Meet "uses too much shared data" error when run build.relay

I convert a vit model from onnx, and then run relay.build

with tvm.transform.PassContext(opt_level=3):
    lib = relay.build(mod, target=target, params=params)

and then meet an error like this: ptxas error : Entry function ‘tvmgen_default_fused_nn_conv2d_kernel0’ uses too much shared data (0x6d68c bytes, 0xc000 max)

i use tvm-0.9 and cuda-10.1 and gcc-7.3

i’m a newcomer for tvm , and how can i fix this problem .

Thanks!

PS. When i use the tvm-0.8 ,I can successfully execute this code. Is there any difference between 0.8 and 0.9?

It’s probably due to the fact that the shared memory usage of the default schedule is too much for your model. You need to tune for your model + device.

@masahi Thanks for your reply!

and How can i tune the shared memory size for the model.

I mean, tuning is not just for shared memory size, but for the entire schedules. See for example Auto-scheduling a Neural Network for NVIDIA GPU — tvm 0.10.dev0 documentation

@masahi OK! i will try it

Thanks very much!!