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// =================================================================================================
// This file is part of the CLBlast project. The project is licensed under the MIT license. 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 TestABC class (see the header for information about the class).
//
// =================================================================================================
#include <algorithm>
#include "correctness/testabc.h"
namespace clblast {
// =================================================================================================
// Constructor, initializes the base class tester and input data
template <typename T>
TestABC<T>::TestABC(const size_t platform_id, const size_t device_id,
const std::string &name, const std::vector<std::string> &options,
const Routine clblast_lambda, const Routine clblas_lambda):
Tester<T>{platform_id, device_id, name, options},
clblast_lambda_(clblast_lambda),
clblas_lambda_(clblas_lambda) {
// Computes the maximum sizes. This allows for a single set of input/output buffers.
auto max_dim = *std::max_element(kMatrixDims.begin(), kMatrixDims.end());
auto max_ld = *std::max_element(kMatrixDims.begin(), kMatrixDims.end());
auto max_offset = *std::max_element(kOffsets.begin(), kOffsets.end());
// Creates test input data
a_source_.resize(max_dim*max_ld + max_offset);
b_source_.resize(max_dim*max_ld + max_offset);
c_source_.resize(max_dim*max_ld + max_offset);
PopulateVector(a_source_);
PopulateVector(b_source_);
PopulateVector(c_source_);
}
// ===============================================================================================
// Tests the routine for a wide variety of parameters
template <typename T>
void TestABC<T>::TestRegular(Arguments<T> &args, const std::string &name) {
TestStart("regular behaviour", name);
// Computes whether or not the matrices are transposed. Note that we assume a default of
// column-major and no-transpose. If one of them is different (but not both), then rotated
// is considered true.
auto a_rotated = (args.layout == Layout::kColMajor && args.a_transpose != Transpose::kNo) ||
(args.layout == Layout::kRowMajor && args.a_transpose == Transpose::kNo);
auto b_rotated = (args.layout == Layout::kColMajor && args.b_transpose != Transpose::kNo) ||
(args.layout == Layout::kRowMajor && args.b_transpose == Transpose::kNo);
auto c_rotated = (args.layout == Layout::kRowMajor);
// Iterates over the matrix dimensions
for (auto &m: kMatrixDims) {
args.m = m;
for (auto &n: kMatrixDims) {
args.n = n;
for (auto &k: kMatrixDims) {
args.k = k;
// Computes the second dimensions of the matrices taking the rotation into account
auto a_two = (a_rotated) ? m : k;
auto b_two = (b_rotated) ? k : n;
auto c_two = (c_rotated) ? m : n;
// Iterates over the leading-dimension values and the offsets
for (auto &a_ld: kMatrixDims) {
args.a_ld = a_ld;
for (auto &a_offset: kOffsets) {
args.a_offset = a_offset;
for (auto &b_ld: kMatrixDims) {
args.b_ld = b_ld;
for (auto &b_offset: kOffsets) {
args.b_offset = b_offset;
for (auto &c_ld: kMatrixDims) {
args.c_ld = c_ld;
for (auto &c_offset: kOffsets) {
args.c_offset = c_offset;
// Computes the buffer sizes
auto a_size = a_two * a_ld + a_offset;
auto b_size = b_two * b_ld + b_offset;
auto c_size = c_two * c_ld + c_offset;
if (a_size < 1 || b_size < 1 || c_size < 1) { continue; }
// Creates the OpenCL buffers
auto a_mat = Buffer(context_, CL_MEM_READ_WRITE, a_size*sizeof(T));
auto b_mat = Buffer(context_, CL_MEM_READ_WRITE, b_size*sizeof(T));
auto r_mat = Buffer(context_, CL_MEM_READ_WRITE, c_size*sizeof(T));
auto s_mat = Buffer(context_, CL_MEM_READ_WRITE, c_size*sizeof(T));
// Iterates over the values for alpha and beta
for (auto &alpha: kAlphaValues) {
args.alpha = alpha;
for (auto &beta: kBetaValues) {
args.beta = beta;
// Runs the reference clBLAS code
a_mat.WriteBuffer(queue_, a_size*sizeof(T), a_source_);
b_mat.WriteBuffer(queue_, b_size*sizeof(T), b_source_);
r_mat.WriteBuffer(queue_, c_size*sizeof(T), c_source_);
auto status1 = clblas_lambda_(args, a_mat, b_mat, r_mat, queue_);
// Runs the CLBlast code
a_mat.WriteBuffer(queue_, a_size*sizeof(T), a_source_);
b_mat.WriteBuffer(queue_, b_size*sizeof(T), b_source_);
s_mat.WriteBuffer(queue_, c_size*sizeof(T), c_source_);
auto status2 = clblast_lambda_(args, a_mat, b_mat, s_mat, queue_);
// Tests for equality of the two status codes
if (status1 != StatusCode::kSuccess || status2 != StatusCode::kSuccess) {
TestErrorCodes(status1, status2, args);
continue;
}
// Downloads the results
std::vector<T> r_result(c_size, static_cast<T>(0));
std::vector<T> s_result(c_size, static_cast<T>(0));
r_mat.ReadBuffer(queue_, c_size*sizeof(T), r_result);
s_mat.ReadBuffer(queue_, c_size*sizeof(T), s_result);
// Checks for differences in the output
auto errors = size_t{0};
for (auto idm=size_t{0}; idm<m; ++idm) {
for (auto idn=size_t{0}; idn<n; ++idn) {
auto index = (args.layout == Layout::kRowMajor) ?
idm*args.c_ld + idn + args.c_offset:
idn*args.c_ld + idm + args.c_offset;
if (!TestSimilarity(r_result[index], s_result[index], kErrorMargin)) {
errors++;
}
}
}
// Tests the error count (should be zero)
TestErrorCount(errors, m*n, args);
}
}
}
}
}
}
}
}
}
}
}
TestEnd();
}
// =================================================================================================
// Tests the routine for cases with invalid OpenCL memory buffer sizes. Tests only on return-types,
// does not test for results (if any).
template <typename T>
void TestABC<T>::TestInvalidBufferSizes(Arguments<T> &args, const std::string &name) {
TestStart("invalid buffer sizes", name);
// Sets example test parameters
args.m = kBufferSize;
args.n = kBufferSize;
args.k = kBufferSize;
args.a_ld = kBufferSize;
args.b_ld = kBufferSize;
args.c_ld = kBufferSize;
args.a_offset = 0;
args.b_offset = 0;
args.c_offset = 0;
// Iterates over test buffer sizes
const std::vector<size_t> kBufferSizes = {0, kBufferSize*kBufferSize-1, kBufferSize*kBufferSize};
for (auto &a_size: kBufferSizes) {
for (auto &b_size: kBufferSizes) {
for (auto &c_size: kBufferSizes) {
// Creates the OpenCL buffers. Note: we are not using the C++ version since we explicitly
// want to be able to create invalid buffers (no error checking here).
auto a = clCreateBuffer(context_(), CL_MEM_READ_WRITE, a_size*sizeof(T), nullptr, nullptr);
auto a_mat = Buffer(a);
auto b = clCreateBuffer(context_(), CL_MEM_READ_WRITE, b_size*sizeof(T), nullptr, nullptr);
auto b_mat = Buffer(b);
auto r = clCreateBuffer(context_(), CL_MEM_READ_WRITE, c_size*sizeof(T), nullptr, nullptr);
auto r_mat = Buffer(r);
auto s = clCreateBuffer(context_(), CL_MEM_READ_WRITE, c_size*sizeof(T), nullptr, nullptr);
auto s_mat = Buffer(s);
// Runs the two routines
auto status1 = clblas_lambda_(args, a_mat, b_mat, r_mat, queue_);
auto status2 = clblast_lambda_(args, a_mat, b_mat, s_mat, queue_);
// Tests for equality of the two status codes
TestErrorCodes(status1, status2, args);
}
}
}
TestEnd();
}
// =================================================================================================
// Compiles the templated class
template class TestABC<float>;
template class TestABC<double>;
template class TestABC<float2>;
template class TestABC<double2>;
// =================================================================================================
} // namespace clblast
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