build-scan-trans-dependencies.png...

    - [Bug or Regression](#bug-or-regression-15)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake-7)
  - [Dependencies](#dependencies-16)
    - [Added](#added-16)
    - [Changed](#changed-16)
    - [Removed](#removed-16)
  - [Dependencies](#dependencies-17)
    - [Added](#added-17)
    - [Changed](#changed-17)
    - [Removed](#removed-17)
- [v1.19.0-rc.4](#v1190-rc4)

    *   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)

                }
              }
            }
          }
          input_signature {
            tuple_value {
            }
          }
        }
      }
      dependencies {
        node_id: 3
        local_name: "trace_0"
      }
    }
    nodes {
      children {
        node_id: 4
        local_name: "serving_default"
      }
      user_object {

  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,