Adding EIGEN_STRONG_INLINE back; using size() instead of dimensions.TotalSize() on Tensor.

This commit is contained in:
Mehdi Goli
2016-11-10 19:16:31 +00:00
parent 12387abad5
commit 3be3963021
2 changed files with 15 additions and 15 deletions

View File

@@ -29,11 +29,11 @@ void test_device_sycl(const Eigen::SyclDevice &sycl_device) {
array<int, 1> tensorRange = {{sizeDim1}};
Tensor<int, 1> in(tensorRange);
Tensor<int, 1> in1(tensorRange);
memset(in1.data(), 1,in1.dimensions().TotalSize()*sizeof(int));
int * gpu_in_data = static_cast<int*>(sycl_device.allocate(in.dimensions().TotalSize()*sizeof(int)));
sycl_device.memset(gpu_in_data, 1,in.dimensions().TotalSize()*sizeof(int) );
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.dimensions().TotalSize()*sizeof(int) );
for (int i=0; i<in.dimensions().TotalSize(); i++)
memset(in1.data(), 1,in1.size()*sizeof(int));
int * gpu_in_data = static_cast<int*>(sycl_device.allocate(in.size()*sizeof(int)));
sycl_device.memset(gpu_in_data, 1,in.size()*sizeof(int) );
sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size()*sizeof(int) );
for (int i=0; i<in.size(); i++)
VERIFY_IS_APPROX(in(i), in1(i));
sycl_device.deallocate(gpu_in_data);
}