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change llm model test from gemma3 to qwen to skip auth #3807

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merged 2 commits into from
Sep 8, 2025
Merged

change llm model test from gemma3 to qwen to skip auth #3807

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8c3fdc4
fix the indentation issue
lanluo-nvidia Sep 5, 2025
741236e
change llm model test from gemma3 to qwen to skip hf auth
lanluo-nvidia Sep 5, 2025
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9 changes: 6 additions & 3 deletions tests/py/dynamo/models/test_llm_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,13 +15,13 @@

@pytest.mark.unit
@pytest.mark.parametrize("precision", ["FP16", "BF16", "FP32"])
def test_gemma3_decoder_layer(precision):
def test_llm_decoder_layer(precision):

with torch.inference_mode():
args = argparse.Namespace()
args.debug = False
args.num_tokens = 128
args.model = "google/gemma-3-1b-it"
args.model = "Qwen/Qwen2.5-0.5B-Instruct"
args.precision = precision
args.min_block_size = 1
args.prompt = "What is parallel programming ?"
Expand All @@ -44,7 +44,10 @@ def test_gemma3_decoder_layer(precision):
.to("cuda")
)

register_sdpa._SDPA_MAPPING[args.model](model_config=model.config)
if register_sdpa._SDPA_MAPPING.get(args.model, None) is not None:
register_sdpa._SDPA_MAPPING[args.model](model_config=model.config)
else:
register_sdpa._SDPA_MAPPING["default"](model_config=model.config)
model = model.to(dtype)
# use randint will generate nan values in the logits, use a fixed input_ids for now
# input_ids = torch.randint(0, model.config.vocab_size, (1, args.num_tokens)).to("cuda")
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7 changes: 4 additions & 3 deletions tools/llm/torchtrt_ext/sdpa_converter.py
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Expand Up @@ -257,9 +257,10 @@ def scaled_dot_product_attention(
attn_bias = impl.unary.log(
ctx, target, source_ir, name + "_log", one_minus_temp_mask
)
scaled_add_attn_bias = impl.elementwise.add(
ctx, target, source_ir, name + "_attn_bias_add", mm, attn_bias
)

scaled_add_attn_bias = impl.elementwise.add(
ctx, target, source_ir, name + "_attn_bias_add", mm, attn_bias
)
softmax = impl.normalization.softmax(
ctx, target, source_ir, name + "_softmax", scaled_add_attn_bias, -1, False
)
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