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-rw-r--r--src/routines/level3/xsyrk.cpp169
1 files changed, 76 insertions, 93 deletions
diff --git a/src/routines/level3/xsyrk.cpp b/src/routines/level3/xsyrk.cpp
index 438aa218..bd6c4b25 100644
--- a/src/routines/level3/xsyrk.cpp
+++ b/src/routines/level3/xsyrk.cpp
@@ -22,8 +22,7 @@ namespace clblast {
// Constructor: forwards to base class constructor
template <typename T>
Xsyrk<T>::Xsyrk(Queue &queue, EventPointer event, const std::string &name):
- Routine(queue, event, name, {"Copy","Pad","Transpose","Padtranspose","Xgemm"}, PrecisionValue<T>()) {
- source_string_ =
+ Routine(queue, event, name, {"Copy","Pad","Transpose","Padtranspose","Xgemm"}, PrecisionValue<T>(), {}, {
#include "../../kernels/level3/level3.opencl"
#include "../../kernels/level3/copy_fast.opencl"
#include "../../kernels/level3/copy_pad.opencl"
@@ -32,14 +31,14 @@ Xsyrk<T>::Xsyrk(Queue &queue, EventPointer event, const std::string &name):
#include "../../kernels/level3/xgemm_part1.opencl"
#include "../../kernels/level3/xgemm_part2.opencl"
#include "../../kernels/level3/xgemm_part3.opencl"
- ;
+ }) {
}
// =================================================================================================
// The main routine
template <typename T>
-StatusCode Xsyrk<T>::DoSyrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
+void Xsyrk<T>::DoSyrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const T alpha,
const Buffer<T> &a_buffer, const size_t a_offset, const size_t a_ld,
@@ -47,7 +46,7 @@ StatusCode Xsyrk<T>::DoSyrk(const Layout layout, const Triangle triangle, const
const Buffer<T> &c_buffer, const size_t c_offset, const size_t c_ld) {
// Makes sure all dimensions are larger than zero
- if ((n == 0) || (k == 0) ) { return StatusCode::kInvalidDimension; }
+ if ((n == 0) || (k == 0) ) { throw BLASError(StatusCode::kInvalidDimension); }
// Computes whether or not the matrices are transposed in memory. This is based on their layout
// (row or column-major) and whether or not they are requested to be pre-transposed.
@@ -65,10 +64,8 @@ StatusCode Xsyrk<T>::DoSyrk(const Layout layout, const Triangle triangle, const
// space. Also tests that the leading dimensions of:
// matrix A cannot be less than N when rotated, or less than K when not-rotated
// matrix C cannot be less than N
- auto status = TestMatrixA(a_one, a_two, a_buffer, a_offset, a_ld);
- if (ErrorIn(status)) { return status; }
- status = TestMatrixC(n, n, c_buffer, c_offset, c_ld);
- if (ErrorIn(status)) { return status; }
+ TestMatrixA(a_one, a_two, a_buffer, a_offset, a_ld);
+ TestMatrixC(n, n, c_buffer, c_offset, c_ld);
// Calculates the ceiled versions of n and k
auto n_ceiled = Ceil(Ceil(n, db_["MWG"]), db_["NWG"]);
@@ -77,90 +74,76 @@ StatusCode Xsyrk<T>::DoSyrk(const Layout layout, const Triangle triangle, const
// Decides which kernel to run: the upper-triangular or lower-triangular version
auto kernel_name = (triangle == Triangle::kUpper) ? "XgemmUpper" : "XgemmLower";
- // The padded/transposed input/output matrices: if memory allocation fails, throw an exception
- try {
-
- // Loads the program from the database
- const auto program = GetProgramFromCache(context_, PrecisionValue<T>(), routine_name_);
-
- // Determines whether or not temporary matrices are needed
- auto a_no_temp = a_one == n_ceiled && a_two == k_ceiled && a_ld == n_ceiled && a_offset == 0 &&
- a_rotated == false;
-
- // Creates the temporary matrices
- auto a_temp = (a_no_temp) ? a_buffer : Buffer<T>(context_, k_ceiled*n_ceiled);
- auto c_temp = Buffer<T>(context_, n_ceiled*n_ceiled);
-
- // Events of all kernels (including pre/post processing kernels)
- auto eventWaitList = std::vector<Event>();
- auto emptyEventList = std::vector<Event>();
-
- // Runs the pre-processing kernel for matrix A. This transposes the matrix, but also pads zeros
- // to fill it up until it reaches a certain multiple of size (kernel parameter dependent). In
- // case nothing has to be done, these kernels can be skipped.
- if (!a_no_temp) {
- auto eventProcessA = Event();
- status = PadCopyTransposeMatrix(queue_, device_, db_, eventProcessA.pointer(), emptyEventList,
- a_one, a_two, a_ld, a_offset, a_buffer,
- n_ceiled, k_ceiled, n_ceiled, 0, a_temp,
- ConstantOne<T>(), program,
- true, a_rotated, false);
- if (ErrorIn(status)) { return status; }
- eventWaitList.push_back(eventProcessA);
- }
-
- // Furthermore, also creates a (possibly padded) copy of matrix C, since it is not allowed to
- // modify the other triangle.
- auto eventProcessC = Event();
- status = PadCopyTransposeMatrix(queue_, device_, db_, eventProcessC.pointer(), emptyEventList,
- n, n, c_ld, c_offset, c_buffer,
- n_ceiled, n_ceiled, n_ceiled, 0, c_temp,
- ConstantOne<T>(), program,
- true, c_rotated, false);
- if (ErrorIn(status)) { return status; }
- eventWaitList.push_back(eventProcessC);
-
- // Retrieves the XgemmUpper or XgemmLower kernel from the compiled binary
- try {
- auto kernel = Kernel(program, kernel_name);
-
- // Sets the kernel arguments
- kernel.SetArgument(0, static_cast<int>(n_ceiled));
- kernel.SetArgument(1, static_cast<int>(k_ceiled));
- kernel.SetArgument(2, GetRealArg(alpha));
- kernel.SetArgument(3, GetRealArg(beta));
- kernel.SetArgument(4, a_temp());
- kernel.SetArgument(5, a_temp());
- kernel.SetArgument(6, c_temp());
-
- // Computes the global and local thread sizes
- auto global = std::vector<size_t>{
- (n_ceiled * db_["MDIMC"]) / db_["MWG"],
- (n_ceiled * db_["NDIMC"]) / db_["NWG"]
- };
- auto local = std::vector<size_t>{db_["MDIMC"], db_["NDIMC"]};
-
- // Launches the kernel
- auto eventKernel = Event();
- status = RunKernel(kernel, queue_, device_, global, local, eventKernel.pointer(), eventWaitList);
- if (ErrorIn(status)) { return status; }
- eventWaitList.push_back(eventKernel);
-
- // Runs the post-processing kernel
- auto upper = (triangle == Triangle::kUpper);
- auto lower = (triangle == Triangle::kLower);
- status = PadCopyTransposeMatrix(queue_, device_, db_, event_, eventWaitList,
- n_ceiled, n_ceiled, n_ceiled, 0, c_temp,
- n, n, c_ld, c_offset, c_buffer,
- ConstantOne<T>(), program,
- false, c_rotated, false, upper, lower, false);
- if (ErrorIn(status)) { return status; }
-
-
- // Successfully finished the computation
- return StatusCode::kSuccess;
- } catch (...) { return StatusCode::kInvalidKernel; }
- } catch (...) { return StatusCode::kTempBufferAllocFailure; }
+ // Loads the program from the database
+ const auto program = GetProgramFromCache(context_, PrecisionValue<T>(), routine_name_);
+
+ // Determines whether or not temporary matrices are needed
+ auto a_no_temp = a_one == n_ceiled && a_two == k_ceiled && a_ld == n_ceiled && a_offset == 0 &&
+ a_rotated == false;
+
+ // Creates the temporary matrices
+ auto a_temp = (a_no_temp) ? a_buffer : Buffer<T>(context_, k_ceiled*n_ceiled);
+ auto c_temp = Buffer<T>(context_, n_ceiled*n_ceiled);
+
+ // Events of all kernels (including pre/post processing kernels)
+ auto eventWaitList = std::vector<Event>();
+ auto emptyEventList = std::vector<Event>();
+
+ // Runs the pre-processing kernel for matrix A. This transposes the matrix, but also pads zeros
+ // to fill it up until it reaches a certain multiple of size (kernel parameter dependent). In
+ // case nothing has to be done, these kernels can be skipped.
+ if (!a_no_temp) {
+ auto eventProcessA = Event();
+ PadCopyTransposeMatrix(queue_, device_, db_, eventProcessA.pointer(), emptyEventList,
+ a_one, a_two, a_ld, a_offset, a_buffer,
+ n_ceiled, k_ceiled, n_ceiled, 0, a_temp,
+ ConstantOne<T>(), program,
+ true, a_rotated, false);
+ eventWaitList.push_back(eventProcessA);
+ }
+
+ // Furthermore, also creates a (possibly padded) copy of matrix C, since it is not allowed to
+ // modify the other triangle.
+ auto eventProcessC = Event();
+ PadCopyTransposeMatrix(queue_, device_, db_, eventProcessC.pointer(), emptyEventList,
+ n, n, c_ld, c_offset, c_buffer,
+ n_ceiled, n_ceiled, n_ceiled, 0, c_temp,
+ ConstantOne<T>(), program,
+ true, c_rotated, false);
+ eventWaitList.push_back(eventProcessC);
+
+ // Retrieves the XgemmUpper or XgemmLower kernel from the compiled binary
+ auto kernel = Kernel(program, kernel_name);
+
+ // Sets the kernel arguments
+ kernel.SetArgument(0, static_cast<int>(n_ceiled));
+ kernel.SetArgument(1, static_cast<int>(k_ceiled));
+ kernel.SetArgument(2, GetRealArg(alpha));
+ kernel.SetArgument(3, GetRealArg(beta));
+ kernel.SetArgument(4, a_temp());
+ kernel.SetArgument(5, a_temp());
+ kernel.SetArgument(6, c_temp());
+
+ // Computes the global and local thread sizes
+ auto global = std::vector<size_t>{
+ (n_ceiled * db_["MDIMC"]) / db_["MWG"],
+ (n_ceiled * db_["NDIMC"]) / db_["NWG"]
+ };
+ auto local = std::vector<size_t>{db_["MDIMC"], db_["NDIMC"]};
+
+ // Launches the kernel
+ auto eventKernel = Event();
+ RunKernel(kernel, queue_, device_, global, local, eventKernel.pointer(), eventWaitList);
+ eventWaitList.push_back(eventKernel);
+
+ // Runs the post-processing kernel
+ auto upper = (triangle == Triangle::kUpper);
+ auto lower = (triangle == Triangle::kLower);
+ PadCopyTransposeMatrix(queue_, device_, db_, event_, eventWaitList,
+ n_ceiled, n_ceiled, n_ceiled, 0, c_temp,
+ n, n, c_ld, c_offset, c_buffer,
+ ConstantOne<T>(), program,
+ false, c_rotated, false, upper, lower, false);
}
// =================================================================================================
generated by cgit v1.2.3 (git 2.39.1) at 2024-07-04 09:27:58 +0000