{
  "channels": [
    "https://repo.anaconda.com/pkgs/main"
  ],
  "conda_build_version": "3.22.0",
  "conda_private": false,
  "conda_version": "4.14.0",
  "description": "Open Neural Network Exchange (ONNX) is the first step toward an open\necosystem that empowers AI developers to choose the right tools as their\nproject evolves. ONNX provides an open source format for AI models. It\ndefines an extensible computation graph model, as well as definitions of\nbuilt-in operators and standard data types. Initially we focus on the\ncapabilities needed for inferencing (evaluation).\n",
  "dev_url": "https://github.com/onnx/onnx",
  "doc_url": "https://github.com/onnx/onnx/blob/main/README.md",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "flow_run_id": "4c014c98-b4e0-4b5f-a7c7-dfc8195f0988",
    "recipe-maintainers": [
      "ezyang",
      "marcelotrevisani",
      "xhochy"
    ],
    "remote_url": "git@github.com:AnacondaRecipes/onnx-feedstock.git",
    "sha": "6fbd607f13a6a92235f3a1f6834c010789894451"
  },
  "home": "https://onnx.ai",
  "identifiers": [],
  "keywords": [],
  "license": "MIT",
  "license_family": "MIT",
  "license_file": "LICENSE",
  "root_pkgs": [
    "_libgcc_mutex 0.1 main",
    "brotlipy 0.7.0 py39h27cfd23_1003",
    "charset-normalizer 2.0.4 pyhd3eb1b0_0",
    "idna 3.3 pyhd3eb1b0_0",
    "libffi 3.3 he6710b0_2",
    "pycosat 0.6.3 py39h27cfd23_0",
    "pycparser 2.21 pyhd3eb1b0_0",
    "pyopenssl 22.0.0 pyhd3eb1b0_0",
    "pysocks 1.7.1 py39h06a4308_0",
    "readline 8.1.2 h7f8727e_1",
    "ruamel_yaml 0.15.100 py39h27cfd23_0",
    "six 1.16.0 pyhd3eb1b0_1",
    "wheel 0.37.1 pyhd3eb1b0_0",
    "yaml 0.2.5 h7b6447c_0",
    "_openmp_mutex 5.1 1_gnu",
    "beautifulsoup4 4.11.1 py39h06a4308_0",
    "bzip2 1.0.8 h7b6447c_0",
    "ca-certificates 2022.07.19 h06a4308_0",
    "certifi 2022.9.14 py39h06a4308_0",
    "cffi 1.15.1 py39h74dc2b5_0",
    "chardet 4.0.0 py39h06a4308_1003",
    "conda 4.14.0 py39h06a4308_0",
    "conda-build 3.22.0 py39h06a4308_0",
    "conda-package-handling 1.9.0 py39h5eee18b_0",
    "cryptography 37.0.1 py39h9ce1e76_0",
    "cytoolz 0.11.0 py39h27cfd23_0",
    "filelock 3.6.0 pyhd3eb1b0_0",
    "glob2 0.7 pyhd3eb1b0_0",
    "icu 58.2 he6710b0_3",
    "jinja2 2.11.3 pyhd3eb1b0_0",
    "ld_impl_linux-64 2.38 h1181459_1",
    "libarchive 3.6.1 hab531cd_0",
    "libgcc-ng 11.2.0 h1234567_1",
    "libgomp 11.2.0 h1234567_1",
    "liblief 0.11.5 h295c915_1",
    "libstdcxx-ng 11.2.0 h1234567_1",
    "libxml2 2.9.14 h74e7548_0",
    "lz4-c 1.9.3 h295c915_1",
    "markupsafe 2.0.1 py39h27cfd23_0",
    "ncurses 6.3 h5eee18b_3",
    "openssl 1.1.1q h7f8727e_0",
    "patch 2.7.6 h7b6447c_1001",
    "patchelf 0.13 h295c915_0",
    "pip 22.1.2 py39h06a4308_0",
    "pkginfo 1.8.2 pyhd3eb1b0_0",
    "psutil 5.9.0 py39h5eee18b_0",
    "py-lief 0.11.5 py39h295c915_1",
    "python 3.9.13 haa1d7c7_1",
    "python-libarchive-c 2.9 pyhd3eb1b0_1",
    "pytz 2022.1 py39h06a4308_0",
    "pyyaml 6.0 py39h7f8727e_1",
    "requests 2.28.1 py39h06a4308_0",
    "ripgrep 13.0.0 hbdeaff8_0",
    "setuptools 63.4.1 py39h06a4308_0",
    "soupsieve 2.3.1 pyhd3eb1b0_0",
    "sqlite 3.39.2 h5082296_0",
    "tk 8.6.12 h1ccaba5_0",
    "toml 0.10.2 pyhd3eb1b0_0",
    "toolz 0.11.2 pyhd3eb1b0_0",
    "tqdm 4.64.0 py39h06a4308_0",
    "tzdata 2022c h04d1e81_0",
    "urllib3 1.26.11 py39h06a4308_0",
    "xz 5.2.5 h7f8727e_1",
    "zlib 1.2.12 h5eee18b_3",
    "zstd 1.5.2 ha4553b6_0"
  ],
  "summary": "Open Neural Network Exchange library",
  "tags": []
}