code: def position_encode(self, N, D, period=10000, out=None):
      positions = NumpyOps().position_encode(
          N, D, period=period, out=out
      )
      return self.asarray(positions)
  
imports: import numpy
  from ..None import registry
  from ..compat import cupy, cupyx
  from ..types import DeviceTypes
  from ..util import is_cupy_array, is_mxnet_gpu_array, is_tensorflow_gpu_array, is_torch_cuda_array, mxnet2xp, tensorflow2xp, torch2xp
  from .None import _custom_kernels
  from .numpy_ops import NumpyOps
  from .ops import Ops
label_desc: Use image node_id 35 for calling the CupyOps obj's underlying member method code with example usage: obj.position_encode(N, D, period, out) and returns: self