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def convert_model(sym, arg_params, aux_params, target_dtype="float16", target_dtype_ops=None,
fp32_ops=None, widest_dtype_ops=None,
conditional_fp32_ops=None, excluded_sym_names=None):
"""API for converting a model from FP32 model to a mixed precision model.
MXNet tries to convert the FP32 model to mixed precision model by adding
cast layers using amp_cast and amp_multicast operators. The decision on
which cast layer to add is based on hardcoded lists for Automatic Mixed Precision
in MXNet. These lists can be overridden by the user by providing their own lists
using : targe_precision_ops, fp32_ops, widest_precision_ops, conditional_fp32_ops

Parameters
----------
sym : str or Symbol
Defines the structure of a neural network for FP32 types.
arg_params : dict
Dictionary of name to `NDArray`.
aux_params : dict
Dictionary of name to `NDArray`.
target_dtype : str
Currently only supports float16. The target dtype indicates to add cast layers
when possible so that lower precision computation can be leveraged.
target_dtype_ops : list of strs
Override the list of operator names casted to target_dtype.
If None, uses the framework's default list to be casted to target dtype.
fp32_ops : list of strs
Override the lists of operator names casted to FP32.
If None, uses the framework's default list to be casted to FP32.
widestconditional_dtypefp32_ops : list of strs
A (string, string, list of op names provided by user which should run in widest precision among its inputs.
If None, uses the framework's default list of widest_precision_ops.
conditional_fp32_ops : list of (string, string, list of string)
Override the list of operatorsstring)
Override the list of operators to be casted to FP32.
The format of the list is
(name of the function, name of the parameter,
list of values of the parameter that make the operator to be casted to FP32.
The format of the list is
(name of the function, name of the parameter,
list of values of the parameter that make the operator to be casted to
fp32)
excluded_sym_names : list of strs
A list of strings that represent the names of symbols that users want to exclude
from being quantized.
"""
fp32)
excluded_sym_names : list of strs
A list of strings that represent the names of symbols that users want to exclude
from being quantized.
"""

def convert_block(block, target_dtype="float16", target_dtype_ops=None,
                  fp32_ops=None, widest_dtype_ops=None, conditional_fp32_ops=None,
                  excluded_sym_names=None, input_names=['data']):
    """Given a hybrid block/symbol block representing a neural network of data type FP32 and target_dtype,
    return a block with mixed precision support

    Parameters
    ----------
    block : HybridBlock or SymbolBlock object
        FP32 HybridBlock or SymbolBlock object
    target_dtype : str or numpy
        currently only supports float16. The target dtype indicates to add cast layers
        when possible so that lower precision computation can be leveraged.
    target_precision_ops : list of strs
        Override the list of operator names casted to target_dtype.
        If None, uses the framework's default list to be casted to target dtype.
    fp32_ops : list of strs
        Override the lists of operator names casted to FP32.
        If None, uses the framework's default list to be casted to FP32.
    widestconditional_precisionfp32_ops : list of (string, string, list of strsstring)
        Override the list of operatorfunctions namescasted whichto shouldFP32.
 run in widest precision among its
  The format of the list is
 input arguments.
      (name of Ifthe Nonefunction, name usesof the framework's default list of widest_precision_ops.
parameter,
       conditional_fp32_ops : list of (string, string, list of string)
        Override the list of functions casted to FP32.values of the parameter that make the operator to be casted to
        fp32)
    excluded_sym_names : list of Thestrs
 format of the list is
        (nameA list of thestrings function, name ofthat represent the parameter,
         listnames of values of the parametersymbols that makeusers the operatorwant to beexclude
 casted to
      from being fp32)quantized.
    excluded_syminput_names : list of strs
        A list of strings that representrepresenting the names of symbols that users want to exclude
        from being quantized.
    input_names : list of strs
        A list of strings representing the names of input variables
	"""

input variables
	"""