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| 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/cxx11_tensor_block_access.cpp | |
| parent | c144bb355b74f4600156284e8202fcf9c0c135d8 (diff) | |
Fix compilation of tiled evaluation code with c++03
Diffstat (limited to 'unsupported/test/cxx11_tensor_block_access.cpp')
| -rw-r--r-- | unsupported/test/cxx11_tensor_block_access.cpp | 14 |
1 files changed, 7 insertions, 7 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, |