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Add drop args to benchmark.py
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@ -199,7 +199,11 @@ class BenchmarkRunner:
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num_classes=kwargs.pop('num_classes', None),
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in_chans=3,
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global_pool=kwargs.pop('gp', 'fast'),
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scriptable=torchscript)
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scriptable=torchscript,
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drop_rate=kwargs.pop('drop', 0.),
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drop_path_rate=kwargs.pop('drop_path', None),
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drop_block_rate=kwargs.pop('drop_block', None),
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)
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self.model.to(
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device=self.device,
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dtype=self.model_dtype,
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