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PaddleLite 示例程序执行时出错 #1843

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unseenme opened this issue Apr 19, 2023 · 2 comments
Open

PaddleLite 示例程序执行时出错 #1843

unseenme opened this issue Apr 19, 2023 · 2 comments

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@unseenme
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文档位于：
https://github.com/PaddlePaddle/Paddle-Lite/blob/develop/docs/demo_guides/opencl.md

环境

  • 【系统平台】: Linux x64(Ubuntu 16.04)

问题一，脚本无法复制库文件

PaddleLite-generic-demo/image_classification_demo/shell$ ./run_with_adb.sh mobilenet_v1_fp32_224 imagenet_224.txt test android arm64-v8a opencl ZY22DVWSK3
Model mobilenet_v1_fp32_224 not found! Try to download it from http://paddlelite-demo.bj.bcebos.com/devices/generic/models/mobilenet_v1_fp32_224.tar.gz ...
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 15.1M  100 15.1M    0     0  6145k      0  0:00:02  0:00:02 --:--:-- 6146k
failed to copy '../../libs/PaddleLite/android/arm64-v8a/lib/libpaddle_full_api_shared.so' to '../../libs/PaddleLite/android/arm64-v8a/lib/libpaddle_light_api_shared.so': secure_mkdirs failed: No such file or directory

经过查找发现文件存在，所以手动重命名 PaddleLite-generic-demo/libs/PaddleLite/android/arm64-v8a/lib/libpaddle_light_api_shared.so.backup 之后，这个问题不再发生

问题二，报错 Unsupported model format!

执行下面命令时报错。

PaddleLite-generic-demo/image_classification_demo/shell$ ./run_with_adb.sh mobilenet_v1_fp32_224 imagenet_224.txt test android arm64-v8a opencl ZY22DVWSK3

具体输出如下。

3984 KB/s (32647424 bytes in 8.001s)
push: ../../libs/PaddleLite/android/arm64-v8a/lib/opencl/libpaddle_light_api_shared.so -> /data/local/tmp/test/libpaddle_light_api_shared.so
push: ../../libs/PaddleLite/android/arm64-v8a/lib/opencl/libpaddle_full_api_shared.so -> /data/local/tmp/test/libpaddle_full_api_shared.so
push: ../../libs/PaddleLite/android/arm64-v8a/lib/opencl/.gitignore -> /data/local/tmp/test/.gitignore
3 files pushed. 0 files skipped.
4125 KB/s (43953042 bytes in 10.404s)
push: ../../libs/PaddleLite/android/arm64-v8a/lib/cpu/libc++_shared.so -> /data/local/tmp/test/libc++_shared.so
push: ../../libs/PaddleLite/android/arm64-v8a/lib/cpu/.gitignore -> /data/local/tmp/test/.gitignore
2 files pushed. 0 files skipped.
3481 KB/s (1055034 bytes in 0.295s)
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_dw_bn_mean -> /data/local/tmp/test/conv3_1_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv6_sep_bn_mean -> /data/local/tmp/test/conv6_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_sep_bn_offset -> /data/local/tmp/test/conv2_1_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_sep_bn_variance -> /data/local/tmp/test/conv5_5_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv1_bn_scale -> /data/local/tmp/test/conv1_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_sep_bn_mean -> /data/local/tmp/test/conv5_6_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_sep_bn_variance -> /data/local/tmp/test/conv5_1_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_dw_weights -> /data/local/tmp/test/conv5_4_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_dw_bn_offset -> /data/local/tmp/test/conv5_1_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_sep_weights -> /data/local/tmp/test/conv2_2_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_dw_bn_scale -> /data/local/tmp/test/conv5_6_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_dw_weights -> /data/local/tmp/test/conv5_2_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_dw_bn_offset -> /data/local/tmp/test/conv5_5_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_sep_bn_scale -> /data/local/tmp/test/conv5_3_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_dw_bn_variance -> /data/local/tmp/test/conv5_4_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv6_dw_bn_variance -> /data/local/tmp/test/conv6_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_sep_weights -> /data/local/tmp/test/conv5_1_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_dw_bn_mean -> /data/local/tmp/test/conv3_2_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv1_bn_mean -> /data/local/tmp/test/conv1_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_sep_weights -> /data/local/tmp/test/conv2_1_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_dw_bn_offset -> /data/local/tmp/test/conv3_2_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_dw_bn_variance -> /data/local/tmp/test/conv3_1_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/fc7_weights -> /data/local/tmp/test/fc7_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_dw_weights -> /data/local/tmp/test/conv5_3_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_dw_bn_scale -> /data/local/tmp/test/conv5_4_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_dw_bn_mean -> /data/local/tmp/test/conv4_1_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_sep_bn_variance -> /data/local/tmp/test/conv3_2_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_sep_bn_mean -> /data/local/tmp/test/conv3_1_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_sep_bn_mean -> /data/local/tmp/test/conv5_5_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_dw_bn_variance -> /data/local/tmp/test/conv2_1_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_sep_bn_scale -> /data/local/tmp/test/conv5_5_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_dw_bn_offset -> /data/local/tmp/test/conv2_1_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_sep_bn_scale -> /data/local/tmp/test/conv2_2_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_sep_bn_scale -> /data/local/tmp/test/conv5_4_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_sep_weights -> /data/local/tmp/test/conv4_2_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_sep_bn_mean -> /data/local/tmp/test/conv5_1_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv6_sep_bn_offset -> /data/local/tmp/test/conv6_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_sep_bn_variance -> /data/local/tmp/test/conv5_6_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_sep_bn_scale -> /data/local/tmp/test/conv5_2_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_dw_bn_mean -> /data/local/tmp/test/conv5_6_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_dw_bn_variance -> /data/local/tmp/test/conv5_5_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_sep_bn_mean -> /data/local/tmp/test/conv2_2_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_dw_bn_offset -> /data/local/tmp/test/conv5_3_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv6_sep_bn_variance -> /data/local/tmp/test/conv6_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_sep_bn_scale -> /data/local/tmp/test/conv5_1_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_sep_bn_scale -> /data/local/tmp/test/conv4_2_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_sep_weights -> /data/local/tmp/test/conv5_2_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_dw_bn_mean -> /data/local/tmp/test/conv5_3_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_dw_bn_scale -> /data/local/tmp/test/conv2_1_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_sep_bn_mean -> /data/local/tmp/test/conv4_1_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_sep_bn_mean -> /data/local/tmp/test/conv5_3_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_dw_bn_mean -> /data/local/tmp/test/conv5_4_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_dw_weights -> /data/local/tmp/test/conv5_5_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_dw_bn_scale -> /data/local/tmp/test/conv3_2_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_sep_bn_offset -> /data/local/tmp/test/conv2_2_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv1_bn_variance -> /data/local/tmp/test/conv1_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_sep_bn_offset -> /data/local/tmp/test/conv4_2_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv6_sep_weights -> /data/local/tmp/test/conv6_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_sep_bn_scale -> /data/local/tmp/test/conv3_1_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_sep_bn_variance -> /data/local/tmp/test/conv4_1_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_sep_weights -> /data/local/tmp/test/conv3_1_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_sep_bn_offset -> /data/local/tmp/test/conv3_1_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_dw_bn_mean -> /data/local/tmp/test/conv5_2_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_dw_bn_scale -> /data/local/tmp/test/conv5_3_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_sep_bn_offset -> /data/local/tmp/test/conv3_2_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv1_bn_offset -> /data/local/tmp/test/conv1_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_sep_bn_offset -> /data/local/tmp/test/conv5_1_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_sep_bn_offset -> /data/local/tmp/test/conv5_4_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_dw_bn_offset -> /data/local/tmp/test/conv5_2_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_dw_bn_scale -> /data/local/tmp/test/conv4_2_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_sep_bn_variance -> /data/local/tmp/test/conv2_2_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_sep_bn_scale -> /data/local/tmp/test/conv2_1_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_dw_bn_scale -> /data/local/tmp/test/conv3_1_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_dw_bn_scale -> /data/local/tmp/test/conv5_2_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_sep_bn_scale -> /data/local/tmp/test/conv3_2_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_sep_bn_offset -> /data/local/tmp/test/conv4_1_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_sep_bn_mean -> /data/local/tmp/test/conv3_2_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_dw_bn_mean -> /data/local/tmp/test/conv4_2_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_dw_weights -> /data/local/tmp/test/conv4_2_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_dw_bn_offset -> /data/local/tmp/test/conv2_2_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_sep_weights -> /data/local/tmp/test/conv5_5_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_dw_weights -> /data/local/tmp/test/conv3_2_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_sep_bn_variance -> /data/local/tmp/test/conv3_1_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_dw_bn_variance -> /data/local/tmp/test/conv2_2_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_sep_bn_variance -> /data/local/tmp/test/conv5_4_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_dw_bn_offset -> /data/local/tmp/test/conv5_4_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_dw_bn_offset -> /data/local/tmp/test/conv4_2_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_dw_bn_offset -> /data/local/tmp/test/conv4_1_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_dw_weights -> /data/local/tmp/test/conv2_2_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv6_dw_bn_offset -> /data/local/tmp/test/conv6_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_sep_weights -> /data/local/tmp/test/conv4_1_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_dw_bn_variance -> /data/local/tmp/test/conv5_6_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_sep_bn_variance -> /data/local/tmp/test/conv5_3_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_dw_bn_variance -> /data/local/tmp/test/conv3_2_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_sep_bn_mean -> /data/local/tmp/test/conv5_2_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_sep_bn_variance -> /data/local/tmp/test/conv2_1_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_sep_bn_mean -> /data/local/tmp/test/conv5_4_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_dw_weights -> /data/local/tmp/test/conv3_1_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv3_2_sep_weights -> /data/local/tmp/test/conv3_2_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_sep_bn_offset -> /data/local/tmp/test/conv5_2_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv1_weights -> /data/local/tmp/test/conv1_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_sep_bn_scale -> /data/local/tmp/test/conv4_1_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_sep_bn_variance -> /data/local/tmp/test/conv4_2_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_dw_bn_offset -> /data/local/tmp/test/conv5_6_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/fc7_offset -> /data/local/tmp/test/fc7_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv3_1_dw_bn_offset -> /data/local/tmp/test/conv3_1_dw_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv6_sep_bn_scale -> /data/local/tmp/test/conv6_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv6_dw_bn_scale -> /data/local/tmp/test/conv6_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_dw_weights -> /data/local/tmp/test/conv2_1_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_sep_weights -> /data/local/tmp/test/conv5_6_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_dw_bn_scale -> /data/local/tmp/test/conv5_5_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_dw_bn_scale -> /data/local/tmp/test/conv5_1_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_dw_bn_mean -> /data/local/tmp/test/conv2_2_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_dw_bn_scale -> /data/local/tmp/test/conv4_1_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_sep_weights -> /data/local/tmp/test/conv5_3_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv6_dw_weights -> /data/local/tmp/test/conv6_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_dw_bn_mean -> /data/local/tmp/test/conv2_1_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/__model__ -> /data/local/tmp/test/__model__
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_sep_bn_variance -> /data/local/tmp/test/conv5_2_sep_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_sep_bn_offset -> /data/local/tmp/test/conv5_3_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_dw_bn_mean -> /data/local/tmp/test/conv5_5_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_dw_bn_variance -> /data/local/tmp/test/conv4_2_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_dw_bn_variance -> /data/local/tmp/test/conv4_1_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_dw_bn_variance -> /data/local/tmp/test/conv5_1_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv4_2_sep_bn_mean -> /data/local/tmp/test/conv4_2_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_dw_weights -> /data/local/tmp/test/conv5_6_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_2_dw_bn_variance -> /data/local/tmp/test/conv5_2_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv4_1_dw_weights -> /data/local/tmp/test/conv4_1_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_5_sep_bn_offset -> /data/local/tmp/test/conv5_5_sep_bn_offset
push: ../assets/models/mobilenet_v1_fp32_224/conv2_1_sep_bn_mean -> /data/local/tmp/test/conv2_1_sep_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv2_2_dw_bn_scale -> /data/local/tmp/test/conv2_2_dw_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_dw_bn_mean -> /data/local/tmp/test/conv5_1_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv6_dw_bn_mean -> /data/local/tmp/test/conv6_dw_bn_mean
push: ../assets/models/mobilenet_v1_fp32_224/conv5_1_dw_weights -> /data/local/tmp/test/conv5_1_dw_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_4_sep_weights -> /data/local/tmp/test/conv5_4_sep_weights
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_sep_bn_scale -> /data/local/tmp/test/conv5_6_sep_bn_scale
push: ../assets/models/mobilenet_v1_fp32_224/conv5_3_dw_bn_variance -> /data/local/tmp/test/conv5_3_dw_bn_variance
push: ../assets/models/mobilenet_v1_fp32_224/conv5_6_sep_bn_offset -> /data/local/tmp/test/conv5_6_sep_bn_offset
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push: ../assets/configs/./synset_words.txt -> /data/local/tmp/test/synset_words.txt
push: ../assets/configs/./imagenet_224.txt -> /data/local/tmp/test/imagenet_224.txt
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WARNING: linker: Warning: unable to normalize "./opencl" (ignoring)
WARNING: linker: Warning: unable to normalize "./cpu" (ignoring)
WARNING: linker: Warning: unable to normalize "./opencl" (ignoring)
WARNING: linker: Warning: unable to normalize "./cpu" (ignoring)
WARNING: linker: Warning: "/data/local/tmp/test/demo" unused DT entry: DT_RPATH (type 0xf arg 0x1cfa) (ignoring)
WARNING: linker: Warning: "/data/local/tmp/test/libpaddle_full_api_shared.so" unused DT entry: DT_RPATH (type 0xf arg 0x102699) (ignoring)
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1275 Setup] ARM multiprocessors name: HARDWARE	: QUALCOMM TECHNOLOGIES, INC KONA
_NIO_KONA_
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1276 Setup] ARM multiprocessors number: 8
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 0, max freq: 1804, min freq: 1804, cluster ID: 1, CPU ARCH: A55
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 1, max freq: 1804, min freq: 1804, cluster ID: 1, CPU ARCH: A55
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 2, max freq: 1804, min freq: 1804, cluster ID: 1, CPU ARCH: A55
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 3, max freq: 1804, min freq: 1804, cluster ID: 1, CPU ARCH: A55
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 4, max freq: 2419, min freq: 2419, cluster ID: 0, CPU ARCH: A77
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 5, max freq: 2419, min freq: 2419, cluster ID: 0, CPU ARCH: A77
[I  4/16  9:28:38.180 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 6, max freq: 2419, min freq: 2419, cluster ID: 0, CPU ARCH: A77
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1278 Setup] ARM multiprocessors ID: 7, max freq: 3187, min freq: 3187, cluster ID: 0, CPU ARCH: A77
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1284 Setup] L1 DataCache size is: 
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 256 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 256 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 256 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 256 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 192 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 192 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 192 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1286 Setup] 192 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1288 Setup] L2 Cache size is: 
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 512 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 512 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 512 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 512 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 768 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 768 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 768 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1290 Setup] 768 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1292 Setup] L3 Cache size is: 
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1294 Setup] 4096 KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1296 Setup] Total memory: 7852856KB
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1297 Setup] SVE2 support: 0
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1298 Setup] SVE2 f32mm support: 0
[I  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/core/device_info.cc:1299 Setup] SVE2 i8mm support: 0
[1  4/16  9:28:38.181 ...ace/Paddle-Lite/lite/api/cxx_api_impl.cc:97 Init] use_layout_preprocess_pass:18446744073709551615
[I  4/16  9:28:38.181 ...orkspace/Paddle-Lite/lite/api/cxx_api.cc:371 Build] Load model from file.
[F  4/16  9:28:38.181 ...e-Lite/lite/model_parser/model_parser.cc:132 PrintPbModelErrorMessage] 
 Error, Unsupported model format!
      1. contents in model directory should be in one of these formats:
          (1) __model__ + var1 + var2 + etc.
          (2) model + var1 + var2 + etc.
          (3) model.pdmodel + model.pdiparams
          (4) model + params
          (5) model + weights
      2. You can also appoint the model and params file in custom format:
          eg. |-- set_model_file('custom_model_name')
              |-- set_param_file('custom_params_name')'
[F  4/16  9:28:38.181 ...e-Lite/lite/model_parser/model_parser.cc:132 PrintPbModelErrorMessage] 
 Error, Unsupported model format!
      1. contents in model directory should be in one of these formats:
          (1) __model__ + var1 + var2 + etc.
          (2) model + var1 + var2 + etc.
          (3) model.pdmodel + model.pdiparams
          (4) model + params
          (5) model + weights
      2. You can also appoint the model and params file in custom format:
          eg. |-- set_model_file('custom_model_name')
              |-- set_param_file('custom_params_name')'

An internal error occurred in PaddleLite(cxx config).
pull: building file list...
0 files pulled. 0 files skipped.
remote object '/data/local/tmp/test/mobilenet_v1_fp32_224.nb' does not exist

确认了当前模型文件夹中，是 (1) __model__ + var1 + var2 + etc. 的格式。

又尝试了推送nb文件，推送model.pdmodel + model.pdiparams等方法，始终报错Unsupported model format!
@DefTruth
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好的，我们具体看下这个案例。请问模型用的是官方提供的吗？

@unseenme
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请问模型用的是官方提供的吗？

是的。用的都是官方提供模型。

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@DefTruth @unseenme