cann504alpha5infer
- ATC模型转换
- 前言
- 学习向导
- 环境搭建
- 快速入门
- ATC简介
- 初级功能
- 高级功能
- 参数说明
- 定制网络专题
- 参考
- 算子规格参考
- 错误码参考
- Command Line Errors
- E10001 Invalid Argument
- E10002 Invalid --input_shape Argument
- E10003 Invalid Argument
- E10004 Invalid Argument
- E10005 Invalid Argument
- E10006 Invalid Argument
- E10007 Invalid Required Argument
- E10008 Invalid Argument
- E10009 Invalid Dynamic Shape Argument
- E10010 Invalid --log Argument
- E10011 Invalid --input_shape Argument
- E10012 Invalid --input_shape Argument
- E10013 Invalid Argument
- E10014 Invalid Argument
- E10015 Invalid Argument
- E10016 Invalid Argument, Node Not Found
- E10017 Invalid Argument, Node Not Found
- E10018 Invalid Dynamic Shape Argument
- E10019 Invalid --input_shape Argument
- E10020 Invalid --dynamic_image_size Argument
- E10021 Invalid Argument
- E10022 Invalid Argument
- E10023 Invalid --singleop Argument
- E10024 Invalid --singleop Argument
- E10025 Invalid --singleop Argument
- E10026 Invalid --singleop Argument
- E10027 Invalid --singleop Argument
- E10029 Invalid --singleop Argument
- E10030 Invalid --singleop Argument
- E10031 Invalid --input_shape Argument
- E10034 Invalid --input_fp16_nodes Argument
- E10035 Invalid Dynamic Shape Argument
- E10036 Invalid Dynamic Shape Argument
- E10037 Invalid Dynamic Shape Argument
- E10038 Invalid Dynamic Shape Argument
- E10039 Invalid Dynamic Shape Argument
- E10040 Invalid --input_shape Argument
- E10041 Invalid --framework or --model Argument
- E10045 Invalid Dynamic Shape Argument
- E10046 Invalid Dynamic Shape Argument
- E10047 Invalid Argument
- E10048 Invalid --input_shape_range Argument
- E10049 Invalid --input_shape_range Argument
- E10050 Invalid --input_shape_range Argument
- E10052 Invalid AIPP Configuration
- E10410 Invalid Argument
- E11001 Caffe Model Data Error
- E11002 Caffe Model Data Error
- E11003 Caffe Model Data Error
- E11004 Caffe Model Data Error
- E11005 Invalid --input_shape Argument
- E11008 Caffe Model Data Error
- E11009 Unsupported Caffe Operator
- E11012 Caffe Model Data Error
- E11014 Caffe Model Data Error
- E11015 Caffe Model Data Error
- E11016 Invalid --out_node Argument
- E11017 Invalid --out_node Argument
- E11018 Caffe Model Data Error
- E11021 Caffe Model Data Error
- E11022 Caffe Model Data Error
- E11023 Caffe Model Data Error
- E11024 Caffe Model Data Error
- E11027 Caffe Model Data Error
- E11029 Caffe Model Data Error
- E11032 Caffe File Error
- E11033 The Caffe weight file is invalid.
- E11035 Caffe Model Data Error
- E11036 Caffe Model Data Error
- E11037 Caffe Model Data Error
- E12009 TensorFlow Model Data Error
- E12010 TensorFlow Model Data Error
- E12013 TensorFlow Model Data Error
- E12029 TensorFlow Model Data Error
- E16001 ONNX Model Data Error
- E16002 ONNX Model Data Error
- E16004 ONNX Model Data Error
- E16005 ONNX Model Data Error
- E20100 Invalid GE Initialization Argument
- E20101 Invalid GE Initialization Argument
- E20102 Invalid GE Initialization Argument
- E20103 Invalid Platform Initialization Argument
- W21000 Empty Path
- E21001 Failure to Open File
- E21002 Failure to Read File
- E21003 Empty Path
- W40001 Invalid Path
- W40002 Failure to Create Directory
- E40000 Failure to Import te.platform.log_util
- E40001 Failure to Import Python Module
- E40002 Failure to Call Python Function
- E40003 Failure to Import Auto Tiling Manager of Python Module
- E40004 Failure to Import RL Tiling Manager of Python Module
- E40008 Failure to Import Python Module
- E40010 Invalid Auto Tune Mode
- E40011 Invalid Argument
- EE1000 Invalid SoC Version
- E76002 ONNX Model Data Error
- Resource Errors
- Invalid Argument
- E10051 Invalid --job_id Argument
- E10401 Invalid Operator Input Count
- E10402 Invalid Input Buffer Allocation for Operator Execution
- E10403 Invalid Operator Output Count
- E10404 Invalid Output Buffer Allocation for Operator Execution
- E10405 Inconsistent Input Buffer Count and Input Tensor Count for Operator Execution
- E10406 Inconsistent Output Buffer Count and Output Tensor Count for Operator Execution
- E14001 Invalid Argument for Operator Compilation
- E19009 Operator Name Conflict
- E19014 Operator Data Verification Failure
- E19018 Failure to Parse File
- E19025 Input Tensor Error
- System Support Errors
- Configuration Errors
- File Errors
- Invalid Path Name
- Minor Error
- ACL API Errors
- Environment Errors
- E30000 Invalid Configuration File
- E30001 Invalid Configuration File
- E30002 Invalid Configuration File
- EE2000 Device Error
- EE2001 Failure to Allocate Memory
- EE3001 Driver Failure
- EI0001 Invalid Environment Variable Configuration
- EI0002 SO File Not Found
- EI0004 Invalid Ranktable Configuration
- EI0007 Allocation Failure
- Operator Compilation Errors
- Invalid Operator Arguments
- E20002 Failure to Precompile Op
- E20006 Failure to Calculate Data Edge Size
- E40005 Failure to Execute Function check_supported
- E40006 Failure to Obtain Op Format
- E40007 Failure to Precompile Op
- EI0003 Invalid Collective Communication Op Argument
- EI0005 Inconsistent Collective Communication Arguments Between Ranks
- EI0006 Invalid Collective Communication Allocation
- Fusion Pass Errors
- Task Generation Errors
- TBE Compiler Errors
- Task Schedule Execution Errors
- Default Error
- Command Line Errors
- 一键收集故障信息
- 开启Cast算子自动插入特性
- FAQ
- 开发环境架构为Arm(aarch64),模型转换耗时较长
- 使用AIPP色域转换模型时如何判断视频流的格式标准
- 目标模型中包含算子原型库未注册的算子
- 目标模型中因为未找到算子归属引擎导致转换失败
- 缺省input_shape参数导致转换失败
- out_nodes参数指定的输出节点不存在
- out_nodes参数输入校验失败导致转换失败
- input_fp16_nodes参数指定的节点名字不存在
- 算子infershape失败导致模型转换失败
- 算子找不到算子信息库导致模型转换失败
- insert_op_conf参数文件路径不存在导致转换失败
- insert_op_conf参数指定的aipp配置文件校验失败导致转换失败
- dynamic_image_size或dynamic_batch_size设置分辨率数值过大或档位过多导致运行环境异常缓慢
- 算子信息库中缺少算子
学习向导
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更新时间:2021/12/29 GMT+08:00
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