yuanskinner

Results 11 comments of yuanskinner

> hi @sahuang, I was able to compile and run on wsl 2 with cuda installed. hi @cliffburdick ,when i compile on wls2,a lot of error 255 like below: Environment:...

> Hi @yuanskinner, that doesn't look like an error, but rather your `make` parallelism is too high. Try `make -j4` so the OOM killer doesn't stop it. it's build success!...

> Hi @yuanskinner, do you have multiple GPUs in the system? no, only one rtx 3080 i have tried using cudaGetDeviceCount and return 1 then i tried cudaSetDevice(0) returning cudaSuccess...

> @yuanskinner how much system memory do you have? system memory 32.0 GB

> I just tried the examples on a Geforce 3070, and they all work on Linux, so it appears this is related to the WSL2 issue above. Thank you for...

i changed the demo like below ,and the same error in line **CUDA_CHECK_LAST_ERROR();** auto input = matx::make_tensor({num_batches, input_len},MATX_DEVICE_MEMORY,stream); auto filter = matx::make_tensor({filter_len},MATX_DEVICE_MEMORY,stream); auto output = matx::make_tensor({num_batches, output_len_per_channel, num_channels},MATX_DEVICE_MEMORY,stream); const matx::index_t...

> i don't have a Linux machine at the moment.If possible, you can write a test code for me to build and run ![image](https://github.com/NVIDIA/MatX/assets/135535354/500c1386-d299-4f5c-94c3-03f6940ec63a)

> Hi @yuanskinner, I don't have a WSL2 system I can test on easily at the moment. Is it possible for you to try on a Linux machine? In the...

> @tbensonatl Our typical scenario is: input signal bandwidth : 72 MHz channel count 1000,with diffrent bandwidth (10Khz~20MHz) Channels may not necessarily be equally spaced this is a ddc Service...

> @yuanskinner @tbensonatl put in a fix for WSL2. Can you please try the latest commit? it's worked!!! thank you so so so so much! in the reduce.h line 1647...