szagoruyko
commented
8 years ago Hi, never used Jetson, if it fully supports Torch and CUDNN it's likely to run mulipathnet too.
Open nara007 opened 8 years ago
szagoruyko
commented
8 years ago Hi, never used Jetson, if it fully supports Torch and CUDNN it's likely to run mulipathnet too.
The compute capability of this board is 3.2，but requirements of multipathnet claims for compute capability 3.5+. If i install multipathnet on this board, what will happen? Thanks !
I have not jet bought this board.
some information about JetsonTK1:
NVIDIA Kepler GPU with 192 CUDA cores • NVIDIA 4-Plus-1 quad-core ARM Cortex-A15 CPU • 2 GB x 16 memory with 64-bit width and 16 GB 4.51 eMMC memory
Tegra K1 SoC
• NVIDIA Kepler GPU with 192 CUDA cores • NVIDIA 4-Plus-1 quad-core ARM Cortex-A15 CPU • 2 GB x 16 memory with 64-bit width • 16 GB 4.51 eMMC memory • Half mini-PCIE slot 1 • Full size SD/MMC connector • 1 USB 2.0 port, micro AB 1 • 1 Full-size HDMI port • RS232 serial port • 1 ALC5639 Realtek Audio codec with Mic in and Line out • 1 RTL8111GS Realtek GigE LAN • 1 SATA data port • SPI 4MByte boot flash
CUDA Developer Information
• CUDA Version: 6.0 • CUDA Cores:
Computational Capability: sm_32 Number of cores: 192
• CUDA libraries: cudart, cufft, cublas, curand, cusparse, npp, opencv4tegra for registered developers Visionworks: available on request
• CUDA tools:
for local development, all the command line tools (compiler, cuda-gdb, cuda-memcheck, command-line profiler for remote development, all the command-line tools and the visual tools too (NSight Eclipse Edition, Visual Profiler)