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I’d like to learn from PyTorch’s experience in designing feature flags to enable custom implementation. Could you help me resolve the following questions, or provide related resources for my reference:
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- How does PyTorch design feature flags? What principles does it follow?
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- How should feature flags be used in the source code to prevent interference among them? Are there specific rules, constraints, or even clever techniques?
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- In testing, how can one ensure that all combinations of feature flags do not introduce bugs? Does it require testing every possible combination, or are there alternative assurances?
Thx a lot
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