onnx/1.20.1

Open standard for machine learning interoperability.

#deep-learning#machine-learning#neural-network

Using onnx

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Packages

Linuxx86_64Release
package IDa408d563fa708a537a100fbeed0b7040b04aaef7
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilergcc
compiler.cppstdgnu17
compiler.version13
optionsdisable_static_registration=True shared=True
Linuxx86_64Release
package IDa71049d89d5fd8ef9a27b8f1d5be803b769b51be
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilergcc
compiler.cppstdgnu17
compiler.version13
optionsdisable_static_registration=True fPIC=True shared=False
Macosarmv8Release
package ID20eeda47e71ec218bac8a6baff9f32521a6c1dec
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsdisable_static_registration=True shared=True
Macosarmv8Release
package ID87ac68102182ba8113334a31be4c6a68ff892582
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsdisable_static_registration=True fPIC=True shared=False
Macosx86_64Release
package ID751b3ec39fefe57187ddd656006972c407b9df95
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsdisable_static_registration=True shared=True
Macosx86_64Release
package IDd6567f1292b9d23486e5d46afbeb5e202cc22d94
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilerapple-clang
compiler.cppstdgnu17
compiler.version17
optionsdisable_static_registration=True fPIC=True shared=False
Windowsx86_64Release
package IDac104bfb6a69cae827cdd63975c9bbba44aa87b6
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease
optionsdisable_static_registration=True
Windowsx86_64Release
package IDf9b0d0f12162c2e15436df0f2afa9b8f3398e4fc
Recipe revisione3633ff60d3a6d42516d9cc00f2d94ac
compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease
optionsdisable_static_registration=True

Dependencies

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✓◈ Apache-2.0e3633ff60d3a6d42516d9cc00f2d94ac
!◈ Apache-2.03a53ca64b0215a026ce75f282d0ee688
!◈ Apache-2.0547a0ab95411e95137088adfc8e12c04
!◈ Apache-2.06e7037d14ae5f04afad6fc7e1919dfaf
!◈ Apache-2.0b2afe58c5c3d85542d1aeef169586f42
!◈ Apache-2.03d99abe1c5ef528dfa2d07e5999fabab
!◈ Apache-2.0f872b5155a56fe07fa1a70bb8cf14e5b
!◈ Apache-2.04426b45770c7a9e35bf2e17399b40f5f
!◈ Apache-2.0be1c511d61791243f06b3e5a518cf3f1
!◈ Apache-2.07f01b83e7b2d6a3b1eb388c2cebf25fc
!◈ Apache-2.08d9585e6857ec75f3784c03b60828c4b
!◈ Apache-2.099da3973303934ded877314a38e42664
!◈ Apache-2.0a10ecbd5e2c95d728464ef0dd6f6470f
!◈ Apache-2.0ad229a72c774021a30e7ee9182f0eaec
!◈ Apache-2.08c62bddd962eaa91f828b429fb0c0420
!◈ Apache-2.05ebf9f34551086ad0bc34b6114f18ec2

🔍 Ready to secure your dependencies in seconds?

  1. Register for free at audit.conan.io/register.
  2. Save your token and activate it via the confirmation email you receive.
  3. Configure Conan to use your token:
    conan audit provider auth conancenter --token=<token>
  4. Scan for vulnerabilities:
    # Check a specific reference
    conan audit list onnx/1.20.1
    # Scan the entire dependency graph
    conan audit scan --requires=onnx/1.20.1

Note: For more details on the Conan Audit command, please read this post.

Tip: To avoid exposing your token in shell history, authenticate using an environment variable (e.g. CONAN_AUDIT_PROVIDER_TOKEN_CONANCENTER=<token>). For more info, see the documentation.

conanv1.20.1
[![Conan Center](https://img.shields.io/conan/v/onnx)](https://conan.io/center/recipes/onnx)