Update LFNA
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@@ -14,14 +14,14 @@ from xautodl import spaces
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from xautodl.xlayers import super_core
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class TestSuperAttention(unittest.TestCase):
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class TestSuperSelfAttention(unittest.TestCase):
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"""Test the super attention layer."""
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def _internal_func(self, inputs, model):
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outputs = model(inputs)
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abstract_space = model.abstract_search_space
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print(
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"The abstract search space for SuperAttention is:\n{:}".format(
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"The abstract search space for SuperSelfAttention is:\n{:}".format(
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abstract_space
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)
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)
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@@ -36,7 +36,7 @@ class TestSuperAttention(unittest.TestCase):
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def test_super_attention(self):
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proj_dim = spaces.Categorical(12, 24, 36)
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num_heads = spaces.Categorical(2, 4, 6)
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model = super_core.SuperAttention(10, proj_dim, num_heads)
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model = super_core.SuperSelfAttention(10, proj_dim, num_heads)
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print(model)
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model.apply_verbose(True)
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