if !sufficientCapacity {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, AdminError{
			Code:       "XMinioSpeedtestInsufficientCapacity",
			Message:    capacityErrMsg,
			StatusCode: http.StatusInsufficientStorage,
		}), r.URL)
		return
	}

	if autotune && !canAutotune {
		autotune = false
	}

	if customBucket == "" {

        behavior, set `inject_prefetch=True` in
        `tf.data.experimental.OptimizationOptions`.
    *   Added a new value to `tf.data.Options.autotune.autotune_algorithm`:
        `STAGE_BASED`. If the autotune algorithm is set to `STAGE_BASED`, then
        it runs a new algorithm that can get the same performance with lower
        CPU/memory usage.
    *   Added