What’s the biggest pain point in building PyTorch models?
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When you’re wiring up a new architecture in PyTorch, what slows you down the most?
Layer selection? Shape debugging? Boilerplate? Something else?
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When you’re wiring up a new architecture in PyTorch, what slows you down the most?
Layer selection? Shape debugging? Boilerplate? Something else?
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