$MSL2  ° ” | <0$subgraph_0_third_party@däøÿÿ+$out_0Ìøÿÿ  %°,ThirdPartyModel4ùÿÿxIMODxge_default3.51.z.0†)$$8 ge_default3.51.z.0:À ge_default" input.1:0* Node_Output:02„ input.1Data*R inferred_formatR versionR index Š  "NCHWHP€rNPU’  "NCHWHP rNPU€2 conv.biasConstR inferred_formatR versionR8 value/b- + "NCHW* merged_offsetHXrNPU ¨’ "NCHWHrNPU2— conv.weightConstR versionR inferred_formatR; value2b0 . "NCHW* merged_offsetHX6rNPU ¨’ "NCHWHrNPU2Ò /conv/Conv Convolution* input.1:0* conv.weight:0* conv.bias:0*R inferred_formatR offset_xR pad_mode SPECIFICR is_input_const * R relu_flag(R2 original_op_names  /conv/Conv /relu/Relu R pads  R dilations  R versionR data_formatNCHWR strides  R groups ¨‚Š  "NCHWHP rNPU€Š "NCHWHrNPUŠ "NCHWHrNPU’  "NCHWHrNPU2• Node_Output NetOutput* /conv/Conv:0R inferred_format ¨º /relu/Relu /relu/ReluÊŠ  "NCHWHrNPU’  "NCHWHrNPUZ original_op_name_list  Z use_origin_format(Z weight_merged(Z ir_infershaped(Z hiai_versionirZ event_numZ memory_sizeZ stream_numZ weight_size½1Ä(ë5%i¨+0Ê$¦þ (¨©Î­7® ,…±1/Ù)Á-ç)’¡!°o*Ǩç°)°â0º+e®x +(in_0  \(¿ ThirdPartyModelCustomMindSpore Lite 1.8.1