id int64 1 6.07M | name stringlengths 1 295 | code stringlengths 12 426k | language stringclasses 1
value | source_file stringlengths 5 202 | start_line int64 1 158k | end_line int64 1 158k | repo dict |
|---|---|---|---|---|---|---|---|
2,401 | begin | def begin(self):
if wandb.run is None:
raise wandb.Error("You must call `wandb.init()` before calling `WandbHook`")
if self._summary_op is None:
self._summary_op = merge_all_summaries()
self._step = -1 | python | wandb/integration/tensorflow/estimator_hook.py | 35 | 40 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,402 | before_run | def before_run(self, run_context):
return SessionRunArgs(
{"summary": self._summary_op, "global_step": get_global_step()}
) | python | wandb/integration/tensorflow/estimator_hook.py | 42 | 45 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,403 | after_run | def after_run(self, run_context, run_values):
step = run_values.results["global_step"]
if step % self._steps_per_log == 0:
wandb.tensorboard._log(
run_values.results["summary"],
history=self._history,
step=step,
) | python | wandb/integration/tensorflow/estimator_hook.py | 47 | 54 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,404 | make_ndarray | def make_ndarray(tensor: Any) -> Optional["np.ndarray"]:
if tensor_util:
res = tensor_util.make_ndarray(tensor)
# Tensorboard can log generic objects, and we don't want to save them
if res.dtype == "object":
return None
else:
return res
else:
wandb... | python | wandb/integration/tensorboard/log.py | 38 | 51 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,405 | namespaced_tag | def namespaced_tag(tag: str, namespace: str = "") -> str:
if not namespace:
return tag
elif tag in namespace:
# This happens with tensorboardX
return namespace
else:
return namespace + "/" + tag | python | wandb/integration/tensorboard/log.py | 54 | 61 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,406 | history_image_key | def history_image_key(key: str, namespace: str = "") -> str:
"""Convert invalid filesystem characters to _ for use in History keys.
Unfortunately this means currently certain image keys will collide silently. We
implement this mapping up here in the TensorFlow stuff rather than in the History
stuff so ... | python | wandb/integration/tensorboard/log.py | 64 | 72 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,407 | tf_summary_to_dict | def tf_summary_to_dict( # noqa: C901
tf_summary_str_or_pb: Any, namespace: str = ""
) -> Optional[Dict[str, Any]]:
"""Convert a Tensorboard Summary to a dictionary.
Accepts a tensorflow.summary.Summary, one encoded as a string,
or a list of such encoded as strings.
"""
values = {}
if hasat... | python | wandb/integration/tensorboard/log.py | 75 | 271 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,408 | encode_images | def encode_images(_img_strs: List[bytes], _value: Any) -> None:
try:
from PIL import Image
except ImportError:
wandb.termwarn(
"Install pillow if you are logging images with Tensorboard. "
"To install, run `pip install pillow`.",
re... | python | wandb/integration/tensorboard/log.py | 105 | 133 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,409 | reset_state | def reset_state() -> None:
"""Internal method for resetting state, called by wandb.finish()."""
global STEPS
STEPS = {"": {"step": 0}, "global": {"step": 0, "last_log": None}} | python | wandb/integration/tensorboard/log.py | 274 | 277 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,410 | _log | def _log(
tf_summary_str_or_pb: Any,
history: Optional["TBHistory"] = None,
step: int = 0,
namespace: str = "",
**kwargs: Any,
) -> None:
"""Logs a tfsummary to wandb.
Can accept a tf summary string or parsed event. Will use wandb.run.history unless a
history object is passed. Can opt... | python | wandb/integration/tensorboard/log.py | 280 | 346 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,411 | log | def log(tf_summary_str_or_pb: Any, step: int = 0, namespace: str = "") -> None:
if wandb.run is None:
raise wandb.Error(
"You must call `wandb.init()` before calling `wandb.tensorflow.log`"
)
with telemetry.context() as tel:
tel.feature.tensorboard_log = True
_log(tf_su... | python | wandb/integration/tensorboard/log.py | 349 | 358 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,412 | unpatch | def unpatch() -> None:
for module, method in wandb.patched["tensorboard"]:
writer = wandb.util.get_module(module, lazy=False)
setattr(writer, method, getattr(writer, f"orig_{method}"))
wandb.patched["tensorboard"] = [] | python | wandb/integration/tensorboard/monkeypatch.py | 18 | 22 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,413 | patch | def patch(
save: bool = True,
tensorboard_x: Optional[bool] = None,
pytorch: Optional[bool] = None,
root_logdir: str = "",
) -> None:
if len(wandb.patched["tensorboard"]) > 0:
raise ValueError(
"Tensorboard already patched, remove `sync_tensorboard=True` "
"from `wand... | python | wandb/integration/tensorboard/monkeypatch.py | 25 | 85 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,414 | _patch_tensorflow2 | def _patch_tensorflow2(
writer: Any,
module: Any,
save: bool = True,
root_logdir: str = "",
) -> None:
# This configures TensorFlow 2 style Tensorboard logging
old_csfw_func = writer.create_summary_file_writer
logdir_hist = []
def new_csfw_func(*args: Any, **kwargs: Any) -> Any:
... | python | wandb/integration/tensorboard/monkeypatch.py | 88 | 133 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,415 | new_csfw_func | def new_csfw_func(*args: Any, **kwargs: Any) -> Any:
logdir = (
kwargs["logdir"].numpy().decode("utf8")
if hasattr(kwargs["logdir"], "numpy")
else kwargs["logdir"]
)
logdir_hist.append(logdir)
root_logdir_arg = root_logdir
if len(set(logdir_hi... | python | wandb/integration/tensorboard/monkeypatch.py | 98 | 129 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,416 | _patch_file_writer | def _patch_file_writer(
writer: Any,
module: Any,
save: bool = True,
root_logdir: str = "",
) -> None:
# This configures non-TensorFlow Tensorboard logging, or tensorflow <= 1.15
logdir_hist = []
class TBXEventFileWriter(writer.EventFileWriter):
def __init__(self, logdir: str, *args... | python | wandb/integration/tensorboard/monkeypatch.py | 136 | 178 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,417 | __init__ | def __init__(self, logdir: str, *args: Any, **kwargs: Any) -> None:
logdir_hist.append(logdir)
root_logdir_arg = root_logdir
if len(set(logdir_hist)) > 1 and root_logdir == "":
wandb.termwarn(
"When using several event log directories, "
... | python | wandb/integration/tensorboard/monkeypatch.py | 146 | 174 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,418 | _notify_tensorboard_logdir | def _notify_tensorboard_logdir(
logdir: str, save: bool = True, root_logdir: str = ""
) -> None:
if wandb.run is not None:
wandb.run._tensorboard_callback(logdir, save=save, root_logdir=root_logdir) | python | wandb/integration/tensorboard/monkeypatch.py | 181 | 185 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,419 | monitor | def monitor():
"""Monitor a gym environment.
Supports both gym and gymnasium.
"""
gym_lib: Optional[GymLib] = None
# gym is not maintained anymore, gymnasium is the drop-in replacement - prefer it
if wandb.util.get_module("gymnasium") is not None:
gym_lib = "gymnasium"
elif wandb.u... | python | wandb/integration/gym/__init__.py | 22 | 84 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,420 | close | def close(self):
recorder.orig_close(self)
m = re.match(r".+(video\.\d+).+", getattr(self, path))
if m:
key = m.group(1)
else:
key = "videos"
wandb.log({key: wandb.Video(getattr(self, path))}) | python | wandb/integration/gym/__init__.py | 64 | 71 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,421 | del_ | def del_(self):
self.orig_close() | python | wandb/integration/gym/__init__.py | 73 | 74 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,422 | named_entity | def named_entity(docs):
"""Create a named entity visualization.
Taken from https://github.com/wandb/wandb/blob/main/wandb/plots/named_entity.py.
"""
spacy = util.get_module(
"spacy",
required="part_of_speech requires the spacy library, install with `pip install spacy`",
)
util.... | python | wandb/integration/prodigy/prodigy.py | 33 | 54 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,423 | merge | def merge(dict1, dict2):
"""Return a new dictionary by merging two dictionaries recursively."""
result = deepcopy(dict1)
for key, value in dict2.items():
if isinstance(value, collections.abc.Mapping):
result[key] = merge(result.get(key, {}), value)
else:
result[key] ... | python | wandb/integration/prodigy/prodigy.py | 57 | 67 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,424 | get_schema | def get_schema(list_data_dict, struct, array_dict_types):
"""Get a schema of the dataset's structure and data types."""
# Get the structure of the JSON objects in the database
# This is similar to getting a JSON schema but with slightly different format
for _i, item in enumerate(list_data_dict):
... | python | wandb/integration/prodigy/prodigy.py | 70 | 135 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,425 | standardize | def standardize(item, structure, array_dict_types):
"""Standardize all rows/entries in dataset to fit the schema.
Will look for missing values and fill it in so all rows have
the same items and structure.
"""
for k, v in structure.items():
if k not in item:
# If the structure/fi... | python | wandb/integration/prodigy/prodigy.py | 138 | 176 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,426 | create_table | def create_table(data):
"""Create a W&B Table.
- Create/decode images from URL/Base64
- Uses spacy to translate NER span data to visualizations.
"""
# create table object from columns
table_df = pd.DataFrame(data)
columns = list(table_df.columns)
if ("spans" in table_df.columns) and ("t... | python | wandb/integration/prodigy/prodigy.py | 179 | 268 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,427 | upload_dataset | def upload_dataset(dataset_name):
"""Upload dataset from local database to Weights & Biases.
Args:
dataset_name: The name of the dataset in the Prodigy database.
"""
# Check if wandb.init has been called
if wandb.run is None:
raise ValueError("You must call wandb.init() before uploa... | python | wandb/integration/prodigy/prodigy.py | 271 | 299 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,428 | _wandb_use | def _wandb_use(name: str, data: pd.DataFrame, datasets=False, run=None, testing=False, *args, **kwargs): # type: ignore
if testing:
return "datasets" if datasets else None
if datasets:
run.use_artifact(f"{name}:latest")
wandb.termlog(f"Using artifact: {name} ({type(... | python | wandb/integration/metaflow/metaflow.py | 39 | 45 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,429 | wandb_track | def wandb_track(
name: str,
data: pd.DataFrame,
datasets=False,
run=None,
testing=False,
*args,
**kwargs,
):
if testing:
return "pd.DataFrame" if datasets else None
if datasets:
artifact = wandb.Artifact(name, type="dat... | python | wandb/integration/metaflow/metaflow.py | 48 | 65 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,430 | _wandb_use | def _wandb_use(name: str, data: nn.Module, models=False, run=None, testing=False, *args, **kwargs): # type: ignore
if testing:
return "models" if models else None
if models:
run.use_artifact(f"{name}:latest")
wandb.termlog(f"Using artifact: {name} ({type(data)})") | python | wandb/integration/metaflow/metaflow.py | 77 | 83 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,431 | wandb_track | def wandb_track(
name: str,
data: nn.Module,
models=False,
run=None,
testing=False,
*args,
**kwargs,
):
if testing:
return "nn.Module" if models else None
if models:
artifact = wandb.Artifact(name, type="model")
... | python | wandb/integration/metaflow/metaflow.py | 86 | 103 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,432 | _wandb_use | def _wandb_use(name: str, data: BaseEstimator, models=False, run=None, testing=False, *args, **kwargs): # type: ignore
if testing:
return "models" if models else None
if models:
run.use_artifact(f"{name}:latest")
wandb.termlog(f"Using artifact: {name} ({type(data)})... | python | wandb/integration/metaflow/metaflow.py | 114 | 120 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,433 | wandb_track | def wandb_track(
name: str,
data: BaseEstimator,
models=False,
run=None,
testing=False,
*args,
**kwargs,
):
if testing:
return "BaseEstimator" if models else None
if models:
artifact = wandb.Artifact(name, type="model")... | python | wandb/integration/metaflow/metaflow.py | 123 | 140 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,434 | __init__ | def __init__(self, flow):
# do this to avoid recursion problem with __setattr__
self.__dict__.update(
{
"flow": flow,
"inputs": {},
"outputs": {},
"base": set(dir(flow)),
"params": {p: getattr(flow, p) for p in c... | python | wandb/integration/metaflow/metaflow.py | 149 | 159 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,435 | __setattr__ | def __setattr__(self, key, val):
self.outputs[key] = val
return setattr(self.flow, key, val) | python | wandb/integration/metaflow/metaflow.py | 161 | 163 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,436 | __getattr__ | def __getattr__(self, key):
if key not in self.base and key not in self.outputs:
self.inputs[key] = getattr(self.flow, key)
return getattr(self.flow, key) | python | wandb/integration/metaflow/metaflow.py | 165 | 168 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,437 | wandb_track | def wandb_track(name: str, data: (dict, list, set, str, int, float, bool), run=None, testing=False, *args, **kwargs): # type: ignore
if testing:
return "scalar"
run.log({name: data}) | python | wandb/integration/metaflow/metaflow.py | 172 | 176 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,438 | wandb_track | def wandb_track(
name: str, data: Path, datasets=False, run=None, testing=False, *args, **kwargs
):
if testing:
return "Path" if datasets else None
if datasets:
artifact = wandb.Artifact(name, type="dataset")
if data.is_dir():
artifact.add_dir(data)
elif data.is_... | python | wandb/integration/metaflow/metaflow.py | 180 | 193 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,439 | wandb_track | def wandb_track(
name: str, data, others=False, run=None, testing=False, *args, **kwargs
):
if testing:
return "generic" if others else None
if others:
artifact = wandb.Artifact(name, type="other")
with artifact.new_file(f"{name}.pkl", "wb") as f:
pickle.dump(data, f)
... | python | wandb/integration/metaflow/metaflow.py | 198 | 209 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,440 | wandb_use | def wandb_use(name: str, data, *args, **kwargs):
try:
return _wandb_use(name, data, *args, **kwargs)
except wandb.CommError:
print(
f"This artifact ({name}, {type(data)}) does not exist in the wandb datastore!"
f"If you created an instance inline (e.g. sklearn.ensemble.Ra... | python | wandb/integration/metaflow/metaflow.py | 213 | 221 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,441 | wandb_use | def wandb_use(name: str, data: (dict, list, set, str, int, float, bool), *args, **kwargs): # type: ignore
pass # do nothing for these types | python | wandb/integration/metaflow/metaflow.py | 225 | 226 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,442 | _wandb_use | def _wandb_use(name: str, data: Path, datasets=False, run=None, testing=False, *args, **kwargs): # type: ignore
if testing:
return "datasets" if datasets else None
if datasets:
run.use_artifact(f"{name}:latest")
wandb.termlog(f"Using artifact: {name} ({type(data)})") | python | wandb/integration/metaflow/metaflow.py | 230 | 236 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,443 | _wandb_use | def _wandb_use(name: str, data, others=False, run=None, testing=False, *args, **kwargs): # type: ignore
if testing:
return "others" if others else None
if others:
run.use_artifact(f"{name}:latest")
wandb.termlog(f"Using artifact: {name} ({type(data)})") | python | wandb/integration/metaflow/metaflow.py | 240 | 246 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,444 | coalesce | def coalesce(*arg):
return next((a for a in arg if a is not None), None) | python | wandb/integration/metaflow/metaflow.py | 249 | 250 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,445 | wandb_log | def wandb_log(
func=None,
# /, # py38 only
datasets=False,
models=False,
others=False,
settings=None,
):
"""Automatically log parameters and artifacts to W&B by type dispatch.
This decorator can be applied to a flow, step, or both.
- Decorating a step will enable or disable logging... | python | wandb/integration/metaflow/metaflow.py | 253 | 348 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,446 | decorator | def decorator(func):
# If you decorate a class, apply the decoration to all methods in that class
if inspect.isclass(func):
cls = func
for attr in cls.__dict__:
if callable(getattr(cls, attr)):
if not hasattr(attr, "_base_func"):
... | python | wandb/integration/metaflow/metaflow.py | 277 | 343 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,447 | wrapper | def wrapper(self, *args, settings=settings, **kwargs):
if not isinstance(settings, wandb.sdk.wandb_settings.Settings):
settings = wandb.Settings()
settings.update(
run_group=coalesce(
settings.run_group, f"{current.flow_name}/{current.run_id}"... | python | wandb/integration/metaflow/metaflow.py | 292 | 332 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,448 | _define_metric | def _define_metric(data: str, metric_name: str) -> None:
"""Capture model performance at the best step.
instead of the last step, of training in your `wandb.summary`
"""
if "loss" in str.lower(metric_name):
wandb.define_metric(f"{data}_{metric_name}", summary="min")
elif str.lower(metric_na... | python | wandb/integration/lightgbm/__init__.py | 53 | 63 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,449 | _checkpoint_artifact | def _checkpoint_artifact(
model: "Booster", iteration: int, aliases: "List[str]"
) -> None:
"""Upload model checkpoint as W&B artifact."""
# NOTE: type ignore required because wandb.run is improperly inferred as None type
model_name = f"model_{wandb.run.id}" # type: ignore
model_path = Path(wandb.r... | python | wandb/integration/lightgbm/__init__.py | 66 | 78 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,450 | _log_feature_importance | def _log_feature_importance(model: "Booster") -> None:
"""Log feature importance."""
feat_imps = model.feature_importance()
feats = model.feature_name()
fi_data = [[feat, feat_imp] for feat, feat_imp in zip(feats, feat_imps)]
table = wandb.Table(data=fi_data, columns=["Feature", "Importance"])
w... | python | wandb/integration/lightgbm/__init__.py | 81 | 94 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,451 | wandb_callback | def wandb_callback(log_params: bool = True, define_metric: bool = True) -> Callable:
"""Automatically integrates LightGBM with wandb.
Arguments:
log_params: (boolean) if True (default) logs params passed to lightgbm.train as W&B config
define_metric: (boolean) if True (default) capture model pe... | python | wandb/integration/lightgbm/__init__.py | 97 | 161 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,452 | _init | def _init(env: "CallbackEnv") -> None:
with wb_telemetry.context() as tel:
tel.feature.lightgbm_wandb_callback = True
wandb.config.update(env.params)
log_params_list[0] = False
if define_metric_list[0]:
for i in range(len(env.evaluation_result_list)):
... | python | wandb/integration/lightgbm/__init__.py | 130 | 141 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,453 | _callback | def _callback(env: "CallbackEnv") -> None:
if log_params_list[0]:
_init(env)
eval_results: "Dict[str, Dict[str, List[Any]]]" = {}
recorder = lightgbm.record_evaluation(eval_results)
recorder(env)
for validation_key in eval_results.keys():
for key in eval... | python | wandb/integration/lightgbm/__init__.py | 143 | 159 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,454 | log_summary | def log_summary(
model: Booster, feature_importance: bool = True, save_model_checkpoint: bool = False
) -> None:
"""Log useful metrics about lightgbm model after training is done.
Arguments:
model: (Booster) is an instance of lightgbm.basic.Booster.
feature_importance: (boolean) if True (de... | python | wandb/integration/lightgbm/__init__.py | 164 | 215 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,455 | __init__ | def __init__(self, metric_period: int = 1):
if wandb.run is None:
raise wandb.Error("You must call `wandb.init()` before `WandbCallback()`")
with wb_telemetry.context() as tel:
tel.feature.catboost_wandb_callback = True
self.metric_period: int = metric_period | python | wandb/integration/catboost/catboost.py | 42 | 49 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,456 | after_iteration | def after_iteration(self, info: SimpleNamespace) -> bool:
if info.iteration % self.metric_period == 0:
for data, metric in info.metrics.items():
for metric_name, log in metric.items():
# todo: replace with wandb.run._log once available
wandb.lo... | python | wandb/integration/catboost/catboost.py | 51 | 60 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,457 | _checkpoint_artifact | def _checkpoint_artifact(
model: Union[CatBoostClassifier, CatBoostRegressor], aliases: List[str]
) -> None:
"""Upload model checkpoint as W&B artifact."""
if wandb.run is None:
raise wandb.Error(
"You must call `wandb.init()` before `_checkpoint_artifact()`"
)
model_name = ... | python | wandb/integration/catboost/catboost.py | 63 | 80 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,458 | _log_feature_importance | def _log_feature_importance(
model: Union[CatBoostClassifier, CatBoostRegressor]
) -> None:
"""Log feature importance with default settings."""
if wandb.run is None:
raise wandb.Error(
"You must call `wandb.init()` before `_checkpoint_artifact()`"
)
feat_df = model.get_featu... | python | wandb/integration/catboost/catboost.py | 83 | 107 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,459 | log_summary | def log_summary(
model: Union[CatBoostClassifier, CatBoostRegressor],
log_all_params: bool = True,
save_model_checkpoint: bool = False,
log_feature_importance: bool = True,
) -> None:
"""`log_summary` logs useful metrics about catboost model after training is done.
Arguments:
model: it ... | python | wandb/integration/catboost/catboost.py | 110 | 178 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,460 | sagemaker_auth | def sagemaker_auth(overrides=None, path=".", api_key=None):
"""Write a secrets.env file with the W&B ApiKey and any additional secrets passed.
Arguments:
overrides (dict, optional): Additional environment variables to write
to secrets.env
path (str, optional)... | python | wandb/integration/sagemaker/auth.py | 7 | 28 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,461 | parse_sm_config | def parse_sm_config() -> Dict[str, Any]:
"""Attempt to parse SageMaker configuration.
Returns:
A dictionary of SageMaker config keys/values or empty dict if not found.
"""
conf = {}
if os.path.exists(sm_files.SM_PARAM_CONFIG) and os.path.exists(
sm_files.SM_RESOURCE_CONFIG
):
... | python | wandb/integration/sagemaker/config.py | 9 | 28 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,462 | parse_sm_secrets | def parse_sm_secrets() -> Dict[str, str]:
"""We read our api_key from secrets.env in SageMaker."""
env_dict = dict()
# Set secret variables
if os.path.exists(sm_files.SM_SECRETS):
for line in open(sm_files.SM_SECRETS):
key, val = line.strip().split("=", 1)
env_dict[key] =... | python | wandb/integration/sagemaker/resources.py | 10 | 18 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,463 | parse_sm_resources | def parse_sm_resources() -> Tuple[Dict[str, str], Dict[str, str]]:
run_dict = dict()
run_id = os.getenv("TRAINING_JOB_NAME")
if run_id and os.getenv("WANDB_RUN_ID") is None:
suffix = "".join(
secrets.choice(string.ascii_lowercase + string.digits) for _ in range(6)
)
run_... | python | wandb/integration/sagemaker/resources.py | 21 | 34 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,464 | _terminate_thread | def _terminate_thread(thread):
if not thread.is_alive():
return
if hasattr(thread, "_terminated"):
return
thread._terminated = True
tid = getattr(thread, "_thread_id", None)
if tid is None:
for k, v in threading._active.items():
if v is thread:
tid... | python | wandb/agents/pyagent.py | 23 | 47 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,465 | __init__ | def __init__(self, command):
self.command = command
job_type = command.get("type")
self.type = job_type
self.run_id = command.get("run_id")
self.config = command.get("args") | python | wandb/agents/pyagent.py | 51 | 56 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,466 | __repr__ | def __repr__(self):
if self.type == "run":
return f"Job({self.run_id},{self.config})"
elif self.type == "stop":
return f"stop({self.run_id})"
else:
return "exit" | python | wandb/agents/pyagent.py | 58 | 64 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,467 | __init__ | def __init__(
self, sweep_id=None, project=None, entity=None, function=None, count=None
):
self._sweep_path = sweep_id
self._sweep_id = None
self._project = project
self._entity = entity
self._function = function
self._count = count
# glob_config = os.... | python | wandb/agents/pyagent.py | 81 | 100 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,468 | _init | def _init(self):
# These are not in constructor so that Agent instance can be rerun
self._run_threads = {}
self._run_status = {}
self._queue = queue.Queue()
self._exit_flag = False
self._exceptions = {}
self._start_time = time.time() | python | wandb/agents/pyagent.py | 102 | 109 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,469 | _register | def _register(self):
logger.debug("Agent._register()")
agent = self._api.register_agent(socket.gethostname(), sweep_id=self._sweep_id)
self._agent_id = agent["id"]
logger.debug(f"agent_id = {self._agent_id}") | python | wandb/agents/pyagent.py | 111 | 115 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,470 | _setup | def _setup(self):
logger.debug("Agent._setup()")
self._init()
parts = dict(entity=self._entity, project=self._project, name=self._sweep_path)
err = util.parse_sweep_id(parts)
if err:
wandb.termerror(err)
return
entity = parts.get("entity") or self.... | python | wandb/agents/pyagent.py | 117 | 136 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,471 | _stop_run | def _stop_run(self, run_id):
logger.debug(f"Stopping run {run_id}.")
self._run_status[run_id] = RunStatus.STOPPED
thread = self._run_threads.get(run_id)
if thread:
_terminate_thread(thread) | python | wandb/agents/pyagent.py | 138 | 143 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,472 | _stop_all_runs | def _stop_all_runs(self):
logger.debug("Stopping all runs.")
for run in list(self._run_threads.keys()):
self._stop_run(run) | python | wandb/agents/pyagent.py | 145 | 148 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,473 | _exit | def _exit(self):
self._stop_all_runs()
self._exit_flag = True
# _terminate_thread(self._main_thread) | python | wandb/agents/pyagent.py | 150 | 153 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,474 | _heartbeat | def _heartbeat(self):
while True:
if self._exit_flag:
return
# if not self._main_thread.is_alive():
# return
run_status = {
run: True
for run, status in self._run_status.items()
if status in (RunS... | python | wandb/agents/pyagent.py | 155 | 178 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,475 | _run_jobs_from_queue | def _run_jobs_from_queue(self): # noqa:C901
global _INSTANCES
_INSTANCES += 1
try:
waiting = False
count = 0
while True:
if self._exit_flag:
return
try:
try:
job =... | python | wandb/agents/pyagent.py | 180 | 275 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,476 | _run_job | def _run_job(self, job):
try:
run_id = job.run_id
config_file = os.path.join(
"wandb", "sweep-" + self._sweep_id, "config-" + run_id + ".yaml"
)
os.environ[wandb.env.RUN_ID] = run_id
base_dir = os.environ.get(wandb.env.DIR, "")
... | python | wandb/agents/pyagent.py | 277 | 311 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,477 | run | def run(self):
logger.info(
"Starting sweep agent: entity={}, project={}, count={}".format(
self._entity, self._project, self._count
)
)
self._setup()
# self._main_thread = threading.Thread(target=self._run_jobs_from_queue)
self._heartbeat_... | python | wandb/agents/pyagent.py | 313 | 326 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,478 | pyagent | def pyagent(sweep_id, function, entity=None, project=None, count=None):
"""Generic agent entrypoint, used for CLI or jupyter.
Arguments:
sweep_id (dict): Sweep ID generated by CLI or sweep API
function (func, optional): A function to call instead of the "program"
entity (str, optional):... | python | wandb/agents/pyagent.py | 329 | 348 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,479 | is_running | def is_running():
return bool(_INSTANCES) | python | wandb/agents/pyagent.py | 354 | 355 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,480 | wandb_dir | def wandb_dir(root_dir=None):
if root_dir is None or root_dir == "":
try:
cwd = os.getcwd()
except OSError:
termwarn("os.getcwd() no longer exists, using system temp directory")
cwd = tempfile.gettempdir()
root_dir = env.get_dir(cwd)
path = os.path.joi... | python | wandb/old/core.py | 31 | 45 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,481 | _set_stage_dir | def _set_stage_dir(stage_dir):
# Used when initing a new project with "wandb init"
global __stage_dir__
__stage_dir__ = stage_dir | python | wandb/old/core.py | 48 | 51 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,482 | __init__ | def __init__(self, message):
super().__init__(message)
self.message = message | python | wandb/old/core.py | 57 | 59 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,483 | encode | def encode(self, encoding):
return self.message | python | wandb/old/core.py | 62 | 63 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,484 | termlog | def termlog(string="", newline=True, repeat=True):
"""Log to standard error with formatting.
Arguments:
string (str, optional): The string to print
newline (bool, optional): Print a newline at the end of the string
repeat (bool, optional): If set to False only prints the string once per... | python | wandb/old/core.py | 80 | 105 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,485 | termwarn | def termwarn(string, **kwargs):
string = "\n".join([f"{WARN_STRING} {s}" for s in string.split("\n")])
termlog(string=string, newline=True, **kwargs) | python | wandb/old/core.py | 108 | 110 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,486 | termerror | def termerror(string, **kwargs):
string = "\n".join([f"{ERROR_STRING} {s}" for s in string.split("\n")])
termlog(string=string, newline=True, **kwargs) | python | wandb/old/core.py | 113 | 115 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,487 | __init__ | def __init__(self, root=None, path=()):
self._path = tuple(path)
if root is None:
self._root = self
self._json_dict = {}
else:
self._root = root
json_dict = root._json_dict
for k in path:
json_dict = json_dict[k]
... | python | wandb/old/summary.py | 25 | 41 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,488 | __setattr__ | def __setattr__(self, k, v):
k = k.strip()
if k.startswith("_"):
object.__setattr__(self, k, v)
else:
self[k] = v | python | wandb/old/summary.py | 43 | 48 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,489 | __getattr__ | def __getattr__(self, k):
k = k.strip()
if k.startswith("_"):
return object.__getattribute__(self, k)
else:
return self[k] | python | wandb/old/summary.py | 50 | 55 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,490 | _root_get | def _root_get(self, path, child_dict):
"""Load a value at a particular path from the root.
This should only be implemented by the "_root" child class.
We pass the child_dict so the item can be set on it or not as
appropriate. Returning None for a nonexistant path wouldn't be
di... | python | wandb/old/summary.py | 57 | 66 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,491 | _root_set | def _root_set(self, path, new_keys_values):
"""Set a value at a particular path in the root.
This should only be implemented by the "_root" child class.
"""
raise NotImplementedError | python | wandb/old/summary.py | 68 | 73 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,492 | _root_del | def _root_del(self, path):
"""Delete a value at a particular path in the root.
This should only be implemented by the "_root" child class.
"""
raise NotImplementedError | python | wandb/old/summary.py | 75 | 80 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,493 | _write | def _write(self, commit=False):
# should only be implemented on the root summary
raise NotImplementedError | python | wandb/old/summary.py | 82 | 84 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,494 | keys | def keys(self):
# _json_dict has the full set of keys, including those for h5 objects
# that may not have been loaded yet
return self._json_dict.keys() | python | wandb/old/summary.py | 86 | 89 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,495 | get | def get(self, k, default=None):
if isinstance(k, str):
k = k.strip()
if k not in self._dict:
self._root._root_get(self._path + (k,), self._dict)
return self._dict.get(k, default) | python | wandb/old/summary.py | 91 | 96 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,496 | items | def items(self):
# not all items may be loaded into self._dict, so we
# have to build the sequence of items from scratch
for k in self.keys():
yield k, self[k] | python | wandb/old/summary.py | 98 | 102 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,497 | __getitem__ | def __getitem__(self, k):
if isinstance(k, str):
k = k.strip()
self.get(k) # load the value into _dict if it should be there
res = self._dict[k]
return res | python | wandb/old/summary.py | 104 | 111 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,498 | __contains__ | def __contains__(self, k):
if isinstance(k, str):
k = k.strip()
return k in self._json_dict | python | wandb/old/summary.py | 113 | 117 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,499 | __setitem__ | def __setitem__(self, k, v):
if isinstance(k, str):
k = k.strip()
path = self._path
if isinstance(v, dict):
self._dict[k] = SummarySubDict(self._root, path + (k,))
self._root._root_set(path, [(k, {})])
self._dict[k].update(v)
else:
... | python | wandb/old/summary.py | 119 | 137 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
2,500 | __delitem__ | def __delitem__(self, k):
k = k.strip()
del self._dict[k]
self._root._root_del(self._path + (k,))
self._root._write() | python | wandb/old/summary.py | 139 | 144 | {
"name": "Git-abouvier/wandb",
"url": "https://github.com/Git-abouvier/wandb.git",
"license": "MIT",
"stars": 0,
"forks": 0
} |
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