Merge topic 'cuda-device-link-ar'

493671a5 CUDA: Static libraries can now explicitly resolve device symbols
8fb85c68 CUDA: Makefile uses relative path for device linking status messages
a36fb229 CUDA: Visual Studio now properly delays device linking

Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !759
This commit is contained in:
Brad King
2017-04-27 13:01:56 +00:00
committed by Kitware Robot
19 changed files with 435 additions and 15 deletions
+1
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@@ -154,6 +154,7 @@ Properties on Targets
/prop_tgt/CROSSCOMPILING_EMULATOR
/prop_tgt/CUDA_PTX_COMPILATION
/prop_tgt/CUDA_SEPARABLE_COMPILATION
/prop_tgt/CUDA_RESOLVE_DEVICE_SYMBOLS
/prop_tgt/CUDA_EXTENSIONS
/prop_tgt/CUDA_STANDARD
/prop_tgt/CUDA_STANDARD_REQUIRED
@@ -0,0 +1,15 @@
CUDA_RESOLVE_DEVICE_SYMBOLS
---------------------------
CUDA only: Enables device linking for the specific static library target
If set this will enable device linking on this static library target. Normally
device linking is deferred until a shared library or executable is generated,
allowing for multiple static libraries to resolve device symbols at the same
time.
For instance:
.. code-block:: cmake
set_property(TARGET mystaticlib PROPERTY CUDA_RESOLVE_DEVICE_SYMBOLS ON)
+18 -3
View File
@@ -39,9 +39,24 @@ std::string cmLinkLineDeviceComputer::ComputeLinkLibraries(
continue;
}
if (li->Target->GetType() == cmStateEnums::INTERFACE_LIBRARY ||
li->Target->GetType() == cmStateEnums::SHARED_LIBRARY ||
li->Target->GetType() == cmStateEnums::MODULE_LIBRARY) {
bool skippable = false;
switch (li->Target->GetType()) {
case cmStateEnums::SHARED_LIBRARY:
case cmStateEnums::MODULE_LIBRARY:
case cmStateEnums::INTERFACE_LIBRARY:
skippable = true;
break;
case cmStateEnums::STATIC_LIBRARY:
// If a static library is resolving its device linking, it should
// be removed for other device linking
skippable =
li->Target->GetPropertyAsBool("CUDA_RESOLVE_DEVICE_SYMBOLS");
break;
default:
break;
}
if (skippable) {
continue;
}
@@ -122,7 +122,11 @@ void cmMakefileExecutableTargetGenerator::WriteDeviceExecutableRule(
std::string buildEcho = "Linking ";
buildEcho += linkLanguage;
buildEcho += " device code ";
buildEcho += targetOutputReal;
buildEcho += this->LocalGenerator->ConvertToOutputFormat(
this->LocalGenerator->MaybeConvertToRelativePath(
this->LocalGenerator->GetCurrentBinaryDirectory(),
this->DeviceLinkObject),
cmOutputConverter::SHELL);
this->LocalGenerator->AppendEcho(
commands, buildEcho, cmLocalUnixMakefileGenerator3::EchoLink, &progress);
}
+34 -2
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@@ -127,6 +127,24 @@ void cmMakefileLibraryTargetGenerator::WriteObjectLibraryRules()
void cmMakefileLibraryTargetGenerator::WriteStaticLibraryRules()
{
const std::string cuda_lang("CUDA");
cmGeneratorTarget::LinkClosure const* closure =
this->GeneratorTarget->GetLinkClosure(this->ConfigName);
const bool hasCUDA =
(std::find(closure->Languages.begin(), closure->Languages.end(),
cuda_lang) != closure->Languages.end());
const bool resolveDeviceSymbols =
this->GeneratorTarget->GetPropertyAsBool("CUDA_RESOLVE_DEVICE_SYMBOLS");
if (hasCUDA && resolveDeviceSymbols) {
std::string linkRuleVar = "CMAKE_CUDA_DEVICE_LINK_LIBRARY";
std::string extraFlags;
this->LocalGenerator->AppendFlags(
extraFlags, this->GeneratorTarget->GetProperty("LINK_FLAGS"));
this->WriteDeviceLibraryRules(linkRuleVar, extraFlags, false);
}
std::string linkLanguage =
this->GeneratorTarget->GetLinkerLanguage(this->ConfigName);
@@ -292,8 +310,12 @@ void cmMakefileLibraryTargetGenerator::WriteDeviceLibraryRules(
cmLocalUnixMakefileGenerator3::EchoProgress progress;
this->MakeEchoProgress(progress);
// Add the link message.
std::string buildEcho = "Linking " + linkLanguage + " device code";
buildEcho += targetOutputReal;
std::string buildEcho = "Linking " + linkLanguage + " device code ";
buildEcho += this->LocalGenerator->ConvertToOutputFormat(
this->LocalGenerator->MaybeConvertToRelativePath(
this->LocalGenerator->GetCurrentBinaryDirectory(),
this->DeviceLinkObject),
cmOutputConverter::SHELL);
this->LocalGenerator->AppendEcho(
commands, buildEcho, cmLocalUnixMakefileGenerator3::EchoLink, &progress);
}
@@ -857,6 +879,16 @@ void cmMakefileLibraryTargetGenerator::WriteLibraryRules(
std::vector<std::string> object_strings;
this->WriteObjectsStrings(object_strings, archiveCommandLimit);
// Add the cuda device object to the list of archive files. This will
// only occur on archives which have CUDA_RESOLVE_DEVICE_SYMBOLS enabled
if (!this->DeviceLinkObject.empty()) {
object_strings.push_back(this->LocalGenerator->ConvertToOutputFormat(
this->LocalGenerator->MaybeConvertToRelativePath(
this->LocalGenerator->GetCurrentBinaryDirectory(),
this->DeviceLinkObject),
cmOutputConverter::SHELL));
}
// Create the archive with the first set of objects.
std::vector<std::string>::iterator osi = object_strings.begin();
{
+6 -1
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@@ -447,6 +447,7 @@ std::vector<std::string> cmNinjaNormalTargetGenerator::ComputeDeviceLinkCmd()
// an executable or a dynamic library.
std::string linkCmd;
switch (this->GetGeneratorTarget()->GetType()) {
case cmStateEnums::STATIC_LIBRARY:
case cmStateEnums::SHARED_LIBRARY:
case cmStateEnums::MODULE_LIBRARY: {
const std::string cudaLinkCmd(
@@ -559,11 +560,15 @@ void cmNinjaNormalTargetGenerator::WriteDeviceLinkStatement()
case cmStateEnums::EXECUTABLE:
shouldHaveDeviceLinking = true;
break;
case cmStateEnums::STATIC_LIBRARY:
shouldHaveDeviceLinking =
genTarget.GetPropertyAsBool("CUDA_RESOLVE_DEVICE_SYMBOLS");
break;
default:
break;
}
if (!shouldHaveDeviceLinking || !hasCUDA) {
if (!(shouldHaveDeviceLinking && hasCUDA)) {
return;
}
@@ -116,6 +116,10 @@ cmVisualStudio10TargetGenerator::~cmVisualStudio10TargetGenerator()
i != this->CudaOptions.end(); ++i) {
delete i->second;
}
for (OptionsMap::iterator i = this->CudaLinkOptions.begin();
i != this->CudaLinkOptions.end(); ++i) {
delete i->second;
}
if (!this->BuildFileStream) {
return;
}
@@ -213,6 +217,9 @@ void cmVisualStudio10TargetGenerator::Generate()
if (!this->ComputeCudaOptions()) {
return;
}
if (!this->ComputeCudaLinkOptions()) {
return;
}
if (!this->ComputeMasmOptions()) {
return;
}
@@ -2524,6 +2531,70 @@ void cmVisualStudio10TargetGenerator::WriteCudaOptions(
this->WriteString("</CudaCompile>\n", 2);
}
bool cmVisualStudio10TargetGenerator::ComputeCudaLinkOptions()
{
if (!this->GlobalGenerator->IsCudaEnabled()) {
return true;
}
for (std::vector<std::string>::const_iterator i =
this->Configurations.begin();
i != this->Configurations.end(); ++i) {
if (!this->ComputeCudaLinkOptions(*i)) {
return false;
}
}
return true;
}
bool cmVisualStudio10TargetGenerator::ComputeCudaLinkOptions(
std::string const& configName)
{
cmGlobalVisualStudio10Generator* gg =
static_cast<cmGlobalVisualStudio10Generator*>(this->GlobalGenerator);
CM_AUTO_PTR<Options> pOptions(new Options(
this->LocalGenerator, Options::CudaCompiler, gg->GetCudaFlagTable()));
Options& cudaLinkOptions = *pOptions;
// Determine if we need to do a device link
bool doDeviceLinking = false;
switch (this->GeneratorTarget->GetType()) {
case cmStateEnums::SHARED_LIBRARY:
case cmStateEnums::MODULE_LIBRARY:
case cmStateEnums::EXECUTABLE:
doDeviceLinking = true;
break;
case cmStateEnums::STATIC_LIBRARY:
doDeviceLinking = this->GeneratorTarget->GetPropertyAsBool(
"CUDA_RESOLVE_DEVICE_SYMBOLS");
break;
default:
break;
}
cudaLinkOptions.AddFlag("PerformDeviceLink",
doDeviceLinking ? "true" : "false");
this->CudaLinkOptions[configName] = pOptions.release();
return true;
}
void cmVisualStudio10TargetGenerator::WriteCudaLinkOptions(
std::string const& configName)
{
if (this->GeneratorTarget->GetType() > cmStateEnums::MODULE_LIBRARY) {
return;
}
if (!this->MSTools || !this->GlobalGenerator->IsCudaEnabled()) {
return;
}
this->WriteString("<CudaLink>\n", 2);
Options& cudaLinkOptions = *(this->CudaLinkOptions[configName]);
cudaLinkOptions.OutputFlagMap(*this->BuildFileStream, " ");
this->WriteString("</CudaLink>\n", 2);
}
bool cmVisualStudio10TargetGenerator::ComputeMasmOptions()
{
if (!this->GlobalGenerator->IsMasmEnabled()) {
@@ -3283,6 +3354,7 @@ void cmVisualStudio10TargetGenerator::WriteItemDefinitionGroups()
}
// output link flags <Link></Link>
this->WriteLinkOptions(*i);
this->WriteCudaLinkOptions(*i);
// output lib flags <Lib></Lib>
this->WriteLibOptions(*i);
// output manifest flags <Manifest></Manifest>
+6
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@@ -101,6 +101,11 @@ private:
bool ComputeCudaOptions(std::string const& config);
void WriteCudaOptions(std::string const& config,
std::vector<std::string> const& includes);
bool ComputeCudaLinkOptions();
bool ComputeCudaLinkOptions(std::string const& config);
void WriteCudaLinkOptions(std::string const& config);
bool ComputeMasmOptions();
bool ComputeMasmOptions(std::string const& config);
void WriteMasmOptions(std::string const& config,
@@ -154,6 +159,7 @@ private:
OptionsMap ClOptions;
OptionsMap RcOptions;
OptionsMap CudaOptions;
OptionsMap CudaLinkOptions;
OptionsMap MasmOptions;
OptionsMap NasmOptions;
OptionsMap LinkOptions;
+1 -1
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@@ -37,7 +37,7 @@ EXPORT int choose_cuda_device()
<< std::endl;
return 1;
}
if (prop.major >= 4) {
if (prop.major >= 3) {
err = cudaSetDevice(i);
if (err != cudaSuccess) {
std::cout << "Could not select CUDA device " << i << std::endl;
+1
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@@ -3,3 +3,4 @@ ADD_TEST_MACRO(CudaOnly.EnableStandard CudaOnlyEnableStandard)
ADD_TEST_MACRO(CudaOnly.ExportPTX CudaOnlyExportPTX)
ADD_TEST_MACRO(CudaOnly.SeparateCompilation CudaOnlySeparateCompilation)
ADD_TEST_MACRO(CudaOnly.WithDefs CudaOnlyWithDefs)
ADD_TEST_MACRO(CudaOnly.ResolveDeviceSymbols CudaOnlyResolveDeviceSymbols)
@@ -0,0 +1,52 @@
cmake_minimum_required(VERSION 3.7)
project (CudaOnlyResolveDeviceSymbols CUDA)
# Find nm and dumpbin
if(CMAKE_NM)
set(dump_command ${CMAKE_NM})
set(dump_args -g)
else()
include(GetPrerequisites)
message(STATUS "calling list_prerequisites to find dumpbin")
list_prerequisites("${CMAKE_COMMAND}" 0 0 0)
if(gp_dumpbin)
set(dump_command ${gp_dumpbin})
set(dump_args /ARCHIVEMEMBERS)
endif()
endif()
#Goal for this example:
#Build a static library that defines multiple methods and kernels that
#use each other.
#Use a custom command to build an executable that uses this static library
#We do these together to verify that we can get a static library to do
#device symbol linking, and not have it done when the executable is made
string(APPEND CMAKE_CUDA_FLAGS " -gencode arch=compute_30,code=compute_30")
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CUDA_STANDARD 11)
add_library(CUDAResolveDeviceLib STATIC file1.cu file2.cu)
set_target_properties(CUDAResolveDeviceLib
PROPERTIES
CUDA_SEPARABLE_COMPILATION ON
CUDA_RESOLVE_DEVICE_SYMBOLS ON
POSITION_INDEPENDENT_CODE ON)
if(dump_command)
add_custom_command(TARGET CUDAResolveDeviceLib POST_BUILD
COMMAND ${CMAKE_COMMAND}
-DDUMP_COMMAND=${dump_command}
-DDUMP_ARGS=${dump_args}
-DTEST_LIBRARY_PATH=$<TARGET_FILE:CUDAResolveDeviceLib>
-P ${CMAKE_CURRENT_SOURCE_DIR}/verify.cmake
)
endif()
add_executable(CudaOnlyResolveDeviceSymbols main.cu)
target_link_libraries(CudaOnlyResolveDeviceSymbols PRIVATE CUDAResolveDeviceLib)
if(APPLE)
# We need to add the default path to the driver (libcuda.dylib) as an rpath, so that
# the static cuda runtime can find it at runtime.
target_link_libraries(CudaOnlyResolveDeviceSymbols PRIVATE -Wl,-rpath,/usr/local/cuda/lib)
endif()
@@ -0,0 +1,10 @@
#include "file1.h"
result_type __device__ file1_func(int x)
{
result_type r;
r.input = x;
r.sum = x * x;
return r;
}
@@ -0,0 +1,7 @@
#pragma once
struct result_type
{
int input;
int sum;
};
@@ -0,0 +1,25 @@
#include "file2.h"
result_type __device__ file1_func(int x);
result_type_dynamic __device__ file2_func(int x)
{
const result_type r = file1_func(x);
const result_type_dynamic rd{ r.input, r.sum, true };
return rd;
}
static __global__ void file2_kernel(result_type_dynamic& r, int x)
{
// call static_func which is a method that is defined in the
// static library that is always out of date
r = file2_func(x);
}
int file2_launch_kernel(int x)
{
result_type_dynamic r;
file2_kernel<<<1, 1>>>(r, x);
return r.sum;
}
@@ -0,0 +1,10 @@
#pragma once
#include "file1.h"
struct result_type_dynamic
{
int input;
int sum;
bool from_static;
};
@@ -0,0 +1,85 @@
#include <iostream>
#include "file1.h"
#include "file2.h"
int file2_launch_kernel(int x);
result_type_dynamic __device__ file2_func(int x);
static __global__ void main_kernel(result_type_dynamic& r, int x)
{
// call function that was not device linked to us, this will cause
// a runtime failure of "invalid device function"
r = file2_func(x);
}
int main_launch_kernel(int x)
{
result_type_dynamic r;
main_kernel<<<1, 1>>>(r, x);
return r.sum;
}
int choose_cuda_device()
{
int nDevices = 0;
cudaError_t err = cudaGetDeviceCount(&nDevices);
if (err != cudaSuccess) {
std::cerr << "Failed to retrieve the number of CUDA enabled devices"
<< std::endl;
return 1;
}
for (int i = 0; i < nDevices; ++i) {
cudaDeviceProp prop;
cudaError_t err = cudaGetDeviceProperties(&prop, i);
if (err != cudaSuccess) {
std::cerr << "Could not retrieve properties from CUDA device " << i
<< std::endl;
return 1;
}
std::cout << "prop.major: " << prop.major << std::endl;
if (prop.major >= 3) {
err = cudaSetDevice(i);
if (err != cudaSuccess) {
std::cout << "Could not select CUDA device " << i << std::endl;
} else {
return 0;
}
}
}
std::cout << "Could not find a CUDA enabled card supporting compute >=3.0"
<< std::endl;
return 1;
}
int main(int argc, char** argv)
{
int ret = choose_cuda_device();
if (ret) {
return 0;
}
cudaError_t err;
file2_launch_kernel(42);
err = cudaGetLastError();
if (err != cudaSuccess) {
std::cerr << "file2_launch_kernel: kernel launch failed: "
<< cudaGetErrorString(err) << std::endl;
return 1;
}
main_launch_kernel(1);
err = cudaGetLastError();
if (err == cudaSuccess) {
// This kernel launch should fail as the file2_func was device linked
// into the static library and is not usable by the executable
std::cerr << "main_launch_kernel: kernel launch should have failed"
<< std::endl;
return 1;
}
return 0;
}
@@ -0,0 +1,14 @@
execute_process(COMMAND ${DUMP_COMMAND} ${DUMP_ARGS} ${TEST_LIBRARY_PATH}
RESULT_VARIABLE RESULT
OUTPUT_VARIABLE OUTPUT
ERROR_VARIABLE ERROR
)
if(NOT "${RESULT}" STREQUAL "0")
message(FATAL_ERROR "${DUMP_COMMAND} failed [${RESULT}] [${OUTPUT}] [${ERROR}]")
endif()
if(NOT "${OUTPUT}" MATCHES "(cmake_device_link|device-link)")
message(FATAL_ERROR
"No cuda device objects found, device linking did not occur")
endif()
@@ -12,6 +12,7 @@ project (CudaOnlySeparateCompilation CUDA)
string(APPEND CMAKE_CUDA_FLAGS " -gencode arch=compute_30,code=compute_30")
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CUDA_STANDARD 11)
add_library(CUDASeparateLibA STATIC file1.cu file2.cu file3.cu)
#Having file4/file5 in a shared library causes serious problems
@@ -22,12 +23,24 @@ add_library(CUDASeparateLibB STATIC file4.cu file5.cu)
target_link_libraries(CUDASeparateLibB PRIVATE CUDASeparateLibA)
add_executable(CudaOnlySeparateCompilation main.cu)
target_link_libraries(CudaOnlySeparateCompilation PRIVATE CUDASeparateLibB)
target_link_libraries(CudaOnlySeparateCompilation
PRIVATE CUDASeparateLibB)
set_target_properties( CUDASeparateLibA
CUDASeparateLibB
PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
set_target_properties(CUDASeparateLibA
CUDASeparateLibB
PROPERTIES CUDA_SEPARABLE_COMPILATION ON
POSITION_INDEPENDENT_CODE ON)
set_target_properties( CUDASeparateLibA
CUDASeparateLibB
PROPERTIES POSITION_INDEPENDENT_CODE ON)
if (CMAKE_GENERATOR MATCHES "^Visual Studio")
#Visual Studio CUDA integration will not perform device linking
#on a target that itself does not have GenerateRelocatableDeviceCode
#enabled.
set_target_properties(CudaOnlySeparateCompilation
PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
endif()
if (APPLE)
# We need to add the default path to the driver (libcuda.dylib) as an rpath, so that
# the static cuda runtime can find it at runtime.
target_link_libraries(CudaOnlySeparateCompilation PRIVATE -Wl,-rpath,/usr/local/cuda/lib)
endif()
@@ -7,9 +7,62 @@
int file4_launch_kernel(int x);
int file5_launch_kernel(int x);
int choose_cuda_device()
{
int nDevices = 0;
cudaError_t err = cudaGetDeviceCount(&nDevices);
if (err != cudaSuccess) {
std::cerr << "Failed to retrieve the number of CUDA enabled devices"
<< std::endl;
return 1;
}
for (int i = 0; i < nDevices; ++i) {
cudaDeviceProp prop;
cudaError_t err = cudaGetDeviceProperties(&prop, i);
if (err != cudaSuccess) {
std::cerr << "Could not retrieve properties from CUDA device " << i
<< std::endl;
return 1;
}
if (prop.major >= 3) {
err = cudaSetDevice(i);
if (err != cudaSuccess) {
std::cout << "Could not select CUDA device " << i << std::endl;
} else {
return 0;
}
}
}
std::cout << "Could not find a CUDA enabled card supporting compute >=3.0"
<< std::endl;
return 1;
}
int main(int argc, char** argv)
{
int ret = choose_cuda_device();
if (ret) {
return 0;
}
cudaError_t err;
file4_launch_kernel(42);
err = cudaGetLastError();
if (err != cudaSuccess) {
std::cerr << "file4_launch_kernel: kernel launch failed: "
<< cudaGetErrorString(err) << std::endl;
return 1;
}
file5_launch_kernel(42);
err = cudaGetLastError();
if (err != cudaSuccess) {
std::cerr << "file5_launch_kernel: kernel launch failed: "
<< cudaGetErrorString(err) << std::endl;
return 1;
}
return 0;
}