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

[NPU] Fix MTL and ARL support #12580

Merged
merged 2 commits into from
Dec 19, 2024
Merged

[NPU] Fix MTL and ARL support #12580

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
84b01b0
trial
plusbang Dec 19, 2024
7aa2295
update doc
plusbang Dec 19, 2024
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
3 changes: 2 additions & 1 deletion docs/mddocs/Quickstart/npu_quickstart.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,7 @@ For `ipex-llm` NPU support, please set the following environment variable with a
- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxV (code name Lunar Lake)**:

- For Intel Core™ Ultra 7 Processor 258V:

No runtime configuration required.

- For Intel Core™ Ultra 5 Processor 228V & 226V:
Expand All @@ -97,7 +98,7 @@ For `ipex-llm` NPU support, please set the following environment variable with a
- For **Intel Core™ Ultra Processors (Series 2) with processor number 2xxK (code name Arrow Lake)**:
```cmd
set IPEX_LLM_NPU_DISABLE_COMPILE_OPT=1
set IPEX_LLM_NPU_ARL=1
```

- For **Intel Core™ Ultra Processors (Series 1) with processor number 1xxH (code name Meteor Lake)**:
Expand Down
8 changes: 7 additions & 1 deletion python/llm/src/ipex_llm/transformers/npu_models/convert_mp.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,10 @@ def optimize_llm_pre(model: torch.nn.Module, qtype, mixed_precision,
os.environ["IPEX_LLM_NPU_USE_LEVEL0"] = "0"
os.environ["IPEX_LLM_NPU_DISABLE_COMPILE_OPT"] = "1"

if os.environ.get("IPEX_LLM_NPU_ARL", "0") == "1":
# For ARL support
os.environ["IPEX_LLM_NPU_DISABLE_COMPILE_OPT"] = "1"

if model.config.model_type == "baichuan":
# process NormHead module in Baichuan2 7B
if hasattr(model, 'lm_head') and model.lm_head is not None:
Expand Down Expand Up @@ -144,7 +148,9 @@ def optimize_llm_pre(model: torch.nn.Module, qtype, mixed_precision,
# do not split mlp down_proj for Qwen2-7B & sym_int8
n_splits_down_proj = 1
else:
n_splits_down_proj = 2 if model.config.intermediate_size == 18944 else 1
n_splits_down_proj = 2 if (model.config.intermediate_size == 18944 or
os.environ.get("IPEX_LLM_NPU_MTL", "0") == "1" or
os.environ.get("IPEX_LLM_NPU_ARL", "0") == "1") else 1
else:
invalidInputError(
model.config.hidden_size % quantization_group_size == 0 and
Expand Down
4 changes: 3 additions & 1 deletion python/llm/src/ipex_llm/transformers/npu_pipeline_model/convert_pipeline.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -205,7 +205,9 @@ def convert_llm(model: torch.nn.Module,
# do not split mlp down_proj for Qwen2-7B & sym_int8
n_splits_down_proj = 1
else:
n_splits_down_proj = 2 if model.config.intermediate_size == 18944 else 1
n_splits_down_proj = 2 if (model.config.intermediate_size == 18944 or
os.environ.get("IPEX_LLM_NPU_MTL", "0") == "1" or
os.environ.get("IPEX_LLM_NPU_ARL", "0") == "1") else 1
else:
n_splits_linear = model.config.hidden_size // group_size
n_splits_down_proj = model.config.intermediate_size // group_size
Expand Down
Loading