},
          "operations": {
            "description": "Operations is the operations the admission hook cares about - CREATE, UPDATE, DELETE, CONNECT or * for all of those operations and any future admission operations that are added. If '*' is present, the length of the slice must be one. Required.",
            "items": {
              "default": "",
              "type": "string"
            },

          },
          "operations": {
            "description": "Operations is the operations the admission hook cares about - CREATE, UPDATE, DELETE, CONNECT or * for all of those operations and any future admission operations that are added. If '*' is present, the length of the slice must be one. Required.",
            "items": {
              "default": "",
              "type": "string"
            },

          "Operation '", op.node.DebugString(), "' was changed by ",
          mutation_type,
          " after it was run by a session. This mutation will have no effect, "
          "and will trigger an error in the future. Either don't modify "
          "nodes after running them or create a new session.");
    }
  }
}

namespace {

// Helper method that creates a shape handle for a shape described by dims.

// queues), so it is not possible to compute global predicates on fast paths;
// (2) for optimal thread management we would need to know the future (don't park
// a worker thread when a new goroutine will be readied in near future).
//
// Three rejected approaches that would work badly:
// 1. Centralize all scheduler state (would inhibit scalability).

    sink.writeUtf8(content)
    sink.close()
  }

  /**
   * @param delta the offset from the current date to use. Negative values yield dates in the past;
   * positive values yield dates in the future.
   */
  private fun formatDate(
    delta: Long,
    timeUnit: TimeUnit,
  ): String {
    return formatDate(Date(System.currentTimeMillis() + timeUnit.toMillis(delta)))
  }

	}{
		{
			name:                    "unset",
			deletionTimestamp:       nil,
			expectDeletionTimestamp: newTimePointer(now),
		},
		{
			name:                    "set to future",
			deletionTimestamp:       newTimePointer(soon),
			expectDeletionTimestamp: newTimePointer(now),
		},
		{
			name:                    "set to past",
			deletionTimestamp:       newTimePointer(past),

            "type": "string"
          },
          "verbs": {

            "type": "string"
          },
          "verbs": {

            "type": "string"
          },
          "verbs": {

  let description = [{
    This pass is performing fusion specific to GPU targets. This is an ad-hoc
    pass for now, but should be integrated with some notion of "target" in the
    MLIR pipeline in the future.
  }];
  let constructor = "TF::CreateGpuOpFusionPass()";
}

def BatchMatMulToEinsumPass : Pass<"tf-batch-matmul-to-tf-einsum", "mlir::func::FuncOp"> {
  let summary = "Replace TF BatchMatMul op by TF Einsum op.";