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Adding Memset; optimising MecopyDeviceToHost by removing double copying;
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@@ -19,10 +19,23 @@
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#include "main.h"
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#include <unsupported/Eigen/CXX11/Tensor>
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#include<stdint.h>
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void test_device_sycl(const Eigen::SyclDevice &sycl_device) {
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std::cout <<"Helo from ComputeCpp: the requested device exists and the device name is : "
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<< sycl_device.m_queue.get_device(). template get_info<cl::sycl::info::device::name>() <<std::endl;;
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int sizeDim1 = 100;
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array<int, 1> tensorRange = {{sizeDim1}};
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Tensor<int, 1> in(tensorRange);
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Tensor<int, 1> in1(tensorRange);
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memset(in1.data(), 1,in1.dimensions().TotalSize()*sizeof(int));
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int * gpu_in_data = static_cast<int*>(sycl_device.allocate(in.dimensions().TotalSize()*sizeof(int)));
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sycl_device.memset(gpu_in_data, 1,in.dimensions().TotalSize()*sizeof(int) );
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sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.dimensions().TotalSize()*sizeof(int) );
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for (int i=0; i<in.dimensions().TotalSize(); i++)
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VERIFY_IS_APPROX(in(i), in1(i));
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sycl_device.deallocate(gpu_in_data);
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}
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void test_cxx11_tensor_device_sycl() {
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cl::sycl::gpu_selector s;
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