https://github.com/apache/incubator-tvm/blob/master/topi/python/topi/cuda/conv2d.py#L46
https://github.com/apache/incubator-tvm/blob/master/topi/python/topi/cuda/conv2d_direct.py#L62
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Could you provide your workload (input/kernel shapes, stride, padding)? I’ll
take a look
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have you tried using AutoTVM to tune these ops? Which platform are you using?
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also cc @anijain2305 @xyzhou
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If you use graph_runtime or vm, relay will invoke CompileEngine, which will go
into tvm.lower in python and obtain a list of LoweredFunc
see compile_engine.cc
``` LowerInternal (...)
if (const auto* f = runtime::Registry::Get("relay.backend.lower"))
```
This calls into python part
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You can run the program with CUDA_VISIBLE_DEVICES env variable
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