[Apache TVM Discuss] [Questions] The bigger flop, the slower it gets optimized with TVM?

Hello Recently, I conducted tests on convolution layers with different core sizes, different input-output channel sizes and different input resolutions, respectively measuring their running time without TVM optimization, the time when they were converted to TVM but not scheduled, and the time

[Apache TVM Discuss] [Questions] Cannot find config for target=llvm -keys=cpu -link-params=0, workload=

I have the following warning when running TVM in Ubuntu on both X86 servers. Does anyone have the same problem? Is there a solution? Thank you. Here's a simple piece of code I ran recently with the same warning: > import onnx > import time > import tvm > import numpy as np > import tvm.relay a

[Apache TVM Discuss] [Questions] Cannot find config for target=llvm -ke

I got the following warning when COMPILING mobilenetV2 using TVM. May I ask what causes this and is there any way to solve it? Thank you!  --- [Visit Topic](https://discuss.tvm.apache.org/t/cannot-find-config-for-ta

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

Yeah，I think maybe I should quit the road of windows now --- [Visit Topic](https://discuss.tvm.apache.org/t/check-failed-reporter-asserteq-data-shape-data-shape-size-1-weight-shape-1-is-false-denserel-input-dimension-doesnt-match-data-shape-1-512-weight-shape-512-1000/11274/17) to respond.

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

I was able to run successfully on torch1.8.0, but reported a new error "RuntimeError: LLVM version is not available, please check if you build with LLVM ", maybe there is a problem with TVM and LLVM on Windows, I am ready to give up and use Ubuntu in the future. There are too many bugs running

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

I got an error running on torch1.9.0 --- [Visit Topic](https://discuss.tvm.apache.org/t/check-failed-reporter-asserteq-data-shape-data-shape-size-1-weight-shape-1-is-false-denserel-input-dimension-doesnt-match-data-shape-1-512-weight-shape-512-1000/11274/14) to respond. You are receiving

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

Not yet, but it worked in Ubuntu16.04 --- [Visit Topic](https://discuss.tvm.apache.org/t/check-failed-reporter-asserteq-data-shape-data-shape-size-1-weight-shape-1-is-false-denserel-input-dimension-doesnt-match-data-shape-1-512-weight-shape-512-1000/11274/12) to respond. You are receivi

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

Not yet, but I run the same code successfully in Ubuntu --- [Visit Topic](https://discuss.tvm.apache.org/t/check-failed-reporter-asserteq-data-shape-data-shape-size-1-weight-shape-1-is-false-denserel-input-dimension-doesnt-match-data-shape-1-512-weight-shape-512-1000/11274/11) to respond.

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

I'm sorry that I didn't reply you in time because there are too many courses recently Here's the code: import tvm from tvm import relay import numpy as np from tvm.contrib.download import download_testdata # PyTorch imports import torch import torchvision #

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

Thank you very much，I'll give it a try。 --- [Visit Topic](https://discuss.tvm.apache.org/t/check-failed-reporter-asserteq-data-shape-data-shape-size-1-weight-shape-1-is-false-denserel-input-dimension-doesnt-match-data-shape-1-512-weight-shape-512-1000/11274/5) to respond. You are receivin

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

Sorry, I'm a novice, I can't quite understand what you mean --- [Visit Topic](https://discuss.tvm.apache.org/t/check-failed-reporter-asserteq-data-shape-data-shape-size-1-weight-shape-1-is-false-denserel-input-dimension-doesnt-match-data-shape-1-512-weight-shape-512-1000/11274/4) to respon

[Apache TVM Discuss] [Questions] Check failed: (reporter->AssertEQ(data->shape[data->shape.size() - 1], weight->shape[1])) is false: DenseRel: input dimension doesn't match, data shape=[1, 512], weigh

 It runs on an Intel CPU and Windows 10. There seems to be an error in transitioning from PyTorch Graph to Relay Graph. I am a new entry rookie, thank you for your answer --- [Visit Topic](https://discuss.tvm.apache.org/t/chec