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[tests] fix Pixart Sigma tests #7966

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Merged
sayakpaul merged 6 commits into from
May 19, 2024
Merged

[tests] fix Pixart Sigma tests #7966

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162b463
checking tests
sayakpaul May 17, 2024
49c3c99
checking ii.
sayakpaul May 17, 2024
8b05b7e
remove prints.
sayakpaul May 17, 2024
f3540f7
test_pixart_1024
sayakpaul May 17, 2024
43dd827
fix 1024.
sayakpaul May 17, 2024
82513da
Merge branch 'main' into pixart-sigma-tests
sayakpaul May 17, 2024
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18 changes: 14 additions & 4 deletions tests/pipelines/pixart_sigma/test_pixart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -336,23 +336,28 @@ def test_pixart_1024(self):
image = pipe(prompt, generator=generator, num_inference_steps=2, output_type="np").images

image_slice = image[0, -3:, -3:, -1]
expected_slice = np.array([0.0742, 0.0835, 0.2114, 0.0295, 0.0784, 0.2361, 0.1738, 0.2251, 0.3589])
expected_slice = np.array([0.4517, 0.4446, 0.4375, 0.449, 0.4399, 0.4365, 0.4583, 0.4629, 0.4473])
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@sayakpaul sayakpaul May 17, 2024

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Pretty sure these obtained on a different hardware.

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@lawrence-cj lawrence-cj May 17, 2024

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I got the expected result on V100 GPU. But, I remember I passed the text before.

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@sayakpaul sayakpaul May 17, 2024

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Our runner is based on t4. But not a big problem.

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@lawrence-cj lawrence-cj May 17, 2024

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Got it.


max_diff = numpy_cosine_similarity_distance(image_slice.flatten(), expected_slice)
self.assertLessEqual(max_diff, 1e-4)

def test_pixart_512(self):
generator = torch.Generator("cpu").manual_seed(0)

pipe = PixArtSigmaPipeline.from_pretrained(self.ckpt_id_512, torch_dtype=torch.float16)
transformer = Transformer2DModel.from_pretrained(
self.ckpt_id_512, subfolder="transformer", torch_dtype=torch.float16
)
pipe = PixArtSigmaPipeline.from_pretrained(
self.ckpt_id_1024, transformer=transformer, torch_dtype=torch.float16
)
pipe.enable_model_cpu_offload()

prompt = self.prompt

image = pipe(prompt, generator=generator, num_inference_steps=2, output_type="np").images

image_slice = image[0, -3:, -3:, -1]
expected_slice = np.array([0.3477, 0.3882, 0.4541, 0.3413, 0.3821, 0.4463, 0.4001, 0.4409, 0.4958])
expected_slice = np.array([0.0479, 0.0378, 0.0217, 0.0942, 0.064, 0.0791, 0.2073, 0.1975, 0.2017])

max_diff = numpy_cosine_similarity_distance(image_slice.flatten(), expected_slice)
self.assertLessEqual(max_diff, 1e-4)
Expand Down Expand Up @@ -394,7 +399,12 @@ def test_pixart_1024_without_resolution_binning(self):
def test_pixart_512_without_resolution_binning(self):
generator = torch.manual_seed(0)

pipe = PixArtSigmaPipeline.from_pretrained(self.ckpt_id_512, torch_dtype=torch.float16)
transformer = Transformer2DModel.from_pretrained(
self.ckpt_id_512, subfolder="transformer", torch_dtype=torch.float16
)
pipe = PixArtSigmaPipeline.from_pretrained(
self.ckpt_id_1024, transformer=transformer, torch_dtype=torch.float16
)
pipe.enable_model_cpu_offload()

prompt = self.prompt
Expand Down