A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 12:15 UTC
[CI/Build] Remove `awscli` dependency (#17532)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Cyrus Leung committed
May 2, 2025 at 00:20 UTC
f2e7af9b86fcaa12f75e9052bedbb0f2aa82c0fc
4 files changed
+1
-17
requirements/nightly_torch_test.txt
-1
@@ -13,7 +13,6 @@ librosa # required by audio tests in entrypoints/openai
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sentence-transformers
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numba == 0.61.2; python_version > '3.9'
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# testing utils
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-awscli
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boto3
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botocore
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datasets
requirements/rocm.txt
-1
@@ -5,7 +5,6 @@ numba == 0.60.0; python_version == '3.9' # v0.61 doesn't support Python 3.9. Req
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numba == 0.61.2; python_version > '3.9'
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# Dependencies for AMD GPUs
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-awscli
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boto3
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botocore
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datasets
requirements/test.in
-1
@@ -8,7 +8,6 @@ pytest-shard
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pytest-timeout
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# testing utils
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-awscli
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backoff # required for phi4mm test
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blobfile # required for kimi-vl test
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einops # required for MPT, qwen-vl and Mamba
requirements/test.txt
+1
-14
@@ -37,8 +37,6 @@ attrs==24.2.0
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# referencing
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audioread==3.0.1
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# via librosa
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-awscli==1.35.23
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- # via -r requirements/test.in
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backoff==2.2.1
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# via
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# -r requirements/test.in
@@ -53,7 +51,6 @@ boto3==1.35.57
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# via tensorizer
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botocore==1.35.57
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# via
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- # awscli
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# boto3
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# s3transfer
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bounded-pool-executor==0.0.3
@@ -81,7 +78,6 @@ click==8.1.7
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# typer
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colorama==0.4.6
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# via
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- # awscli
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# sacrebleu
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# schemathesis
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# tqdm-multiprocess
@@ -115,8 +111,6 @@ dnspython==2.7.0
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# via email-validator
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docopt==0.6.2
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# via num2words
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-docutils==0.16
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- # via awscli
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einops==0.8.0
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# via
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# -r requirements/test.in
@@ -472,8 +466,6 @@ pyarrow==18.0.0
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# via
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# datasets
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# genai-perf
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-pyasn1==0.6.1
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- # via rsa
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pybind11==2.13.6
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# via lm-eval
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pycparser==2.22
@@ -537,7 +529,6 @@ pytz==2024.2
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pyyaml==6.0.2
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# via
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# accelerate
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- # awscli
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# datamodel-code-generator
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# datasets
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# genai-perf
@@ -596,16 +587,12 @@ rpds-py==0.20.1
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# via
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# jsonschema
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# referencing
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-rsa==4.7.2
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- # via awscli
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runai-model-streamer==0.11.0
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# via -r requirements/test.in
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runai-model-streamer-s3==0.11.0
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# via -r requirements/test.in
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s3transfer==0.10.3
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- # via
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- # awscli
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- # boto3
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+ # via boto3
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sacrebleu==2.4.3
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# via lm-eval
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safetensors==0.4.5