the
running work. At the moment, only AWS S3 mounts are supported. This must ... | @dataclass
class Mount:
"""Allows you to mount the contents of an AWS S3 bucket on disk when running an app on the cloud.
Arguments:
source: The location which contains the external data which should be mounted in the
running work. At the moment, only AWS S3 mounts are supported. This must ... | for protocol in __MOUNT_PROTOCOLS__:
if self.source.startswith(protocol):
return protocol
return ""
| """The backing storage protocol indicated by this drive source."""
for protocol in __MOUNT_PROTOCOLS__:
if self.source.startswith(protocol):
return protocol
return ""
| 10 | 545 | 40 | 585 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,068 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/storage/payload.py | 268,269 | 264,275 | save | Payload | 269,272 | 269,272 | class Payload(_BasePayload):
"""The Payload object enables to transfer python objects from one work to another in a similar fashion as
:class:`~lightning.app.storage.path.Path`."""
def save(self, obj: Any, path: str) -> None:
FILL_FUNC_BODY def load(self, path: str) -> Any:
with open(path, "rb")... | class Payload(_BasePayload):
"""The Payload object enables to transfer python objects from one work to another in a similar fashion as
:class:`~lightning.app.storage.path.Path`."""
def save(self, obj: Any, path: str) -> None:
FILL_FUNC_BODY def load(self, path: str) -> Any:
with open(path, "rb")... | with open(path, "wb") as f:
pickle.dump(obj, f)
| with open(path, "wb") as f:
pickle.dump(obj, f)
| 7 | 118 | 29 | 147 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,070 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/structures/dict.py | 25,26 | 1,161 | _prepare_name | 26,30 | 26,30 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | return str(component.name.split(".")[-1])
# TODO: add support and tests for dict operations (insertion, update, etc.)
| return str(component.name.split(".")[-1])
# TODO: add support and tests for dict operations (insertion, update, etc.)
| 14 | 1,727 | 40 | 1,767 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,071 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/structures/dict.py | 121,123 | 30,161 | state | Dict | 124,131 | 123,131 | class Dict(t.Dict[str, T]):
def __init__(self, **kwargs: T):
"""The Dict Object is used to represents dict collection of :class:`~lightning.app.core.work.LightningWork` or
:class:`~lightning.app.core.flow.LightningFlow`.
Example:
>>> from lightning.app import LightningFlow, Lig... | class Dict(t.Dict[str, T]):
def __init__(self, **kwargs: T):
"""The Dict Object is used to represents dict collection of :class:`~lightning.app.core.work.LightningWork` or
:class:`~lightning.app.core.flow.LightningFlow`.
Example:
>>> from lightning.app import LightningFlow, Lig... | from lightning.app.core import LightningFlow, LightningWork
return {
"works": {key: item.state for key, item in self.items() if isinstance(item, LightningWork)},
"flows": {key: item.state for key, item in self.items() if isinstance(item, LightningFlow)},
}
| """Returns the state of its flows and works."""
from lightning.app.core import LightningFlow, LightningWork
return {
"works": {key: item.state for key, item in self.items() if isinstance(item, LightningWork)},
"flows": {key: item.state for key, item in self.items() if is... | 30 | 1,404 | 93 | 1,497 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,072 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/structures/list.py | 25,26 | 1,178 | _prepare_name | 26,30 | 26,30 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | return str(component.name.split(".")[-1])
# TODO: add support and tests for list operations (concatenation, deletion, insertion, etc.)
| return str(component.name.split(".")[-1])
# TODO: add support and tests for list operations (concatenation, deletion, insertion, etc.)
| 15 | 1,834 | 45 | 1,879 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,073 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/structures/list.py | 116,118 | 30,178 | state | List | 119,128 | 118,128 | class List(t.List[T]):
def __init__(self, *items: T):
"""The List Object is used to represents list collection of :class:`~lightning.app.core.work.LightningWork` or
:class:`~lightning.app.core.flow.LightningFlow`.
Example:
>>> from lightning.app import LightningFlow, LightningW... | class List(t.List[T]):
def __init__(self, *items: T):
"""The List Object is used to represents list collection of :class:`~lightning.app.core.work.LightningWork` or
:class:`~lightning.app.core.flow.LightningFlow`.
Example:
>>> from lightning.app import LightningFlow, LightningW... | from lightning.app.core import LightningFlow, LightningWork
works = [item for item in self if isinstance(item, LightningWork)]
children = [item for item in self if isinstance(item, LightningFlow)]
return {
"works": {_prepare_name(w): w.state for w in works},
"flo... | """Returns the state of its flows and works."""
from lightning.app.core import LightningFlow, LightningWork
works = [item for item in self if isinstance(item, LightningWork)]
children = [item for item in self if isinstance(item, LightningFlow)]
return {
"works": {_pr... | 42 | 1,489 | 117 | 1,606 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,074 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/app_commands.py | 43,44 | 1,128 | _extract_commands_from_file | 49,83 | 44,83 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | cl = CommandLines(
file=file_name,
)
with open(file_name) as f:
file_lines = f.readlines()
for line_number, line in enumerate(file_lines):
line = line.strip()
if line in APP_COMMAND_LINES_TO_IGNORE:
continue
# stop parsing at first non-comment line a... | """Extract all lines at the top of the file which contain commands to execute.
The return struct contains a list of commands to execute with the corresponding line number the command executed on.
"""
cl = CommandLines(
file=file_name,
)
with open(file_name) as f:
file_lines = f... | 122 | 972 | 329 | 1,301 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,075 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/app_logs.py | 74,82 | 1,138 | _app_logs_reader | 82,138 | 82,138 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | read_queue = queue.PriorityQueue()
# We will use a socket per component
log_sockets = [
logs_api_client.create_lightning_logs_socket(
project_id=project_id,
app_id=app_id,
component=component_name,
on_message_callback=_push_log_events_to_read_queue_ca... | read_queue = queue.PriorityQueue()
# We will use a socket per component
log_sockets = [
logs_api_client.create_lightning_logs_socket(
project_id=project_id,
app_id=app_id,
component=component_name,
on_message_callback=_push_log_events_to_read_queue_ca... | 223 | 742 | 636 | 1,378 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,076 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/auth.py | 41,42 | 1,62 | _credential_string_to_basic_auth_params | 47,62 | 42,62 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if credential_string.count(":") != 1:
raise ValueError(
"Credential string must follow the format username:password; "
+ f"the provided one ('{credential_string}') does not."
)
username, password = credential_string.split(":")
if not username:
raise ValueErr... | """Returns the name/ID pair for each given Secret name.
Raises a `ValueError` if any of the given Secret names do not exist.
"""
if credential_string.count(":") != 1:
raise ValueError(
"Credential string must follow the format username:password; "
+ f"the provided one (... | 47 | 449 | 141 | 590 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,077 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/auth.py | 31,32 | 24,41 | _get_api_token | _AuthTokenGetter | 32,41 | 32,41 | class _AuthTokenGetter:
def __init__(self, api_client: ApiClient):
self.api_client = api_client
self._auth = Auth()
self._auth.authenticate()
self._auth_service = AuthServiceApi(api_client)
def _get_api_token(self) -> str:
FILL_FUNC_BODY | class _AuthTokenGetter:
def __init__(self, api_client: ApiClient):
self.api_client = api_client
self._auth = Auth()
self._auth.authenticate()
self._auth_service = AuthServiceApi(api_client)
def _get_api_token(self) -> str:
FILL_FUNC_BODY | token_resp = self._auth_service.auth_service_login(
body=V1LoginRequest(
username=self._auth.username,
api_key=self._auth.api_key,
)
)
return token_resp.token
| token_resp = self._auth_service.auth_service_login(
body=V1LoginRequest(
username=self._auth.username,
api_key=self._auth.api_key,
)
)
return token_resp.token
| 10 | 96 | 76 | 172 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,079 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/cli_helpers.py | 200,201 | 121,238 | _collect_open_api_json | _LightningAppOpenAPIRetriever | 202,238 | 201,238 | class _LightningAppOpenAPIRetriever:
def __init__(
self,
app_id_or_name_or_url: Optional[str],
use_cache: bool = False,
):
"""This class encapsulates the logic to collect the openapi.json file from the app to use the CLI Commands.
Arguments:
app_id_or_name_or... | class _LightningAppOpenAPIRetriever:
def __init__(
self,
app_id_or_name_or_url: Optional[str],
use_cache: bool = False,
):
"""This class encapsulates the logic to collect the openapi.json file from the app to use the CLI Commands.
Arguments:
app_id_or_name_or... | if _is_url(self.app_id_or_name_or_url):
self.url = self.app_id_or_name_or_url
assert self.url
resp = requests.get(self.url + "/openapi.json")
if resp.status_code != 200:
print(f"ERROR: The server didn't process the request properly. Found {resp.jso... | """This function is used to retrieve the current url associated with an id."""
if _is_url(self.app_id_or_name_or_url):
self.url = self.app_id_or_name_or_url
assert self.url
resp = requests.get(self.url + "/openapi.json")
if resp.status_code != 200:
... | 146 | 1,008 | 501 | 1,509 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,080 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/cloud.py | 26,27 | 1,64 | _get_project | 28,57 | 27,57 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if project_id is None:
project_id = LIGHTNING_CLOUD_PROJECT_ID
if project_id is not None:
project = client.projects_service_get_project(project_id)
if not project:
raise ValueError(
"Environment variable `LIGHTNING_CLOUD_PROJECT_ID` is set but could not find ... | """Get a project membership for the user from the backend."""
if project_id is None:
project_id = LIGHTNING_CLOUD_PROJECT_ID
if project_id is not None:
project = client.projects_service_get_project(project_id)
if not project:
raise ValueError(
"Environmen... | 80 | 415 | 345 | 760 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,081 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/clusters.py | 24,25 | 1,53 | _get_default_cluster | 30,53 | 25,53 | import random
from lightning_cloud.openapi import ProjectIdProjectclustersbindingsBody, V1ClusterType
from lightning_cloud.openapi.rest import ApiException
from lightning.app.utilities.network import LightningClient
def _ensure_cluster_project_binding(client: LightningClient, project_id: str, cluster_id: str) -> No... | import random
from lightning_cloud.openapi import ProjectIdProjectclustersbindingsBody, V1ClusterType
from lightning_cloud.openapi.rest import ApiException
from lightning.app.utilities.network import LightningClient
def _ensure_cluster_project_binding(client: LightningClient, project_id: str, cluster_id: str) -> No... | cluster_bindings = client.projects_service_list_project_cluster_bindings(project_id=project_id).clusters
if not cluster_bindings:
raise ValueError(f"No clusters are bound to the project {project_id}.")
if len(cluster_bindings) == 1:
return cluster_bindings[0].cluster_id
clusters = []
... | """This utility implements a minimal version of the cluster selection logic used in the cloud.
TODO: This should be requested directly from the platform.
"""
cluster_bindings = client.projects_service_list_project_cluster_bindings(project_id=project_id).clusters
if not cluster_bindings:
r... | 73 | 303 | 281 | 584 | import random
from lightning_cloud.openapi import ProjectIdProjectclustersbindingsBody, V1ClusterType
from lightning_cloud.openapi.rest import ApiException
from lightning.app.utilities.network import LightningClient
def _ensure_cluster_project_binding(client: LightningClient, project_id: str, cluster_id: str) -> No... | import random
from lightning_cloud.openapi import ProjectIdProjectclustersbindingsBody, V1ClusterType
from lightning_cloud.openapi.rest import ApiException
from lightning.app.utilities.network import LightningClient
def _ensure_cluster_project_binding(client: LightningClient, project_id: str, cluster_id: str) -> No... | |
1,082 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/component.py | 52,53 | 1,153 | _sanitize_state | 58,82 | 53,82 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | from lightning.app.storage import Drive, Path
from lightning.app.storage.payload import _BasePayload
def sanitize_path(path: Path) -> Path:
path_copy = Path(path)
path_copy._sanitize()
return path_copy
def sanitize_payload(payload: _BasePayload):
return type(payload).fr... | """Utility function to sanitize the state of a component.
Sanitization enables the state to be deep-copied and hashed.
"""
from lightning.app.storage import Drive, Path
from lightning.app.storage.payload import _BasePayload
def sanitize_path(path: Path) -> Path:
path_copy = Path(path)... | 61 | 1,342 | 321 | 1,663 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,083 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/dependency_caching.py | 19,20 | 1,28 | get_hash | 21,28 | 20,28 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | h = hashlib.blake2b(digest_size=20)
if not path.exists():
raise FileNotFoundError(f"{path} does not exist")
with path.open("rb") as f:
for chunk in iter(lambda: f.read(chunk_num_blocks * h.block_size), b""):
h.update(chunk)
return h.hexdigest()
| """Get the hash of a file."""
h = hashlib.blake2b(digest_size=20)
if not path.exists():
raise FileNotFoundError(f"{path} does not exist")
with path.open("rb") as f:
for chunk in iter(lambda: f.read(chunk_num_blocks * h.block_size), b""):
h.update(chunk)
return h.hexdigest... | 26 | 211 | 110 | 321 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,084 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/enum.py | 63,64 | 1,83 | make_status | 64,75 | 64,75 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | status = {
"stage": stage,
"timestamp": datetime.now(tz=timezone.utc).timestamp(),
}
if message:
status["message"] = message
if reason:
status["reason"] = reason
return status
| status = {
"stage": stage,
"timestamp": datetime.now(tz=timezone.utc).timestamp(),
}
if message:
status["message"] = message
if reason:
status["reason"] = reason
return status
| 20 | 695 | 77 | 772 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,085 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/exceptions.py | 35,36 | 22,52 | invoke | _ApiExceptionHandler | 36,52 | 36,52 | class _ApiExceptionHandler(Group):
"""Attempts to convert ApiExceptions to ClickExceptions.
This process clarifies the error for the user by:
1. Showing the error message from the lightning.ai servers,
instead of showing the entire HTTP response
2. Suppressing long tracebacks
However, if th... | class _ApiExceptionHandler(Group):
"""Attempts to convert ApiExceptions to ClickExceptions.
This process clarifies the error for the user by:
1. Showing the error message from the lightning.ai servers,
instead of showing the entire HTTP response
2. Suppressing long tracebacks
However, if th... | try:
return super().invoke(ctx)
except ApiException as api:
exception_messages = []
if 400 <= api.status < 500:
try:
body = loads(api.body)
except JSONDecodeError:
raise api
except... | try:
return super().invoke(ctx)
except ApiException as api:
exception_messages = []
if 400 <= api.status < 500:
try:
body = loads(api.body)
except JSONDecodeError:
raise api
except... | 31 | 143 | 137 | 280 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,086 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/frontend.py | 32,33 | 1,90 | update_index_file | 33,65 | 33,65 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | import shutil
from pathlib import Path
entry_file = Path(ui_root) / "index.html"
original_file = Path(ui_root) / "index.original.html"
if not original_file.exists():
shutil.copyfile(entry_file, original_file) # keep backup
else:
# revert index.html in case it was modified afte... | import shutil
from pathlib import Path
entry_file = Path(ui_root) / "index.html"
original_file = Path(ui_root) / "index.original.html"
if not original_file.exists():
shutil.copyfile(entry_file, original_file) # keep backup
else:
# revert index.html in case it was modified afte... | 118 | 640 | 424 | 1,064 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,087 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/git.py | 60,61 | 1,87 | check_if_remote_head_is_different | 67,79 | 61,79 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Check SHA values.
local_sha = execute_git_command(["rev-parse", "@"])
remote_sha = execute_git_command(["rev-parse", r"@{u}"])
base_sha = execute_git_command(["merge-base", "@", r"@{u}"])
# Whenever a SHA is not avaialble, just return.
if any("fatal" in f for f in (local_sha, remote_sha, base... | """Checks if remote git repository is different than the version available locally.
This only compares the local SHA to the HEAD commit of a given branch. This check won't be used if user isn't in a
HEAD locally.
"""
# Check SHA values.
local_sha = execute_git_command(["rev-parse", "@"])
r... | 44 | 815 | 160 | 975 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,088 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/imports.py | 51,52 | 1,149 | requires | 52,74 | 52,74 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if not isinstance(module_paths, list):
module_paths = [module_paths]
def decorator(func):
@functools.wraps(func)
def wrapper(*args: Any, **kwargs: Any):
unavailable_modules = [f"'{module}'" for module in module_paths if not module_available(module)]
if any(unavai... | if not isinstance(module_paths, list):
module_paths = [module_paths]
def decorator(func):
@functools.wraps(func)
def wrapper(*args: Any, **kwargs: Any):
unavailable_modules = [f"'{module}'" for module in module_paths if not module_available(module)]
if any(unavai... | 61 | 1,016 | 234 | 1,250 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,090 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/introspection.py | 43,44 | 24,56 | visit_ClassDef | LightningVisitor | 44,56 | 44,56 | class LightningVisitor(ast.NodeVisitor):
"""Base class for visitor that finds class definitions based on class inheritance. Derived classes are expected to
define class_name and implement the analyze_class_def method.
Attributes
----------
class_name: str
Name of class to identify, to be de... | class LightningVisitor(ast.NodeVisitor):
"""Base class for visitor that finds class definitions based on class inheritance. Derived classes are expected to
define class_name and implement the analyze_class_def method.
Attributes
----------
class_name: str
Name of class to identify, to be de... | bases = []
for base in node.bases:
if type(base) == ast.Attribute:
bases.append(base.attr)
elif type(base) == ast.Name:
bases.append(base.id)
if self.class_name in bases:
entry = {"name": node.name, "type": self.class_name}
... | bases = []
for base in node.bases:
if type(base) == ast.Attribute:
bases.append(base.attr)
elif type(base) == ast.Name:
bases.append(base.id)
if self.class_name in bases:
entry = {"name": node.name, "type": self.class_name}
... | 29 | 190 | 131 | 321 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,091 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/introspection.py | 319,320 | 277,376 | has_class | Scanner | 320,343 | 320,343 | class Scanner:
"""Finds relevant Lightning objects in files in the file system.
Attributes
----------
visitor_classes: List[Type]
List of visitor classes to use when traversing files.
Parameters
----------
path: str
Path to file, or directory where to look for files to scan.... | class Scanner:
"""Finds relevant Lightning objects in files in the file system.
Attributes
----------
visitor_classes: List[Type]
List of visitor classes to use when traversing files.
Parameters
----------
path: str
Path to file, or directory where to look for files to scan.... | # This method isn't strong enough as it is using only `ImportFrom`.
# TODO: Use proper classDef scanning.
classes = []
for path in self.paths:
try:
module = ast.parse(path.open().read())
except SyntaxError:
print(f"Error while pars... | # This method isn't strong enough as it is using only `ImportFrom`.
# TODO: Use proper classDef scanning.
classes = []
for path in self.paths:
try:
module = ast.parse(path.open().read())
except SyntaxError:
print(f"Error while pars... | 64 | 670 | 228 | 898 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,094 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/log.py | 20,21 | 1,24 | get_logfile | 21,24 | 21,24 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | log_dir = Path(_storage_root_dir(), "frontend")
log_dir.mkdir(parents=True, exist_ok=True)
return log_dir / filename
| log_dir = Path(_storage_root_dir(), "frontend")
log_dir.mkdir(parents=True, exist_ok=True)
return log_dir / filename
| 10 | 209 | 48 | 257 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,095 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/log_helpers.py | 41,42 | 1,50 | _error_callback | 42,50 | 42,50 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | errors = {
KeyError: "Malformed log message, missing key",
JSONDecodeError: "Malformed log message",
TypeError: "Malformed log format",
ValueError: "Malformed date format",
}
logger.error(f"⚡ Error while reading logs ({errors.get(type(error), 'Unknown')}), {error}")
ws_ap... | errors = {
KeyError: "Malformed log message, missing key",
JSONDecodeError: "Malformed log message",
TypeError: "Malformed log format",
ValueError: "Malformed date format",
}
logger.error(f"⚡ Error while reading logs ({errors.get(type(error), 'Unknown')}), {error}")
ws_ap... | 31 | 376 | 108 | 484 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,096 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/login.py | 57,58 | 49,151 | load | Auth | 65,74 | 58,74 | @dataclass
class Auth:
username: Optional[str] = None
user_id: Optional[str] = None
api_key: Optional[str] = None
secrets_file = pathlib.Path(LIGHTNING_CREDENTIAL_PATH)
def load(self) -> bool:
FILL_FUNC_BODY def save(self, token: str = "", user_id: str = "", api_key: str = "", username: str = "... | @dataclass
class Auth:
username: Optional[str] = None
user_id: Optional[str] = None
api_key: Optional[str] = None
secrets_file = pathlib.Path(LIGHTNING_CREDENTIAL_PATH)
def load(self) -> bool:
"""Load credentials from disk and update properties with credentials.
Returns
--... | if not self.secrets_file.exists():
logger.debug("Credentials file not found.")
return False
with self.secrets_file.open() as creds:
credentials = json.load(creds)
for key in Keys:
setattr(self, key.suffix, credentials.get(key.suffix, None))... | """Load credentials from disk and update properties with credentials.
Returns
----------
True if credentials are available.
"""
if not self.secrets_file.exists():
logger.debug("Credentials file not found.")
return False
with self.secrets_... | 26 | 910 | 103 | 1,013 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,097 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/login.py | 158,159 | 151,214 | login_with_browser | AuthServer | 159,214 | 159,214 | class AuthServer:
@staticmethod
def get_auth_url(port: int) -> str:
redirect_uri = f"http://localhost:{port}/login-complete"
params = urlencode({"redirectTo": redirect_uri})
return f"{get_lightning_cloud_url()}/sign-in?{params}"
def login_with_browser(self, auth: Auth) -> None:
FILL... | class AuthServer:
@staticmethod
def get_auth_url(port: int) -> str:
redirect_uri = f"http://localhost:{port}/login-complete"
params = urlencode({"redirectTo": redirect_uri})
return f"{get_lightning_cloud_url()}/sign-in?{params}"
def login_with_browser(self, auth: Auth) -> None:
FILL... | app = FastAPI()
port = find_free_network_port()
url = self.get_auth_url(port)
try:
# check if server is reachable or catch any network errors
requests.head(url)
except requests.ConnectionError as ex:
raise requests.ConnectionError(
... | app = FastAPI()
port = find_free_network_port()
url = self.get_auth_url(port)
try:
# check if server is reachable or catch any network errors
requests.head(url)
except requests.ConnectionError as ex:
raise requests.ConnectionError(
... | 221 | 115 | 746 | 861 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,098 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/login.py | 44,46 | 39,49 | suffix | Keys | 46,49 | 46,49 | class Keys(Enum):
USERNAME = "LIGHTNING_USERNAME"
USER_ID = "LIGHTNING_USER_ID"
API_KEY = "LIGHTNING_API_KEY"
@property
def suffix(self):
FILL_FUNC_BODY | class Keys(Enum):
USERNAME = "LIGHTNING_USERNAME"
USER_ID = "LIGHTNING_USER_ID"
API_KEY = "LIGHTNING_API_KEY"
@property
def suffix(self):
FILL_FUNC_BODY | return self.value.lstrip("LIGHTNING_").lower()
| return self.value.lstrip("LIGHTNING_").lower()
| 2 | 77 | 23 | 100 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,099 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/logs_socket_api.py | 24,26 | 23,95 | _app_logs_socket_url | _LightningLogsSocketAPI | 26,31 | 26,31 | class _LightningLogsSocketAPI(_AuthTokenGetter):
@staticmethod
def _app_logs_socket_url(host: str, project_id: str, app_id: str, token: str, component: str) -> str:
FILL_FUNC_BODY def create_lightning_logs_socket(
self,
project_id: str,
app_id: str,
component: str,
on_... | class _LightningLogsSocketAPI(_AuthTokenGetter):
@staticmethod
def _app_logs_socket_url(host: str, project_id: str, app_id: str, token: str, component: str) -> str:
FILL_FUNC_BODY def create_lightning_logs_socket(
self,
project_id: str,
app_id: str,
component: str,
on_... | return (
f"wss://{host}/v1/projects/{project_id}/appinstances/{app_id}/logs?"
f"token={token}&component={component}&follow=true"
)
| return (
f"wss://{host}/v1/projects/{project_id}/appinstances/{app_id}/logs?"
f"token={token}&component={component}&follow=true"
)
| 5 | 707 | 62 | 769 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,101 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/openapi.py | 19,20 | 1,76 | _duplicate_checker | 21,31 | 20,31 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | result = {}
for name, value in js:
if name in result:
raise ValueError(
f"Unable to load JSON. A duplicate key {name} was detected. JSON objects must have unique keys."
)
result[name] = value
return result
| """_duplicate_checker verifies that your JSON object doesn't contain duplicate keys."""
result = {}
for name, value in js:
if name in result:
raise ValueError(
f"Unable to load JSON. A duplicate key {name} was detected. JSON objects must have unique keys."
)
... | 36 | 686 | 80 | 766 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,102 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/packaging/app_config.py | 65,66 | 1,77 | _get_config_file | 72,77 | 66,77 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | source_path = pathlib.Path(source_path).absolute()
if source_path.is_file():
source_path = source_path.parent
return pathlib.Path(source_path / _APP_CONFIG_FILENAME)
| """Get the Lightning app config file '.lightning' at the given source path.
Args:
source_path: A path to a folder or a file.
"""
source_path = pathlib.Path(source_path).absolute()
if source_path.is_file():
source_path = source_path.parent
return pathlib.Path(source_path / _APP... | 12 | 705 | 66 | 771 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,103 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/packaging/app_config.py | 47,49 | 26,65 | load_from_file | AppConfig | 50,54 | 49,54 | @dataclass
class AppConfig:
"""The AppConfig holds configuration metadata for the application.
Args:
name: Optional name of the application. If not provided, auto-generates a new name.
"""
name: str = field(default_factory=get_unique_name)
def save_to_file(self, path: Union[str, pathlib.... | @dataclass
class AppConfig:
"""The AppConfig holds configuration metadata for the application.
Args:
name: Optional name of the application. If not provided, auto-generates a new name.
"""
name: str = field(default_factory=get_unique_name)
def save_to_file(self, path: Union[str, pathlib.... | with open(path) as file:
config = yaml.safe_load(file)
return cls(**config)
| """Load the configuration from the given file."""
with open(path) as file:
config = yaml.safe_load(file)
return cls(**config)
| 9 | 381 | 37 | 418 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,105 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/packaging/build_config.py | 147,148 | 67,202 | _find_requirements | BuildConfig | 148,160 | 148,160 | @dataclass
class BuildConfig:
"""The Build Configuration describes how the environment a LightningWork runs in should be set up.
Arguments:
requirements: List of requirements or list of paths to requirement files. If not passed, they will be
automatically extracted from a `requirements.txt`... | @dataclass
class BuildConfig:
"""The Build Configuration describes how the environment a LightningWork runs in should be set up.
Arguments:
requirements: List of requirements or list of paths to requirement files. If not passed, they will be
automatically extracted from a `requirements.txt`... | # 1. Get work file
file = _get_work_file(work)
if file is None:
return []
# 2. Try to find a requirement file associated the file.
dirname = os.path.dirname(file)
try:
requirements = load_requirements(dirname, filename)
except NotADirectory... | # 1. Get work file
file = _get_work_file(work)
if file is None:
return []
# 2. Try to find a requirement file associated the file.
dirname = os.path.dirname(file)
try:
requirements = load_requirements(dirname, filename)
except NotADirectory... | 47 | 1,362 | 124 | 1,486 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,107 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/packaging/cloud_compute.py | 142,144 | 63,178 | from_dict | CloudCompute | 144,162 | 144,162 | @dataclass
class CloudCompute:
"""Configure the cloud runtime for a lightning work or flow.
Arguments:
name: The name of the hardware to use. A full list of supported options can be found in
:doc:`/core_api/lightning_work/compute`. If you have a request for more hardware options, please con... | @dataclass
class CloudCompute:
"""Configure the cloud runtime for a lightning work or flow.
Arguments:
name: The name of the hardware to use. A full list of supported options can be found in
:doc:`/core_api/lightning_work/compute`. If you have a request for more hardware options, please con... | assert d.pop("type") == __CLOUD_COMPUTE_IDENTIFIER__
mounts = d.pop("mounts", None)
if mounts is None:
pass
elif isinstance(mounts, dict):
d["mounts"] = Mount(**mounts)
elif isinstance(mounts, (list)):
d["mounts"] = []
for mount in ... | assert d.pop("type") == __CLOUD_COMPUTE_IDENTIFIER__
mounts = d.pop("mounts", None)
if mounts is None:
pass
elif isinstance(mounts, dict):
d["mounts"] = Mount(**mounts)
elif isinstance(mounts, (list)):
d["mounts"] = []
for mount in ... | 52 | 1,185 | 221 | 1,406 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,108 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/packaging/cloud_compute.py | 50,51 | 25,60 | remove | _CloudComputeStore | 51,60 | 51,60 | @dataclass
class _CloudComputeStore:
id: str
component_names: List[str]
def add_component_name(self, new_component_name: str) -> None:
found_index = None
# When the work is being named by the flow, pop its previous names
for index, component_name in enumerate(self.component_names):
... | @dataclass
class _CloudComputeStore:
id: str
component_names: List[str]
def add_component_name(self, new_component_name: str) -> None:
found_index = None
# When the work is being named by the flow, pop its previous names
for index, component_name in enumerate(self.component_names):
... | found_index = None
for index, component_name in enumerate(self.component_names):
if new_component_name == component_name:
found_index = index
if found_index is not None:
del self.component_names[found_index]
| found_index = None
for index, component_name in enumerate(self.component_names):
if new_component_name == component_name:
found_index = index
if found_index is not None:
del self.component_names[found_index]
| 22 | 300 | 80 | 380 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,109 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/packaging/tarfile.py | 42,43 | 1,53 | extract_tarfile | 44,53 | 43,53 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if not os.path.exists(file_path):
return
with tarfile.open(file_path, mode=mode) as tar_ref:
for member in tar_ref.getmembers():
try:
tar_ref.extract(member, path=extract_path, set_attrs=False)
except PermissionError:
raise PermissionError... | """This utility extracts all files from a tarfile."""
if not os.path.exists(file_path):
return
with tarfile.open(file_path, mode=mode) as tar_ref:
for member in tar_ref.getmembers():
try:
tar_ref.extract(member, path=extract_path, set_attrs=False)
exc... | 26 | 413 | 116 | 529 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,110 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/port.py | 83,84 | 1,169 | enable_port | 85,126 | 84,126 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | app_id = os.getenv("LIGHTNING_CLOUD_APP_ID", None)
project_id = os.getenv("LIGHTNING_CLOUD_PROJECT_ID", None)
if not app_id or not project_id:
raise Exception("The app_id and project_id should be defined.")
client = LightningClient()
list_apps_resp = client.lightningapp_instance_service_li... | """Make a request to the cloud controlplane to open a port of the flow."""
app_id = os.getenv("LIGHTNING_CLOUD_APP_ID", None)
project_id = os.getenv("LIGHTNING_CLOUD_PROJECT_ID", None)
if not app_id or not project_id:
raise Exception("The app_id and project_id should be defined.")
client =... | 101 | 1,437 | 450 | 1,887 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,112 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/proxies.py | 189,190 | 112,225 | sanitize | ProxyWorkRun | 190,200 | 190,200 | @dataclass
class ProxyWorkRun:
work_run: Callable
work_name: str # TODO: remove this argument and get the name from work.name directly
work: "LightningWork"
caller_queue: "BaseQueue"
def __post_init__(self):
self.work_state = None
def __call__(self, *args: Any, **kwargs: Any):
... | @dataclass
class ProxyWorkRun:
work_run: Callable
work_name: str # TODO: remove this argument and get the name from work.name directly
work: "LightningWork"
caller_queue: "BaseQueue"
def __post_init__(self):
self.work_state = None
def __call__(self, *args: Any, **kwargs: Any):
... | if isinstance(obj, Path):
# create a copy of the Path and erase the consumer
# the LightningWork on the receiving end of the caller queue will become the new consumer
# this is necessary to make the Path deepdiff-hashable
path_copy = Path(obj)
... | if isinstance(obj, Path):
# create a copy of the Path and erase the consumer
# the LightningWork on the receiving end of the caller queue will become the new consumer
# this is necessary to make the Path deepdiff-hashable
path_copy = Path(obj)
... | 50 | 1,326 | 117 | 1,443 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,113 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/proxies.py | 366,368 | 356,390 | enable_spawn | WorkRunExecutor | 368,373 | 368,373 | @dataclass
class WorkRunExecutor:
work: "LightningWork"
work_run: Callable
delta_queue: "BaseQueue"
enable_start_observer: bool = True
def __call__(self, *args, **kwargs):
return self.work_run(*args, **kwargs)
@contextmanager
def enable_spawn(self) -> Generator:
FILL_FUNC_BODY d... | @dataclass
class WorkRunExecutor:
work: "LightningWork"
work_run: Callable
delta_queue: "BaseQueue"
enable_start_observer: bool = True
def __call__(self, *args, **kwargs):
return self.work_run(*args, **kwargs)
@contextmanager
def enable_spawn(self) -> Generator:
FILL_FUNC_BODY d... | self.work._setattr_replacement = None
self.work._backend = None
self._clean_queues()
yield
| self.work._setattr_replacement = None
self.work._backend = None
self._clean_queues()
yield
| 8 | 282 | 41 | 323 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,115 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/proxies.py | 280,281 | 225,313 | run_once | WorkStateObserver | 281,308 | 281,308 | class WorkStateObserver(Thread):
"""This thread runs alongside LightningWork and periodically checks for state changes. If the state changed from
one interval to the next, it will compute the delta and add it to the queue which is connected to the Flow. This
enables state changes to be captured that are not... | class WorkStateObserver(Thread):
"""This thread runs alongside LightningWork and periodically checks for state changes. If the state changed from
one interval to the next, it will compute the delta and add it to the queue which is connected to the Flow. This
enables state changes to be captured that are not... | with _state_observer_lock:
# Add all deltas the LightningWorkSetAttrProxy has processed and sent to the Flow already while
# the WorkStateObserver was sleeping
for delta in self._delta_memory:
self._last_state += delta
self._delta_memory.clear()
... | with _state_observer_lock:
# Add all deltas the LightningWorkSetAttrProxy has processed and sent to the Flow already while
# the WorkStateObserver was sleeping
for delta in self._delta_memory:
self._last_state += delta
self._delta_memory.clear()
... | 88 | 582 | 354 | 936 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,116 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/safe_pickle.py | 29,31 | 1,108 | _trimmed_work | 32,41 | 31,41 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | holder = {}
for arg in to_trim:
holder[arg] = getattr(work, arg)
setattr(work, arg, None)
yield
for arg in to_trim:
setattr(work, arg, holder[arg])
| """Context manager to trim the work object to remove attributes that are not picklable."""
holder = {}
for arg in to_trim:
holder[arg] = getattr(work, arg)
setattr(work, arg, None)
yield
for arg in to_trim:
setattr(work, arg, holder[arg])
| 22 | 1,275 | 75 | 1,350 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,117 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/scheduler.py | 39,40 | 25,61 | run_once | SchedulerThread | 40,58 | 40,58 | class SchedulerThread(threading.Thread):
# TODO (tchaton) Abstract this logic to a generic scheduling service.
def __init__(self, app) -> None:
super().__init__(daemon=True)
self._exit_event = threading.Event()
self._sleep_time = 1.0
self._app = app
def run(self) -> None:
... | class SchedulerThread(threading.Thread):
# TODO (tchaton) Abstract this logic to a generic scheduling service.
def __init__(self, app) -> None:
super().__init__(daemon=True)
self._exit_event = threading.Event()
self._sleep_time = 1.0
self._app = app
def run(self) -> None:
... | for call_hash in list(self._app._schedules.keys()):
metadata = self._app._schedules[call_hash]
start_time = datetime.fromisoformat(metadata["start_time"])
current_date = datetime.now()
next_event = croniter(metadata["cron_pattern"], start_time).get_next(datetime)
... | for call_hash in list(self._app._schedules.keys()):
metadata = self._app._schedules[call_hash]
start_time = datetime.fromisoformat(metadata["start_time"])
current_date = datetime.now()
next_event = croniter(metadata["cron_pattern"], start_time).get_next(datetime)
... | 50 | 195 | 236 | 431 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,118 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/secrets.py | 21,22 | 1,42 | _names_to_ids | 27,42 | 22,42 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | lightning_client = LightningClient()
project = _get_project(lightning_client)
secrets = lightning_client.secret_service_list_secrets(project_id=project.project_id)
secret_names_to_ids: Dict[str, str] = {}
for secret in secrets.secrets:
if secret.name in secret_names:
secret_nam... | """Returns the name/ID pair for each given Secret name.
Raises a `ValueError` if any of the given Secret names do not exist.
"""
lightning_client = LightningClient()
project = _get_project(lightning_client)
secrets = lightning_client.secret_service_list_secrets(project_id=project.project_id)
... | 43 | 271 | 187 | 458 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,119 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/tracer.py | 29,30 | 1,194 | wrap_fn | 31,93 | 30,93 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | class_name = cls.__qualname__
@functools.wraps(fn)
def fn_with_tracing(self, *args: Any, **kwargs: Any):
if class_name not in trace:
trace[class_name] = {}
self_id = id(self)
stack = inspect.stack()
frame = stack[stack_level]
frame_id = id(frame)
... | """Wrap a function so that its execution can be traced and its args and return values modified."""
class_name = cls.__qualname__
@functools.wraps(fn)
def fn_with_tracing(self, *args: Any, **kwargs: Any):
if class_name not in trace:
trace[class_name] = {}
self_id = id(self)
... | 216 | 1,276 | 693 | 1,969 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,120 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/tracer.py | 164,165 | 93,194 | trace | Tracer | 170,194 | 165,194 | class Tracer:
def __init__(self):
self.methods = []
self.orig = {}
self.res = {}
def add_traced(self, cls, method_name, stack_level=1, pre_fn=None, post_fn=None):
"""Record the fact that we will want to trace method_name in class cls.
Optionally provide two functions th... | class Tracer:
def __init__(self):
self.methods = []
self.orig = {}
self.res = {}
def add_traced(self, cls, method_name, stack_level=1, pre_fn=None, post_fn=None):
"""Record the fact that we will want to trace method_name in class cls.
Optionally provide two functions th... | args = list(args)
script = args[0]
script_dir = Path(script).parent.absolute()
sys_path = sys.path[:]
sys_argv = sys.argv[:]
sys.path.append(str(script_dir))
sys.argv = args
self._instrument()
res = runpy.run_path(script, run_name="__main__", ... | """Execute the command-line arguments in args after instrumenting for tracing.
Restore the classes to their initial state after tracing.
"""
args = list(args)
script = args[0]
script_dir = Path(script).parent.absolute()
sys_path = sys.path[:]
sys_argv =... | 40 | 788 | 207 | 995 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,121 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/app/utilities/tree.py | 24,25 | 1,89 | breadth_first | 32,35 | 25,35 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | yield from _BreadthFirstVisitor(root, types)
| """Returns a generator that walks through the tree of components breadth-first.
Arguments:
root: The root component of the tree
types: If provided, only the component types in this list will be visited.
"""
yield from _BreadthFirstVisitor(root, types)
| 4 | 794 | 21 | 815 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,122 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/_graveyard/tpu.py | 109,110 | 1,124 | _patch_classes | 110,120 | 110,120 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | setattr(fabric.strategies, "SingleTPUStrategy", SingleTPUStrategy)
setattr(fabric.accelerators, "TPUAccelerator", TPUAccelerator)
setattr(fabric.plugins, "TPUPrecision", TPUPrecision)
setattr(fabric.plugins.precision, "TPUPrecision", TPUPrecision)
setattr(fabric.plugins, "TPUBf16Precision", TPUBf16P... | setattr(fabric.strategies, "SingleTPUStrategy", SingleTPUStrategy)
setattr(fabric.accelerators, "TPUAccelerator", TPUAccelerator)
setattr(fabric.plugins, "TPUPrecision", TPUPrecision)
setattr(fabric.plugins.precision, "TPUPrecision", TPUPrecision)
setattr(fabric.plugins, "TPUBf16Precision", TPUBf16P... | 24 | 1,290 | 232 | 1,522 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,123 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/_graveyard/tpu.py | 45,47 | 34,51 | register_strategies | SingleTPUStrategy | 47,51 | 47,51 | class SingleTPUStrategy(SingleDeviceXLAStrategy):
"""Legacy class.
Use :class:`~lightning.fabric.strategies.single_xla.SingleDeviceXLAStrategy` instead.
"""
def __init__(self, *args: Any, **kwargs: Any) -> None:
rank_zero_deprecation("The 'single_tpu' strategy is deprecated. Use 'single_xla' ... | class SingleTPUStrategy(SingleDeviceXLAStrategy):
"""Legacy class.
Use :class:`~lightning.fabric.strategies.single_xla.SingleDeviceXLAStrategy` instead.
"""
def __init__(self, *args: Any, **kwargs: Any) -> None:
rank_zero_deprecation("The 'single_tpu' strategy is deprecated. Use 'single_xla' ... | if "single_tpu" not in strategy_registry:
strategy_registry.register("single_tpu", cls, description="Legacy class. Use `single_xla` instead.")
| if "single_tpu" not in strategy_registry:
strategy_registry.register("single_tpu", cls, description="Legacy class. Use `single_xla` instead.")
| 12 | 168 | 55 | 223 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,124 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/cpu.py | 75,76 | 1,97 | _parse_cpu_cores | 90,97 | 76,97 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | if isinstance(cpu_cores, str) and cpu_cores.strip().isdigit():
cpu_cores = int(cpu_cores)
if not isinstance(cpu_cores, int) or cpu_cores <= 0:
raise TypeError("`devices` selected with `CPUAccelerator` should be an int > 0.")
return cpu_cores
| """Parses the cpu_cores given in the format as accepted by the ``devices`` argument in the
:class:`~lightning.pytorch.trainer.trainer.Trainer`.
Args:
cpu_cores: An int > 0.
Returns:
An int representing the number of processes
Raises:
MisconfigurationException:
... | 29 | 784 | 105 | 889 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,125 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/cpu.py | 26,28 | 23,75 | setup_device | CPUAccelerator | 33,36 | 28,36 | class CPUAccelerator(Accelerator):
"""Accelerator for CPU devices."""
@override
def setup_device(self, device: torch.device) -> None:
FILL_FUNC_BODY @override
def teardown(self) -> None:
pass
@staticmethod
@override
def parse_devices(devices: Union[int, str, List[int]]) -> int:
... | class CPUAccelerator(Accelerator):
"""Accelerator for CPU devices."""
@override
def setup_device(self, device: torch.device) -> None:
"""
Raises:
ValueError:
If the selected device is not CPU.
"""
FILL_FUNC_BODY @override
def teardown(self) -> None... | if device.type != "cpu":
raise ValueError(f"Device should be CPU, got {device} instead.")
| """
Raises:
ValueError:
If the selected device is not CPU.
"""
if device.type != "cpu":
raise ValueError(f"Device should be CPU, got {device} instead.")
| 12 | 394 | 34 | 428 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,127 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/cuda.py | 58,61 | 25,79 | auto_device_count | CUDAAccelerator | 62,64 | 61,64 | class CUDAAccelerator(Accelerator):
"""Accelerator for NVIDIA CUDA devices."""
@override
def setup_device(self, device: torch.device) -> None:
"""
Raises:
ValueError:
If the selected device is not of type CUDA.
"""
if device.type != "cuda":
... | class CUDAAccelerator(Accelerator):
"""Accelerator for NVIDIA CUDA devices."""
@override
def setup_device(self, device: torch.device) -> None:
"""
Raises:
ValueError:
If the selected device is not of type CUDA.
"""
if device.type != "cuda":
... | return num_cuda_devices()
| """Get the devices when set to auto."""
return num_cuda_devices()
| 2 | 483 | 13 | 496 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,128 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/mps.py | 87,88 | 1,93 | _get_all_available_mps_gpus | 92,93 | 88,93 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | return [0] if MPSAccelerator.is_available() else []
| """
Returns:
A list of all available MPS GPUs
"""
return [0] if MPSAccelerator.is_available() else []
| 6 | 872 | 20 | 892 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,129 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/mps.py | 69,73 | 26,87 | is_available | MPSAccelerator | 74,77 | 73,77 | class MPSAccelerator(Accelerator):
"""Accelerator for Metal Apple Silicon GPU devices.
.. warning:: Use of this accelerator beyond import and instantiation is experimental.
"""
@override
def setup_device(self, device: torch.device) -> None:
"""
Raises:
ValueError:
... | class MPSAccelerator(Accelerator):
"""Accelerator for Metal Apple Silicon GPU devices.
.. warning:: Use of this accelerator beyond import and instantiation is experimental.
"""
@override
def setup_device(self, device: torch.device) -> None:
"""
Raises:
ValueError:
... | mps_disabled = os.getenv("DISABLE_MPS", "0") == "1"
return not mps_disabled and torch.backends.mps.is_available() and platform.processor() in ("arm", "arm64")
| """MPS is only available on a machine with the ARM-based Apple Silicon processors."""
mps_disabled = os.getenv("DISABLE_MPS", "0") == "1"
return not mps_disabled and torch.backends.mps.is_available() and platform.processor() in ("arm", "arm64")
| 16 | 536 | 65 | 601 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,130 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/registry.py | 118,119 | 1,130 | call_register_accelerators | 124,130 | 119,130 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | import importlib
module = importlib.import_module(base_module)
from lightning.fabric.accelerators.accelerator import Accelerator
_register_classes(registry, "register_accelerators", module, Accelerator)
| """Legacy.
Do not use.
"""
import importlib
module = importlib.import_module(base_module)
from lightning.fabric.accelerators.accelerator import Accelerator
_register_classes(registry, "register_accelerators", module, Accelerator)
| 13 | 1,165 | 73 | 1,238 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,131 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/accelerators/registry.py | 87,89 | 22,118 | get | _AcceleratorRegistry | 95,106 | 89,106 | class _AcceleratorRegistry(dict):
"""This class is a Registry that stores information about the Accelerators.
The Accelerators are mapped to strings. These strings are names that identify
an accelerator, e.g., "gpu". It also returns Optional description and
parameters to initialize the Accelerator, whi... | class _AcceleratorRegistry(dict):
"""This class is a Registry that stores information about the Accelerators.
The Accelerators are mapped to strings. These strings are names that identify
an accelerator, e.g., "gpu". It also returns Optional description and
parameters to initialize the Accelerator, whi... | if name in self:
data = self[name]
return data["accelerator"](**data["init_params"])
if default is not None:
return default
err_msg = "'{}' not found in registry. Available names: {}"
available_names = self.available_accelerators()
raise KeyE... | """Calls the registered accelerator with the required parameters and returns the accelerator object.
Args:
name (str): the name that identifies a accelerator, e.g. "gpu"
"""
if name in self:
data = self[name]
return data["accelerator"](**data["init_p... | 32 | 797 | 112 | 909 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,135 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/loggers/csv_logs.py | 109,112 | 33,193 | log_dir | CSVLogger | 118,122 | 112,122 | class CSVLogger(Logger):
r"""Log to the local file system in CSV format.
Logs are saved to ``os.path.join(root_dir, name, version)``.
Args:
root_dir: The root directory in which all your experiments with different names and versions will be stored.
name: Experiment name. Defaults to ``'lig... | class CSVLogger(Logger):
r"""Log to the local file system in CSV format.
Logs are saved to ``os.path.join(root_dir, name, version)``.
Args:
root_dir: The root directory in which all your experiments with different names and versions will be stored.
name: Experiment name. Defaults to ``'lig... | # create a pseudo standard path
version = self.version if isinstance(self.version, str) else f"version_{self.version}"
return os.path.join(self._root_dir, self.name, version)
| """The log directory for this run.
By default, it is named ``'version_${self.version}'`` but it can be overridden by passing a string value for the
constructor's version parameter instead of ``None`` or an int.
"""
# create a pseudo standard path
version = self.version ... | 18 | 1,541 | 60 | 1,601 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,136 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/loggers/csv_logs.py | 229,230 | 193,275 | save | _ExperimentWriter | 231,250 | 230,250 | class _ExperimentWriter:
r"""Experiment writer for CSVLogger.
Args:
log_dir: Directory for the experiment logs
"""
NAME_METRICS_FILE = "metrics.csv"
def __init__(self, log_dir: str) -> None:
self.metrics: List[Dict[str, float]] = []
self.metrics_keys: List[str] = []
... | class _ExperimentWriter:
r"""Experiment writer for CSVLogger.
Args:
log_dir: Directory for the experiment logs
"""
NAME_METRICS_FILE = "metrics.csv"
def __init__(self, log_dir: str) -> None:
self.metrics: List[Dict[str, float]] = []
self.metrics_keys: List[str] = []
... | if not self.metrics:
return
new_keys = self._record_new_keys()
file_exists = self._fs.isfile(self.metrics_file_path)
if new_keys and file_exists:
# we need to re-write the file if the keys (header) change
self._rewrite_with_new_header(self.metrics_ke... | """Save recorded metrics into files."""
if not self.metrics:
return
new_keys = self._record_new_keys()
file_exists = self._fs.isfile(self.metrics_file_path)
if new_keys and file_exists:
# we need to re-write the file if the keys (header) change
... | 62 | 760 | 236 | 996 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,137 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/loggers/logger.py | 102,103 | 1,138 | rank_zero_experiment | 104,123 | 103,123 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
@wraps(fn)
def experiment(self: Logger) -> Union[Any, _DummyExperiment]:
"""
Note:
``self`` is a custom logger instance. The loggers typically wrap an ``experiment`` method
with a ``@rank_zero_experiment`` decorator.
``Union[Any, _DummyExperiment]`` is used ... | """Returns the real experiment on rank 0 and otherwise the _DummyExperiment."""
@wraps(fn)
def experiment(self: Logger) -> Union[Any, _DummyExperiment]:
"""
Note:
``self`` is a custom logger instance. The loggers typically wrap an ``experiment`` method
with a ``@rank... | 69 | 1,055 | 201 | 1,256 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | |
1,138 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/loggers/logger.py | 52,54 | 27,102 | group_separator | Logger | 55,57 | 54,57 | class Logger(ABC):
"""Base class for experiment loggers."""
@property
@abstractmethod
def name(self) -> Optional[str]:
"""Return the experiment name."""
@property
@abstractmethod
def version(self) -> Optional[Union[int, str]]:
"""Return the experiment version."""
@prop... | class Logger(ABC):
"""Base class for experiment loggers."""
@property
@abstractmethod
def name(self) -> Optional[str]:
"""Return the experiment name."""
@property
@abstractmethod
def version(self) -> Optional[Union[int, str]]:
"""Return the experiment version."""
@prop... | return "/"
| """Return the default separator used by the logger to group the data into subfolders."""
return "/"
| 2 | 630 | 8 | 638 | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | # Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
1,139 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/plugins/collectives/collective.py | 64,65 | 10,120 | send | Collective | 65,66 | 65,66 | class Collective(ABC):
"""Interface for collective operations.
Supports communications between multiple processes and multiple nodes. A collective owns a group.
.. warning:: This is an :ref:`experimental <versioning:Experimental API>` feature which is still in development.
"""
def __init__(self)... | class Collective(ABC):
"""Interface for collective operations.
Supports communications between multiple processes and multiple nodes. A collective owns a group.
.. warning:: This is an :ref:`experimental <versioning:Experimental API>` feature which is still in development.
"""
def __init__(self)... | def send(self, tensor: Tensor, dst: int, tag: int = 0) -> None: ...
| def send(self, tensor: Tensor, dst: int, tag: int = 0) -> None: ...
| 13 | 1,052 | 29 | 1,081 | from abc import ABC, abstractmethod
from typing import Any, List, Optional
from torch import Tensor
from typing_extensions import Self
from lightning.fabric.utilities.types import CollectibleGroup
class Collective(ABC):
"""Interface for collective operations.
Supports communications between multiple proces... | from abc import ABC, abstractmethod
from typing import Any, List, Optional
from torch import Tensor
from typing_extensions import Self
from lightning.fabric.utilities.types import CollectibleGroup
class Collective(ABC):
"""Interface for collective operations.
Supports communications between multiple proces... |
1,140 | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning | /home/hieuvd/dung_repo/raw/stars_01/Lightning-AI_pytorch-lightning/pytorch-lightning/src/lightning/fabric/plugins/collectives/single_device.py | 79,82 | 10,108 | is_available | SingleDeviceCollective | 82,84 | 82,84 | class SingleDeviceCollective(Collective):
"""Support for collective operations on a single device (no-op).
.. warning:: This is an :ref:`experimental <versioning:Experimental API>` feature which is still in development.
"""
@property
@override
def rank(self) -> int:
return 0
@pro... | class SingleDeviceCollective(Collective):
"""Support for collective operations on a single device (no-op).
.. warning:: This is an :ref:`experimental <versioning:Experimental API>` feature which is still in development.
"""
@property
@override
def rank(self) -> int:
return 0
@pro... | return True # vacuous truth
| return True # vacuous truth
| 5 | 806 | 12 | 818 | from typing import Any, List
from torch import Tensor
from typing_extensions import override
from lightning.fabric.plugins.collectives.collective import Collective
from lightning.fabric.utilities.types import CollectibleGroup
class SingleDeviceCollective(Collective):
"""Support for collective operations on a si... | from typing import Any, List
from torch import Tensor
from typing_extensions import override
from lightning.fabric.plugins.collectives.collective import Collective
from lightning.fabric.utilities.types import CollectibleGroup
class SingleDeviceCollective(Collective):
"""Support for collective operations on a si... |
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