use torch.testing.assertclose instead to get more details about error in cis (#35659)
* use torch.testing.assertclose instead to get more details about error in cis * fix * style * test_all * revert for I bert * fixes and updates * more image processing fixes * more image processors * fix mamba and co * style * less strick * ok I won't be strict * skip and be done * up
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@@ -167,7 +167,7 @@ class Emu3Text2TextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTe
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# Dynamic scaling does not change the RoPE embeddings until it receives an input longer than the original
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# maximum sequence length, so the outputs for the short input should match.
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if scaling_type == "dynamic":
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self.assertTrue(torch.allclose(original_short_output, scaled_short_output, atol=1e-5))
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torch.testing.assert_close(original_short_output, scaled_short_output, rtol=1e-5, atol=1e-5)
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else:
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self.assertFalse(torch.allclose(original_short_output, scaled_short_output, atol=1e-5))
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@@ -368,7 +368,7 @@ class Emu3Vision2TextModelTest(ModelTesterMixin, GenerationTesterMixin, Pipeline
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with torch.no_grad():
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out_ids = model(input_ids=input_ids, **inputs)[0]
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out_embeds = model(inputs_embeds=inputs_embeds, **inputs)[0]
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self.assertTrue(torch.allclose(out_embeds, out_ids))
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torch.testing.assert_close(out_embeds, out_ids)
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@unittest.skip(
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"Emu3 has a VQ module that uses `weight.data` directly in forward which prevent offloding on that module"
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