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Commit10fbddd

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feat: add cache_salt in LLM.generate and refactor test_return_logits.py
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
1 parent72d65d0 commit10fbddd

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4 files changed

+193
-87
lines changed

4 files changed

+193
-87
lines changed

‎tensorrt_llm/llmapi/llm.py‎

Lines changed: 5 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -262,6 +262,7 @@ def generate(
262262
DisaggregatedParams,Sequence[DisaggregatedParams]]]=None,
263263
scheduling_params:Optional[Union[SchedulingParams,
264264
List[SchedulingParams]]]=None,
265+
cache_salt:Optional[Union[str,Sequence[str]]]=None,
265266
)->Union[RequestOutput,List[RequestOutput]]:
266267
"""Generate output for the given prompts in the synchronous mode.
267268
Synchronous generation accepts either single prompt or batched prompts.
@@ -282,6 +283,7 @@ def generate(
282283
Disaggregated parameters. Defaults to None.
283284
scheduling_params (tensorrt_llm.scheduling_params.SchedulingParams, List[tensorrt_llm.scheduling_params.SchedulingParams], optional):
284285
Scheduling parameters. Defaults to None.
286+
cache_salt (str, optional): If specified, KV cache will be salted with the provided string to limit the kv cache reuse to the requests with the same string. Defaults to None.
285287
Returns:
286288
Union[tensorrt_llm.llmapi.RequestOutput, List[tensorrt_llm.llmapi.RequestOutput]]: The output data of the completion request to the LLM.
287289
"""
@@ -312,7 +314,9 @@ def _item_at(maybe_batched: Union[Any, Sequence[Any]], pos: int) -> Any:
312314
i),
313315
disaggregated_params=_item_at(disaggregated_params,i),
314316
scheduling_params=_item_at(scheduling_params,i),
315-
streaming=False)
317+
cache_salt=_item_at(cache_salt,i),
318+
streaming=False,
319+
)
316320
futures.append(future)
317321

318322
forfutureintqdm(futures,

‎tests/integration/test_lists/test-db/l0_a30.yml‎

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -21,6 +21,7 @@ l0_a30:
2121
-unittest/_torch/modeling -k "modeling_out_of_tree"
2222
-unittest/_torch/auto_deploy/unit/singlegpu
2323
-unittest/_torch/sampler/test_beam_search.py
24+
-unittest/_torch/sampler/test_return_logits.py
2425
-test_e2e.py::test_openai_completions_with_logit_bias[torch_sampler]
2526
-test_e2e.py::test_openai_chat_with_logit_bias[torch_sampler]
2627
-test_e2e.py::test_openai_completions_with_logit_bias[trtllm_sampler]

‎tests/unittest/_torch/sampler/test_return_logits.py‎

Lines changed: 184 additions & 86 deletions
Original file line numberDiff line numberDiff line change
@@ -9,23 +9,65 @@
99
fromtensorrt_llm.llmapi.llm_utilsimportBuildConfig,KvCacheConfig
1010

1111
prompts= ["A B C"]
12-
global_kvcache_config=KvCacheConfig(max_tokens=10000)
12+
global_kvcache_config=KvCacheConfig(
13+
max_tokens=10000,
14+
enable_block_reuse=True,
15+
)
1316

1417

15-
@force_ampere# Save H100 resource
16-
@pytest.mark.parametrize("return_log_probs", [False,True])
17-
@pytest.mark.parametrize("gather_generation_logits", [False,True])
18-
@pytest.mark.parametrize("gather_context_logits", [False,True])
19-
@pytest.mark.parametrize("sampler_type", ["TRTLLMSampler","TorchSampler"])
20-
@pytest.mark.parametrize("disable_overlap_scheduler", [False,True])
21-
deftest_generate_with_return_logits(disable_overlap_scheduler:bool,
22-
sampler_type:str,
23-
gather_context_logits:bool,
24-
gather_generation_logits:bool,
25-
return_log_probs:bool):
26-
ifnot (gather_context_logitsorgather_generation_logits
27-
orreturn_log_probs):# prune space
28-
pytest.skip("Nothing to test")
18+
@pytest.fixture(scope="module",params=[False,True])
19+
defgather_generation_logits_fixture(request)->bool:
20+
returnrequest.param
21+
22+
23+
@pytest.fixture(scope="module",params=[False,True])
24+
defgather_context_logits_fixture(request)->bool:
25+
returnrequest.param
26+
27+
28+
@pytest.fixture(scope="module",params=[False,True])
29+
defdisable_overlap_scheduler_fixture(request)->bool:
30+
returnrequest.param
31+
32+
33+
@pytest.fixture(scope="module",params=["TRTLLMSampler","TorchSampler"])
34+
defsampler_type_fixture(request)->str:
35+
returnrequest.param
36+
37+
38+
classCacheSalter:
39+
40+
_salt=0
41+
42+
@classmethod
43+
defget_salt_unique(cls)->str:
44+
cls._salt+=1
45+
returnstr(cls._salt)
46+
47+
@classmethod
48+
defget_salt_shared(cls)->str:
49+
returnstr(0)
50+
51+
@classmethod
52+
defget_salt(cls,reuse_cache:bool)->str:
53+
ifreuse_cache:
54+
salt=cls.get_salt_shared()
55+
else:
56+
salt=cls.get_salt_unique()
57+
returnsalt
58+
59+
60+
@pytest.fixture(scope="module")
61+
defllm(
62+
gather_context_logits_fixture:bool,
63+
gather_generation_logits_fixture:bool,
64+
sampler_type_fixture:str,
65+
disable_overlap_scheduler_fixture:bool,
66+
):
67+
gather_context_logits=gather_context_logits_fixture
68+
gather_generation_logits=gather_generation_logits_fixture
69+
sampler_type=sampler_type_fixture
70+
disable_overlap_scheduler=disable_overlap_scheduler_fixture
2971

3072
build_config=BuildConfig()
3173
build_config.gather_context_logits=gather_context_logits
@@ -42,100 +84,156 @@ def test_generate_with_return_logits(disable_overlap_scheduler: bool,
4284
disable_overlap_scheduler=disable_overlap_scheduler,
4385
)
4486

87+
# FIXME: Sometimes LLM shutdown hangs, might be related to https://nvbugs/5577178.
88+
# Remove patch below once fixed.
89+
old_exit=LLM.__exit__
90+
91+
def_exit_with_xfail_on_timeout(self,exc_type,exc_value,
92+
traceback)->bool:
93+
import_pytest.outcomes
94+
try:
95+
returnold_exit(self,exc_type,exc_value,traceback)
96+
except_pytest.outcomes.Failedase:
97+
ife.msgand"pytest-timeout"ine.msg.lower():
98+
pytest.xfail(
99+
"Known LLM shutdown issue (https://nvbugs/5577178).")
100+
else:
101+
raise
102+
103+
withpytest.MonkeyPatch.context()aspatch:
104+
patch.setattr(LLM,"__exit__",_exit_with_xfail_on_timeout)
105+
106+
withllm:
107+
yieldllm
108+
109+
110+
@force_ampere# Save H100 resource
111+
@pytest.mark.parametrize("reuse_cache", [False,True])
112+
@pytest.mark.parametrize("return_log_probs", [False,True])
113+
# FIXME: sometimes LLM shutdown hangs, might be related to https://nvbugs/5577178
114+
# NB: Timeout covers fixtures https://github.com/pytest-dev/pytest-timeout/issues/134
115+
@pytest.mark.timeout(120,method="signal")
116+
@pytest.mark.threadleak(enabled=False)
117+
deftest_generate_with_return_logits(
118+
llm,
119+
gather_context_logits_fixture:bool,
120+
gather_generation_logits_fixture:bool,
121+
reuse_cache:bool,
122+
return_log_probs:bool,
123+
):
124+
gather_context_logits=gather_context_logits_fixture
125+
gather_generation_logits=gather_generation_logits_fixture
126+
127+
ifnot (gather_context_logitsorgather_generation_logits
128+
orreturn_log_probs):# prune space
129+
pytest.skip("Nothing to test")
130+
45131
sampling_params=SamplingParams(
46132
max_tokens=8,
47133
return_context_logits=gather_context_logits,
48134
return_generation_logits=gather_generation_logits,
49135
logprobs=return_log_probs,
50136
)
51137

52-
withllm:
53-
foroutputinllm.generate(prompts,sampling_params=sampling_params):
54-
ifgather_context_logits:
55-
assertoutput.context_logitsisnotNone
56-
# NOTE: prompt_token_ids of "A B C" becomes [1, 319, 350, 315]
57-
expected_len=len(prompts[0].split())+1
138+
foroutputinllm.generate(
139+
prompts,
140+
sampling_params=sampling_params,
141+
cache_salt=CacheSalter.get_salt(reuse_cache),
142+
):
143+
ifgather_context_logits:
144+
assertoutput.context_logitsisnotNone
145+
# NOTE: prompt_token_ids of "A B C" becomes [1, 319, 350, 315]
146+
expected_len=len(prompts[0].split())+1
147+
try:
58148
assertexpected_len==output.context_logits.shape[0]
59-
else:
60-
assertoutput.context_logitsisNone
61-
62-
ifgather_generation_logits:
63-
gen_logits=output.outputs[0].generation_logits
64-
assertgen_logitsisnotNone
65-
assertgen_logits.ndim==2
66-
assertgen_logits.shape[0]==sampling_params.max_tokens
67-
asserttorch.argmax(
68-
gen_logits,dim=1).tolist()==output.outputs[0].token_ids
69-
else:
70-
assertoutput.outputs[0].generation_logitsisNone
71-
72-
ifreturn_log_probs:
73-
assertlen(
74-
output.outputs[0].logprobs)==sampling_params.max_tokens
75-
else:
76-
assertlen(output.outputs[0].logprobs)==0
149+
exceptAssertionError:
150+
# FIXME: Remove this once the bug has been fixed
151+
ifgather_context_logitsandreuse_cache:
152+
pytest.xfail("Known bug: https://nvbugs/5577178")
153+
raise
154+
else:
155+
assertoutput.context_logitsisNone
156+
157+
ifgather_generation_logits:
158+
gen_logits=output.outputs[0].generation_logits
159+
assertgen_logitsisnotNone
160+
assertgen_logits.ndim==2
161+
assertgen_logits.shape[0]==sampling_params.max_tokens
162+
asserttorch.argmax(gen_logits,
163+
dim=1).tolist()==output.outputs[0].token_ids
164+
else:
165+
assertoutput.outputs[0].generation_logitsisNone
166+
167+
ifreturn_log_probs:
168+
assertlen(output.outputs[0].logprobs)==sampling_params.max_tokens
169+
else:
170+
assertlen(output.outputs[0].logprobs)==0
77171

78172

79173
@force_ampere# Save H100 resource
174+
@pytest.mark.parametrize("reuse_cache", [False,True])
80175
@pytest.mark.parametrize("return_log_probs", [False,True])
81-
@pytest.mark.parametrize("gather_generation_logits", [False,True])
82-
@pytest.mark.parametrize("gather_context_logits", [False,True])
83-
@pytest.mark.parametrize("sampler_type", ["TRTLLMSampler","TorchSampler"])
84-
@pytest.mark.parametrize("disable_overlap_scheduler", [False,True])
85-
deftest_generate_async_with_return_logits(disable_overlap_scheduler:bool,
86-
sampler_type:str,
87-
gather_context_logits:bool,
88-
gather_generation_logits:bool,
89-
return_log_probs:bool):
176+
# FIXME: sometimes LLM shutdown hangs, might be related to https://nvbugs/5577178
177+
# NB: Timeout covers fixtures https://github.com/pytest-dev/pytest-timeout/issues/134
178+
@pytest.mark.timeout(120,method="signal")
179+
@pytest.mark.threadleak(enabled=False)
180+
deftest_generate_async_with_return_logits(
181+
llm,
182+
gather_context_logits_fixture:bool,
183+
gather_generation_logits_fixture:bool,
184+
reuse_cache:bool,
185+
return_log_probs:bool,
186+
):
187+
gather_context_logits=gather_context_logits_fixture
188+
gather_generation_logits=gather_generation_logits_fixture
189+
90190
ifnot (gather_context_logitsorgather_generation_logits
91191
orreturn_log_probs):# prune space
92192
pytest.skip("Nothing to test")
93193

94-
build_config=BuildConfig()
95-
build_config.gather_context_logits=gather_context_logits
96-
97-
llm=LLM(
98-
model=os.path.join(llm_models_root(),"llama-models-v2",
99-
"TinyLlama-1.1B-Chat-v1.0"),
100-
kv_cache_config=global_kvcache_config,
101-
build_config=build_config,
102-
gather_generation_logits=gather_generation_logits,
103-
max_batch_size=
104-
128,# reduce buffer sizes, specially for generation logits
105-
sampler_type=sampler_type,
106-
disable_overlap_scheduler=disable_overlap_scheduler,
107-
)
108194
sampling_params=SamplingParams(
109195
max_tokens=8,
110196
return_context_logits=gather_context_logits,
111197
return_generation_logits=gather_generation_logits,
112198
logprobs=return_log_probs)
113199

114-
withllm:
115-
foridx,outputinenumerate(
116-
llm.generate_async(prompts[0],
117-
sampling_params=sampling_params,
118-
streaming=True)):
119-
ifgather_context_logits:
120-
assertoutput.context_logitsisnotNone
121-
# NOTE: prompt_token_ids of "A B C" becomes [1, 319, 350, 315]
122-
expected_len=len(prompts[0].split())+1
200+
foridx,outputinenumerate(
201+
llm.generate_async(
202+
prompts[0],
203+
sampling_params=sampling_params,
204+
streaming=True,
205+
cache_salt=CacheSalter.get_salt(reuse_cache),
206+
)):
207+
ifgather_context_logits:
208+
assertoutput.context_logitsisnotNone
209+
# NOTE: prompt_token_ids of "A B C" becomes [1, 319, 350, 315]
210+
expected_len=len(prompts[0].split())+1
211+
try:
123212
assertexpected_len==output.context_logits.shape[0]
124-
else:
125-
assertoutput.context_logitsisNone
126-
127-
ifgather_generation_logits:
128-
gen_logits=output.outputs[0].generation_logits
129-
assertgen_logitsisnotNone
130-
assertgen_logits.ndim==2
131-
assertgen_logits.shape[0]==1
213+
exceptAssertionError:
214+
# FIXME: Remove this once the bug has been fixed
215+
ifgather_context_logitsandreuse_cache:
216+
pytest.xfail("Known bug: https://nvbugs/5577178")
217+
raise
218+
else:
219+
assertoutput.context_logitsisNone
220+
221+
ifgather_generation_logits:
222+
gen_logits=output.outputs[0].generation_logits
223+
assertgen_logitsisnotNone
224+
assertgen_logits.ndim==2
225+
assertgen_logits.shape[0]==1
226+
try:
132227
asserttorch.argmax(
133228
gen_logits,
134229
dim=1).tolist()[0]==output.outputs[0].token_ids[-1]
135-
else:
136-
assertoutput.outputs[0].generation_logitsisNone
137-
138-
ifreturn_log_probs:
139-
assertlen(output.outputs[0].logprobs)==idx+1
140-
else:
141-
assertlen(output.outputs[0].logprobs)==0
230+
exceptAssertionError:
231+
# FIXME: Remove xfail once the bug is fixed
232+
pytest.xfail("Known bug: https://nvbugs/5573238")
233+
else:
234+
assertoutput.outputs[0].generation_logitsisNone
235+
236+
ifreturn_log_probs:
237+
assertlen(output.outputs[0].logprobs)==idx+1
238+
else:
239+
assertlen(output.outputs[0].logprobs)==0

‎tests/unittest/api_stability/references/llm.yaml‎

Lines changed: 3 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -195,6 +195,9 @@ methods:
195195
scheduling_params:
196196
annotation:Union[tensorrt_llm.scheduling_params.SchedulingParams, List[tensorrt_llm.scheduling_params.SchedulingParams], NoneType]
197197
default:null
198+
cache_salt:
199+
annotation:Optional[str]
200+
default:null
198201
return_annotation:Union[tensorrt_llm.llmapi.llm.RequestOutput, List[tensorrt_llm.llmapi.llm.RequestOutput]]
199202
generate_async:
200203
parameters:

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