Simple profiler scopes for wgpu using timer queries
tracy
feature flag)Create a new profiler object:
use wgpu_profiler::{wgpu_profiler, GpuProfiler, GpuProfilerSettings};
// ...
let mut profiler = GpuProfiler::new(GpuProfilerSettings::default());
Now you can start creating profiler scopes:
// You can now open profiling scopes on any encoder or pass:
let mut scope = profiler.scope("name of your scope", &mut encoder, &device);
// Scopes can be nested arbitrarily!
let mut nested_scope = scope.scope("nested!", &device);
// Scopes on encoders can be used to easily create profiled passes!
let mut compute_pass = nested_scope.scoped_compute_pass("profiled compute", &device);
// Scopes expose the underlying encoder or pass they wrap:
compute_pass.set_pipeline(&pipeline);
// ...
// Scopes created this way are automatically closed when dropped.
GpuProfiler
reads the device features on first use:
wgpu::Features::TIMESTAMP_QUERY
is required to emit any timer queries.
Scope::scoped_compute_pass
/Scope::scoped_render_pass
wgpu::Features::TIMESTAMP_QUERY_INSIDE_ENCODERS
is required to issue queries at any point within encoders.wgpu::Features::TIMESTAMP_QUERY_INSIDE_PASSES
is required to issue queries at any point within passes.Wgpu-profiler needs to insert buffer copy commands, so when you're done with an encoder and won't do any more profiling scopes on it, you need to resolve the queries:
profiler.resolve_queries(&mut encoder);
And finally, to end a profiling frame, call end_frame
. This does a few checks and will let you know if something is off!
profiler.end_frame().unwrap();
Retrieving the oldest available frame and writing it out to a chrome trace file.
if let Some(profiling_data) = profiler.process_finished_frame(queue.get_timestamp_period()) {
wgpu_profiler::chrometrace::write_chrometrace(std::path::Path::new("mytrace.json"), &profiling_data);
}
To get a look of it in action, check out the example project!
Licensed under either of
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.