code: def _project_tensor_slices(tensor_slices, projections):
      slices = []
  
      for t, p in zip(tensor_slices, projections):
          slices.append(T.dot(T.transpose(p), t))
  
      return tl.stack(slices)
  
imports: from warnings import warn
  from typing import Iterable
  import tensorly
  from ._base_decomposition import DecompositionMixin
  from tensorly.random import random_parafac2
  from tensorly import backend
  from .None import parafac, non_negative_parafac_hals
  from ..parafac2_tensor import Parafac2Tensor, _validate_parafac2_tensor
  from ..cp_tensor import CPTensor, cp_normalize
  from ..tenalg.svd import svd_interface
label_desc: Use image node_id 3 for calling a global function with example usage: _project_tensor_slices(tensor_slices, projections) and returns: tl