[quantization] Introduce wrapper for Qwen3VLVisionPatchMerger#493
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[quantization] Introduce wrapper for Qwen3VLVisionPatchMerger#493dvsav wants to merge 1 commit intoSamsung:mainfrom
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This change introduces QuantQwen3VLVisionPatchMerger wrapper to support post-training quantization of Qwen3VLVisionPatchMerger module. TICO-DCO-1.0-Signed-off-by: d.savchenkov <d.savchenkov@partner.samsung.com>
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For ReviewersBelow is the source code of # transformers/models/qwen3_vl/modeling_qwen3_vl.py
class Qwen3VLVisionPatchMerger(nn.Module):
def __init__(self, config: Qwen3VLVisionConfig, use_postshuffle_norm=False) -> None:
super().__init__()
self.hidden_size = config.hidden_size * (config.spatial_merge_size**2)
self.use_postshuffle_norm = use_postshuffle_norm
self.norm = nn.LayerNorm(self.hidden_size if use_postshuffle_norm else config.hidden_size, eps=1e-6)
self.linear_fc1 = nn.Linear(self.hidden_size, self.hidden_size)
self.act_fn = nn.GELU()
self.linear_fc2 = nn.Linear(self.hidden_size, config.out_hidden_size)
def forward(self, x: torch.Tensor) -> torch.Tensor:
x = self.norm(x.view(-1, self.hidden_size) if self.use_postshuffle_norm else x).view(-1, self.hidden_size)
x = self.linear_fc2(self.act_fn(self.linear_fc1(x)))
return x |
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This change introduces
QuantQwen3VLVisionPatchMergerwrapper to support post-training quantization ofQwen3VLVisionPatchMergermodule.Why?
Qwen3VLVisionPatchMergermodule is used in the image encoder part of Qwen model.Trying to quantize
Qwen3VLVisionPatchMergervia PTQ generates exceptionPTQQuantizer: no quantization wrapper for Qwen3VLVisionPatchMerger.What
This change introduces:
QuantQwen3VLVisionPatchMerger(tico/quantization/wrapq/wrappers/qwen_vl/quant_vision_patch_merger.py).class TestQuantQwen3VLVisionPatchMerger(test/quantization/wrapq/wrappers/qwen_vl/test_quant_vision_patch_merger.py) - skipped iftransformerspackage is not installed.tico.quantization.wrapq.wrappers.qwen_vl.quant_vision_patch_mergerin_CORE_MODULES(tico/quantization/wrapq/wrappers/registry.py).Qwen3VLVisionPatchMergerquantization and conversion to Circle (tico/quantization/wrapq/examples/qwen/quantize_qwen_vision_patch_merger.py).Unit Tests
Unit tests results with coverage information:
Coverage info (irrelevant files skipped):