*   This dependency affected anyone installing TensorFlow 2.15 alongside
        NVIDIA CUDA dependencies via `pip install tensorflow[and-cuda]`.
    *   Depending on the installation method, TensorFlow 2.14 would be installed
        instead of 2.15, or users could receive an installation error due to
        those missing dependencies.
*   TensorFlow 2.15.0.post1 is being released for Linux x86_64 to resolve this

Class <org.gradle.api.publish.maven.internal.dependencies.MavenDependency> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (MavenDependency.java:0)
Class <org.gradle.api.publish.maven.internal.dependencies.MavenPomDependencies> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (MavenPomDependencies.java:0)

  let summary = [{
Mutually exchanges multiple tensors of identical type and shape.
  }];

  let description = [{
`is_stateless` means each op does not need control dependencies to other
collective ops. In this case, keys that are unique at runtime
(e.g. `instance_key`) should be used to distinguish collective groups.
  }];

  let arguments = (ins
    TF_FpOrI32OrI64Tensor:$input,