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).
| Uploaded | Mon Mar 31 00:31:31 2025 |
| md5 checksum | 73e6c796c870a4781791fbb8ab7df8dd |
| arch | x86_64 |
| build | py39h6736146_1 |
| build_number | 1 |
| depends | libgcc-ng >=11.2.0, libprotobuf >=3.20.1,<3.21.0a0, libprotobuf >=3.20.1,<4.0a0, libstdcxx-ng >=11.2.0, numpy >=1.16.6,<2.0a0, protobuf, python >=3.9,<3.10.0a0, six, typing-extensions >=3.6.2.1 |
| license | MIT |
| license_family | MIT |
| md5 | 73e6c796c870a4781791fbb8ab7df8dd |
| name | onnx |
| platform | linux |
| sha1 | 0e0059e73d9212d99dd592e84d806f1400e098d6 |
| sha256 | d67dbce833cec001a9ca4fe7ff1766a1923d662a8356d32fc7cafc1356593b24 |
| size | 7955574 |
| subdir | linux-64 |
| timestamp | 1672850752083 |
| version | 1.12.0 |