This project contains 5 Vulkan layers:

1. Compile time layer for measuring pipeline compilation times. The output log file location can be set with the VK_COMPILE_TIME_LOG environment variable.
2. Runtime layer for measuring pipeline execution times. The output log file location can be set with the VK_RUNTIME_LOG environment variable.
3. Frame time layer for measuring time between calls to vkQueuePresentKHR, in nanoseconds. This layer can also terminate the parent Vulkan application after a given number of frames, controlled by the VK_FRAME_TIME_EXIT_AFTER_FRAME environment variable. The output log file location can be set with the VK_FRAME_TIME_LOG environment variable. Benchmark start detection is controlled by the VK_FRAME_TIME_BENCHMARK_WATCH_FILE (which file to incrementally scan) and VK_FRAME_TIME_BENCHMARK_START_STRING (string that denotes benchmark start) environment variables.
4. Pipeline cache sideloading layer for supplying pipeline caches to applications that either do not use pipeline caches, or do not initialize them with the intended initial data. The pipeline cache file to load can be specified by setting the VK_PIPELINE_CACHE_SIDELOAD_FILE environment variable. The layer creates an implicit pipeline cache object for each device, initialized with the specified file contents, which then gets merged into application pipeline caches (if any), and makes sure that a valid pipeline cache handle is passed to every pipeline creation. This layer does not produce .csv log files.
5. Device memory usage layer. This layer tracks memory explicitly allocated by the application (VkAllocateMemory), usually for images and buffers. For each frame, current allocation and maximum allocation is written to the log file. The output log file location can be set with the VK_MEMORY_USAGE_LOG environment variable.

The results are saved as CSV files. Setting the VK_PERFORMANCE_LAYERS_EVENT_LOG_FILE environment variable makes all layers append their events (with timestamps) to a single file.

The layers are considered experimental. We welcome contributions and suggestions for improvements; see docs/contributing.md.

The project comes with a set of simple log analysis scripts:

1. analyze_frametimes.py -- processes frame time layer logs. Prints summarized results, outputs frames per second (FPS) as CSV files, and plots frame time distributions.
2. plot_timeline.py -- processes event log files. Plots frames per second (FPS) and pipeline creation times. Sample output:

You can find more details in the descriptions included in each script file.

Sample build instructions:

# Checkout the submodules.
git submodule update --init

# Build and install performance layers.
mkdir -p <BUILD_DIR> ; cd <BUILD_DIR>
cmake .. \
      -GNinja \
      -DCMAKE_C_COMPILER=<COMPILER> \
      -DCMAKE_CXX_COMPILER=<COMPILER> \
      -DCMAKE_BUILD_TYPE=<CONFIGURATION> \
      -DCMAKE_INSTALL_PREFIX=run \
      -DVULKAN_HEADERS_INSTALL_DIR=<PATH_TO_VULKAN_HEADERS_INSTALL> \
      -DVULKAN_LOADER_GENERATED_DIR=<PATH_TO_VULKAN_LOADER>/loader/generated \
    && ninja \
    && ninja install

CMAKE_BUILD_TYPE options are: Release, Debug, RelWithDebInfo, MinSizeRel.

NOTE: VULKAN_HEADERS_INSTALL_DIR and VULKAN_LOADER_GENERATED_DIR must be absolute paths.

NOTE: VULKAN_HEADERS_INSTALL_DIR must be set to the installation directory of Vulkan-Headers. For example, if you build directory is VULKAN_HEADERS_BUILD and your build commands were:

cmake <PATH_TO_VULKAN_HEADERS> -GNinja -DCMAKE_INSTALL_PREFIX=run
ninja
ninja install

you should set VULKAN_HEADERS_INSTALL_DIR to VULKAN_HEADERS_BUILD/run.

NOTE: VULKAN_LOADER_GENERATED_DIR should be the directory that contains vk_layer_dispatch_table.h. For example, if you cloned Vulkan-Loader to PATH_TO_VULKAN_LOADER, you should set VULKAN_LOADER_GENERATED_DIR to PATH_TO_VULKAN_LOADER/loader/generated.

See docker/build.Dockerfile for detailed Ubuntu build instructions.

For operating systems other than Linux, see: https://vulkan.lunarg.com/doc/view/1.3.211.0/linux/layer_configuration.html or the documentation from your Vulkan SDK vendor.

There are many ways to enable Vulkan layers, and we present one way that works on Linux. For a more comprehensive Vulkan layer configuration tutorial, see https://vulkan.lunarg.com/doc/view/1.3.211.0/linux/layer_configuration.html.

$LD_LIBRARY_PATH: Need to append the directory containing the .so files of performance layers to the $LD_LIBRARY_PATH.

export LD_LIBRARY_PATH=<path-with-layers.so>:$LD_LIBRARY_PATH

$VK_INSTANCE_LAYERS: Specify which of the following layers to enable.

1. VK_LAYER_STADIA_pipeline_compile_time
2. VK_LAYER_STADIA_pipeline_runtime
3. VK_LAYER_STADIA_pipeline_cache_sideload
4. VK_LAYER_STADIA_pipeline_memory_usage
5. VK_LAYER_STADIA_pipeline_frame_time

To enable multiple layers, separate them with colons. The following command enables both compile time and runtime layers.

export VK_INSTANCE_LAYERS=VK_LAYER_STADIA_pipeline_compile_time:VK_LAYER_STADIA_pipeline_runtime

VK_LAYER_PATH: Path to the directory containing the json files with the name of the layers.

export VK_LAYER_PATH=<path-with-layer-json>

Each layer writes its results in a specific log file. You can determine the path to the log file for each layer by setting its corresponding environment variable.

export VK_COMPILE_TIME_LOG=<log-file-path>

To check if the layers are enabled, you can run a sample Vulkan application (such as vkcube) and look for the generated layer log files, or check the Vulkan loader logs.

This is not an officially supported Google product. Support and/or new releases may be limited.