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It's the code that collects the dataset. For networks with different configurations (different kernel size, batch size , channel size, etc.), how their execution time label are collected
The code we used to collect the training data is under the tools/recording/ subdirectory. For example, you can see how the Conv2d training data was collected here. You should be able to modify that code if you want to collect training data for a different operation or with different configurations.
Networks with different kernel size, stride, padding, etc. configurations and their execution time label
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