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7 changes: 5 additions & 2 deletions python/sglang/srt/layers/sampler.py
Original file line number Diff line number Diff line change
Expand Up @@ -72,9 +72,11 @@ def forward(
# NOTE: the top_p_renorm_prob from flashinfer has numerical problems,
# https://github.com/flashinfer-ai/flashinfer/issues/708
# so we use the torch implementation.

# clamp to avoid -inf.
logprobs = torch.log(
top_p_normalize_probs_torch(probs, sampling_info.top_ps)
)
).clamp(min=torch.finfo(probs.dtype).min)

max_top_k_round, batch_size = 32, probs.shape[0]
uniform_samples = torch.rand(
Expand Down Expand Up @@ -109,9 +111,10 @@ def forward(
sampling_info.need_min_p_sampling,
)
if return_logprob:
# clamp to avoid -inf.
logprobs = torch.log(
top_p_normalize_probs_torch(probs, sampling_info.top_ps)
)
).clamp(min=torch.finfo(probs.dtype).min)
else:
raise ValueError(
f"Invalid sampling backend: {global_server_args_dict['sampling_backend']}"
Expand Down
2 changes: 1 addition & 1 deletion python/sglang/srt/managers/tokenizer_manager.py
Original file line number Diff line number Diff line change
Expand Up @@ -701,7 +701,7 @@ def configure_logging(self, obj: ConfigureLoggingReq):
def create_abort_task(self, obj: GenerateReqInput):
# Abort the request if the client is disconnected.
async def abort_request():
await asyncio.sleep(1)
await asyncio.sleep(0.02)
if obj.is_single:
self.abort_request(obj.rid)
else:
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -58,8 +58,7 @@ def run_decode(
"logprob_start_len": 0,
},
)
print(json.dumps(response.json()))
print("=" * 100)
assert response.status_code == 200, "Request failed: " + response.text

def test_default_values(self):
self.run_decode()
Expand Down Expand Up @@ -112,4 +111,4 @@ def test_repetition_penalty(self):


if __name__ == "__main__":
unittest.main()
unittest.main(verbosity=3)