diff options
author | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2016-04-29 15:19:19 -0700 |
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committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2016-04-29 15:19:19 -0700 |
commit | c07404f6a1324f515841695666ca91af70f8b8a5 (patch) | |
tree | 4f4c80e9a2fbc71a18cc4f0955ba453d2072ac4e /unsupported/test/cxx11_tensor_argmax.cpp | |
parent | ba32ded021b1cf6224ec7c0b5638af079076e99e (diff) |
Restore Tensor support for non c++11 compilers
Diffstat (limited to 'unsupported/test/cxx11_tensor_argmax.cpp')
-rw-r--r-- | unsupported/test/cxx11_tensor_argmax.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/unsupported/test/cxx11_tensor_argmax.cpp b/unsupported/test/cxx11_tensor_argmax.cpp index 482dfa7de..037767270 100644 --- a/unsupported/test/cxx11_tensor_argmax.cpp +++ b/unsupported/test/cxx11_tensor_argmax.cpp @@ -64,7 +64,7 @@ static void test_argmax_tuple_reducer() Tensor<Tuple<DenseIndex, float>, 0, DataLayout> reduced; DimensionList<DenseIndex, 4> dims; reduced = index_tuples.reduce( - dims, internal::ArgMaxTupleReducer<Tuple<DenseIndex, float>>()); + dims, internal::ArgMaxTupleReducer<Tuple<DenseIndex, float> >()); Tensor<float, 0, DataLayout> maxi = tensor.maximum(); @@ -74,7 +74,7 @@ static void test_argmax_tuple_reducer() for (int d = 0; d < 3; ++d) reduce_dims[d] = d; Tensor<Tuple<DenseIndex, float>, 1, DataLayout> reduced_by_dims(7); reduced_by_dims = index_tuples.reduce( - reduce_dims, internal::ArgMaxTupleReducer<Tuple<DenseIndex, float>>()); + reduce_dims, internal::ArgMaxTupleReducer<Tuple<DenseIndex, float> >()); Tensor<float, 1, DataLayout> max_by_dims = tensor.maximum(reduce_dims); @@ -96,7 +96,7 @@ static void test_argmin_tuple_reducer() Tensor<Tuple<DenseIndex, float>, 0, DataLayout> reduced; DimensionList<DenseIndex, 4> dims; reduced = index_tuples.reduce( - dims, internal::ArgMinTupleReducer<Tuple<DenseIndex, float>>()); + dims, internal::ArgMinTupleReducer<Tuple<DenseIndex, float> >()); Tensor<float, 0, DataLayout> mini = tensor.minimum(); @@ -106,7 +106,7 @@ static void test_argmin_tuple_reducer() for (int d = 0; d < 3; ++d) reduce_dims[d] = d; Tensor<Tuple<DenseIndex, float>, 1, DataLayout> reduced_by_dims(7); reduced_by_dims = index_tuples.reduce( - reduce_dims, internal::ArgMinTupleReducer<Tuple<DenseIndex, float>>()); + reduce_dims, internal::ArgMinTupleReducer<Tuple<DenseIndex, float> >()); Tensor<float, 1, DataLayout> min_by_dims = tensor.minimum(reduce_dims); |