code: def run_rearrange_operators_benchmarks(
      ctx=mx.cpu(),
      dtype="float32",
      profiler="native",
      int64_tensor="off",
      warmup=25,
      runs=100,
  ):
      """Runs benchmarks with the given context and precision (dtype) for all the
      rearrange operators in MXNet.
  
      Parameters
      ----------
      ctx: mx.ctx
          Context to run benchmarks
      dtype: str, default 'float32'
          Precision to use for benchmarks
      profiler: str, default 'native'
          Type of Profiler to use (native/python)
      int64_tensor: str, default 'off'
          Input tensor size to use for tests (if on, dimensions >= 2**32)
      warmup: int, default 25
          Number of times to run for warmup
      runs: int, default 100
          Number of runs to capture benchmark results
  
      Returns
      -------
      Dictionary of results. Key -> Name of the operator, Value -> Benchmark results.
  
      """
      # Fetch all array rearrange operators
      mx_rearrange_ops = get_all_rearrange_operators()
  
      # Run benchmarks
      mx_rearrange_op_results = run_op_benchmarks(
          mx_rearrange_ops,
          dtype,
          ctx,
          profiler,
          int64_tensor,
          warmup,
          runs,
      )
      return mx_rearrange_op_results
  
file_path: mxnet/benchmark/opperf/nd_operations/array_manipulation_operators.py
imports: import mxnet
  from mxnet import nd
  from benchmark.opperf.utils.benchmark_utils import run_performance_test
  from benchmark.opperf.utils.common_utils import merge_map_list
  from benchmark.opperf.rules.default_params import MX_OP_MODULE
  from benchmark.opperf.utils.benchmark_utils import run_op_benchmarks
  from benchmark.opperf.utils.op_registry_utils import get_all_rearrange_operators, get_all_shape_operators, get_all_expanding_operators, get_all_rounding_operators
label_desc: Use image node_id 1 for calling a global function with example usage: run_rearrange_operators_benchmarks(ctx, dtype, profiler, int64_tensor, warmup, runs) and returns: mx_rearrange_op_results