Kernels running on the GPU require all memory accesses to be within a thread or
a block. The file you are looking does not do any thread binding. I suggest
looking at this tutorial:
https://tvm.apache.org/docs/tutorials/optimize/opt_conv_cuda.html
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Hi! I have been studying how TVM works and I tried out this
(https://github.com/apache/incubator-tvm/blob/master/tutorials/autotvm/tune_simple_template.py)
tutorial example from the website and it seems like running this example with
cuda (or OpenCL) produces errors like:
> Cannot find config
