class_docstr: Map Torch dialect ops `torch_tensor_assign` into core opset.
  
  Currently, we transform the torch_tensor_assign op using mb.scatter.
code: def apply(self, prog):
      for f in prog.functions.values():
          _torch_tensor_assign_to_core_block(f)
  
file_path: coremltools/coremltools/converters/mil/frontend/torch/ssa_passes/torch_tensor_assign_to_core.py
imports: from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil.passes.graph_pass import AbstractGraphPass
  from coremltools.converters.mil.mil.passes.helper import block_context_manager
  from coremltools.converters.mil.mil.passes.pass_registry import register_pass
label_desc: Use image node_id 1 for calling the torch_tensor_assign_to_core obj's underlying member method code with example usage: obj.apply(prog) without return types