pre-trained models "sharpmask.t7" and "resnet18_integral_coco.t7" for arm platform

[nara007]

I want to run multipathnet on NVIDIA tx1(ARM architecture), but i seems the model "sharpmask.t7" is trained for X86 platform, sharpmask.t7 can't be loaded. Are there pre-trained model "sharpmask.t7"
and "resnet18_integral_coco.t7" for ARM platform?

ubuntu@tegra-ubuntu:/mnt/sdcard/multipathnet$ th demo.lua
Warning: Failed to load function from bytecode: (binary): cannot load incompatible bytecodeWarning: Failed to load function from bytecode: [string "..."]:2: unexpected symbol/home/ubuntu/torch/install/bin/luajit: /home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:375: unknown object
stack traceback:
[C]: in function 'error'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:375: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:307: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/nn/Module.lua:192: in function 'read'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:351: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/nn/Module.lua:192: in function 'read'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:351: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/nn/Module.lua:192: in function 'read'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:351: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:369: in function 'readObject'
/home/ubuntu/torch/install/share/lua/5.1/torch/File.lua:409: in function 'load'
demo.lua:36: in main chunk
[C]: in function 'dofile'
...untu/torch/install/lib/luarocks/rocks/trepl/scm-1/bin/th:150: in main chunk
[C]: at 0x004061f0