I'm using tvm to convert a tensorflow model.
when I call relay.build, there comes a warning,
> Cannot find config for target=cuda, workload=('conv2d_nchw.cuda', ('TENSOR',
> (1, 384, 35, 35), 'float32'), ('TENSOR', (224, 384, 1, 1), '
but in fact, I searched the tf model and can't find a conv2
wow thank you! I'll try it.
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@ [comaniac](https://discuss.tvm.ai/u/comaniac)
any advice? Thank you!
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have you solved this problem?
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Thank you ! I have two questions for this solution.
1. To use this API, I have to load all models at the same time, which seems to
have a huge demand for memory.
2. I didn't find a way to save tasks to disk, that means if the tuning is
interrupted , I have to do the whole thing from beginnin
Thank you！Seems it will work to me.
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I have read tutorials about auto-tuning, seems there are two kinds for auto
tuning.
1. write a schedule for a specific op and create a task for it.
2. extract tasks from a graph, which is to auto tune the whole model.
Here I have a lot of models to tune, and their convolution configurations hav
