Reformat code
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@ -140,20 +140,12 @@ class LayerTest(testing.TestCase):
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return x
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return x
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layer = ActivityRegularizer(activity_regularizer="l1")
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layer = ActivityRegularizer(activity_regularizer="l1")
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layer(
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layer(np.ones((1,)))
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np.ones(
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1,
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)
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)
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self.assertLen(layer.losses, 1)
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self.assertLen(layer.losses, 1)
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self.assertAllClose(layer.losses[0], 0.01)
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self.assertAllClose(layer.losses[0], 0.01)
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# losses are reset upon call
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# losses are reset upon call
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layer(
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layer(np.ones((1,)))
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np.ones(
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1,
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)
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)
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self.assertLen(layer.losses, 1)
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self.assertLen(layer.losses, 1)
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self.assertAllClose(layer.losses[0], 0.01)
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self.assertAllClose(layer.losses[0], 0.01)
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@ -164,30 +156,18 @@ class LayerTest(testing.TestCase):
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return x
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return x
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layer = LossLayer()
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layer = LossLayer()
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layer(
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layer(np.ones((1,)))
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np.ones(
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1,
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)
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)
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self.assertLen(layer.losses, 1)
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self.assertLen(layer.losses, 1)
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self.assertAllClose(layer.losses[0], 1.0)
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self.assertAllClose(layer.losses[0], 1.0)
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# losses are reset upon call
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# losses are reset upon call
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layer = LossLayer()
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layer = LossLayer()
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layer(
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layer(np.ones((1,)))
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np.ones(
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1,
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)
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)
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self.assertLen(layer.losses, 1)
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self.assertLen(layer.losses, 1)
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self.assertAllClose(layer.losses[0], 1.0)
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self.assertAllClose(layer.losses[0], 1.0)
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# It works inside a model
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# It works inside a model
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model = models.Sequential([layer])
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model = models.Sequential([layer])
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model(
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model(np.ones((1,)))
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np.ones(
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1,
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)
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)
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self.assertLen(model.losses, 1)
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self.assertLen(model.losses, 1)
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self.assertAllClose(model.losses[0], 1.0)
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self.assertAllClose(model.losses[0], 1.0)
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