o e @sfddlmZmZmZmZddlmZmZddlZdedee eefdee eefdefdd Z dS) )AnyListDictSet) ModelProtoValueInfoProtoNmodel input_dims output_dimsreturnc stdttdttddfdd}||jj||jj||jjdtdt d t d tddf fd d }|jjD]}|j }||}t |D] \}} ||| ||qIq<|jjD]} | j } || } t | D] \}} || | || qgqZt j||S) a This function updates the dimension sizes of the model's inputs and outputs to the values provided in input_dims and output_dims. if the dim value provided is negative, a unique dim_param will be set for that dimension. Example. if we have the following shape for inputs and outputs: shape(input_1) = ('b', 3, 'w', 'h') shape(input_2) = ('b', 4) and shape(output) = ('b', 'd', 5) The parameters can be provided as: input_dims = { "input_1": ['b', 3, 'w', 'h'], "input_2": ['b', 4], } output_dims = { "output": ['b', -1, 5] } Putting it together: model = onnx.load('model.onnx') updated_model = update_inputs_outputs_dims(model, input_dims, output_dims) onnx.save(updated_model, 'model.onnx') dim_param_set value_infosr NcSs:|D]}|jjj}|jD] }|dr||jq qdS)N dim_param)type tensor_typeshapedimHasFieldaddr)r r inforrrLD:\Projects\ConvertPro\env\Lib\site-packages\onnx/tools/update_model_dims.pyinit_dim_param_set$s    z6update_inputs_outputs_dims..init_dim_param_settensorrjnamecs|jjjj|}t|trD|dkr+|dr&|j|kr&td ||||j||_dS|dt |}|vr?td ||||_ dSt|t rN||_ dStdt|)Nr dim_valuez_Unable to set dimension value to {} for axis {} of {}. Contradicts existing dimension value {}._zaUnable to generate unique dim_param for axis {} of {}. Please manually provide a dim_param value.z@Only int or str is accepted as dimension value, incorrect type: ) rrrr isinstanceintrr ValueErrorformatstrr)rrrrZ dim_protoZgenerated_dim_paramr rr update_dim/s"     z.update_inputs_outputs_dims..update_dim)setrr"rrgraphinputoutputZ value_inforrr enumerateonnxcheckerZ check_model) rr r rr$r'Z input_nameZ input_dim_arrrrr(Z output_nameZoutput_dim_arrrr#rupdate_inputs_outputs_dims s("   r,) typingrrrrr*rrZ onnx.checkerr"r,rrrrs6