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check timesteps stay the same in bfloat16

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Pierre Chapuis 2024-09-25 23:17:58 +02:00
parent 5741c13f28
commit bdba91312b
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1 changed files with 7 additions and 1 deletions
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8
tests/foundationals/latent_diffusion/test_solvers.py
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@ -320,4 +320,10 @@ def test_dpm_bfloat16(test_device: Device):
if test_device.type == "cpu": if test_device.type == "cpu":
warn("not running on CPU, skipping") warn("not running on CPU, skipping")
pytest.skip() pytest.skip()
DPMSolver(num_inference_steps=5, dtype=torch.bfloat16) # should not raise
n_steps = 5
manual_seed(0)
solver_f32 = DPMSolver(num_inference_steps=n_steps, dtype=torch.float32)
solver_bf16 = DPMSolver(num_inference_steps=n_steps, dtype=torch.bfloat16)
assert torch.equal(solver_bf16.timesteps, solver_f32.timesteps)