[Bug]: Expected There To Be 1 Prompt Updates Corresponding To 1 Image Items, But Instead Found 0 Prompt Updates! Either The Prompt Text Has Missing/incorrect Tokens For Multi-modal Inputs

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Introduction

Gemma3 is a powerful language model that supports multi-modal inputs, allowing users to generate text based on images and other forms of data. However, when trying to input images to support Gemma3, users may encounter the error "Expected there to be 1 prompt updates corresponding to 1 image items, but instead found 0 prompt updates!" This error can be frustrating, especially when working on a project that relies on the successful integration of images and text. In this article, we will explore the possible causes of this error and provide a step-by-step guide on how to correctly input images to support Gemma3.

Understanding the Error

The error message "Expected there to be 1 prompt updates corresponding to 1 image items, but instead found 0 prompt updates!" suggests that there is a problem with the prompt text or the implementation of the merged multi-modal processor for the Gemma3 model. The prompt text may be missing or have incorrect tokens for multi-modal inputs, or there may be an inconsistency between the _call_hf_processor and _get_prompt_updates functions.

Analyzing the Code

The code provided in the issue description is a function called generate_text that takes a prompt and an image as input and returns the generated text. The function uses the llm.generate method to generate the text based on the prompt and image. However, the code does not provide any information about the implementation of the merged multi-modal processor or the prompt text.

Resolving the Error

To resolve the error, we need to ensure that the prompt text has the correct tokens for multi-modal inputs and that the implementation of the merged multi-modal processor is correct. Here are the steps to follow:

Step 1: Check the Prompt Text

The prompt text should have the correct tokens for multi-modal inputs. In the provided code, the prompt text is created using the format method, which may not be sufficient to include the correct tokens. We need to ensure that the prompt text includes the correct tokens for multi-modal inputs.

prompt = "USER: <image>\n{}\nASSISTANT:".format(prompt)

To fix this, we can use the f-string notation to include the correct tokens in the prompt text.

prompt = f"USER: <image>\n{prompt}\nASSISTANT:"

Step 2: Implement the Merged Multi-Modal Processor

The implementation of the merged multi-modal processor is critical to resolving the error. We need to ensure that the _call_hf_processor and _get_prompt_updates functions are consistent and correctly implemented.

def _call_hf_processor(self, inputs):
    # Implement the HF processor call
    pass

def _get_prompt_updates(self, inputs):
    # Implement the prompt updates retrieval
    pass

To fix this, we need to implement the _call_hf_processor and _get_prompt_updates functions correctly.

Step 3: Update the Code

Once we have fixed the prompt text and implemented the merged multi-modal processor, we need to update the code to use the correct prompt text and processor implementation.

def generate_text(prompt, image):
    prompt = f"USER: <image>\n{prompt}\nASSISTANT:"
    sampling_params = SamplingParams(
        max_tokens=512,
        temperature=0.7,
        top_p=0.9,
    )
    print(prompt)
    print(image)

    outputs = llm.generate( {"prompt":prompt,"multi_modal_data":{"image":image}})
 

    generated_text = outputs[0].outputs[0].text
    return generated_text

Conclusion

Resolving the "Expected there to be 1 prompt updates corresponding to 1 image items, but instead found 0 prompt updates!" error in Gemma3 requires a thorough understanding of the prompt text and the implementation of the merged multi-modal processor. By following the steps outlined in this article, we can ensure that the prompt text has the correct tokens for multi-modal inputs and that the implementation of the merged multi-modal processor is correct. With these changes, we can successfully input images to support Gemma3 and generate text based on the images.

Additional Tips

  • Make sure to search for relevant issues and ask the chatbot living at the bottom right corner of the documentation page before submitting a new issue.
  • Ensure that the prompt text has the correct tokens for multi-modal inputs.
  • Implement the merged multi-modal processor correctly.
  • Update the code to use the correct prompt text and processor implementation.

Introduction

In our previous article, we explored the possible causes of the "Expected there to be 1 prompt updates corresponding to 1 image items, but instead found 0 prompt updates!" error in Gemma3. We also provided a step-by-step guide on how to correctly input images to support Gemma3. In this article, we will answer some frequently asked questions (FAQs) related to the Gemma3 multi-modal input error.

Q: What is the Gemma3 multi-modal input error?

A: The Gemma3 multi-modal input error is a common issue that occurs when trying to input images to support Gemma3. The error message "Expected there to be 1 prompt updates corresponding to 1 image items, but instead found 0 prompt updates!" suggests that there is a problem with the prompt text or the implementation of the merged multi-modal processor for the Gemma3 model.

Q: What are the possible causes of the Gemma3 multi-modal input error?

A: The possible causes of the Gemma3 multi-modal input error include:

  • Missing or incorrect tokens in the prompt text for multi-modal inputs
  • Inconsistency between the _call_hf_processor and _get_prompt_updates functions
  • Incorrect implementation of the merged multi-modal processor

Q: How can I resolve the Gemma3 multi-modal input error?

A: To resolve the Gemma3 multi-modal input error, you need to ensure that the prompt text has the correct tokens for multi-modal inputs and that the implementation of the merged multi-modal processor is correct. Here are the steps to follow:

  1. Check the prompt text and ensure that it includes the correct tokens for multi-modal inputs.
  2. Implement the merged multi-modal processor correctly.
  3. Update the code to use the correct prompt text and processor implementation.

Q: What is the correct format for the prompt text?

A: The correct format for the prompt text should include the correct tokens for multi-modal inputs. You can use the f-string notation to include the correct tokens in the prompt text.

prompt = f"USER: <image>\n{prompt}\nASSISTANT:"

Q: How can I implement the merged multi-modal processor correctly?

A: To implement the merged multi-modal processor correctly, you need to ensure that the _call_hf_processor and _get_prompt_updates functions are consistent and correctly implemented.

def _call_hf_processor(self, inputs):
    # Implement the HF processor call
    pass

def _get_prompt_updates(self, inputs):
    # Implement the prompt updates retrieval
    pass

Q: What are some additional tips for resolving the Gemma3 multi-modal input error?

A: Here are some additional tips for resolving the Gemma3 multi-modal input error:

  • Make sure to search for relevant issues and ask the chatbot living at the bottom right corner of the documentation page before submitting a new issue.
  • Ensure that the prompt text has the correct tokens for multi-modal inputs.
  • Implement the merged multi-modal processor correctly.
  • Update the code to use the correct prompt text and processor implementation.

Conclusion

The Gemma3 multi-modal input error is a common issue that can be resolved by ensuring that the prompt text has the correct tokens for multi-modal inputs and that the implementation of the merged multi-modal processor is correct. By following the steps outlined in this article and the additional tips provided, you can successfully input images to support Gemma3 and generate text based on the images.