seansong

Thank you very much for always giving me help. I have an idea to achieve my goal but not sure about it. The goal is booting the Linux system from...

Thanks. I start with using the pre-build files from [Lowrisc with dual Rocket/Ariane support and X-windows](https://github.com/lowRISC/lowrisc-chip/releases/tag/v0.7-rc1). The flow in https://www.lowrisc.org/docs/getting-started/ is followed. genesys2_ariane_xilinx.bit is used to program the genesys2 board....

Thanks. I set up a DHCP server on the host. Now the connection between the GenesysII board (Ariane) and host works. ``` DHCPREQUEST for 10.1.30.44 on eth0 to 255.255.255.255 port...

Thanks a lot for always giving me suggestions. I appreciate that. I replaced the root filing system with the one from ariane-sdk and it worked. I want to build the...

Thanks. I noticed that I missed that file on my local. Sorry about that. When I run the "make genesys2_ariane", an error was thrown at the [line ](riscv-pk/serial/vmlinux-serial: riscv-pk/serial/Makefile $(LINUX)/.config)...

From the Ariane-SDK make file I found the **riscv64-unknown-linux-gnu-** is recommended. CROSS_COMPILE=/opt/riscv/bin/riscv64-unknown-elf- is an embedded elf toolchain. riscv64-unknown-linux-gnu- instead should be used from Linux toolchain. This works.

I see. Thanks a lot!

I wonder is there a way to emerge the [boot.bin](https://github.com/lowRISC/lowrisc-chip/releases/tag/v0.7-rc1) and [rootfs.tar.xz ](https://github.com/lowRISC/lowrisc-chip/releases/tag/v0.7-rc1) to one file. I want to use the [write_cfgmem.tcl](https://github.com/lowRISC/lowrisc-chip/blob/64986933820090fb647ac7066079a100e62b66f4/fpga/scripts/write_cfgmem.tcl#L28) to combine the above-generted file and the FPGA...

Thanks a lot. I didn't find the command line to generate the "boot.bin" , but in the [Build Berkeley boot loader](https://www.lowrisc.org/docs/build-berkeley-boot-loader/) page I noticed that the riscv-pk/serial/bbl actually is the...

@cskyl @lyhyl have it worked for you? I am facing the same error as you posted. and if I try the stride8 version then I got "model.load_state_dict(sd["model"]) error: couldn't allocate...