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[tests] fix autoencoderkl dtype tests #14190

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[tests] fix autoencoderkl dtype tests #14190

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7 changes: 7 additions & 0 deletions tests/models/autoencoders/test_models_autoencoder_kl.py
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Expand Up @@ -81,6 +81,13 @@ def get_dummy_inputs(self):


class TestAutoencoderKL(AutoencoderKLTesterConfig, ModelTesterMixin, TrainingTesterMixin):
@pytest.mark.parametrize("dtype", [torch.float16, torch.bfloat16], ids=["fp16", "bf16"])
def test_from_save_pretrained_dtype_inference(self, tmp_path, dtype):
# The reference and reloaded models hold identical weights, so any output difference is
# half-precision kernel nondeterminism between the two module instances rather than a save/load
# fidelity issue. The default 1e-4 tolerance is too tight for that fp16/bf16 noise on some GPUs.
super().test_from_save_pretrained_dtype_inference(tmp_path, dtype, atol=1e-3)

def test_gradient_checkpointing_is_applied(self):
expected_set = {"Decoder", "Encoder", "UNetMidBlock2D"}
super().test_gradient_checkpointing_is_applied(expected_set=expected_set)
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