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| <div class="section" id="findcuda"> |
| <span id="module:FindCUDA"></span><h1>FindCUDA<a class="headerlink" href="#findcuda" title="Permalink to this headline">ΒΆ</a></h1> |
| <p>Tools for building CUDA C files: libraries and build dependencies.</p> |
| <p>This script locates the NVIDIA CUDA C tools. It should work on linux, |
| windows, and mac and should be reasonably up to date with CUDA C |
| releases.</p> |
| <p>This script makes use of the standard find_package arguments of |
| <VERSION>, REQUIRED and QUIET. CUDA_FOUND will report if an |
| acceptable version of CUDA was found.</p> |
| <p>The script will prompt the user to specify CUDA_TOOLKIT_ROOT_DIR if |
| the prefix cannot be determined by the location of nvcc in the system |
| path and REQUIRED is specified to find_package(). To use a different |
| installed version of the toolkit set the environment variable |
| CUDA_BIN_PATH before running cmake (e.g. |
| CUDA_BIN_PATH=/usr/local/cuda1.0 instead of the default |
| /usr/local/cuda) or set CUDA_TOOLKIT_ROOT_DIR after configuring. If |
| you change the value of CUDA_TOOLKIT_ROOT_DIR, various components that |
| depend on the path will be relocated.</p> |
| <p>It might be necessary to set CUDA_TOOLKIT_ROOT_DIR manually on certain |
| platforms, or to use a cuda runtime not installed in the default |
| location. In newer versions of the toolkit the cuda library is |
| included with the graphics driver- be sure that the driver version |
| matches what is needed by the cuda runtime version.</p> |
| <p>The following variables affect the behavior of the macros in the |
| script (in alphebetical order). Note that any of these flags can be |
| changed multiple times in the same directory before calling |
| CUDA_ADD_EXECUTABLE, CUDA_ADD_LIBRARY, CUDA_COMPILE, CUDA_COMPILE_PTX, |
| CUDA_COMPILE_FATBIN, CUDA_COMPILE_CUBIN or CUDA_WRAP_SRCS:</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span>CUDA_64_BIT_DEVICE_CODE (Default matches host bit size) |
| -- Set to ON to compile for 64 bit device code, OFF for 32 bit device code. |
| Note that making this different from the host code when generating object |
| or C files from CUDA code just won't work, because size_t gets defined by |
| nvcc in the generated source. If you compile to PTX and then load the |
| file yourself, you can mix bit sizes between device and host. |
| |
| CUDA_ATTACH_VS_BUILD_RULE_TO_CUDA_FILE (Default ON) |
| -- Set to ON if you want the custom build rule to be attached to the source |
| file in Visual Studio. Turn OFF if you add the same cuda file to multiple |
| targets. |
| |
| This allows the user to build the target from the CUDA file; however, bad |
| things can happen if the CUDA source file is added to multiple targets. |
| When performing parallel builds it is possible for the custom build |
| command to be run more than once and in parallel causing cryptic build |
| errors. VS runs the rules for every source file in the target, and a |
| source can have only one rule no matter how many projects it is added to. |
| When the rule is run from multiple targets race conditions can occur on |
| the generated file. Eventually everything will get built, but if the user |
| is unaware of this behavior, there may be confusion. It would be nice if |
| this script could detect the reuse of source files across multiple targets |
| and turn the option off for the user, but no good solution could be found. |
| |
| CUDA_BUILD_CUBIN (Default OFF) |
| -- Set to ON to enable and extra compilation pass with the -cubin option in |
| Device mode. The output is parsed and register, shared memory usage is |
| printed during build. |
| |
| CUDA_BUILD_EMULATION (Default OFF for device mode) |
| -- Set to ON for Emulation mode. -D_DEVICEEMU is defined for CUDA C files |
| when CUDA_BUILD_EMULATION is TRUE. |
| |
| CUDA_GENERATED_OUTPUT_DIR (Default CMAKE_CURRENT_BINARY_DIR) |
| -- Set to the path you wish to have the generated files placed. If it is |
| blank output files will be placed in CMAKE_CURRENT_BINARY_DIR. |
| Intermediate files will always be placed in |
| CMAKE_CURRENT_BINARY_DIR/CMakeFiles. |
| |
| CUDA_HOST_COMPILATION_CPP (Default ON) |
| -- Set to OFF for C compilation of host code. |
| |
| CUDA_HOST_COMPILER (Default CMAKE_C_COMPILER, $(VCInstallDir)/bin for VS) |
| -- Set the host compiler to be used by nvcc. Ignored if -ccbin or |
| --compiler-bindir is already present in the CUDA_NVCC_FLAGS or |
| CUDA_NVCC_FLAGS_<CONFIG> variables. For Visual Studio targets |
| $(VCInstallDir)/bin is a special value that expands out to the path when |
| the command is run from within VS. |
| |
| CUDA_NVCC_FLAGS |
| CUDA_NVCC_FLAGS_<CONFIG> |
| -- Additional NVCC command line arguments. NOTE: multiple arguments must be |
| semi-colon delimited (e.g. --compiler-options;-Wall) |
| |
| CUDA_PROPAGATE_HOST_FLAGS (Default ON) |
| -- Set to ON to propagate CMAKE_{C,CXX}_FLAGS and their configuration |
| dependent counterparts (e.g. CMAKE_C_FLAGS_DEBUG) automatically to the |
| host compiler through nvcc's -Xcompiler flag. This helps make the |
| generated host code match the rest of the system better. Sometimes |
| certain flags give nvcc problems, and this will help you turn the flag |
| propagation off. This does not affect the flags supplied directly to nvcc |
| via CUDA_NVCC_FLAGS or through the OPTION flags specified through |
| CUDA_ADD_LIBRARY, CUDA_ADD_EXECUTABLE, or CUDA_WRAP_SRCS. Flags used for |
| shared library compilation are not affected by this flag. |
| |
| CUDA_SEPARABLE_COMPILATION (Default OFF) |
| -- If set this will enable separable compilation for all CUDA runtime object |
| files. If used outside of CUDA_ADD_EXECUTABLE and CUDA_ADD_LIBRARY |
| (e.g. calling CUDA_WRAP_SRCS directly), |
| CUDA_COMPUTE_SEPARABLE_COMPILATION_OBJECT_FILE_NAME and |
| CUDA_LINK_SEPARABLE_COMPILATION_OBJECTS should be called. |
| |
| CUDA_SOURCE_PROPERTY_FORMAT |
| -- If this source file property is set, it can override the format specified |
| to CUDA_WRAP_SRCS (OBJ, PTX, CUBIN, or FATBIN). If an input source file |
| is not a .cu file, setting this file will cause it to be treated as a .cu |
| file. See documentation for set_source_files_properties on how to set |
| this property. |
| |
| CUDA_USE_STATIC_CUDA_RUNTIME (Default ON) |
| -- When enabled the static version of the CUDA runtime library will be used |
| in CUDA_LIBRARIES. If the version of CUDA configured doesn't support |
| this option, then it will be silently disabled. |
| |
| CUDA_VERBOSE_BUILD (Default OFF) |
| -- Set to ON to see all the commands used when building the CUDA file. When |
| using a Makefile generator the value defaults to VERBOSE (run make |
| VERBOSE=1 to see output), although setting CUDA_VERBOSE_BUILD to ON will |
| always print the output. |
| </pre></div> |
| </div> |
| <p>The script creates the following macros (in alphebetical order):</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span>CUDA_ADD_CUFFT_TO_TARGET( cuda_target ) |
| -- Adds the cufft library to the target (can be any target). Handles whether |
| you are in emulation mode or not. |
| |
| CUDA_ADD_CUBLAS_TO_TARGET( cuda_target ) |
| -- Adds the cublas library to the target (can be any target). Handles |
| whether you are in emulation mode or not. |
| |
| CUDA_ADD_EXECUTABLE( cuda_target file0 file1 ... |
| [WIN32] [MACOSX_BUNDLE] [EXCLUDE_FROM_ALL] [OPTIONS ...] ) |
| -- Creates an executable "cuda_target" which is made up of the files |
| specified. All of the non CUDA C files are compiled using the standard |
| build rules specified by CMAKE and the cuda files are compiled to object |
| files using nvcc and the host compiler. In addition CUDA_INCLUDE_DIRS is |
| added automatically to include_directories(). Some standard CMake target |
| calls can be used on the target after calling this macro |
| (e.g. set_target_properties and target_link_libraries), but setting |
| properties that adjust compilation flags will not affect code compiled by |
| nvcc. Such flags should be modified before calling CUDA_ADD_EXECUTABLE, |
| CUDA_ADD_LIBRARY or CUDA_WRAP_SRCS. |
| |
| CUDA_ADD_LIBRARY( cuda_target file0 file1 ... |
| [STATIC | SHARED | MODULE] [EXCLUDE_FROM_ALL] [OPTIONS ...] ) |
| -- Same as CUDA_ADD_EXECUTABLE except that a library is created. |
| |
| CUDA_BUILD_CLEAN_TARGET() |
| -- Creates a convience target that deletes all the dependency files |
| generated. You should make clean after running this target to ensure the |
| dependency files get regenerated. |
| |
| CUDA_COMPILE( generated_files file0 file1 ... [STATIC | SHARED | MODULE] |
| [OPTIONS ...] ) |
| -- Returns a list of generated files from the input source files to be used |
| with ADD_LIBRARY or ADD_EXECUTABLE. |
| |
| CUDA_COMPILE_PTX( generated_files file0 file1 ... [OPTIONS ...] ) |
| -- Returns a list of PTX files generated from the input source files. |
| |
| CUDA_COMPILE_FATBIN( generated_files file0 file1 ... [OPTIONS ...] ) |
| -- Returns a list of FATBIN files generated from the input source files. |
| |
| CUDA_COMPILE_CUBIN( generated_files file0 file1 ... [OPTIONS ...] ) |
| -- Returns a list of CUBIN files generated from the input source files. |
| |
| CUDA_COMPUTE_SEPARABLE_COMPILATION_OBJECT_FILE_NAME( output_file_var |
| cuda_target |
| object_files ) |
| -- Compute the name of the intermediate link file used for separable |
| compilation. This file name is typically passed into |
| CUDA_LINK_SEPARABLE_COMPILATION_OBJECTS. output_file_var is produced |
| based on cuda_target the list of objects files that need separable |
| compilation as specified by object_files. If the object_files list is |
| empty, then output_file_var will be empty. This function is called |
| automatically for CUDA_ADD_LIBRARY and CUDA_ADD_EXECUTABLE. Note that |
| this is a function and not a macro. |
| |
| CUDA_INCLUDE_DIRECTORIES( path0 path1 ... ) |
| -- Sets the directories that should be passed to nvcc |
| (e.g. nvcc -Ipath0 -Ipath1 ... ). These paths usually contain other .cu |
| files. |
| |
| |
| CUDA_LINK_SEPARABLE_COMPILATION_OBJECTS( output_file_var cuda_target |
| nvcc_flags object_files) |
| -- Generates the link object required by separable compilation from the given |
| object files. This is called automatically for CUDA_ADD_EXECUTABLE and |
| CUDA_ADD_LIBRARY, but can be called manually when using CUDA_WRAP_SRCS |
| directly. When called from CUDA_ADD_LIBRARY or CUDA_ADD_EXECUTABLE the |
| nvcc_flags passed in are the same as the flags passed in via the OPTIONS |
| argument. The only nvcc flag added automatically is the bitness flag as |
| specified by CUDA_64_BIT_DEVICE_CODE. Note that this is a function |
| instead of a macro. |
| |
| CUDA_SELECT_NVCC_ARCH_FLAGS(out_variable [target_CUDA_architectures]) |
| -- Selects GPU arch flags for nvcc based on target_CUDA_architectures |
| target_CUDA_architectures : Auto | Common | All | LIST(ARCH_AND_PTX ...) |
| - "Auto" detects local machine GPU compute arch at runtime. |
| - "Common" and "All" cover common and entire subsets of architectures |
| ARCH_AND_PTX : NAME | NUM.NUM | NUM.NUM(NUM.NUM) | NUM.NUM+PTX |
| NAME: Fermi Kepler Maxwell Kepler+Tegra Kepler+Tesla Maxwell+Tegra Pascal |
| NUM: Any number. Only those pairs are currently accepted by NVCC though: |
| 2.0 2.1 3.0 3.2 3.5 3.7 5.0 5.2 5.3 6.0 6.2 |
| Returns LIST of flags to be added to CUDA_NVCC_FLAGS in ${out_variable} |
| Additionally, sets ${out_variable}_readable to the resulting numeric list |
| Example: |
| CUDA_SELECT_NVCC_ARCH_FLAGS(ARCH_FLAGS 3.0 3.5+PTX 5.2(5.0) Maxwell) |
| LIST(APPEND CUDA_NVCC_FLAGS ${ARCH_FLAGS}) |
| |
| More info on CUDA architectures: https://en.wikipedia.org/wiki/CUDA |
| Note that this is a function instead of a macro. |
| |
| CUDA_WRAP_SRCS ( cuda_target format generated_files file0 file1 ... |
| [STATIC | SHARED | MODULE] [OPTIONS ...] ) |
| -- This is where all the magic happens. CUDA_ADD_EXECUTABLE, |
| CUDA_ADD_LIBRARY, CUDA_COMPILE, and CUDA_COMPILE_PTX all call this |
| function under the hood. |
| |
| Given the list of files (file0 file1 ... fileN) this macro generates |
| custom commands that generate either PTX or linkable objects (use "PTX" or |
| "OBJ" for the format argument to switch). Files that don't end with .cu |
| or have the HEADER_FILE_ONLY property are ignored. |
| |
| The arguments passed in after OPTIONS are extra command line options to |
| give to nvcc. You can also specify per configuration options by |
| specifying the name of the configuration followed by the options. General |
| options must precede configuration specific options. Not all |
| configurations need to be specified, only the ones provided will be used. |
| |
| OPTIONS -DFLAG=2 "-DFLAG_OTHER=space in flag" |
| DEBUG -g |
| RELEASE --use_fast_math |
| RELWITHDEBINFO --use_fast_math;-g |
| MINSIZEREL --use_fast_math |
| |
| For certain configurations (namely VS generating object files with |
| CUDA_ATTACH_VS_BUILD_RULE_TO_CUDA_FILE set to ON), no generated file will |
| be produced for the given cuda file. This is because when you add the |
| cuda file to Visual Studio it knows that this file produces an object file |
| and will link in the resulting object file automatically. |
| |
| This script will also generate a separate cmake script that is used at |
| build time to invoke nvcc. This is for several reasons. |
| |
| 1. nvcc can return negative numbers as return values which confuses |
| Visual Studio into thinking that the command succeeded. The script now |
| checks the error codes and produces errors when there was a problem. |
| |
| 2. nvcc has been known to not delete incomplete results when it |
| encounters problems. This confuses build systems into thinking the |
| target was generated when in fact an unusable file exists. The script |
| now deletes the output files if there was an error. |
| |
| 3. By putting all the options that affect the build into a file and then |
| make the build rule dependent on the file, the output files will be |
| regenerated when the options change. |
| |
| This script also looks at optional arguments STATIC, SHARED, or MODULE to |
| determine when to target the object compilation for a shared library. |
| BUILD_SHARED_LIBS is ignored in CUDA_WRAP_SRCS, but it is respected in |
| CUDA_ADD_LIBRARY. On some systems special flags are added for building |
| objects intended for shared libraries. A preprocessor macro, |
| <target_name>_EXPORTS is defined when a shared library compilation is |
| detected. |
| |
| Flags passed into add_definitions with -D or /D are passed along to nvcc. |
| </pre></div> |
| </div> |
| <p>The script defines the following variables:</p> |
| <div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">CUDA_VERSION_MAJOR</span> <span class="o">--</span> <span class="n">The</span> <span class="n">major</span> <span class="n">version</span> <span class="n">of</span> <span class="n">cuda</span> <span class="k">as</span> <span class="n">reported</span> <span class="n">by</span> <span class="n">nvcc</span><span class="o">.</span> |
| <span class="n">CUDA_VERSION_MINOR</span> <span class="o">--</span> <span class="n">The</span> <span class="n">minor</span> <span class="n">version</span><span class="o">.</span> |
| <span class="n">CUDA_VERSION</span> |
| <span class="n">CUDA_VERSION_STRING</span> <span class="o">--</span> <span class="n">CUDA_VERSION_MAJOR</span><span class="o">.</span><span class="n">CUDA_VERSION_MINOR</span> |
| <span class="n">CUDA_HAS_FP16</span> <span class="o">--</span> <span class="n">Whether</span> <span class="n">a</span> <span class="n">short</span> <span class="nb">float</span> <span class="p">(</span><span class="n">float16</span><span class="p">,</span><span class="n">fp16</span><span class="p">)</span> <span class="ow">is</span> <span class="n">supported</span><span class="o">.</span> |
| |
| <span class="n">CUDA_TOOLKIT_ROOT_DIR</span> <span class="o">--</span> <span class="n">Path</span> <span class="n">to</span> <span class="n">the</span> <span class="n">CUDA</span> <span class="n">Toolkit</span> <span class="p">(</span><span class="n">defined</span> <span class="k">if</span> <span class="ow">not</span> <span class="nb">set</span><span class="p">)</span><span class="o">.</span> |
| <span class="n">CUDA_SDK_ROOT_DIR</span> <span class="o">--</span> <span class="n">Path</span> <span class="n">to</span> <span class="n">the</span> <span class="n">CUDA</span> <span class="n">SDK</span><span class="o">.</span> <span class="n">Use</span> <span class="n">this</span> <span class="n">to</span> <span class="n">find</span> <span class="n">files</span> <span class="ow">in</span> <span class="n">the</span> |
| <span class="n">SDK</span><span class="o">.</span> <span class="n">This</span> <span class="n">script</span> <span class="n">will</span> <span class="ow">not</span> <span class="n">directly</span> <span class="n">support</span> <span class="n">finding</span> |
| <span class="n">specific</span> <span class="n">libraries</span> <span class="ow">or</span> <span class="n">headers</span><span class="p">,</span> <span class="k">as</span> <span class="n">that</span> <span class="n">isn</span><span class="s1">'t</span> |
| <span class="n">supported</span> <span class="n">by</span> <span class="n">NVIDIA</span><span class="o">.</span> <span class="n">If</span> <span class="n">you</span> <span class="n">want</span> <span class="n">to</span> <span class="n">change</span> |
| <span class="n">libraries</span> <span class="n">when</span> <span class="n">the</span> <span class="n">path</span> <span class="n">changes</span> <span class="n">see</span> <span class="n">the</span> |
| <span class="n">FindCUDA</span><span class="o">.</span><span class="n">cmake</span> <span class="n">script</span> <span class="k">for</span> <span class="n">an</span> <span class="n">example</span> <span class="n">of</span> <span class="n">how</span> <span class="n">to</span> <span class="n">clear</span> |
| <span class="n">these</span> <span class="n">variables</span><span class="o">.</span> <span class="n">There</span> <span class="n">are</span> <span class="n">also</span> <span class="n">examples</span> <span class="n">of</span> <span class="n">how</span> <span class="n">to</span> |
| <span class="n">use</span> <span class="n">the</span> <span class="n">CUDA_SDK_ROOT_DIR</span> <span class="n">to</span> <span class="n">locate</span> <span class="n">headers</span> <span class="ow">or</span> |
| <span class="n">libraries</span><span class="p">,</span> <span class="k">if</span> <span class="n">you</span> <span class="n">so</span> <span class="n">choose</span> <span class="p">(</span><span class="n">at</span> <span class="n">your</span> <span class="n">own</span> <span class="n">risk</span><span class="p">)</span><span class="o">.</span> |
| <span class="n">CUDA_INCLUDE_DIRS</span> <span class="o">--</span> <span class="n">Include</span> <span class="n">directory</span> <span class="k">for</span> <span class="n">cuda</span> <span class="n">headers</span><span class="o">.</span> <span class="n">Added</span> <span class="n">automatically</span> |
| <span class="k">for</span> <span class="n">CUDA_ADD_EXECUTABLE</span> <span class="ow">and</span> <span class="n">CUDA_ADD_LIBRARY</span><span class="o">.</span> |
| <span class="n">CUDA_LIBRARIES</span> <span class="o">--</span> <span class="n">Cuda</span> <span class="n">RT</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">CUDA_CUFFT_LIBRARIES</span> <span class="o">--</span> <span class="n">Device</span> <span class="ow">or</span> <span class="n">emulation</span> <span class="n">library</span> <span class="k">for</span> <span class="n">the</span> <span class="n">Cuda</span> <span class="n">FFT</span> |
| <span class="n">implementation</span> <span class="p">(</span><span class="n">alternative</span> <span class="n">to</span><span class="p">:</span> |
| <span class="n">CUDA_ADD_CUFFT_TO_TARGET</span> <span class="n">macro</span><span class="p">)</span> |
| <span class="n">CUDA_CUBLAS_LIBRARIES</span> <span class="o">--</span> <span class="n">Device</span> <span class="ow">or</span> <span class="n">emulation</span> <span class="n">library</span> <span class="k">for</span> <span class="n">the</span> <span class="n">Cuda</span> <span class="n">BLAS</span> |
| <span class="n">implementation</span> <span class="p">(</span><span class="n">alternative</span> <span class="n">to</span><span class="p">:</span> |
| <span class="n">CUDA_ADD_CUBLAS_TO_TARGET</span> <span class="n">macro</span><span class="p">)</span><span class="o">.</span> |
| <span class="n">CUDA_cudart_static_LIBRARY</span> <span class="o">--</span> <span class="n">Statically</span> <span class="n">linkable</span> <span class="n">cuda</span> <span class="n">runtime</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">5.5</span><span class="o">+</span> |
| <span class="n">CUDA_cudadevrt_LIBRARY</span> <span class="o">--</span> <span class="n">Device</span> <span class="n">runtime</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Required</span> <span class="k">for</span> <span class="n">separable</span> <span class="n">compilation</span><span class="o">.</span> |
| <span class="n">CUDA_cupti_LIBRARY</span> <span class="o">--</span> <span class="n">CUDA</span> <span class="n">Profiling</span> <span class="n">Tools</span> <span class="n">Interface</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">4.0</span><span class="o">+.</span> |
| <span class="n">CUDA_curand_LIBRARY</span> <span class="o">--</span> <span class="n">CUDA</span> <span class="n">Random</span> <span class="n">Number</span> <span class="n">Generation</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">3.2</span><span class="o">+.</span> |
| <span class="n">CUDA_cusolver_LIBRARY</span> <span class="o">--</span> <span class="n">CUDA</span> <span class="n">Direct</span> <span class="n">Solver</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">7.0</span><span class="o">+.</span> |
| <span class="n">CUDA_cusparse_LIBRARY</span> <span class="o">--</span> <span class="n">CUDA</span> <span class="n">Sparse</span> <span class="n">Matrix</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">3.2</span><span class="o">+.</span> |
| <span class="n">CUDA_npp_LIBRARY</span> <span class="o">--</span> <span class="n">NVIDIA</span> <span class="n">Performance</span> <span class="n">Primitives</span> <span class="n">lib</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">4.0</span><span class="o">+.</span> |
| <span class="n">CUDA_nppc_LIBRARY</span> <span class="o">--</span> <span class="n">NVIDIA</span> <span class="n">Performance</span> <span class="n">Primitives</span> <span class="n">lib</span> <span class="p">(</span><span class="n">core</span><span class="p">)</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">5.5</span><span class="o">+.</span> |
| <span class="n">CUDA_nppi_LIBRARY</span> <span class="o">--</span> <span class="n">NVIDIA</span> <span class="n">Performance</span> <span class="n">Primitives</span> <span class="n">lib</span> <span class="p">(</span><span class="n">image</span> <span class="n">processing</span><span class="p">)</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">5.5</span><span class="o">+.</span> |
| <span class="n">CUDA_npps_LIBRARY</span> <span class="o">--</span> <span class="n">NVIDIA</span> <span class="n">Performance</span> <span class="n">Primitives</span> <span class="n">lib</span> <span class="p">(</span><span class="n">signal</span> <span class="n">processing</span><span class="p">)</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">5.5</span><span class="o">+.</span> |
| <span class="n">CUDA_nvcuvenc_LIBRARY</span> <span class="o">--</span> <span class="n">CUDA</span> <span class="n">Video</span> <span class="n">Encoder</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">3.2</span><span class="o">+.</span> |
| <span class="n">Windows</span> <span class="n">only</span><span class="o">.</span> |
| <span class="n">CUDA_nvcuvid_LIBRARY</span> <span class="o">--</span> <span class="n">CUDA</span> <span class="n">Video</span> <span class="n">Decoder</span> <span class="n">library</span><span class="o">.</span> |
| <span class="n">Only</span> <span class="n">available</span> <span class="k">for</span> <span class="n">CUDA</span> <span class="n">version</span> <span class="mf">3.2</span><span class="o">+.</span> |
| <span class="n">Windows</span> <span class="n">only</span><span class="o">.</span> |
| </pre></div> |
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