[Text Pipeline] Implement Text Encoders Wrappers with mesh support#339
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copybara-service[bot] merged 1 commit intoAI-Hypercomputer:mainfrom Mar 9, 2026
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| # Feature Extractor Config | ||
| gemma_dim: int = 3840, # Gemma-3-12b | ||
| gemma_layers: int = 49, # Gemma-3 has 48 layers + 1 embedding layer output = 49 hidden states | ||
| projection_dim: int = 4096, # LTX-2 conditioning dim |
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Change needed 4096 -> 3840
prishajain1
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| # Feature Extractor Config (Shared) | ||
| gemma_dim: int = 3840, # Gemma-3-12b | ||
| gemma_layers: int = 49, # Gemma-3 has 48 layers + 1 embedding layer output = 49 hidden states | ||
| projection_dim: int = 4096, |
prishajain1
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Feb 26, 2026
| gemma_layers: int = 49, # Gemma-3 has 48 layers + 1 embedding layer output = 49 hidden states | ||
| projection_dim: int = 4096, | ||
| # Connector Config | ||
| connector_heads: int = 32, |
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Signed-off-by: James Huang <syhuang1201@gmail.com>
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This PR introduces the high-level
nnx.Modulewrappers (LTX2VideoGemmaTextEncoderandLTX2AudioVideoGemmaTextEncoder) for the LTX-2 text pipeline. These wrappers serve as the orchestrators that connect the output of the raw Gemma 3 text encoder (hidden states) to theGemmaFeaturesExtractorProjLinearand subsequently to theEmbeddings1DConnector.