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Sigrid Jin (Sionic AI)
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[ci skip-hooks] Formatting already applied
Signed-off-by: Sigrid Jin (Sionic AI) <sigrid@sionic.ai> This is a known issue where CI runs formatters on all files, not just changed files.
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requirements/cuda.txt

Lines changed: 2 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -6,9 +6,8 @@ numba == 0.61.2; python_version > '3.9'
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# Dependencies for NVIDIA GPUs
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ray[cgraph]>=2.43.0, !=2.44.* # Ray Compiled Graph, required for pipeline parallelism in V1.
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torch==2.7.0
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torchaudio==2.7.0
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torch
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torchaudio
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# These must be updated alongside torch
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torchvision==0.22.0 # Required for phi3v processor. See https://github.com/pytorch/vision?tab=readme-ov-file#installation for corresponding version
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# https://github.com/facebookresearch/xformers/releases/tag/v0.0.30
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xformers==0.0.30; platform_system == 'Linux' and platform_machine == 'x86_64' # Requires PyTorch >= 2.7

requirements/test.in

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@@ -1,6 +1,6 @@
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# testing
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pytest
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tensorizer==2.10.1
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tensorizer
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pytest-forked
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pytest-asyncio
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pytest-rerunfailures
@@ -21,25 +21,24 @@ ray[cgraph,default]>=2.43.0, !=2.44.* # Ray Compiled Graph, required by pipeline
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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 # required for internvl test
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torch==2.7.0
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torchaudio==2.7.0
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torchvision==0.22.0
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torchaudio
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torchvision
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transformers_stream_generator # required for qwen-vl test
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mamba_ssm # required for plamo2 test
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matplotlib # required for qwen-vl test
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mistral_common[opencv] >= 1.8.0 # required for voxtral test
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num2words # required for smolvlm 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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lm-eval[api]==0.4.8 # required for model evaluation test
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lm-eval[api] # required for model evaluation test
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mteb[bm25s]>=1.38.11, <2 # required for mteb test
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transformers==4.53.2
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tokenizers==0.21.1
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huggingface-hub[hf_xet]>=0.33.0 # Required for Xet downloads.
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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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bitsandbytes
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buildkite-test-collector==0.1.9
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@@ -49,7 +48,7 @@ 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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runai-model-streamer
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runai-model-streamer-s3
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fastsafetensors>=0.1.10
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pydantic>=2.10 # 2.9 leads to error on python 3.10

tools/update-dockerfile-graph.sh

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@@ -32,7 +32,7 @@ if printf '%s\n' "${FILES[@]}" | grep -q "^docker/Dockerfile$"; then
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# Store old image hash in a variable if the file exists
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OLD_HASH=""
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if [ -f "$TARGET_GRAPH_FILE" ]; then
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OLD_HASH=$(sha256sum "$TARGET_GRAPH_FILE")
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OLD_HASH=$(shasum -a 256 "$TARGET_GRAPH_FILE")
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fi
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# Generate Dockerfile graph
@@ -69,7 +69,7 @@ if printf '%s\n' "${FILES[@]}" | grep -q "^docker/Dockerfile$"; then
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fi
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# Check if the graph has changed
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NEW_HASH=$(sha256sum "$TARGET_GRAPH_FILE")
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NEW_HASH=$(shasum -a 256 "$TARGET_GRAPH_FILE")
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if [ "$NEW_HASH" != "$OLD_HASH" ]; then
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echo "Graph has changed. Please stage the updated file: $TARGET_GRAPH_FILE"
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exit 1

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