code: def consec(shape, start=1):
      return Tensor(np.arange(math.prod(shape)).reshape(shape) + start)
  
imports: import math, unittest, random, copy
  import numpy
  from tinygrad import Tensor, dtypes, Device
  from tinygrad.lazy import LazyBuffer
  from tinygrad.shape.shapetracker import ShapeTracker
  from tinygrad.shape.view import View
  from tinygrad.helpers import CI
label_desc: Use image node_id 2 for calling a global function with example usage: consec(shape, start) and returns: Tensor