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improve DPM solver test
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@ -18,14 +18,21 @@ def test_ddpm_diffusers():
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assert equal(diffusers_scheduler.timesteps, refiners_scheduler.timesteps)
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assert equal(diffusers_scheduler.timesteps, refiners_scheduler.timesteps)
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def test_dpm_solver_diffusers():
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@pytest.mark.parametrize("n_steps, last_step_first_order", [(5, False), (5, True), (30, False), (30, True)])
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def test_dpm_solver_diffusers(n_steps: int, last_step_first_order: bool):
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from diffusers import DPMSolverMultistepScheduler as DiffuserScheduler # type: ignore
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from diffusers import DPMSolverMultistepScheduler as DiffuserScheduler # type: ignore
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manual_seed(0)
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manual_seed(0)
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diffusers_scheduler = DiffuserScheduler(beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012)
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diffusers_scheduler = DiffuserScheduler(
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diffusers_scheduler.set_timesteps(30)
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beta_schedule="scaled_linear",
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refiners_scheduler = DPMSolver(num_inference_steps=30)
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beta_start=0.00085,
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beta_end=0.012,
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lower_order_final=False,
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euler_at_final=last_step_first_order,
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)
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diffusers_scheduler.set_timesteps(n_steps)
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refiners_scheduler = DPMSolver(num_inference_steps=n_steps, last_step_first_order=last_step_first_order)
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sample = randn(1, 3, 32, 32)
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sample = randn(1, 3, 32, 32)
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noise = randn(1, 3, 32, 32)
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noise = randn(1, 3, 32, 32)
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