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added tri / tril / triu (#170)
* added tri / tril / triu * fixed tests * ctest tests * tri overload and simplified tests * changes from comment * more tests for m * ensure assert if not 2-D * remove broadcast_to * minor tweaks --------- Co-authored-by: Awni Hannun <awni@apple.com>
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@@ -320,6 +320,30 @@ class TestOps(mlx_tests.MLXTestCase):
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self.assertFalse(mx.array_equal(x, y))
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self.assertTrue(mx.array_equal(x, y, equal_nan=True))
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def test_tri(self):
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for shape in [[4], [4, 4], [2, 10]]:
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for diag in [-1, 0, 1, -2]:
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self.assertEqualArray(
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mx.tri(*shape, k=diag), mx.array(np.tri(*shape, k=diag))
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)
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def test_tril(self):
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mt = mx.random.normal((10, 10))
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nt = np.array(mt)
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for diag in [-1, 0, 1, -2]:
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self.assertEqualArray(mx.tril(mt, diag), mx.array(np.tril(nt, diag)))
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with self.assertRaises(Exception):
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mx.tril(mx.zeros((1)))
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def test_triu(self):
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mt = mx.random.normal((10, 10))
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nt = np.array(mt)
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for diag in [-1, 0, 1, -2]:
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self.assertEqualArray(mx.triu(mt, diag), mx.array(np.triu(nt, diag)))
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with self.assertRaises(Exception):
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mx.triu(mx.zeros((1)))
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def test_minimum(self):
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x = mx.array([0.0, -5, 10.0])
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y = mx.array([1.0, -7.0, 3.0])
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