haojin2 commented on a change in pull request #17254: [numpy] change unary
infer type
URL: https://github.com/apache/incubator-mxnet/pull/17254#discussion_r365556412
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File path: tests/python/unittest/test_numpy_op.py
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@@ -1832,6 +1832,36 @@ def hybrid_forward(self, F, a, *args, **kwargs):
funcs = {
'absolute' : (lambda x: -1. * (x < 0) + (x > 0), -1.0, 1.0),
+ 'logical_not' : (None, -1.0, 1.0),
+ 'negative' : (lambda x: -1. * _np.ones(x.shape), -1.0, 1.0),
+ 'reciprocal' : (lambda x: -1. / (x ** 2), 0.01, 1.0),
+ 'sign' : (None, -1.0, 1.0),
+ 'square' : (lambda x: 2.0 * x, -1.0, 1.0),
+ }
+ if has_tvm_ops():
+ funcs['rad2deg'] = (lambda x: 180. / _np.pi * _np.ones(x.shape), -1.0,
1.0)
+ funcs['deg2rad'] = (lambda x: _np.pi / 180. * _np.ones(x.shape), -1.0,
1.0)
+ ndim = random.choice([2, 3, 4])
+ shape = random.choice([rand_shape_nd(ndim, dim=3), (1, 0, 2)])
+ for shape in [rand_shape_nd(ndim, dim=3), (1, 0, 2)]:
+ for func, func_data in funcs.items():
+ ref_grad, low, high = func_data
+ check_unary_func(func, ref_grad, shape, low, high)
+
+
+@with_seed()
+@use_np
+def test_np_mixedType_unary_funcs():
+ class TestUnary2(HybridBlock):
Review comment:
Change the name to `TestMixedUnary`
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