//
  // Failures defined by the ValidatingAdmissionPolicy's FailurePolicy are enforced according
  // to these actions only if the FailurePolicy is set to Fail, otherwise the failures are
  // ignored. This includes compilation errors, runtime errors and misconfigurations of the policy.
  //
  // validationActions is declared as a set of action values. Order does
  // not matter. validationActions may not contain duplicates of the same action.

}

// All the *Helper methods are used as a workaround for the restrictions that
// one cannot call ASSERT_* methods in non-void-returning functions (when
// exceptions are disabled during compilation)
void PlaceholderHelper(TF_Graph* graph, TF_Status* s, const char* name,
                       TF_DataType dtype, const std::vector<int64_t>& dims,
                       TF_Operation** op) {

Comme les paramètres sont décrits avec des types TypeScript (similaires aux type hints de Python), la prise en charge
par l'éditeur est assez bonne.

    combination with its Contributor Version (or portions of such
    combination), to make, use, sell, offer for sale, have made, and/or
    otherwise dispose of: (1) Modifications made by that Contributor (or
    portions thereof); and (2) the combination of Modifications made by
    that Contributor with its Contributor Version (or portions of such
    combination).

                    list.add(f.getPath());
                }
            }
        }
        return list;
    }

    /**
     * Returns the elements placed on the classpath for compilation.
     * This method can be invoked when the caller does not support module-path.
     *
     * @throws DependencyResolutionRequiredException if an artifact file is used, but has not been resolved
     *

# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
build:cuda_clang --repo_env=TF_CUDA_COMPUTE_CAPABILITIES="sm_60,sm_70,sm_80,sm_89,compute_90"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
build:cuda_clang_official --config=cuda_clang
build:cuda_clang_official --action_env=TF_CUDA_VERSION="12"
build:cuda_clang_official --action_env=TF_CUDNN_VERSION="8"

    visibility = ["//visibility:public"],
)

config_setting(
    name = "debug",
    values = {
        "compilation_mode": "dbg",
    },
    visibility = ["//visibility:public"],
)

config_setting(
    name = "optimized",
    values = {
        "compilation_mode": "opt",
    },
    visibility = ["//visibility:public"],
)

config_setting(
    name = "arm",

/compiler/frontend.common.jvm/ "Kotlin Compiler Core" Simon.Ogorodnik
/compiler/frontend.common-psi/ "Kotlin Compiler Core" Simon.Ogorodnik
/compiler/frontend.java/ "Kotlin Compiler Core" Simon.Ogorodnik
/compiler/incremental-compilation-impl/ "Kotlin Build Tools"
/compiler/ir/backend.common/ "Kotlin JVM" "Kotlin Native" "Kotlin Wasm" "Kotlin Common Backend"
/compiler/ir/backend.js/ "Kotlin Common Backend"
/compiler/ir/backend.jvm/ "Kotlin JVM"

circumstances: if net is the only cgo-using package, then internal
linking is probably fine, but if other packages are involved, so that there
are dependencies on libraries beyond libc, external linking is likely
to work better. The compilation of a package records the relevant
information to support both linking modes, leaving the decision
to be made when linking the final binary.

Linking Directives

        or "true" allows the debug options passed within an XRTCompile op to be
        passed directly to the XLA compilation backend. If such variable is not
        set (service side), only a restricted set will be passed through.
    *   Allow the XRTCompile op to return the ProgramShape resulted form the XLA
        compilation as a second return argument.
    *   XLA HLO graphs can now be rendered as SVG/HTML.
*   Estimator