Skip to content

Arm backend: Reduce Qwen3 VL E2E footprint #20328

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

Merged
bdemirb merged 1 commit into from
Jun 17, 2026
+29 −2
Merged

Arm backend: Reduce Qwen3 VL E2E footprint #20328

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
31 changes: 29 additions & 2 deletions backends/arm/test/models/Qwen3_VL/test_qwen3_vl_model.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,33 @@ def _make_qwen3_vl_2b_instruct_layer_config():
return config


def _make_qwen3_vl_e2e_test_config():
config = _make_qwen3_vl_2b_instruct_layer_config()

config.text_config.vocab_size = 1024
config.text_config.bos_token_id = 1
config.text_config.eos_token_id = 2
config.text_config.hidden_size = 128
config.text_config.intermediate_size = 384
config.text_config.num_hidden_layers = 2
config.text_config.num_attention_heads = 4
config.text_config.num_key_value_heads = 2
config.text_config.head_dim = 32
config.text_config.max_position_embeddings = 1024
config.text_config.rope_parameters["mrope_section"] = [4, 4, 4]
config.text_config.rope_scaling["mrope_section"] = [4, 4, 4]

config.vision_config.deepstack_visual_indexes = [0]
config.vision_config.depth = 2
config.vision_config.hidden_size = 128
config.vision_config.intermediate_size = 512
config.vision_config.num_heads = 4
config.vision_config.num_position_embeddings = 16
config.vision_config.out_hidden_size = 128

return config


def _make_text_position_ids(
batch_size: int, seq_length: int, device: torch.device
) -> torch.Tensor:
Expand Down Expand Up @@ -98,7 +125,7 @@ def forward(
@classmethod
def prepare_model_and_inputs(cls):
torch.manual_seed(0)
config = _make_qwen3_vl_2b_instruct_layer_config()
config = _make_qwen3_vl_e2e_test_config()
model = cls(config).eval()
input_ids = torch.randint(0, 128, (2, 8), dtype=torch.long)
attention_mask = torch.ones_like(input_ids)
Expand Down Expand Up @@ -161,7 +188,7 @@ def forward(self, pixel_values: torch.Tensor) -> torch.Tensor:
@classmethod
def prepare_model_and_inputs(cls):
torch.manual_seed(0)
config = _make_qwen3_vl_2b_instruct_layer_config()
config = _make_qwen3_vl_e2e_test_config()
model = cls(config).eval()
pixel_values = _make_pixel_values(config, torch.device("cpu"))
return model, (pixel_values,)
Expand Down
Loading