chore: use updated samgis-lisa == 1.0.7 to avoid CUDA init RuntimeError

poetry.lock

@@ -1,4 +1,4 @@
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 [[package]]
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@@ -428,93 +428,6 @@ mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pil
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
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-
-[package.dependencies]
-tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
-
-[package.extras]
-toml = ["tomli"]
-
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -1066,17 +979,6 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
 type = ["pytest-mypy"]
 
-[[package]]
-name = "iniconfig"
-version = "2.0.0"
-description = "brain-dead simple config-ini parsing"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "jinja2"
 version = "3.1.4"
@@ -1300,13 +1202,13 @@ files = [
 
 [[package]]
 name = "lisa-on-cuda"
-version = "1.4.5"
+version = "1.4.7"
 description = "LISA (Reasoning Segmentation via Large Language Model) on cuda, now with huggingface ZeroGPU support!"
 optional = false
 python-versions = "<3.12,>=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -1327,8 +1229,8 @@ scipy = ">=1.14.0,<2.0.0"
 sentencepiece = ">=0.2.0,<0.3.0"
 shortuuid = ">=1.0.13,<2.0.0"
 spaces = "0.30.2"
-torch = "2.2.0"
-torchvision = "0.17.0"
+torch = "2.4.0"
+torchvision = "0.19.0"
 tqdm = ">=4.66.4,<5.0.0"
 transformers-backport = "4.31.2"
 uvicorn = ">=0.30.1,<0.31.0"
@@ -1675,12 +1577,13 @@ files = [
 
 [[package]]
 name = "nvidia-cudnn-cu12"
-version = "8.9.2.26"
+version = "9.1.0.70"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [package.dependencies]
@@ -1740,12 +1643,13 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.19.3"
+version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 files = [
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+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
 ]
 
 [[package]]
@@ -2089,21 +1993,6 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
-[[package]]
-name = "pluggy"
-version = "1.5.0"
-description = "plugin and hook calling mechanisms for python"
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.extras]
-dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
-
 [[package]]
 name = "psutil"
 version = "5.9.8"
@@ -2419,46 +2308,6 @@ files = [
 [package.dependencies]
 certifi = "*"
 
-[[package]]
-name = "pytest"
-version = "8.3.3"
-description = "pytest: simple powerful testing with Python"
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
-pluggy = ">=1.5,<2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
-
-[[package]]
-name = "pytest-cov"
-version = "5.0.0"
-description = "Pytest plugin for measuring coverage."
-optional = false
-python-versions = ">=3.8"
-files = [
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-
-[package.dependencies]
-coverage = {version = ">=5.2.1", extras = ["toml"]}
-pytest = ">=4.6"
-
-[package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
-
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
@@ -2946,22 +2795,6 @@ pillow = ">=10.4.0,<11.0.0"
 python-dotenv = ">=1.0.1,<2.0.0"
 structlog = ">=24.4.0,<25.0.0"
 
-[[package]]
-name = "samgis-lisa"
-version = "1.0.6"
-description = "SamGIS LISA"
-optional = false
-python-versions = "<3.11,>=3.10"
-files = [
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-
-[package.dependencies]
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-lisa-on-cuda = "1.4.5"
-samgis-web = "1.0.14"
-
 [[package]]
 name = "samgis-web"
 version = "1.0.14"
@@ -3376,17 +3209,6 @@ dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "tomlkit"
 version = "0.12.0"
@@ -3400,36 +3222,31 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.2.0"
+version = "2.4.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -3441,62 +3258,62 @@ nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linu
 nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
 [[package]]
 name = "torchvision"
-version = "0.17.0"
+version = "0.19.0"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-requests = "*"
-torch = "2.2.0"
+torch = "2.4.0"
 
 [package.extras]
+gdown = ["gdown (>=4.7.3)"]
 scipy = ["scipy"]
 
 [[package]]
@@ -3590,17 +3407,16 @@ vision = ["Pillow (<10.0.0)"]
 
 [[package]]
 name = "triton"
-version = "2.2.0"
+version = "3.0.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -3608,8 +3424,8 @@ filelock = "*"
 
 [package.extras]
 build = ["cmake (>=3.20)", "lit"]
-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
-tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typer"
@@ -3927,4 +3743,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "f33caf8767f8e004226b2d061ba62fdafaab1c469edc330509fc4a0d7ec73313"
+content-hash = "db641a2a8efbeb23897cae1d0b6d7cdd9bc98be8d00029daa51a811f78aa6836"

pyproject.toml

@@ -1,27 +1,24 @@
 [tool.poetry]
-name = "samgis-lisa-on-zero"
-version = "1.5.4"
-description = "A VLM backend for machine learning instance segmentation on geospatial data that uses LISA (Reasoning Segmentation via Large Language Model)."
+name = "samgis-lisa"
+version = "1.0.7"
+description = "SamGIS LISA"
 authors = ["alessandro trinca tornidor <alessandro@trinca.tornidor.com>"]
-license = "MIT license"
+license = "MIT"
 readme = "README.md"
-package-mode = false
 
 [metadata]
-name = "samgis-lisa-on-zero"
-version = "1.5.4"
+name = "samgis-lisa"
+version = "1.0.7"
 
-[tool.poetry.dependencies]
-python = ">=3.10,<3.11"
-samgis-lisa = "1.0.6"
 
-[tool.poetry.group.test]
-optional = true
+[tool.poetry.urls]
+Source = "https://gitlab.com/aletrn/samgis_lisa"
 
-[tool.poetry.group.test.dependencies]
-pytest = "^8.2.2"
-pytest-cov = "^5.0.0"
-httpx = "^0.27.0"
+[tool.poetry.dependencies]
+gradio = "4.44.0"
+python = ">=3.10,<3.11"
+samgis-web = "1.0.14"
+lisa-on-cuda = "1.4.7"
 
 [build-system]
 requires = ["poetry-core"]

requirements.txt

@@ -1,2 +1,2 @@
 pip
-samgis-lisa==1.0.6
+samgis-lisa==1.0.7