I will have a try. Thanks very much.
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I have the same problem. How did you solve it?
我遇到一样的问题，您是怎么解决的？
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@matt-arm : you may find this interesting.
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At this moment we suggest your codegen flatting a tuple here:
https://github.com/apache/incubator-tvm/blob/master/src/relay/backend/contrib/dnnl/codegen.cc#L141
In addition, when processing concatenate nodes, your codegen can retrieve the
tuple information when processing concatenate nodes by
Hello TVM community,
I am working on a problem where I would like to split the host and device
functionality depending on whether target and target_host are same. If target
is same as target_host, I would like to avoid splitting the IR. If target is
different from target_host, then the device
Now, I want to use BYOC to run SSD-ResNet34 model and I met some problems.
About the "concatenate" operator, if it is a subgraph, the partitioned graph is:
def @ssdnn_0(%ssdnn_0_i0: (Tensor[(64, 4, 5776), float32], Tensor[(64, 4,
2166), float32], Tensor[(64, 4, 600), float32], Tensor[(64,
it is VPN? emmm,what is the name of VPN?HALLO HALLO HALLO
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