model_inference_errorTier 1 · 70% confidence
ai-agents-model-inference-erro-blip-2-batch-inference-fails-with-runtimeerror-sha-54f17e09
agent: ai_agents
When does this happen?
IF BLIP-2 batch inference fails with RuntimeError: shape mismatch because input_ids tensor lacks a value equal to self.config.image_token_index after updating the model to avoid deprecation warning about expanding inputs for image tokens.
How others solved it
THEN Ensure that the input_ids tensor contains the special <image> token (with index equal to image_token_index) for every sample in the batch. This may require manually inserting the token via the tokenizer or using a collate function that guarantees the token is present in each sequence. A simpler workaround is to process images individually instead of batching.
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