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Migrate MiniCPMOAudioInputs to TensorSchema #21847
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Code Review
This pull request migrates MiniCPMOAudioInputs to use TensorSchema for improved input validation, which is a great step towards better code quality and robustness.
I've found one potential issue with the implementation for MiniCPMOAudioEmbeddingInputs where the shape validation might be too strict and not allow for variable-length slices as documented. My review includes a suggestion to address this.
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DarkLight1337
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Sorry for delay, LGTM if test passes
Signed-off-by: Benji Beck <benjibeck@meta.com>
Mark `s` as dynamic dim as length of each slice may vary. Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Benji Beck <benjibeck@meta.com>
Signed-off-by: Benji Beck <benjibeck@meta.com>
Signed-off-by: Benji Beck <benjibeck@meta.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Signed-off-by: Benji Beck <benjibeck@meta.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Signed-off-by: Xiao Yu <xiao.yu@amd.com>
Signed-off-by: Benji Beck <benjibeck@meta.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Signed-off-by: Benji Beck <benjibeck@meta.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Signed-off-by: Benji Beck <benjibeck@meta.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Signed-off-by: Benji Beck <benjibeck@meta.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Purpose
This PR migrates MiniCPMOAudioInputs from a TypedDict-based definition to a structured TensorSchema model with runtime shape validation. This brings it in line with recent changes to Phi3VImagePixelInputs, and is part of a broader effort to improve input contract enforcement and debug-ability across multi-modal models.
Test Plan
Confirm validation works via standalone tests in tests/standalone_test/test_tensor_schema.py and rely on CI to check integration.
Test Result