diff options
Diffstat (limited to 'tensorflow/core/kernels/sparse_add_op_test.cc')
| -rw-r--r-- | tensorflow/core/kernels/sparse_add_op_test.cc | 26 |
1 files changed, 16 insertions, 10 deletions
diff --git a/tensorflow/core/kernels/sparse_add_op_test.cc b/tensorflow/core/kernels/sparse_add_op_test.cc index 7baf27c1d0..4cad02bbee 100644 --- a/tensorflow/core/kernels/sparse_add_op_test.cc +++ b/tensorflow/core/kernels/sparse_add_op_test.cc @@ -61,8 +61,10 @@ TEST_F(SparseAddOpTest, TwoD_AddSparseTensorWithSelf) { // [3 4] const auto indices_shape = TensorShape({4, 2}); - const gtl::ArraySlice<int64> indices = {0, 1, 1, 0, 2, 0, 2, 1}; - const gtl::ArraySlice<int64> shape = {3, 2}; + std::initializer_list<int64> in{ 0, 1, 1, 0, 2, 0, 2, 1 }; + const gtl::ArraySlice<int64> indices(in); + std::initializer_list<int64> sh{ 3, 2 }; + const gtl::ArraySlice<int64> shape(sh); #define ADD_TENSOR_INPUT() \ AddInputFromArray<int64>(indices_shape, indices); \ @@ -99,8 +101,10 @@ TEST_F(SparseAddOpTest, TwoD_AddSparseTensorWithSelf) { DataType val_dtype = tensorflow::DataTypeToEnum<VALTYPE>::value; \ \ const auto indices_shape = TensorShape({4, 2}); \ - const gtl::ArraySlice<int64> indices = {0, 1, 1, 0, 2, 0, 2, 1}; \ - const gtl::ArraySlice<int64> shape = {3, 2}; \ + std::initializer_list<int64> in{0, 1, 1, 0, 2, 0, 2, 1}; \ + const gtl::ArraySlice<int64> indices(in); \ + std::initializer_list<int64> sh{3, 2}; \ + const gtl::ArraySlice<int64> shape(sh); \ \ AddInputFromArray<int64>(indices_shape, indices); \ AddInputFromArray<VALTYPE>(TensorShape({4}), {1, 2, 3, 4}); \ @@ -154,8 +158,10 @@ RUN_TEST(complex128); MakeOp<VALTYPE>(); \ DataType val_dtype = tensorflow::DataTypeToEnum<VALTYPE>::value; \ const auto indices_shape = TensorShape({4, 2}); \ - const gtl::ArraySlice<int64> indices = {0, 1, 1, 0, 2, 0, 2, 1}; \ - const gtl::ArraySlice<int64> shape = {3, 2}; \ + std::initializer_list<int64> in{0, 1, 1, 0, 2, 0, 2, 1}; \ + const gtl::ArraySlice<int64> indices(in); \ + std::initializer_list<int64> sh{3, 2}; \ + const gtl::ArraySlice<int64> shape(sh); \ \ auto AddSparseTensor = [indices, indices_shape, shape, \ this](bool negate) { \ @@ -192,10 +198,10 @@ RUN_TEST(complex128); } RUN_TEST(int64, 1); -RUN_TEST(float, 1e-3); -RUN_TEST(double, 1e-3); -RUN_TEST(complex64, 1e-3); -RUN_TEST(complex128, 1e-3); +RUN_TEST(float, 1e-3f); +RUN_TEST(double, 1e-3f); +RUN_TEST(complex64, 1e-3f); +RUN_TEST(complex128, 1e-3f); #undef RUN_TEST } // namespace |