underlying implementation must actively reject request attempts to this
                        backend, by rejecting the connection or returning a 500 status code.
                        Request rejections must respect weight; if an invalid backend is
                        requested to have 80% of requests, then 80% of requests must be rejected
                        instead.

                                failures before ejection occurs.
                              maximum: 4294967295
                              minimum: 0
                              nullable: true
                              type: integer
                            interval:
                              description: Time interval between ejection sweep analysis.
                              type: string

                                failures before ejection occurs.
                              maximum: 4294967295
                              minimum: 0
                              nullable: true
                              type: integer
                            interval:
                              description: Time interval between ejection sweep analysis.
                              type: string

                                failures before ejection occurs.
                              nullable: true
                              type: integer
                            interval:
                              description: Time interval between ejection sweep analysis.
                              type: string
                            maxEjectionPercent:

Outputs random values from the Gamma distribution(s) described by alpha.
  }];

  let description = [{
This op uses the algorithm by Marsaglia et al. to acquire samples via
transformation-rejection from pairs of uniform and normal random variables.
See http://dl.acm.org/citation.cfm?id=358414
  }];

  let arguments = (ins

        old API will be deprecated in a future release. See
        https://www.tensorflow.org/xla/custom_call for details.
    *   XLA:GPU reductions are deterministic by default (reductions within
        `jit_compile=True` are now deterministic).
    *   XLA:GPU works with Horovod (OSS contribution by Trent Lo from NVidia)

		{"Info.Defs", Field, 5},
		{"Info.FileVersions", Field, 22},
		{"Info.Implicits", Field, 5},
		{"Info.InitOrder", Field, 5},
		{"Info.Instances", Field, 18},
		{"Info.Scopes", Field, 5},
		{"Info.Selections", Field, 5},
		{"Info.Types", Field, 5},
		{"Info.Uses", Field, 5},
		{"Initializer", Type, 5},
		{"Initializer.Lhs", Field, 5},
		{"Initializer.Rhs", Field, 5},
		{"Instance", Type, 18},

            "format": "int32",
            "type": "integer"
          },
          "sources": {
            "description": "sources is the list of volume projections",
            "items": {
              "allOf": [
                {
                  "$ref": "#/components/schemas/io.k8s.api.core.v1.VolumeProjection"
                }
              ],