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[Tests] Reduce the model size in the lumina test (#8985)

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* Reduced model size for lumina-tests

* Handled failing tests
This commit is contained in:
M Saqlain
2024-09-23 20:35:50 +05:30
committed by GitHub
parent ba5af5aebb
commit 14f6464bef
1 changed files with 6 additions and 6 deletions
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12
tests/pipelines/lumina/test_lumina_nextdit.py
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@@ -34,19 +34,19 @@ class LuminaText2ImgPipelinePipelineFastTests(unittest.TestCase, PipelineTesterM
def get_dummy_components(self):
torch.manual_seed(0)
transformer = LuminaNextDiT2DModel(
sample_size=16,
sample_size=4,
patch_size=2,
in_channels=4,
hidden_size=24,
hidden_size=4,
num_layers=2,
num_attention_heads=3,
num_attention_heads=1,
num_kv_heads=1,
multiple_of=16,
ffn_dim_multiplier=None,
norm_eps=1e-5,
learn_sigma=True,
qk_norm=True,
cross_attention_dim=32,
cross_attention_dim=8,
scaling_factor=1.0,
)
torch.manual_seed(0)
@@ -57,8 +57,8 @@ class LuminaText2ImgPipelinePipelineFastTests(unittest.TestCase, PipelineTesterM
torch.manual_seed(0)
config = GemmaConfig(
head_dim=4,
hidden_size=32,
head_dim=2,
hidden_size=8,
intermediate_size=37,
num_attention_heads=4,
num_hidden_layers=2,