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I want to run resnet50 with my custom weights. I want to change the weights and see the results(cost, run time ,etc) in inference level. how can I do this?
The text was updated successfully, but these errors were encountered:
The tool only deals with dense NN models. In that case, the values of the weights do not matter. So the tool is oblivious to the weight values. If you want to try sparse models, this tool currently cannot do that, and you will need to find your own hacks. For example, change the MapStrategy class to reflect how to map a sparse model onto the array.
I want to run resnet50 with my custom weights. I want to change the weights and see the results(cost, run time ,etc) in inference level. how can I do this?
The text was updated successfully, but these errors were encountered: