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myrfy001
vllm_dsv4
Commits
b8b0859b
Unverified
Commit
b8b0859b
authored
May 02, 2025
by
Yang Wang
Committed by
GitHub
May 02, 2025
Browse files
add more pytorch related tests for torch nightly (#17422)
Signed-off-by:
Yang Wang
<
elainewy@meta.com
>
parent
d7543862
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14 additions
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4 deletions
+14
-4
.buildkite/test-pipeline.yaml
.buildkite/test-pipeline.yaml
+4
-0
requirements/nightly_torch_test.txt
requirements/nightly_torch_test.txt
+7
-1
vllm/sampling_params.py
vllm/sampling_params.py
+3
-3
No files found.
.buildkite/test-pipeline.yaml
View file @
b8b0859b
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@@ -293,6 +293,7 @@ steps:
parallelism
:
4
-
label
:
PyTorch Compilation Unit Tests
torch_nightly
:
true
source_file_dependencies
:
-
vllm/
-
tests/compile
...
...
@@ -302,6 +303,7 @@ steps:
-
pytest -v -s compile/test_sequence_parallelism.py
-
label
:
PyTorch Fullgraph Smoke Test
# 9min
torch_nightly
:
true
source_file_dependencies
:
-
vllm/
-
tests/compile
...
...
@@ -312,6 +314,7 @@ steps:
-
pytest -v -s compile/piecewise/test_toy_llama.py
-
label
:
PyTorch Fullgraph Test
# 18min
torch_nightly
:
true
source_file_dependencies
:
-
vllm/
-
tests/compile
...
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@@ -436,6 +439,7 @@ steps:
##### models test #####
-
label
:
Basic Models Test
# 24min
torch_nightly
:
true
source_file_dependencies
:
-
vllm/
-
tests/models
...
...
requirements/nightly_torch_test.txt
View file @
b8b0859b
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@@ -23,5 +23,11 @@ runai-model-streamer-s3==0.11.0
tensorizer>=2.9.0
lm-eval==0.4.8
buildkite-test-collector==0.1.9
lm-eval[api]==0.4.8 # required for model evaluation test
# required for quantization test
bitsandbytes>=0.45.3
# required for minicpmo_26 test
vector_quantize_pytorch
vocos
vllm/sampling_params.py
View file @
b8b0859b
...
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@@ -186,9 +186,9 @@ class SamplingParams(
logits_processors: list of functions that modify logits based on
previously generated tokens, and optionally prompt tokens as
a first argument.
truncate_prompt_tokens: If set to -1, will use the truncation size
supported by the model. If set to an integer k, will use only
the last k tokens from the prompt (i.e., left truncation).
truncate_prompt_tokens: If set to -1, will use the truncation size
supported by the model. If set to an integer k, will use only
the last k tokens from the prompt (i.e., left truncation).
Defaults to None (i.e., no truncation).
guided_decoding: If provided, the engine will construct a guided
decoding logits processor from these parameters. Defaults to None.
...
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