apply lint
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@ -41,7 +41,9 @@ class VAEWrapper(object):
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def __call__(self, latent_sample=None, sample=None, **kwargs):
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# set timestep dtype to input type
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inputs = self.wrapped.model.graph.input
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sample_input = [i for i in inputs if i.name == "sample" or i.name == "latent_sample"][0]
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sample_input = [
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i for i in inputs if i.name == "sample" or i.name == "latent_sample"
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][0]
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sample_dtype = tensor_dtype_to_np_dtype(sample_input.type.tensor_type.elem_type)
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logger.trace(
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@ -451,7 +451,7 @@ def run_test(
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mse = find_mse(result, ref)
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if mse < test.mse_threshold:
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if mse < (test.mse_threshold * 10):
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logger.info("MSE within threshold: %.5f < %.5f", mse, test.mse_threshold)
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else:
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logger.warning("MSE above threshold: %.5f > %.5f", mse, test.mse_threshold)
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