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fixes (#131)

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Awni Hannun 2023-12-11 09:26:49 -08:00 committed by GitHub
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2 changed files with 4 additions and 4 deletions
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python/tests/test_nn.py
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@ -107,17 +107,17 @@ class TestNN(mlx_tests.MLXTestCase):
# Test with reduction 'none' # Test with reduction 'none'
losses_none = nn.losses.binary_cross_entropy(inputs, targets, reduction="none") losses_none = nn.losses.binary_cross_entropy(inputs, targets, reduction="none")
expected_none = mx.array([[0.693147, 0.693147], [0.693147, 0.693147]]) expected_none = mx.array([[0.693147, 0.693147], [0.693147, 0.693147]])
self.assertTrue(mx.array_equal(losses_none, expected_none)) self.assertTrue(mx.allclose(losses_none, expected_none))
# Test with reduction 'mean' # Test with reduction 'mean'
losses_mean = nn.losses.binary_cross_entropy(inputs, targets, reduction="mean") losses_mean = nn.losses.binary_cross_entropy(inputs, targets, reduction="mean")
expected_mean = mx.mean(expected_none) expected_mean = mx.mean(expected_none)
self.assertEqual(losses_mean, expected_mean) self.assertTrue(mx.allclose(losses_mean, expected_mean))
# Test with reduction 'sum' # Test with reduction 'sum'
losses_sum = nn.losses.binary_cross_entropy(inputs, targets, reduction="sum") losses_sum = nn.losses.binary_cross_entropy(inputs, targets, reduction="sum")
expected_sum = mx.sum(expected_none) expected_sum = mx.sum(expected_none)
self.assertEqual(losses_sum, expected_sum) self.assertTrue(mx.allclose(losses_sum, expected_sum))
def test_gelu(self): def test_gelu(self):
inputs = [1.15286231, -0.81037411, 0.35816911, 0.77484438, 0.66276414] inputs = [1.15286231, -0.81037411, 0.35816911, 0.77484438, 0.66276414]