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Fix Device map for bitsandbytes tests #36800

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Merged
MekkCyber merged 2 commits into from
Mar 19, 2025
Merged

Fix Device map for bitsandbytes tests #36800

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fbd4b8a
fix
MekkCyber Mar 18, 2025
359d683
Merge branch 'main' into fix_tests_device_map
MekkCyber Mar 19, 2025
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32 changes: 31 additions & 1 deletion tests/quantization/bnb/test_4bit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -528,9 +528,39 @@ def test_multi_gpu_loading(self):
This tests that the model has been loaded and can be used correctly on a multi-GPU setup.
Let's just try to load a model on 2 GPUs and see if it works. The model we test has ~2GB of total, 3GB should suffice
"""
device_map = {
"transformer.word_embeddings": 0,
"transformer.word_embeddings_layernorm": 0,
"lm_head": 0,
"transformer.h.0": 0,
"transformer.h.1": 0,
"transformer.h.2": 0,
"transformer.h.3": 0,
"transformer.h.4": 0,
"transformer.h.5": 0,
"transformer.h.6": 0,
"transformer.h.7": 0,
"transformer.h.8": 0,
"transformer.h.9": 0,
"transformer.h.10": 1,
"transformer.h.11": 1,
"transformer.h.12": 1,
"transformer.h.13": 1,
"transformer.h.14": 1,
"transformer.h.15": 1,
"transformer.h.16": 1,
"transformer.h.17": 0,
"transformer.h.18": 0,
"transformer.h.19": 0,
"transformer.h.20": 0,
"transformer.h.21": 0,
"transformer.h.22": 0,
"transformer.h.23": 1,
"transformer.ln_f": 0,
}

model_parallel = AutoModelForCausalLM.from_pretrained(
self.model_name, load_in_4bit=True, device_map="balanced"
self.model_name, load_in_4bit=True, device_map=device_map
)

# Check correct device map
Expand Down
32 changes: 31 additions & 1 deletion tests/quantization/bnb/test_mixed_int8.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -682,9 +682,39 @@ def test_multi_gpu_loading(self):
This tests that the model has been loaded and can be used correctly on a multi-GPU setup.
Let's just try to load a model on 2 GPUs and see if it works. The model we test has ~2GB of total, 3GB should suffice
"""
device_map = {
"transformer.word_embeddings": 0,
"transformer.word_embeddings_layernorm": 0,
"lm_head": 0,
"transformer.h.0": 0,
"transformer.h.1": 0,
"transformer.h.2": 0,
"transformer.h.3": 0,
"transformer.h.4": 0,
"transformer.h.5": 0,
"transformer.h.6": 0,
"transformer.h.7": 0,
"transformer.h.8": 0,
"transformer.h.9": 0,
"transformer.h.10": 1,
"transformer.h.11": 1,
"transformer.h.12": 1,
"transformer.h.13": 1,
"transformer.h.14": 1,
"transformer.h.15": 1,
"transformer.h.16": 1,
"transformer.h.17": 0,
"transformer.h.18": 0,
"transformer.h.19": 0,
"transformer.h.20": 0,
"transformer.h.21": 0,
"transformer.h.22": 0,
"transformer.h.23": 1,
"transformer.ln_f": 0,
}

model_parallel = AutoModelForCausalLM.from_pretrained(
self.model_name, load_in_8bit=True, device_map="balanced"
self.model_name, load_in_8bit=True, device_map=device_map
)

# Check correct device map
Expand Down