As a worker of hardware accelerator company, I find almost each company need to create a NN model parser tool to do the same work of Relay frontend, and the most important part of it is keep a model zoo.
>From my work experiences from two hardware accelerator companies, maintain a >IR and support NN framwork(e.g., Tensorflow, caffe, tflit) need lots of time >and work, and Relay make a better job than these company internal tools, but >we still want Relay have a well maintained model zoo and useful utilities(e.g, >tools to extract one single operator's Relay IR and its constants for hardware >to do unit test). If Relay have a well maintained model zoo and these utilities I think lots of companies who hasn't NN parser tool will use Relay as their IR, if them think Relay is too complex(e.g., they needn't control flow), then I think they only need make a tool convert Relay IR to their IR instead of make a whole NN parser tool. Actually this thought is from a real work task, when I import ResNet-50 Tensorflow model to TVM, quantize it and build it, I found it will report error in quantize phase, it is strange to me, because this ResNet-50 model is used almost anywhere as a benchmark model, I know Relay must be have supported it, but I meet the error, and after some debugging, I found after Relay Tensorflow frontend the Relay IR have lots of useless small functions, then I remember I have saw "RemoveUnusedFunctions" pass in discuss forum, so apply it resolve the quantize error. Even through it doesn't cause too much time to solve this problem, but I think it shouldn't be appeared, so if there is a model zoo, I would like to push this to it and other people will not meet the error. --- [Visit Topic](https://discuss.tvm.apache.org/t/relay-model-zoo/6348/3) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/f51ee91fecd1e087e5a7f54350d46524499e250f7ba48060ef3f5756a53390f0).
