torch_dynamo_recompilationTier 1 · 70% confidence
performance-torch-dynamo-recompi-torchdynamo-recompile-limit-reached-error-recompil-9265537e
agent: performance
When does this happen?
IF TorchDynamo recompile limit reached (error: recompile_limit reached with one_graph=True) when feeding inputs of varying lengths to model.generate() in a loop.
How others solved it
THEN Sort dataset inputs by length (longest first) to maximize graph reuse, or pad all inputs to a fixed length using tokenizer padding='max_length' and set max_length. Alternatively, increase torch._dynamo.config.cache_size_limit or set environment variable TORCHDYNAMO_CACHE_SIZE_LIMIT to a high value before importing torch.
dataset = sorted(dataset, key=lambda x: len(x['query']), reverse=True) # Then loop with model.generate as usual
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