# This file created by conda-build 3.22.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Wed Feb  1 20:44:02 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: py37h12ddb61_0
requirements:
  build:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 haa98f57_10
    - binutils_impl_linux-64 2.38 h2a08ee3_1
    - binutils_linux-64 2.38.0 hc2dff05_0
    - bzip2 1.0.8 h7b6447c_0
    - c-ares 1.18.1 h7f8727e_0
    - ca-certificates 2023.01.10 h06a4308_0
    - cmake 3.22.1 h1fce559_0
    - expat 2.4.9 h6a678d5_0
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_0
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_0
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - krb5 1.19.4 h568e23c_0
    - ld_impl_linux-64 2.38 h1181459_1
    - libcurl 7.87.0 h91b91d3_0
    - libedit 3.1.20221030 h5eee18b_0
    - libev 4.33 h7f8727e_1
    - libgcc-devel_linux-64 11.2.0 h1234567_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libnghttp2 1.46.0 hce63b2e_0
    - libprotobuf 3.20.3 he621ea3_0
    - libssh2 1.10.0 h8f2d780_0
    - libstdcxx-devel_linux-64 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuv 1.40.0 h7b6447c_0
    - lz4-c 1.9.4 h6a678d5_0
    - make 4.2.1 h1bed415_1
    - ncurses 6.4 h6a678d5_0
    - openssl 1.1.1s h7f8727e_0
    - rhash 1.4.1 h3c74f83_1
    - sysroot_linux-64 2.17 h57e8cba_10
    - xz 5.2.10 h5eee18b_1
    - zlib 1.2.13 h5eee18b_0
    - zstd 1.5.2 ha4553b6_0
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - attrs 22.1.0 py37h06a4308_0
    - blas 1.0 mkl
    - ca-certificates 2023.01.10 h06a4308_0
    - certifi 2022.12.7 py37h06a4308_0
    - flit-core 3.6.0 pyhd3eb1b0_0
    - importlib-metadata 4.11.3 py37h06a4308_0
    - importlib_metadata 4.11.3 hd3eb1b0_0
    - iniconfig 1.1.1 pyhd3eb1b0_0
    - intel-openmp 2021.4.0 h06a4308_3561
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.2 h6a678d5_6
    - libgcc-ng 11.2.0 h1234567_1
    - libgfortran-ng 11.2.0 h00389a5_1
    - libgfortran5 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libprotobuf 3.20.3 he621ea3_0
    - libstdcxx-ng 11.2.0 h1234567_1
    - mkl 2021.4.0 h06a4308_640
    - mkl-service 2.4.0 py37h7f8727e_0
    - mkl_fft 1.3.1 py37hd3c417c_0
    - mkl_random 1.2.2 py37h51133e4_0
    - ncurses 6.4 h6a678d5_0
    - numpy 1.19.2 py37h7895c89_1
    - numpy-base 1.19.2 py37h4c65ebe_1
    - openssl 1.1.1s h7f8727e_0
    - packaging 22.0 py37h06a4308_0
    - pip 22.3.1 py37h06a4308_0
    - pluggy 1.0.0 py37h06a4308_1
    - protobuf 3.20.3 py37h6a678d5_0
    - py 1.11.0 pyhd3eb1b0_0
    - pybind11 2.9.2 py37h79cecc1_0
    - pytest 7.1.2 py37h06a4308_0
    - pytest-runner 4.4 py_0
    - python 3.7.16 h7a1cb2a_0
    - readline 8.2 h5eee18b_0
    - setuptools 65.6.3 py37h06a4308_0
    - six 1.16.0 pyhd3eb1b0_1
    - sqlite 3.40.1 h5082296_0
    - tk 8.6.12 h1ccaba5_0
    - tomli 2.0.1 py37h06a4308_0
    - typing_extensions 4.4.0 py37h06a4308_0
    - wheel 0.37.1 pyhd3eb1b0_0
    - xz 5.2.10 h5eee18b_1
    - zipp 3.11.0 py37h06a4308_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - libgcc-ng >=11.2.0
    - libprotobuf >=3.20.3,<3.21.0a0
    - libprotobuf >=3.20.3,<4.0a0
    - libstdcxx-ng >=11.2.0
    - numpy >=1.19.2,<2.0a0
    - protobuf >=3.20.2,<4
    - python >=3.7,<3.8.0a0
    - typing-extensions >=3.6.2.1
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: 4c014c98-b4e0-4b5f-a7c7-dfc8195f0988
  recipe-maintainers:
    - ezyang
    - marcelotrevisani
    - xhochy
  remote_url: git@github.com:AnacondaRecipes/onnx-feedstock.git
  sha: 6fbd607f13a6a92235f3a1f6834c010789894451
