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Method init

caffe2/python/checkpoint.py:192–228  ·  view source on GitHub ↗

Build a Task that will be run once after the job's `init_group` is run. This task will determine which blobs need to be checkpointed. If retrieve_from_epoch is not None, then the checkpoint metadata is retrieved from a previously saved checkpoint.

(
        self,
        nodes=None,
        retrieve_from_epoch=None,
        path_prefix=None,
        path_type=None
    )

Source from the content-addressed store, hash-verified

190 path_type: Indicate the type of path where checkpoint files are stored.
191 """
192 def init(
193 self,
194 nodes=None,
195 retrieve_from_epoch=None,
196 path_prefix=None,
197 path_type=None
198 ):
199 """
200 Build a Task that will be run once after the job's `init_group` is run.
201 This task will determine which blobs need to be checkpointed.
202 If retrieve_from_epoch is not None, then the checkpoint metadata is
203 retrieved from a previously saved checkpoint.
204 """
205 assert nodes is None or len(nodes) == 1, (
206 'CheckpointManager only supports single node.')
207
208 with Task(outputs=[self._blob_names]) as task:
209 if retrieve_from_epoch is None:
210 ops.GetAllBlobNames(
211 [],
212 self._blob_names,
213 include_shared=False)
214 else:
215 full_db_name = db_name(retrieve_from_epoch,
216 self._node_name, self._db_prefix, path_prefix)
217 db_type = path_type or self._db_type
218 logger.info("Initializing checkpoints from = %s"
219 % full_db_name)
220 ops.Load(
221 [], self._blob_names,
222 db=full_db_name,
223 db_type=db_type,
224 absolute_path=True,
225 keep_device=True,
226 )
227 self._names_output = task.outputs()[0]
228 return task
229
230 def blob_list(self):
231 assert self._names_output

Callers 2

testTensorAccessMethod · 0.45
trainMethod · 0.45

Calls 4

TaskClass · 0.90
db_nameFunction · 0.85
infoMethod · 0.80
outputsMethod · 0.45

Tested by 1

testTensorAccessMethod · 0.36