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