find . -type f -exec ls {} \; find . -name __init__.py -exec echo "===================" \; -exec ls {} \; -exec cat {} \;
find . -name *.pyc -exec rm {} \;
find . -name __init__.py -exec ls {} \; -exec cat {} \;
http://bbs.chinaunix.net/thread-4170427-1-1.html
# find /sys/kernel/debug/tegra_fan/ -type f -exec cat {} \; 0 100 (Index, RPM, PWM, RRU, RRD) (0, 0, 0, 40, 40) (1, 1000, 80, 2, 2) (2, 2000, 120, 1, 1) (3, 3000, 160, 1, 1) (4, 4000, 255, 1, 1) (5, 5000, 255, 1, 1) (6, 6000, 255, 1, 1) (7, 7000, 255, 1, 1) (8, 10000, 255, 1, 1) (9, 11000, 255, 1, 1) 255 1 0 # find /sys/kernel/debug/tegra_fan/ -type f -exec echo {} \; -exec cat {} \; /sys/kernel/debug/tegra_fan/cur_pwm 0 /sys/kernel/debug/tegra_fan/step_time 100 /sys/kernel/debug/tegra_fan/pwm_rpm_table (Index, RPM, PWM, RRU, RRD) (0, 0, 0, 40, 40) (1, 1000, 80, 2, 2) (2, 2000, 120, 1, 1) (3, 3000, 160, 1, 1) (4, 4000, 255, 1, 1) (5, 5000, 255, 1, 1) (6, 6000, 255, 1, 1) (7, 7000, 255, 1, 1) (8, 10000, 255, 1, 1) (9, 11000, 255, 1, 1) /sys/kernel/debug/tegra_fan/pwm_cap 255 /sys/kernel/debug/tegra_fan/temp_control 1 /sys/kernel/debug/tegra_fan/target_pwm 0
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find . -name '*json' |xargs ls 相当于 find . -name '*json' -exec echo {} \;
find . '*json' -exec echo {} \; -exec cat {} \;
$ find . -name "recommendation_*.protobuf" -printf '%f\t%p\n' | sort -Vk1 | cut -f2 |xargs -exec grep -iH "pretrain"
./recommendation_0.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_2.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_3.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_4.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_5.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_6.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_7.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"
./recommendation_8.protobuf: pretrained_model_file: "/shared/users/00000000-0000-0000-0000-000000000000/models/0cb8a61a-f8f8-45d1-9f40-fa003445e15a/pretrained_detectnet_v2_vresnet34/resnet_34.hdf5"