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Triplet Loss (#211)

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* Triplet Loss

* Requested Changes

* Margin to alpha
This commit is contained in:
Emircan Erol
2023-12-19 23:37:12 +03:00
committed by GitHub
parent dfa9f4bc58
commit e549f84532
3 changed files with 69 additions and 0 deletions
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26
python/tests/test_nn.py
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@@ -239,6 +239,32 @@ class TestNN(mlx_tests.MLXTestCase):
expected_sum = mx.sum(expected_none)
self.assertTrue(mx.allclose(losses_sum, expected_sum))
def test_triplet_loss(self):
anchors = mx.array([[1, 2, 3], [1, 2, 3]])
positives = mx.array([[4, 5, 6], [0, -1, 2]])
negatives = mx.array([[7, 8, 9], [3, 2, 3]])
# Test with reduction 'none'
losses_none = nn.losses.triplet_loss(
anchors, positives, negatives, reduction="none"
)
expected_none = mx.array([0, 2.31662])
self.assertTrue(mx.allclose(losses_none, expected_none))
# Test with reduction 'mean'
losses_mean = nn.losses.triplet_loss(
anchors, positives, negatives, reduction="mean"
)
expected_mean = mx.mean(expected_none)
self.assertTrue(mx.allclose(losses_mean, expected_mean))
# Test with reduction 'sum'
losses_sum = nn.losses.triplet_loss(
anchors, positives, negatives, reduction="sum"
)
expected_sum = mx.sum(expected_none)
self.assertTrue(mx.allclose(losses_sum, expected_sum))
def test_gelu(self):
inputs = [1.15286231, -0.81037411, 0.35816911, 0.77484438, 0.66276414]