CLBlast/src/routines/levelx/xaxpybatched.cpp

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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
// width of 100 characters per line.
//
// Author(s):
// Cedric Nugteren <www.cedricnugteren.nl>
//
// This file implements the XaxpyBatched class (see the header for information about the class).
//
// =================================================================================================
#include "routines/levelx/xaxpybatched.hpp"
#include <string>
#include <vector>
namespace clblast {
// =================================================================================================
// Constructor: forwards to base class constructor
template <typename T>
XaxpyBatched<T>::XaxpyBatched(Queue &queue, EventPointer event, const std::string &name):
Routine(queue, event, name, {"Xaxpy"}, PrecisionValue<T>(), {}, {
#include "../../kernels/level1/level1.opencl"
#include "../../kernels/level1/xaxpy.opencl"
}) {
}
// =================================================================================================
// The main routine
template <typename T>
void XaxpyBatched<T>::DoAxpyBatched(const size_t n, const std::vector<T> &alphas,
const Buffer<T> &x_buffer, const std::vector<size_t> &x_offsets, const size_t x_inc,
const Buffer<T> &y_buffer, const std::vector<size_t> &y_offsets, const size_t y_inc,
const size_t batch_count) {
// Tests for a valid batch count
if ((batch_count < 1) || (alphas.size() != batch_count) ||
(x_offsets.size() != batch_count) || (y_offsets.size() != batch_count)) {
throw BLASError(StatusCode::kInvalidBatchCount);
}
// Makes sure all dimensions are larger than zero
if (n == 0) { throw BLASError(StatusCode::kInvalidDimension); }
// Tests the vectors for validity
for (auto batch = size_t{0}; batch < batch_count; ++batch) {
TestVectorX(n, x_buffer, x_offsets[batch], x_inc);
TestVectorY(n, y_buffer, y_offsets[batch], y_inc);
}
// Upload the arguments to the device
std::vector<int> x_offsets_int(x_offsets.begin(), x_offsets.end());
std::vector<int> y_offsets_int(y_offsets.begin(), y_offsets.end());
auto x_offsets_device = Buffer<int>(context_, BufferAccess::kReadOnly, batch_count);
auto y_offsets_device = Buffer<int>(context_, BufferAccess::kReadOnly, batch_count);
x_offsets_device.Write(queue_, batch_count, x_offsets_int);
y_offsets_device.Write(queue_, batch_count, y_offsets_int);
// Retrieves the Xaxpy kernel from the compiled binary
auto kernel = Kernel(program_, "XaxpyBatched");
// Naive implementation: calls regular Axpy multiple times
for (auto batch = size_t{0}; batch < batch_count; ++batch) {
// Sets the kernel arguments
kernel.SetArgument(0, static_cast<int>(n));
kernel.SetArgument(1, GetRealArg(alphas[batch]));
kernel.SetArgument(2, x_buffer());
kernel.SetArgument(3, static_cast<int>(x_offsets[batch]));
kernel.SetArgument(4, static_cast<int>(x_inc));
kernel.SetArgument(5, y_buffer());
kernel.SetArgument(6, static_cast<int>(y_offsets[batch]));
kernel.SetArgument(7, static_cast<int>(y_inc));
kernel.SetArgument(8, static_cast<int>(batch));
// Launches the kernel
auto n_ceiled = Ceil(n, db_["WGS"]*db_["WPT"]);
auto global = std::vector<size_t>{n_ceiled/db_["WPT"]};
auto local = std::vector<size_t>{db_["WGS"]};
RunKernel(kernel, queue_, device_, global, local, event_);
}
}
// =================================================================================================
// Compiles the templated class
template class XaxpyBatched<half>;
template class XaxpyBatched<float>;
template class XaxpyBatched<double>;
template class XaxpyBatched<float2>;
template class XaxpyBatched<double2>;
// =================================================================================================
} // namespace clblast