Hi all,
Is there any tvm benchmark for compiling TensorFlow models targeting the Intel
VPUs such as Neural Compute Stick?
Thanks a lot!
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You a
Hello,
I compiled my relay graph to a DSO library, json graph and a parameter binary
file like below:
graph, lib, lowered_params = relay.build(mod, target="opencl",
target_host="llvm --runtime=c++, params=params)
lib.export_library(os.path.join(build_dir, name+".so"))
When I'm deploying this
I am facing the same problem with prefetching data from shared mem to registers.
Did you solve this?
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Hi, everyone
For cuda target, I first fetch data from global memory to shared memory, then I
want to achieve software pipeline by prefetching some data from shared memory
to registers since shared memory request may consume tens of cycles and
sometimes even longer.
However, the underlying pr
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
Thanks for your reply. I see TVM's C++ API now, I'll try.
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I see, but perf can only give a summary of statistics, which include all the
program and thereby many noise for profling a Module. Seems there are no tools
that we can inspect the cache behavior just for a python code region.
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Hey, I want to profile the TVM module, e.g: cache-misses, LL-CACHE-MISSES etc.
How can I do this?
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