Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[WIP] Qwen2-VL with VisionZip #12725

Draft
wants to merge 6 commits into
base: main
Choose a base branch
from
+491 −10
Draft

[WIP] Qwen2-VL with VisionZip #12725

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
b9f27a1
init
cyita Jan 16, 2025
a915413
move condition forward
cyita Jan 17, 2025
4a4e875
trail 1 assign random height & width, fix rope delta
cyita Jan 17, 2025
a1ba133
fix output & support generate with dominant/contextual num
cyita Jan 21, 2025
386dcec
update replace_func
cyita Jan 21, 2025
8ea2bee
update
cyita Jan 21, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
20 changes: 17 additions & 3 deletions python/llm/src/ipex_llm/transformers/convert.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1181,10 +1181,10 @@ def replace_RotaryEmbed(m, target_m, replace_embed):


def replace_func(m, target_m, func_name, new_func):
if m.__class__ == target_m:
bound_method = new_func.__get__(m, m.__class__)
setattr(m, func_name, bound_method)
for _, sub_m in m.named_children():
if sub_m.__class__ == target_m:
bound_method = new_func.__get__(sub_m, sub_m.__class__)
setattr(sub_m, func_name, bound_method)
replace_func(sub_m, target_m, func_name, new_func)


Expand Down Expand Up @@ -1646,6 +1646,11 @@ def _optimize_post(model):
from ipex_llm.transformers.models.qwen2_vl import qwen2_vision_attention_forward
from ipex_llm.transformers.models.qwen2_vl import qwen2_vl_model_forward
from ipex_llm.transformers.models.qwen2_vl import qwen2_vl_attention_forward
from ipex_llm.transformers.models.qwen2_vl import qwen2_vit_pretrained_model_forward
from ipex_llm.transformers.models.qwen2_vl import qwen2_vl_vision_block_forward
from ipex_llm.transformers.models.qwen2_vl import qwen2_vl_conditional_generation_forward
from ipex_llm.transformers.models.qwen2_vl import get_rope_index
from ipex_llm.transformers.models.qwen2_vl import prepare_inputs_for_generation
convert_forward(model, module.Qwen2RMSNorm, rms_norm_forward)
convert_forward(model, module.Qwen2MLP, qwen2_mlp_forward)
model.visual.get_dtype = MethodType(qwen2_vision_get_dtype, model.visual)
Expand All @@ -1654,6 +1659,15 @@ def _optimize_post(model):
convert_forward(model, module.Qwen2VLModel, qwen2_vl_model_forward)
convert_forward(model, module.Qwen2VLAttention, qwen2_vl_attention_forward)
convert_forward(model, module.Qwen2VLSdpaAttention, qwen2_vl_attention_forward)
convert_forward(model, module.Qwen2VisionTransformerPretrainedModel,
qwen2_vit_pretrained_model_forward)
convert_forward(model, module.Qwen2VLVisionBlock, qwen2_vl_vision_block_forward)
convert_forward(model, module.Qwen2VLForConditionalGeneration,
qwen2_vl_conditional_generation_forward)
replace_func(model, module.Qwen2VLForConditionalGeneration,
"get_rope_index", get_rope_index)
replace_func(model, module.Qwen2VLForConditionalGeneration,
"prepare_inputs_for_generation", prepare_inputs_for_generation)
elif model.config.model_type == "aquila":
modeling_module_name = model.__class__.__module__
module = importlib.import_module(modeling_module_name)
Expand Down
Loading
Loading