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Fix compilation of tiled evaluation code with c++03

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This commit is contained in:
Eugene Zhulenev
2018-09-11 13:32:32 -07:00
parent c144bb355b
commit 81b38a155a
9 changed files with 30 additions and 35 deletions
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14
unsupported/test/cxx11_tensor_block_access.cpp
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@@ -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,

10
unsupported/test/cxx11_tensor_shuffling.cpp
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@@ -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) =