MAINT: avoid synchronization/graph break in percentile

any(...) is bad for torch dynamo, so remove the check. The same check is done
internally in torch.quantile, so we're only paying by a RuntimeError instead
of NumPy's ValueError.

Author: ev-br

torch_np/_detail/_reductions.py

@@ -390,9 +390,6 @@ def quantile(
     if interpolation is not None:
         raise ValueError("'interpolation' argument is deprecated; use 'method' instead")
 
-    if (0 > q).any() or (q > 1).any():
-        raise ValueError("Quantiles must be in range [0, 1], got %s" % q)
-
     if not a.dtype.is_floating_point:
         dtype = _dtypes_impl.default_float_dtype
         a = a.to(dtype)

torch_np/tests/numpy_tests/lib/test_function_base.py

@@ -2900,10 +2900,10 @@ def test_scalar_q_2(self):
     def test_exception(self):
         assert_raises((RuntimeError, ValueError), np.percentile, [1, 2], 56,
                       method='foobar')
-        assert_raises(ValueError, np.percentile, [1], 101)
-        assert_raises(ValueError, np.percentile, [1], -1)
-        assert_raises(ValueError, np.percentile, [1], list(range(50)) + [101])
-        assert_raises(ValueError, np.percentile, [1], list(range(50)) + [-0.1])
+        assert_raises((RuntimeError, ValueError), np.percentile, [1], 101)
+        assert_raises((RuntimeError, ValueError), np.percentile, [1], -1)
+        assert_raises((RuntimeError, ValueError), np.percentile, [1], list(range(50)) + [101])
+        assert_raises((RuntimeError, ValueError), np.percentile, [1], list(range(50)) + [-0.1])
 
     def test_percentile_list(self):
         assert_equal(np.percentile([1, 2, 3], 0), 1)