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https://github.com/hiyouga/LLaMA-Factory.git
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lint
Former-commit-id: d7564365f4008e468f89102879d6e65c627ad447
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@ -142,10 +142,7 @@ def test_llava_next_plugin():
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check_inputs = {"plugin": llava_next_plugin, "tokenizer": tokenizer, "processor": processor}
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image_seqlen = 1176
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check_inputs["expected_mm_messages"] = [
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{
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key: value.replace("<image>", "<image>" * image_seqlen)
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for key, value in message.items()
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}
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{key: value.replace("<image>", "<image>" * image_seqlen) for key, value in message.items()}
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for message in MM_MESSAGES
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]
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check_inputs["expected_mm_inputs"] = _get_mm_inputs(processor)
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@ -158,10 +155,7 @@ def test_llava_next_video_plugin():
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check_inputs = {"plugin": llava_next_video_plugin, "tokenizer": tokenizer, "processor": processor}
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image_seqlen = 1176
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check_inputs["expected_mm_messages"] = [
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{
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key: value.replace("<image>", "<image>" * image_seqlen)
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for key, value in message.items()
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}
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{key: value.replace("<image>", "<image>" * image_seqlen) for key, value in message.items()}
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for message in MM_MESSAGES
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]
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check_inputs["expected_mm_inputs"] = _get_mm_inputs(processor)
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@ -207,10 +201,7 @@ def test_video_llava_plugin():
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check_inputs = {"plugin": video_llava_plugin, "tokenizer": tokenizer, "processor": processor}
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image_seqlen = 256
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check_inputs["expected_mm_messages"] = [
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{
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key: value.replace("<image>", "<image>" * image_seqlen)
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for key, value in message.items()
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}
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{key: value.replace("<image>", "<image>" * image_seqlen) for key, value in message.items()}
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for message in MM_MESSAGES
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]
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check_inputs["expected_mm_inputs"] = _get_mm_inputs(processor)
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