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extern crate relayrl_framework;
use criterion::measurement::WallTime;
use criterion::{
BenchmarkGroup, BenchmarkId, Criterion, Throughput, criterion_group, criterion_main,
};
use relayrl_framework::network::client::agent_wrapper::RelayRLAgent;
use relayrl_framework::network::server::training_server_wrapper::TrainingServer;
use relayrl_framework::orchestration::tokio::utils::get_or_init_tokio_runtime;
use std::sync::Arc;
use std::time::Duration;
use relayrl_framework::network::client::agent_grpc::RelayRLAgentGrpcTrait;
use relayrl_framework::network::client::agent_zmq::RelayRLAgentZmqTrait;
use tch::{Device, Kind, Tensor};
use tokio::runtime::Runtime;
use tokio::sync::RwLock;
const TRAJECTORY_SIZES: [usize; 6] = [10, 50, 100, 250, 500, 1000];
const NEXT_ACTION_WAIT_MILLIS: [u64; 8] = [1000, 750, 500, 333, 250, 100, 50, 25];
/// Benchmark gRPC agent inference
#[cfg(any(feature = "networks", feature = "grpc_network"))]
fn benchmark_grpc_agent_inference(c: &mut Criterion) {
let rt: Arc<Runtime> = get_or_init_tokio_runtime();
let mut group: BenchmarkGroup<WallTime> = c.benchmark_group("gRPC Agent Inference");
group.measurement_time(Duration::from_secs(30));
group.bench_function("grpc_agent_inference", |b| {
b.iter(|| {
rt.block_on(async {
let server: Arc<RwLock<TrainingServer>> = TrainingServer::new(
"_BENCHMARK".to_string(),
2,
2,
1000,
1,
false,
false,
None,
None,
None,
None,
Some("grpc".to_string()),
None,
None,
None,
)
.await;
let mut agent: RelayRLAgent =
RelayRLAgent::new(None, None, Some("grpc".to_string()), None, None, None).await;
{
if let Some(grpc_agent) = &mut agent.agent_grpc {
let obs_tensor: Tensor = Tensor::ones([4], (Kind::Uint8, Device::Cpu));
let mask_tensor: Tensor = Tensor::from_slice(&[0.0]);
let reward: f32 = 0.0;
// Perform inference
let _ = grpc_agent
.request_for_action(obs_tensor, mask_tensor, reward)
.await
.expect("Failed to get RelayRLAction");
}
}
})
})
});
group.finish();
}
/// Benchmark ZMQ agent inference
#[cfg(any(feature = "networks", feature = "zmq_server"))]
fn benchmark_zmq_agent_inference(c: &mut Criterion) {
let rt: Arc<Runtime> = get_or_init_tokio_runtime();
let mut group: BenchmarkGroup<WallTime> = c.benchmark_group("ZMQ Agent Inference");
group.measurement_time(Duration::from_secs(30));
group.bench_function("zmq_agent_inference", |b| {
b.iter(|| {
rt.block_on(async {
let server: Arc<RwLock<TrainingServer>> = TrainingServer::new(
"_BENCHMARK".to_string(),
2,
2,
1000,
1,
false,
false,
None,
None,
None,
None,
Some("zmq".to_string()),
None,
None,
None,
)
.await;
let mut agent: RelayRLAgent =
RelayRLAgent::new(None, None, Some("zmq".to_string()), None, None, None).await;
{
if let Some(zmq_agent) = &mut agent.agent_zmq {
let obs_tensor: Tensor = Tensor::ones([4], (Kind::Uint8, Device::Cpu));
let mask_tensor: Tensor = Tensor::from_slice(&[0.0]);
let reward: f32 = 0.0;
// Perform inference
let _ = zmq_agent
.request_for_action(&obs_tensor, &mask_tensor, reward)
.expect("Failed to get RelayRLAction");
}
}
})
})
});
group.finish();
}
/// Benchmarks for round-trip latency between gRPC client and server
#[cfg(any(feature = "networks", feature = "grpc_network"))]
fn benchmark_grpc_latency(c: &mut Criterion) {
let rt: Arc<Runtime> = get_or_init_tokio_runtime();
let mut group: BenchmarkGroup<WallTime> = c.benchmark_group("gRPC Network Latency");
group.measurement_time(Duration::from_secs(10));
for size in TRAJECTORY_SIZES.iter() {
group.throughput(Throughput::Bytes(*size as u64));
group.bench_with_input(BenchmarkId::from_parameter(size), size, |b, &size| {
b.iter(|| {
rt.block_on(async {
let server: Arc<RwLock<TrainingServer>> = TrainingServer::new(
"_BENCHMARK".to_string(),
2,
2,
1000,
1,
false,
false,
None,
None,
None,
None,
Some("grpc".to_string()),
None,
None,
None,
)
.await;
let mut agent: RelayRLAgent =
RelayRLAgent::new(None, None, Some("grpc".to_string()), None, None, None)
.await;
{
// Send enough trajectories to a trigger a new model update (after the handshake)
if let Some(grpc_agent) = &mut agent.agent_grpc {
let reward: f32 = 0.0;
let mut iter: i32 = 0;
loop {
// Stop after the first model update
if grpc_agent.get_model_version().await > 1 {
break;
}
// Flag the last action as done, _BENCHMARK will save a new model
if iter > size as i32 {
grpc_agent.flag_last_action(reward).await;
iter = -1;
}
// So long as it's not the last action, iterate
if iter >= 0 {
iter += 1
}
let obs_tensor: Tensor =
Tensor::ones([4], (Kind::Uint8, Device::Cpu));
let mask_tensor: Tensor = Tensor::from_slice(&[0.0]);
// Request actions (fills trajectory buffer)
let _ = grpc_agent
.request_for_action(obs_tensor, mask_tensor, reward)
.await
.expect("Failed to get RelayRLAction");
tokio::time::sleep(Duration::from_millis(50)).await;
}
}
}
})
})
});
}
group.finish();
}
/// Benchmarks for round-trip latency between ZMQ client and server
#[cfg(any(feature = "networks", feature = "zmq_server"))]
fn benchmark_zmq_latency(c: &mut Criterion) {
let rt: Arc<Runtime> = get_or_init_tokio_runtime();
let mut group: BenchmarkGroup<WallTime> = c.benchmark_group("ZMQ Network Latency");
group.measurement_time(Duration::from_secs(10));
for size in TRAJECTORY_SIZES.iter() {
group.throughput(Throughput::Bytes(*size as u64));
group.bench_with_input(BenchmarkId::from_parameter(size), size, |b, &size| {
b.iter(|| {
rt.block_on(async {
let server: Arc<RwLock<TrainingServer>> = TrainingServer::new(
"_BENCHMARK".to_string(),
2,
2,
1000,
1,
false,
false,
None,
None,
None,
None,
Some("zmq".to_string()),
None,
None,
None,
)
.await;
let mut agent: RelayRLAgent =
RelayRLAgent::new(None, None, Some("zmq".to_string()), None, None, None)
.await;
{
// Send enough trajectories to a trigger a new model update (after the handshake)
if let Some(zmq_agent) = &mut agent.agent_zmq {
let obs_tensor: Tensor = Tensor::ones([4], (Kind::Uint8, Device::Cpu));
let mask_tensor: Tensor = Tensor::from_slice(&[0.0]);
let reward: f32 = 0.0;
let mut iter: i32 = 0;
loop {
// Stop after the first model update
if zmq_agent.get_model_version() > 1 {
break;
}
// Flag the last action as done, _BENCHMARK will save a new model
if iter > size as i32 {
zmq_agent.flag_last_action(reward);
iter = -1;
}
// So long as it's not the last action, iterate
if iter >= 0 {
iter += 1
}
// Request actions (fills trajectory buffer)
let _ = zmq_agent
.request_for_action(&obs_tensor, &mask_tensor, reward)
.expect("Failed to get RelayRLAction");
tokio::time::sleep(Duration::from_millis(100)).await;
}
}
}
})
})
});
}
group.finish();
}
/// Benchmarks for throughput between gRPC client and server
#[cfg(any(feature = "networks", feature = "grpc_network"))]
fn benchmark_grpc_throughput(c: &mut Criterion) {
let rt: Arc<Runtime> = get_or_init_tokio_runtime();
let mut group: BenchmarkGroup<WallTime> = c.benchmark_group("gRPC Network Throughput");
group.measurement_time(Duration::from_secs(60));
for millis in NEXT_ACTION_WAIT_MILLIS.iter() {
for size in TRAJECTORY_SIZES.iter() {
group.throughput(Throughput::Bytes(*size as u64));
group.bench_with_input(BenchmarkId::from_parameter(size), size, |b, &size| {
b.iter(|| {
rt.block_on(async {
let server: Arc<RwLock<TrainingServer>> = TrainingServer::new(
"_BENCHMARK".to_string(),
2,
2,
1000,
1,
false,
false,
None,
None,
None,
None,
Some("grpc".to_string()),
None,
None,
None,
)
.await;
let mut agent: RelayRLAgent = RelayRLAgent::new(
None,
None,
Some("grpc".to_string()),
None,
None,
None,
)
.await;
{
// Send enough trajectories to a trigger a new model update (after the handshake)
if let Some(grpc_agent) = &mut agent.agent_grpc {
let reward: f32 = 0.0;
let mut iter: i32 = 0;
loop {
// Stop after the first model update
if grpc_agent.get_model_version().await > 1 {
break;
}
// Flag the last action as done, _BENCHMARK will save a new model
if iter > size as i32 {
grpc_agent.flag_last_action(reward).await;
iter = -1;
}
// So long as it's not the last action, iterate
if iter >= 0 {
iter += 1
}
let obs_tensor: Tensor =
Tensor::ones([4], (Kind::Uint8, Device::Cpu));
let mask_tensor: Tensor = Tensor::from_slice(&[0.0]);
// Request actions (fills trajectory buffer)
let _ = grpc_agent
.request_for_action(obs_tensor, mask_tensor, reward)
.await
.expect("Failed to get RelayRLAction")
.get_act();
tokio::time::sleep(Duration::from_millis(*millis)).await;
}
}
}
})
})
});
}
}
}
/// Benchmarks for throughput between ZMQ client and server
#[cfg(any(feature = "networks", feature = "zmq_server"))]
fn benchmark_zmq_throughput(c: &mut Criterion) {
let rt: Arc<Runtime> = get_or_init_tokio_runtime();
let mut group: BenchmarkGroup<WallTime> = c.benchmark_group("ZMQ Network Throughput");
group.measurement_time(Duration::from_secs(60));
for millis in NEXT_ACTION_WAIT_MILLIS.iter() {
for size in TRAJECTORY_SIZES.iter() {
group.throughput(Throughput::Bytes(*size as u64));
group.bench_with_input(BenchmarkId::from_parameter(size), size, |b, &size| {
b.iter(|| {
rt.block_on(async {
let server: Arc<RwLock<TrainingServer>> = TrainingServer::new(
"_BENCHMARK".to_string(),
2,
2,
1000,
1,
false,
false,
None,
None,
None,
None,
Some("zmq".to_string()),
None,
None,
None,
)
.await;
let mut agent: RelayRLAgent = RelayRLAgent::new(
None,
None,
Some("zmq".to_string()),
None,
None,
None,
)
.await;
{
// Send enough trajectories to a trigger a new model update (after the handshake)
if let Some(zmq_agent) = &mut agent.agent_zmq {
let obs_tensor: Tensor =
Tensor::ones([4], (Kind::Uint8, Device::Cpu));
let mask_tensor: Tensor = Tensor::from_slice(&[0.0]);
let reward: f32 = 0.0;
let mut iter: i32 = 0;
loop {
// Stop after the first model update
if zmq_agent.get_model_version() > 1 {
break;
}
// Flag the last action as done, _BENCHMARK will save a new model
if iter > size as i32 {
zmq_agent.flag_last_action(reward);
iter = -1;
}
// So long as it's not the last action, iterate
if iter >= 0 {
iter += 1
}
// Request actions (fills trajectory buffer)
let _ = zmq_agent
.request_for_action(&obs_tensor, &mask_tensor, reward)
.expect("Failed to get RelayRLAction")
.get_act();
tokio::time::sleep(Duration::from_millis(*millis)).await;
}
}
}
})
})
});
}
}
group.finish();
}
criterion_group!(
network_benches,
benchmark_grpc_agent_inference,
benchmark_zmq_agent_inference,
benchmark_grpc_latency,
benchmark_zmq_latency,
benchmark_grpc_throughput,
benchmark_zmq_throughput
);
criterion_main!(network_benches);