wkcn commented on a change in pull request #17975:
URL: https://github.com/apache/incubator-mxnet/pull/17975#discussion_r428987267
##########
File path: tests/python/unittest/test_numpy_op.py
##########
@@ -9557,3 +9557,67 @@ def hybrid_forward(self, F, a):
elif grad_req == 'add':
assert_almost_equal(new_grad, old_grad + 1)
+
+@with_seed()
+@use_np
+def test_np_reduce():
+ from numpy.testing import assert_array_equal, assert_array_almost_equal
+ # a list of (dtype, decimal)
+ # The decimal of an integer is 0
+ dtypes = [('float16', 1),
+ ('float32', 4),
+ (np.int8, 0),
+ (np.uint8, 0),
+ (np.int32, 0),
+ (np.int64, 0),
+ (np.float16, 1),
+ (np.float32, 4),
+ (np.float64, 6)]
+ shapes = [
+ (),
+ (1,),
+ (5,),
+ (4, 3),
+ (3, 5),
+ (4, 4),
+ (4, 5),
+ (5, 5),
+ (5, 6),
+ (6, 6),
+ (6, 5, 6),
+ (2, 3, 3, 4),
+ (4, 2, 1, 2),
+ ]
+
+ def _get_data(case, dtype, shape):
+ data = _np.random.uniform(-1.0, 1.0, shape).astype(dtype)
+ assert data.size > 0
+ for v in case:
+ i = _np.random.randint(0, data.size)
+ data.ravel()[i] = v
+ return data
+
+ def _get_cases(decimal):
+ if decimal == 0:
+ # integer
+ return [()]
+ options = [_np.inf, -_np.inf, np.nan]
Review comment:
options = [_np.inf, -_np.inf, _np.nan]
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