o i*+@sddlZddlZddlZddlZddlZddlZddlmZmZddl Z gdZ dZ Gdddej Z GdddejZd e d eeeffd d Zhd Zdeeefd e fddZdS)N)AnyDict) AOBaseConfigconfig_from_dictconfig_to_dictALLOWED_AO_MODULESc@s eZdZUdZ eZeed<dS)ra If a workflow config inherits from this then `quantize_` knows how to a apply it to a model. For example:: # user facing code class WorkflowFooConfig(AOBaseConfig): ... # configuration for workflow `Foo` is defined here bar = 'baz' # non user facing code @register_quantize_module_handler(WorkflowFooConfig) def _transform( mod: torch.nn.Module, config: WorkflowFooConfig, ) -> torch.nn.Module: # the transform is implemented here, usually a tensor sublass # weight swap or a module swap ... # then, the user calls `quantize_` with a config, and `_transform` is called # under the hood by `quantize_. versionN)__name__ __module__ __qualname____doc___DEFAULT_VERSIONr int__annotations__rrG/home/ubuntu/.local/lib/python3.10/site-packages/torchao/core/config.pyrs rcs(eZdZdZfddZddZZS)ConfigJSONEncoderz,Custom JSON encoder for AOBaseConfig objectscst|tr-i}|jD]\}}|ds |dkr |||<q |jjt|dt |dSt |drRt |drR| }fdd|D}|jjt|dt |dSt |rt|tsi}t |D]}|jdkrvt||j||j<qc|jjt|dt |dSt |dr|jd krt|trd t|d d d St |drd|jjvr|jjfdd|jDd St|tjr|jj|jd St|tjrd t|d d d St|trfdd|DSt|trtd|t|trfdd|DSt|S)N_r )_type_version_data_fields_asdictci|] \}}||qSr encode_value.0kvselfrr `z-ConfigJSONEncoder.default..r torch torch.dtype.rr __class__Layoutcs&i|]\}}|ds||qS)r) startswithrrr!rrr#s  csg|]}|qSrrritemr!rr sz-ConfigJSONEncoder.default..iTuples will be serialized as List in JSON, so we recommend to use Lists instead to avoid surprises. got: crrrrr!rrr#r$) isinstancer__dict__itemsr,rr*r getattrrhasattrr dataclasses is_dataclasstypefieldsnamer strsplitenumEnumr%dtypelisttupleNotImplementedErrordictsuperdefault)r"o data_dictrr asdict_dataprocessed_datafr*r!rrEIsh             zConfigJSONEncoder.defaultcCs&z||}|WStyY|Sw)z+Helper method to recursively encode a value)rE TypeError)r"valueresultrrrrs  zConfigJSONEncoder.encode_value)r r r r rEr __classcell__rrrKrrFs UrconfigreturncCs0t|tstdt|ttj|tdS)z Convert an AOBaseConfig instance to a dictionary suitable for serialization. Args: config: An instance of AOBaseConfig subclass Returns: Dict representation of the config z$Expected AOBaseConfig instance, got )cls)r1rrLr8jsonloadsdumpsr)rPrrrrs r> torchao.dtypestorchao.quantizationtorchao.prototype.awqtorchao.prototype.parqtorchao.sparsity.sparse_apitorchao.prototype.mx_formatstorchao.prototype.parq.quanttorchao.prototype.smoothquanttorchao.prototype.quantization%torchao.quantization.quantize_.common(torchao.quantization.quantize_.workflowsdatac Cs&t|tstdt|d|vsd|vrtd|d}|dt}|d}|dkr5ddl}t||Sd}t D]}z t |}t||}Wn t t fySYq9w|durgd t }td |d |t|d t} || kr}td |d| dt|tst|tjrt||Sz||WS|YS|| krd |i} ni} |D]H\} } t| trd| vrd| vrt| | | <qt| trdd| D| | <qt| trtd| t| trdd| D| | <q| | | <qz|di| WSty} z td|jd| d} ~ ww)a" Create an AOBaseConfig subclass instance from a dictionary. Args: data: Dictionary containing serialized config data Returns: An instance of the appropriate AOBaseConfig subclass Raises: ValueError: If deserialization fails for other reasons zExpected dictionary, got rrz;Input dictionary missing required '_type' or '_data' fieldsrr&rNz, zFailed to find class z in any of the allowed modules: r zXStored version is not the same as current default version of the config: stored_version=z, current_default_version=z&, please check the deprecation warningcSs2g|]}t|trd|vrd|vrt|n|qSr)r1rCrr-rrrr/sz$config_from_dict..r0cSs8i|]\}}|t|trd|vrd|vrt|n|qSr)rbrrrrr#&sz$config_from_dict..zFailed to create instance of z: r)r1rCrLr8 ValueErrorgetrr%r4r importlib import_module ImportErrorAttributeErrorjoinwarningswarn issubclassr=r>r3rr@rArB Exceptionr )ra type_pathstored_versionobj_datar%rR module_pathmoduleallowed_modules_strcurrent_default_versionrIkeyrMerrrrs~                r)abcr6r=rerSrjtypingrrr%__all__rABCr JSONEncoderrr;rrrrrrrs+h