chore: Update dependencies to docling-ibm-models and transformers to support D-FINE layout model

Signed-off-by: Nikos Livathinos <nli@zurich.ibm.com>
This commit is contained in:
Nikos Livathinos 2025-05-31 16:39:25 +02:00
parent 6e956dc551
commit 30dafd976d
2 changed files with 61 additions and 246 deletions

291
poetry.lock generated
View File

@ -1082,7 +1082,7 @@ chunking-openai = ["semchunk (>=2.2.0,<3.0.0)", "tiktoken (>=0.9.0,<0.10.0)"]
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version = "3.4.1"
version = "3.4.3"
description = "This package contains the AI models used by the Docling PDF conversion package"
optional = false
python-versions = "^3.9"
@ -1105,16 +1105,13 @@ safetensors = {version = ">=0.4.3,<1", extras = ["torch"]}
torch = "^2.2.2"
torchvision = "^0"
tqdm = "^4.64.0"
transformers = [
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{version = ">=4.42.0,<4.43.0", markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""},
]
transformers = {git = "https://github.com/huggingface/transformers.git"}
[package.source]
type = "git"
url = "https://github.com/docling-project/docling-ibm-models.git"
reference = "nli/layout_rtdetr_v2"
resolved_reference = "eef303ea0d2e6e48fb471aa9a5bd269b2d1f0f64"
reference = "nli/layout_dfine"
resolved_reference = "22ecdc17aa8247f18944d2a846fe2c528d3dea3f"
[[package]]
name = "docling-parse"
@ -3875,7 +3872,7 @@ description = "CUBLAS native runtime libraries"
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@ -3902,7 +3899,7 @@ description = "CUDA profiling tools runtime libs."
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@ -3931,7 +3928,7 @@ description = "NVRTC native runtime libraries"
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@ -4038,7 +4035,7 @@ description = "cuFile GPUDirect libraries"
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@ -4064,7 +4061,7 @@ description = "CURAND native runtime libraries"
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@ -4098,7 +4095,7 @@ description = "CUDA solver native runtime libraries"
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@ -4135,7 +4132,7 @@ description = "CUSPARSE native runtime libraries"
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@ -4180,7 +4177,7 @@ description = "NVIDIA Collective Communication Library (NCCL) Runtime"
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@ -4193,7 +4190,7 @@ description = "Nvidia JIT LTO Library"
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@ -4578,8 +4575,8 @@ files = [
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dev-tensorflow = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm @ git+https://github.com/ydshieh/kenlm@78f664fb3dafe1468d868d71faf19534530698d5", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm @ git+https://github.com/ydshieh/kenlm@78f664fb3dafe1468d868d71faf19534530698d5", "kernels (>=0.4.4,<0.5)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"]
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
flax-speech = ["kenlm @ git+https://github.com/ydshieh/kenlm@78f664fb3dafe1468d868d71faf19534530698d5", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
ftfy = ["ftfy"]
hf-xet = ["hf-xet"]
hub-kernels = ["kernels (>=0.3.2,<0.4)"]
integrations = ["kernels (>=0.3.2,<0.4)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
hf-xet = ["hf_xet"]
hub-kernels = ["kernels (>=0.4.4,<0.5)"]
integrations = ["kernels (>=0.4.4,<0.5)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
modelcreation = ["cookiecutter (==1.7.3)"]
natten = ["natten (>=0.14.6,<0.15.0)"]
num2words = ["num2words"]
@ -7952,21 +7755,27 @@ sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
sigopt = ["sigopt"]
sklearn = ["scikit-learn"]
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
speech = ["kenlm @ git+https://github.com/ydshieh/kenlm@78f664fb3dafe1468d868d71faf19534530698d5", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
tf-speech = ["kenlm @ git+https://github.com/ydshieh/kenlm@78f664fb3dafe1468d868d71faf19534530698d5", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
tiktoken = ["blobfile", "tiktoken"]
timm = ["timm (<=1.0.11)"]
tokenizers = ["tokenizers (>=0.21,<0.22)"]
torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
torch = ["accelerate (>=0.26.0)", "torch (>=2.1,<2.7)"]
torch-speech = ["kenlm @ git+https://github.com/ydshieh/kenlm@78f664fb3dafe1468d868d71faf19534530698d5", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1,<2.7)", "tqdm (>=4.27)"]
video = ["av"]
vision = ["Pillow (>=10.0.1,<=15.0)"]
[package.source]
type = "git"
url = "https://github.com/huggingface/transformers.git"
reference = "HEAD"
resolved_reference = "40a493c7ed4f19f08eadb0639cf26d49bfa5e180"
[[package]]
name = "triton"
version = "2.2.0"
@ -7999,7 +7808,7 @@ description = "A language and compiler for custom Deep Learning operations"
optional = false
python-versions = "*"
groups = ["main", "examples", "mac_intel"]
markers = "sys_platform != \"darwin\" and platform_machine == \"x86_64\" and platform_system == \"Linux\""
markers = "sys_platform != \"darwin\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
files = [
{file = "triton-3.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fad99beafc860501d7fcc1fb7045d9496cbe2c882b1674640304949165a916e7"},
{file = "triton-3.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3161a2bf073d6b22c4e2f33f951f3e5e3001462b2570e6df9cd57565bdec2984"},
@ -8751,9 +8560,9 @@ type = ["pytest-mypy"]
ocrmac = ["ocrmac"]
rapidocr = ["onnxruntime", "onnxruntime", "rapidocr-onnxruntime"]
tesserocr = ["tesserocr"]
vlm = ["accelerate", "transformers", "transformers"]
vlm = ["accelerate", "transformers"]
[metadata]
lock-version = "2.1"
python-versions = "^3.9"
content-hash = "4ac43dfa5216b72f649d30e364f49efbd49ca2877a883e309c5d878d75121f76"
content-hash = "6bb4476470cc426a5ebe4fbc4a1919b4943d416359efe88633516ca32f57644b"

View File

@ -47,8 +47,11 @@ packages = [{ include = "docling" }]
python = "^3.9"
pydantic = "^2.0.0"
docling-core = {version = "^2.26.0", extras = ["chunking"]}
# Nikos: Pinpoint to the docling-ibm-models@nli/layout_dfine
# docling-ibm-models = "^3.4.0"
docling-ibm-models = { git = "https://github.com/docling-project/docling-ibm-models.git", branch = "nli/layout_rtdetr_v2" }
docling-ibm-models = { git = "https://github.com/docling-project/docling-ibm-models.git", branch = "nli/layout_dfine" }
docling-parse = "^4.0.0"
filetype = "^1.2.0"
pypdfium2 = "^4.30.0"
@ -80,10 +83,13 @@ onnxruntime = [
{ version = "^1.7.0", optional = true, markers = "python_version >= '3.10'" },
]
transformers = [
{ markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "^4.46.0", optional = true },
{ markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "~4.42.0", optional = true },
]
# Nikos: To make it work with docling-ibm-models@nli/layout_dfine
# transformers = [
# { markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "^4.46.0", optional = true },
# { markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "~4.42.0", optional = true },
# ]
transformers = { git = "https://github.com/huggingface/transformers.git" }
accelerate = [
{ markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "^1.2.1", optional = true },
]