PaddlePaddle / PaddlePaddle/FastDeploy

PaddleLite 示例程序执行时出错

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Description

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
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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!

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with docs/demo_guides/opencl.md and the image_classification_demo/shell/run_with_adb.sh entry point. Reproduce both reported failures on the stated Ubuntu and Android setup, then inspect the referenced libs/PaddleLite/android/arm64-v8a/lib paths and model-loading flow. Done means the script copies the libraries and the demo runs without the reported model-format error.

Written by the indexing model from the issue text.

Assessment

Tech stack
android, linux, shell
Domain
mobile-dev, tooling
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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