MCPcopy Create free account
hub / github.com/OpenLMLab/MOSS-RLHF / format

Method format

ppo/ppo_datahelper.py:314–335  ·  view source on GitHub ↗
(self, sample: Tuple[List[str], str])

Source from the content-addressed store, hash-verified

312 return output
313
314 def format(self, sample: Tuple[List[str], str]) -> Dict[str, Any]:
315 # original text concat special prompt: human prompt and assistant prompt
316 context = [get_special_prompt(i, self.opt) + u for i, u in enumerate(sample)]
317
318 context_vec = self.tokenizer.encode(
319 self.tokenizer.eos_token.join(context) + self.tokenizer.eos_token,
320 add_special_tokens=True
321 )
322
323 text_vec = context_vec[:self.opt.maxlen_prompt]
324 loss_mask = []
325 cnt = 0
326 for v in text_vec:
327 loss_mask.append(cnt % 2)
328 cnt += int(v == self.tokenizer.eos_token_id)
329
330 output = {
331 'text_vec': text_vec,
332 'loss_mask': loss_mask,
333 }
334
335 return output
336
337 def batchify(self, batch_samples: List[Dict[str, Any]]) -> Dict[str, Any]:
338 batch = dict()

Callers 3

_save_checkpointMethod · 0.45
sample_generatorMethod · 0.45
save_checkpointMethod · 0.45

Calls 1

get_special_promptFunction · 0.85

Tested by

no test coverage detected