o toih @s>ddlmZddlmZddlZddlmZmZd d d ZdS)) annotations)AnyN) ModelProtoValueInfoProtomodelr input_dimsdict[str, list[Any]] output_dimsreturnc stddd}||jj||jj||jjdfdd }|jjD]}|j}||}t|D] \}} ||| ||q5q(|jjD]} | j} || } t| D] \}} || | || qSqFtj ||S)aMThis 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) * 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_setset[str] value_infoslist[ValueInfoProto]r NonecSs:|D]}|jjj}|jD] }|dr||jq qdS)N dim_param)type tensor_typeshapedimHasFieldaddr)r r inforrrP/home/ubuntu/.local/lib/python3.10/site-packages/onnx/tools/update_model_dims.pyinit_dim_param_set1s    z6update_inputs_outputs_dims..init_dim_param_settensorrrrjintnamestrc s|jjjj|}t|trN|dkr2|dr-|j|kr-td|d|d|d|jd ||_dS|dt |}|vrItd |d|d ||_ dSt|t rX||_ dSt d t|) Nr dim_valuez!Unable to set dimension value to z for axis z of z'. Contradicts existing dimension value ._z-Unable to generate unique dim_param for axis z,. Please manually provide a dim_param value.z@Only int or str is accepted as dimension value, incorrect type: ) rrrr isinstancerrr ValueErrorrr TypeError)rrrr dim_protogenerated_dim_paramr rr update_dim>s&      z.update_inputs_outputs_dims..update_dimN)r r r rr r) rrrrrrrrr r) setgraphinputoutput value_infor enumerateonnxchecker check_model) rrr rr)input_ input_name input_dim_arrrrr- output_nameoutput_dim_arrrr(rupdate_inputs_outputs_dims s(#     r8)rrrrr rr r) __future__rtypingr onnx.checkerr0rrr8rrrrs