Signed-off-by: Huy Do <huydhn@gmail.com> Co-authored-by: Michael Goin <mgoin64@gmail.com>
58 lines
1.9 KiB
Plaintext
58 lines
1.9 KiB
Plaintext
# testing
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pytest
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tensorizer==2.10.1
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pytest-forked
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pytest-asyncio
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pytest-rerunfailures
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pytest-shard
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pytest-timeout
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# testing utils
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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
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httpx
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librosa # required for audio tests
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vector_quantize_pytorch # required for minicpmo_26 test
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vocos # required for minicpmo_26 test
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peft>=0.15.0 # required for phi-4-mm test
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pqdm
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ray[cgraph,default]>=2.48.0 # Ray Compiled Graph, required by pipeline parallelism tests
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sentence-transformers # required for embedding tests
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soundfile # required for audio tests
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jiwer # required for audio tests
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timm >=1.0.17 # required for internvl and gemma3n-mm test
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torch==2.8.0
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torchaudio==2.8.0
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torchvision==0.23.0
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transformers_stream_generator # required for qwen-vl test
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matplotlib # required for qwen-vl test
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mistral_common[image,audio] >= 1.8.2 # required for voxtral test
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num2words # required for smolvlm test
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open_clip_torch==2.32.0 # Required for nemotron_vl test
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opencv-python-headless >= 4.11.0 # required for video test
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datamodel_code_generator # required for minicpm3 test
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# TODO: Use lm-eval[api]==0.4.10 once released
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lm-eval[api] @ git+https://github.com/EleutherAI/lm-evaluation-harness.git@206b7722158f58c35b7ffcd53b035fdbdda5126d # required for model evaluation test
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mteb[bm25s]>=1.38.11, <2 # required for mteb test
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transformers==4.55.2
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tokenizers==0.21.1
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schemathesis>=3.39.15 # Required for openai schema test.
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# quantization
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bitsandbytes==0.46.1
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buildkite-test-collector==0.1.9
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genai_perf==0.0.8
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tritonclient==2.51.0
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numba == 0.60.0; python_version == '3.9' # v0.61 doesn't support Python 3.9. Required for N-gram speculative decoding
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numba == 0.61.2; python_version > '3.9'
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numpy
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runai-model-streamer==0.11.0
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runai-model-streamer-s3==0.11.0
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fastsafetensors>=0.1.10
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pydantic>=2.10 # 2.9 leads to error on python 3.10
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terratorch==1.1rc2 # required for PrithviMAE test
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decord==0.6.0
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