# This file created by conda-build 3.23.3
# meta.yaml template originally from:
# C:\b\abs_c6b1im1ylh\clone\recipe, last modified Wed Feb  1 20:54:12 2023
# ------------------------------------------------

package:
  name: onnx
  version: 1.13.0
source:
  sha256: 66eb61fc0ff4b6189816eb8e4da52e1e6775a1c29f372cbd08b694aa5b4ca978
  url: https://github.com/onnx/onnx/archive/v1.13.0.tar.gz
build:
  entry_points:
    - backend-test-tools = onnx.backend.test.cmd_tools:main
    - check-model = onnx.bin.checker:check_model
    - check-node = onnx.bin.checker:check_node
  number: '0'
  string: py37h9724e47_0
requirements:
  build:
    - bzip2 1.0.8 he774522_0
    - cmake 3.22.1 h9ad04ae_0
    - libprotobuf 3.20.3 h23ce68f_0
    - libuv 1.40.0 he774522_0
    - lz4-c 1.9.4 h2bbff1b_0
    - vc 14.2 h21ff451_1
    - vs2015_runtime 14.27.29016 h5e58377_2
    - vs2017_win-64 19.16.27032.1 hb4161e2_3
    - vswhere 2.8.4 haa95532_0
    - xz 5.2.10 h8cc25b3_1
    - zlib 1.2.13 h8cc25b3_0
    - zstd 1.5.2 h19a0ad4_0
  host:
    - atomicwrites 1.4.0 py_0
    - attrs 22.1.0 py37haa95532_0
    - blas 1.0 mkl
    - ca-certificates 2023.01.10 haa95532_0
    - certifi 2022.12.7 py37haa95532_0
    - colorama 0.4.6 py37haa95532_0
    - flit-core 3.6.0 pyhd3eb1b0_0
    - icc_rt 2022.1.0 h6049295_2
    - importlib-metadata 4.11.3 py37haa95532_0
    - importlib_metadata 4.11.3 hd3eb1b0_0
    - iniconfig 1.1.1 pyhd3eb1b0_0
    - intel-openmp 2021.4.0 haa95532_3556
    - libprotobuf 3.20.3 h23ce68f_0
    - mkl 2021.4.0 haa95532_640
    - mkl-service 2.4.0 py37h2bbff1b_0
    - mkl_fft 1.3.1 py37h277e83a_0
    - mkl_random 1.2.2 py37hf11a4ad_0
    - numpy 1.19.2 py37ha4e8547_1
    - numpy-base 1.19.2 py37h5bb6eb2_1
    - openssl 1.1.1s h2bbff1b_0
    - packaging 22.0 py37haa95532_0
    - pip 22.3.1 py37haa95532_0
    - pluggy 1.0.0 py37haa95532_1
    - protobuf 3.20.3 py37hd77b12b_0
    - py 1.11.0 pyhd3eb1b0_0
    - pybind11 2.9.2 py37h757b272_0
    - pytest 7.1.2 py37haa95532_0
    - pytest-runner 4.4 py_0
    - python 3.7.16 h6244533_0
    - setuptools 65.6.3 py37haa95532_0
    - six 1.16.0 pyhd3eb1b0_1
    - sqlite 3.40.1 h2bbff1b_0
    - tomli 2.0.1 py37haa95532_0
    - typing_extensions 4.4.0 py37haa95532_0
    - vc 14.2 h21ff451_1
    - vs2015_runtime 14.27.29016 h5e58377_2
    - wheel 0.37.1 pyhd3eb1b0_0
    - wincertstore 0.2 py37haa95532_2
    - zipp 3.11.0 py37haa95532_0
    - zlib 1.2.13 h8cc25b3_0
  run:
    - libprotobuf >=3.20.3,<3.21.0a0
    - libprotobuf >=3.20.3,<4.0a0
    - numpy >=1.19.2,<2.0a0
    - protobuf >=3.20.2,<4
    - python >=3.7,<3.8.0a0
    - typing-extensions >=3.6.2.1
    - vc >=14.1,<15.0a0
    - vs2015_runtime >=14.16.27012,<15.0a0
test:
  commands:
    - pip check
    - check-model --help
    - check-node --help
    - backend-test-tools --help
  imports:
    - onnx
  requires:
    - pip
about:
  description: 'Open Neural Network Exchange (ONNX) is the first step toward an open

    ecosystem that empowers AI developers to choose the right tools as their

    project evolves. ONNX provides an open source format for AI models. It

    defines an extensible computation graph model, as well as definitions of

    built-in operators and standard data types. Initially we focus on the

    capabilities needed for inferencing (evaluation).

    '
  dev_url: https://github.com/onnx/onnx
  doc_url: https://github.com/onnx/onnx/blob/main/README.md
  home: https://onnx.ai
  license: MIT
  license_family: MIT
  license_file: LICENSE
  summary: Open Neural Network Exchange library
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: c6ff034b-0332-401d-b893-51c51ce8594b
  recipe-maintainers:
    - ezyang
    - marcelotrevisani
    - xhochy
  remote_url: git@github.com:AnacondaRecipes/onnx-feedstock.git
  sha: 6fbd607f13a6a92235f3a1f6834c010789894451
