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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def linear_interpolate(tensor1, tensor2, coeffs):
 """Linearly interpolate between two tensors at coeff. Args: tensor1: 4-D Tensor, shape=(NHWC) tensor2: 4-D Tensor, shape=(NHWC) coeffs: list of floats. Returns: interp_latents: 5-D Tensor, with interp_latents[i] representing interpolations at coeffs[i]. shape=(len(coeffs), NHWC) """

  interp_tensors = []
  for coeff in coeffs:
    interp_tensor = tensor1 + coeff * (tensor2 - tensor1)
    interp_tensors.append(interp_tensor)
  return tf.concat(interp_tensors, axis=0)