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[Fix]fix top_k_top_p sampling (#2801)
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* fix topk-topp

* update

* add base_non_truncated
This commit is contained in:
Sunny-bot1
2025-07-10 22:35:10 +08:00
committed by GitHub
parent 59071268b6
commit 240d6236bc
8 changed files with 23 additions and 123 deletions
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31
fastdeploy/worker/gcu_model_runner.py
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@@ -155,29 +155,12 @@ class GCUModelRunner(ModelRunnerBase):
-1].disaggregate_info["role"] == "prefill":
os.environ['PREFILL_NODE_ONE_STEP_STOP'] = "1"
top_k_reqs = []
top_p_reqs = []
max_num_seqs = self.parallel_config.max_num_seqs
top_p_buffer = paddle.full([max_num_seqs, 1],
self.model_config.top_p,
dtype='float32')
top_k_buffer = paddle.full([max_num_seqs, 1],
0,
dtype='int64')
req_len = len(req_dicts)
for i in range(req_len):
request = req_dicts[i]
idx = request.idx
length = len(request.prompt_token_ids)
if sampling_params := request.sampling_params:
if sampling_params.top_p < 1:
top_p_reqs.append(idx)
top_k = sampling_params.top_k
if top_k > 0:
top_k_reqs.append(idx)
prefill_tokens = []
if (request.guided_json is not None
or request.guided_regex is not None
@@ -252,8 +235,8 @@ class GCUModelRunner(ModelRunnerBase):
request.eos_token_ids.append(request.eos_token_ids[0])
self.share_inputs["eos_token_id"][:] = np.array(
request.eos_token_ids, dtype="int64").reshape(-1, 1)
top_p_buffer[idx:idx + 1] = request.get("top_p", 1.0)
top_k_buffer[idx:idx + 1] = request.get("top_k", 0)
self.share_inputs["top_p"][idx:idx + 1] = request.get("top_p", 1.0)
self.share_inputs["top_k"][idx:idx + 1] = request.get("top_k", 0)
self.share_inputs["temperature"][idx:idx + 1] = request.get(
"temperature", 0.95)
self.share_inputs["penalty_score"][idx:idx + 1] = request.get(
@@ -304,16 +287,6 @@ class GCUModelRunner(ModelRunnerBase):
if self.speculative_method in ["mtp"]:
self.proposer.insert_prefill_inputs(req_dicts)
if len(top_k_reqs) == 0:
self.share_inputs["top_k"] = None
else:
self.share_inputs["top_k"] = top_k_buffer
if len(top_p_reqs) == 0:
self.share_inputs["top_p"] = None
else:
self.share_inputs["top_p"] = top_p_buffer
def _dummy_prefill_inputs(self, num_tokens: int, batch_size: int,
expected_decode_len: int):
""" Set dummy prefill inputs to share_inputs """