[quantization] Introduce wrapper for Qwen3VLTextRotaryEmbedding#498
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[quantization] Introduce wrapper for Qwen3VLTextRotaryEmbedding#498dvsav wants to merge 1 commit intoSamsung:mainfrom
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This change introduces QuantQwen3VLTextRotaryEmbedding wrapper to support post-training quantization of Qwen3VLTextRotaryEmbedding module. TICO-DCO-1.0-Signed-off-by: d.savchenkov <d.savchenkov@partner.samsung.com>
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This change introduces
QuantQwen3VLTextRotaryEmbeddingwrapper to support post-training quantization ofQwen3VLTextRotaryEmbeddingmodule.Why?
Qwen3VLTextRotaryEmbeddingmodule is used in the language model of Qwen.Trying to quantize
Qwen3VLTextRotaryEmbeddingvia PTQ generates exceptionPTQQuantizer: no quantization wrapper for Qwen3VLTextRotaryEmbedding.What
This change introduces:
QuantQwen3VLTextRotaryEmbedding(tico/quantization/wrapq/wrappers/qwen_vl/quant_text_rotary_embedding.py).class TestQuantQwen3VLTextRotaryEmbedding(test/quantization/wrapq/wrappers/qwen_vl/test_quant_text_rotary_embedding.py) - skipped iftransformerspackage is not installed.tico.quantization.wrapq.wrappers.qwen_vl.quant_text_rotary_embeddingin_CORE_MODULES(tico/quantization/wrapq/wrappers/registry.py).Qwen3VLTextRotaryEmbeddingquantization and conversion to Circle (tico/quantization/wrapq/examples/qwen/quantize_qwen_text_rotary_embedding.py).Unit Tests
Unit tests results with coverage information: