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