U T?h@sBddlZddlmZddlZddZddZejjddd ZdS) N)abcc s\fddgd}d}t|D]2\}}|jtjjkr~t|t|D]2}|jd|}|d7}||} ||| 7}qHq"|jtjjks|jtjj ks|jtjj kr |j}d} ||7}d} |t|kr||dk r||} n$||kr||dk r||} d} || } | rV|| 7}q"|jtjj kr"| D]\}} |kr6|| q6q"S)Ncs|dkr dSd}t|tjrJt|D] \}}||d||7}q$|St|tjr|D] \}}||d||7}q^|S|dS)z;Returns number of expanded inputs that _add_input processedNr_) isinstancerSequence enumerateMappingitemsappend)nameinputZnum_expanded_non_none_inputsivalkey _add_input input_namesZ/var/www/html/venv/lib/python3.8/site-packages/onnxruntime/tools/pytorch_export_helpers.pyr s   z1_parse_inputs_for_onnx_export.._add_inputrrrTF) rkindinspect ParameterVAR_POSITIONALrangelenr POSITIONAL_ONLYPOSITIONAL_OR_KEYWORD KEYWORD_ONLY VAR_KEYWORDr ) Zall_input_parametersinputskwargsZvar_positional_idxZ'num_expanded_non_none_positional_inputsZ input_idxZinput_parameterZargs_ir ZinpZ is_positionalZ"num_expanded_non_none_inputs_localrrr_parse_inputs_for_onnx_export sD$       r!csTddddfdd|D}|fdd|D7}sL|it|S)z5Flatten args and kwargs in a single tuple of tensors.cSst|ttthkSN)typeintboolfloatvaluerrris_primitive_type\sz0_flatten_module_input..is_primitive_typecSs t|Sr")torchZtensorr'rrr to_tensor_sz(_flatten_module_input..to_tensorcs g|]}|r|n|qSrr).0arg)r)r+rr bsz)_flatten_module_input..cs4g|],}|kr|r(|n|qSrr)r,r r)r r+rrr.cs)r tuple)namesargsr retrr/r_flatten_module_inputXs r4)modulecOs2t|jj}t|||}t|||}||fS)a Infer the input names and order from the arguments used to execute a PyTorch module for usage exporting the model via torch.onnx.export. Assumes model is on CPU. Use `module.to(torch.device('cpu'))` if it isn't. Example usage: input_names, inputs_as_tuple = infer_input_info(module, ...) torch.onnx.export(module, inputs_as_type, 'model.onnx', input_names=input_names, output_names=[...], ...) :param module: Module :param inputs: Positional inputs :param kwargs: Keyword argument inputs :return: Tuple of ordered input names and input values. These can be used directly with torch.onnx.export as the `input_names` and `inputs` arguments. )r signatureforward parametersvaluesr!r4)r5rr Zmodule_parametersrZinputs_as_tuplerrrinfer_input_infoos  r:) r collectionsrr*r!r4nnModuler:rrrrs  N