Relaxing type requirements for slice_like op (apache#14097)

* Relaxing types for slice_like op

* Added test

* Fix typo in test

* Fix lint

src/operator/tensor/matrix_op.cc

@@ -661,7 +661,16 @@ Example::
  return std::vector<std::string>{"data", "shape_like"};
  })
 .set_attr<nnvm::FInferShape>("FInferShape", SliceLikeShape)
-.set_attr<nnvm::FInferType>("FInferType", ElemwiseType<2, 1>)
+.set_attr<nnvm::FInferType>("FInferType", [](const nnvm::NodeAttrs& attrs,
+ std::vector<int> *in_attrs,
+ std::vector<int> *out_attrs) {
+ CHECK_EQ(in_attrs->size(), 2) << " in operator " << attrs.name;
+ std::vector<int> checked_in_attrs = { (*in_attrs)[0] };
+ bool ret = !type_is_none((*in_attrs)[1]) &&
+ ElemwiseType<1, 1>(attrs, &checked_in_attrs, out_attrs);
+ (*in_attrs)[0] = checked_in_attrs[0];
+ return ret;
+ })
 .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_backward_slice_like"})
 .set_attr<FCompute>("FCompute<cpu>", SliceLikeForward<cpu>)
 .add_argument("data", "NDArray-or-Symbol", "Source input")

tests/python/unittest/test_operator.py

@@ -2515,6 +2515,20 @@ def test_slice_like():
  assert_allclose(xx, xgrad.asnumpy())
  assert_allclose(xgrad1.asnumpy(), mx.nd.zeros_like(xgrad1).asnumpy())
 
+@with_seed()
+def test_slice_like_different_types():
+ x = [[ 1., 2., 3., 4.],
+ [ 5., 6., 7., 8.],
+ [ 9., 10., 11., 12.]]
+
+ y = [[ 0., 0., 0.],
+ [ 0., 0., 0.]]
+
+ x = mx.nd.array(x)
+ y = mx.nd.array(y).astype('int32')
+ z = mx.nd.slice_like(x, y)
+ assert_allclose(z.asnumpy(), [[1,2,3],[5,6,7]])
+
 @with_seed()
 def test_flip():
  for ndim in range(1, 6):