cutlass/test/unit/gemm/device/testbed_splitk.h

219 lines
6.0 KiB
C++

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/*! \file
\brief Tests for device-wide GEMM interface
*/
#pragma once
#include <iostream>
#include <sstream>
#include "../../common/cutlass_unit_test.h"
#include "testbed.h"
namespace test {
namespace gemm {
namespace device {
/////////////////////////////////////////////////////////////////////////////////////////////////
template <typename Gemm>
struct TestbedSplitK : public Testbed<Gemm> {
using Base = Testbed<Gemm>;
using ElementCompute = typename Base::ElementCompute;
//
// Methods
//
TestbedSplitK(
cutlass::Distribution::Kind init_A_ = cutlass::Distribution::Uniform,
cutlass::Distribution::Kind init_B_ = cutlass::Distribution::Uniform,
cutlass::Distribution::Kind init_C_ = cutlass::Distribution::Uniform,
uint64_t seed_ = 2080
):
Base(init_A_, init_B_, init_C_, seed_) { }
/// Returns true if the CUDA device is sufficient to execute the kernel.
bool sufficient() const {
//
// Determine SMEM requirements and waive if not satisfied
//
size_t smem_size = sizeof(typename Gemm::GemmKernel::SharedStorage);
cudaDeviceProp properties;
int device_idx;
cudaError_t result = cudaGetDevice(&device_idx);
if (result != cudaSuccess) {
throw std::runtime_error("cudaGetDevice() API call failed.");
}
result = cudaGetDeviceProperties(&properties, device_idx);
if (result != cudaSuccess) {
throw std::runtime_error("cudaGetDeviceProperties() failed");
}
if (properties.sharedMemPerBlockOptin < smem_size) {
return false;
}
return true;
}
/// Executes one test
bool run(
cutlass::gemm::GemmCoord problem_size,
int split_k_slices,
ElementCompute alpha = ElementCompute(1),
ElementCompute beta = ElementCompute(0)) {
// Waive test if insufficient CUDA device
if (!sufficient()) {
if (CUTLASS_TEST_UNIT_ENABLE_WARNINGS) {
std::cerr << "Test waived due to insufficient CUDA device." << std::endl;
}
return true;
}
this->initialize(problem_size);
//
// Initialize the GEMM operator
//
typename Gemm::Arguments arguments{
problem_size,
this->tensor_A.device_ref(),
this->tensor_B.device_ref(),
this->tensor_C.device_ref(),
this->tensor_D.device_ref(),
{alpha, beta},
split_k_slices
};
Gemm gemm_op;
size_t workspace_size = Gemm::get_workspace_size(arguments);
cutlass::device_memory::allocation<uint8_t> workspace(workspace_size);
cutlass::Status status = gemm_op.initialize(arguments, workspace.get());
EXPECT_TRUE(status == cutlass::Status::kSuccess);
//
// Run the GEMM
//
status = gemm_op();
EXPECT_TRUE(status == cutlass::Status::kSuccess);
//
// Verify
//
return this->verify(problem_size, alpha, beta);
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
template <typename Gemm>
bool TestAllGemmSplitK() {
bool passed = true;
cutlass::gemm::GemmCoord problem_sizes[] = {
{8, 8, 2048},
{8, 8, 2056},
{264, 72, 520},
{264, 520, 120},
{264, 520, 264}
};
int split_k_slices[] = {
1, 2, 4, 5, 7
};
double problem_alpha[] = {
0.5
};
double problem_beta[] = {
2.0
};
using Testbed = TestbedSplitK<Gemm>;
using ElementCompute = typename Testbed::ElementCompute;
Testbed testbed;
for (auto problem_size : problem_sizes) {
for (int split_k_count : split_k_slices) {
for (double alpha : problem_alpha) {
for (double beta : problem_beta) {
passed = testbed.run(
problem_size,
split_k_count,
ElementCompute(alpha),
ElementCompute(beta)
);
if (!passed) {
std::cout << "Failed on size " << problem_size << " with split_k_count " << split_k_count << std::endl;
return false;
}
}
}
}
}
EXPECT_TRUE(passed);
return passed;
}
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace device
} // namespace gemm
} // namespace test
/////////////////////////////////////////////////////////////////////////////////////////////////