[TVM Discuss] [Questions] Autotvm error: cudaErrorCudartUnloading: initialization error' error_no=2

I think this is nothing to do with AutoTVM yet. Did you try to build the model directly without running AutoTVM? If you encounter the same error without running AutoTVM, then it means you change results in errors in the generated CUDA code. If you didn't encounter the error without running Au

[TVM Discuss] [Questions] Relationship between json and TVM Runtime: How operators are selected for execution

>From my understanding, all operators are executed sequentially. --- [Visit Topic](https://discuss.tvm.ai/t/relationship-between-json-and-tvm-runtime-how-operators-are-selected-for-execution/6477/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe

[TVM Discuss] [Questions] Question about conv2d x86 schedule template

Because kernel includes the channel of not only input but also output. --- [Visit Topic](https://discuss.tvm.ai/t/question-about-conv2d-x86-schedule-template/6436/8) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](

[TVM Discuss] [Questions] Question about conv2d x86 schedule template

Hi @comaniac, I have one follow-up question if you are so kind. Do you know why we go from a 4-D to a 6-D vector when it comes to the kernel. I understand the N[C/c]HW[c] transformation, but I am having trouble understanding the one for the kernel (which is not 5-D but 6-D). --- [Visit T

[TVM Discuss] [Questions] Autotvm error: cudaErrorCudartUnloading: initialization error' error_no=2

Hello! I added a judgment about tensorcore (“nvcc.have_tensorcore(tvm.gpu(0).compute_version)”) in conv2d schedule, like this: """schedule optimized for NHWC direct conv2d""" pad_data, kernel = s[Conv].op.input_tensors s[pad_data].compute_inline() test_tensorcore = nvcc.have_

[TVM Discuss] [Questions] How link ARM compiled lib for operator support

Hi All, I am trying to link a arm compiled library for my optimised operator support, i am able to build the model using the tool chain :- graph, lib, params = relay.build(func, 'llvm -target=arm-none-eabi -mcpu=cortex-m4 -mfloat-abi=soft --system-lib) Now the problem is how to link m

[TVM Discuss] [Application] [SOLVED] C++ inference test app doesn't work correctly

I use "cv::dnn::blobFromImage", show error "cv::dnn has not been declared". How do I solve？ --- [Visit Topic](https://discuss.tvm.ai/t/solved-c-inference-test-app-doesnt-work-correctly/984/18) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from

[TVM Discuss] [Questions] How to implement TVM C++ DarkNet code

hi all, at present, there is only C + + classification code about TVM deployment, but there is no target detection code. If anyone sees this problem, please help me solve the problem and share your TVM version code about C + + Darknet. Thank you very much!!! Here is my code, but I can only wr