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Method save_dataset

tensorlayer/db.py:258–300  ·  view source on GitHub ↗

Saves one dataset into database, timestamp will be added automatically. Parameters ---------- dataset : any type The dataset you want to store. dataset_name : str The name of dataset. kwargs : other events Other events, suc

(self, dataset=None, dataset_name=None, **kwargs)

Source from the content-addressed store, hash-verified

256
257 # =========================== DATASET ===============================
258 def save_dataset(self, dataset=None, dataset_name=None, **kwargs):
259 """Saves one dataset into database, timestamp will be added automatically.
260
261 Parameters
262 ----------
263 dataset : any type
264 The dataset you want to store.
265 dataset_name : str
266 The name of dataset.
267 kwargs : other events
268 Other events, such as description, author and etc (optinal).
269
270 Examples
271 ----------
272 Save dataset
273 >>> db.save_dataset([X_train, y_train, X_test, y_test], 'mnist', description='this is a tutorial')
274
275 Get dataset
276 >>> dataset = db.find_top_dataset('mnist')
277
278 Returns
279 ---------
280 boolean : Return True if save success, otherwise, return False.
281 """
282 self._fill_project_info(kwargs)
283 if dataset_name is None:
284 raise Exception("dataset_name is None, please give a dataset name")
285 kwargs.update({'dataset_name': dataset_name})
286
287 s = time.time()
288 try:
289 dataset_id = self.dataset_fs.put(self._serialization(dataset))
290 kwargs.update({'dataset_id': dataset_id, 'time': datetime.utcnow()})
291 self.db.Dataset.insert_one(kwargs)
292 # print("[Database] Save params: {} SUCCESS, took: {}s".format(file_name, round(time.time()-s, 2)))
293 print("[Database] Save dataset: SUCCESS, took: {}s".format(round(time.time() - s, 2)))
294 return True
295 except Exception as e:
296 exc_type, exc_obj, exc_tb = sys.exc_info()
297 fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
298 logging.info("{} {} {} {} {}".format(exc_type, exc_obj, fname, exc_tb.tb_lineno, e))
299 print("[Database] Save dataset: FAIL")
300 return False
301
302 def find_top_dataset(self, dataset_name=None, sort=None, **kwargs):
303 """Finds and returns a dataset from the database which matches the requirement.

Callers 1

dispatch_tasks.pyFile · 0.80

Calls 3

_fill_project_infoMethod · 0.95
_serializationMethod · 0.95
updateMethod · 0.45

Tested by

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