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Converting all parallel for lambda to functor in order to prevent kernel duplication name error; adding tensorConcatinationOp backend for sycl.

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This commit is contained in:
Mehdi Goli
2016-12-16 19:46:45 +00:00
parent 7949849ebc
commit 35bae513a0
16 changed files with 588 additions and 264 deletions
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60
unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
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@@ -43,6 +43,18 @@ namespace Eigen {
size_t m_offset;
};
struct memsetkernelFunctor{
typedef cl::sycl::accessor<uint8_t, 1, cl::sycl::access::mode::discard_write, cl::sycl::access::target::global_buffer> AccType;
AccType m_acc;
const size_t m_rng, m_c;
memsetkernelFunctor(AccType acc, const size_t rng, const size_t c):m_acc(acc), m_rng(rng), m_c(c){}
void operator()(cl::sycl::nd_item<1> itemID) {
auto globalid=itemID.get_global_linear_id();
if (globalid< m_rng) m_acc[globalid] = m_c;
}
};
EIGEN_STRONG_INLINE auto get_sycl_supported_devices()->decltype(cl::sycl::device::get_devices()){
auto devices = cl::sycl::device::get_devices();
std::vector<cl::sycl::device>::iterator it =devices.begin();
@@ -88,15 +100,17 @@ struct QueueInterface {
}
}
}))
#else
m_queue(cl::sycl::queue(s, [&](cl::sycl::exception_list l) {
for (const auto& e : l) {
if (e) {
exception_caught_ = true;
}
}
}))
#endif
#else
m_queue(cl::sycl::queue(s, [&](cl::sycl::exception_list l) {
for (const auto& e : l) {
if (e) {
exception_caught_ = true;
std::cerr << "Error detected Inside Sycl Device."<< std::endl;
}
}
}))
#endif
{}
/// Allocating device pointer. This pointer is actually an 8 bytes host pointer used as key to access the sycl device buffer.
@@ -256,22 +270,26 @@ struct SyclDevice {
/// returning the sycl queue
EIGEN_STRONG_INLINE cl::sycl::queue& sycl_queue() const { return m_queue_stream->m_queue;}
/// Here is the implementation of memset function on sycl.
template<typename T> EIGEN_STRONG_INLINE void memset(T *data, int c, size_t n) const {
EIGEN_STRONG_INLINE void memset(void *data, int c, size_t n) const {
size_t rng, GRange, tileSize;
parallel_for_setup(n/sizeof(T), tileSize, rng, GRange);
sycl_queue().submit([&](cl::sycl::handler &cgh) {
auto buf_acc =get_sycl_buffer(static_cast<uint8_t*>(static_cast<void*>(data))). template get_access<cl::sycl::access::mode::discard_write, cl::sycl::access::target::global_buffer>(cgh);
cgh.parallel_for<SyclDevice>( cl::sycl::nd_range<1>(cl::sycl::range<1>(GRange), cl::sycl::range<1>(tileSize)), [=](cl::sycl::nd_item<1> itemID) {
auto globalid=itemID.get_global_linear_id();
if (globalid< rng) {
for(size_t i=0; i<sizeof(T); i++)
buf_acc[globalid*sizeof(T) + i] = c;
}
});
});
parallel_for_setup(n, tileSize, rng, GRange);
sycl_queue().submit(memsetCghFunctor(get_sycl_buffer(static_cast<uint8_t*>(static_cast<void*>(data))),rng, GRange, tileSize, c ));
asynchronousExec();
}
struct memsetCghFunctor{
cl::sycl::buffer<uint8_t, 1>& m_buf;
const size_t& rng , GRange, tileSize;
const int &c;
memsetCghFunctor(cl::sycl::buffer<uint8_t, 1>& buff, const size_t& rng_, const size_t& GRange_, const size_t& tileSize_, const int& c_)
:m_buf(buff), rng(rng_), GRange(GRange_), tileSize(tileSize_), c(c_){}
void operator()(cl::sycl::handler &cgh) const {
auto buf_acc = m_buf.template get_access<cl::sycl::access::mode::discard_write, cl::sycl::access::target::global_buffer>(cgh);
cgh.parallel_for(cl::sycl::nd_range<1>(cl::sycl::range<1>(GRange), cl::sycl::range<1>(tileSize)), memsetkernelFunctor(buf_acc, rng, c));
}
};
EIGEN_STRONG_INLINE size_t firstLevelCacheSize() const {
// FIXME
return 48*1024;