class_docstr: For each input of dtype float32, inject a ``cast`` op to change it to float16 dtype.
  
  For each output of dtype float16, inject a ``cast`` op to change it back to float32.
  
  This pass is the registered interface for FP16ComputePrecision, which makes it consistent with
  other passes' interfaces.
  
  Support options:
  
  - ``skip_ops_by_type``: Skip op types specified by comma-separated string; for example, ``"mul,const"``.
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code: def skip_ops_by_type(self):
      return self._skip_ops_by_type
  
imports: from abc import abstractmethod
  from enum import Enum
  from typing import Set, Text
  import numpy
  from coremltools.converters.mil._deployment_compatibility import AvailableTarget
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Operation, types
  from coremltools.converters.mil.mil.block import is_current_opset_version_compatible_with
  from coremltools.converters.mil.mil.ops.registry import SSAOpRegistry
  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
  from coremltools.converters.mil.mil.program import Program
  from coremltools.converters.mil.mil.types.symbolic import is_symbolic
label_desc: Use image node_id 1 for calling the add_fp16_cast obj's underlying member method code with example usage: obj.skip_ops_by_type() and returns: self