code: def _torch_tensor_assign_to_core_block(block):
      for op in block.operations[:]:
          for b in op.blocks:
              _torch_tensor_assign_to_core_block(b)
  
          if op.op_type in ["torch_tensor_assign"]:
              _transform_tensor_assign(op, block)
  
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 a global function with example usage: _torch_tensor_assign_to_core_block(block) without return types