diff options
| author |  Eugene Zhulenev <ezhulenev@google.com> | 2018-09-11 13:32:32 -0700 |
|---|---|---|
| committer | Eugene Zhulenev <ezhulenev@google.com> | 2018-09-11 13:32:32 -0700 |
| commit | 81b38a155adf5d527bce5c84cf90cd83c28da445 (patch) | |
| tree | 8d0310b4b06a4667447ac7d0b4c66ebd16efb903 /unsupported/test | |
| parent | c144bb355b74f4600156284e8202fcf9c0c135d8 (diff) | |
Fix compilation of tiled evaluation code with c++03
Diffstat (limited to 'unsupported/test')
| -rw-r--r-- | unsupported/test/cxx11_tensor_block_access.cpp | 14 | ||||
| -rw-r--r-- | unsupported/test/cxx11_tensor_shuffling.cpp | 10 |
2 files changed, 12 insertions, 12 deletions
diff --git a/unsupported/test/cxx11_tensor_block_access.cpp b/unsupported/test/cxx11_tensor_block_access.cpp index eec282ba7..ad12ae557 100644 --- a/unsupported/test/cxx11_tensor_block_access.cpp +++ b/unsupported/test/cxx11_tensor_block_access.cpp @@ -535,7 +535,7 @@ static void test_block_cwise_unary_io_basic() { DSizes<Index, NumDims> block_sizes = RandomDims<NumDims>(); DSizes<Index, NumDims> strides(ComputeStrides<Layout, NumDims>(block_sizes)); - const auto total_size = block_sizes.TotalSize(); + const Index total_size = block_sizes.TotalSize(); // Create a random input tensors. T* input_data = GenerateRandomData<T>(total_size); @@ -562,12 +562,12 @@ static void test_block_cwise_unary_io_squeeze_ones() { DSizes<Index, 5> block_sizes(1, 2, 1, 3, 1); DSizes<Index, 5> strides(ComputeStrides<Layout, 5>(block_sizes)); - const auto total_size = block_sizes.TotalSize(); + const Index total_size = block_sizes.TotalSize(); // Create a random input tensors. - auto* input_data = GenerateRandomData<float>(total_size); + float* input_data = GenerateRandomData<float>(total_size); - auto* output_data = new float[total_size]; + float* output_data = new float[total_size]; UnaryFunctor functor; TensorBlockCwiseUnaryIO::Run(functor, block_sizes, strides, output_data, strides, input_data); @@ -599,13 +599,13 @@ static void test_block_cwise_unary_io_zero_strides() { input_strides[4] = 0; // Generate random data. - auto* input_data = GenerateRandomData<float>(input_sizes.TotalSize()); + float* input_data = GenerateRandomData<float>(input_sizes.TotalSize()); DSizes<Index, 5> output_sizes = rnd_dims; DSizes<Index, 5> output_strides(ComputeStrides<Layout, 5>(output_sizes)); - const auto output_total_size = output_sizes.TotalSize(); - auto* output_data = new float[output_total_size]; + const Index output_total_size = output_sizes.TotalSize(); + float* output_data = new float[output_total_size]; UnaryFunctor functor; TensorBlockCwiseUnaryIO::Run(functor, output_sizes, output_strides, diff --git a/unsupported/test/cxx11_tensor_shuffling.cpp b/unsupported/test/cxx11_tensor_shuffling.cpp index 467df39c7..062dd1c0f 100644 --- a/unsupported/test/cxx11_tensor_shuffling.cpp +++ b/unsupported/test/cxx11_tensor_shuffling.cpp @@ -81,12 +81,12 @@ static void test_expr_shuffling() Tensor<float, 4, DataLayout> expected; expected = tensor.shuffle(shuffles); - Tensor<float, 4, DataLayout> result(5,7,3,2); + Tensor<float, 4, DataLayout> result(5, 7, 3, 2); - array<ptrdiff_t, 4> src_slice_dim{{2,3,1,7}}; - array<ptrdiff_t, 4> src_slice_start{{0,0,0,0}}; - array<ptrdiff_t, 4> dst_slice_dim{{1,7,3,2}}; - array<ptrdiff_t, 4> dst_slice_start{{0,0,0,0}}; + array<ptrdiff_t, 4> src_slice_dim({2, 3, 1, 7}); + array<ptrdiff_t, 4> src_slice_start({0, 0, 0, 0}); + array<ptrdiff_t, 4> dst_slice_dim({1, 7, 3, 2}); + array<ptrdiff_t, 4> dst_slice_start({0, 0, 0, 0}); for (int i = 0; i < 5; ++i) { result.slice(dst_slice_start, dst_slice_dim) = |