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Mujoco_WASM/python/mujoco/experimental/studio/sample/async.py
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Matija Kecman 7c22920720 Improve async example and remove Network demo code
- Move SimToView and ViewToSim dataclasses from async.py to viewer_protocol.py (adding a user_data field) to consolidate IPC protocol definitions.
  - Remove the simulated Network class and latency UI controls from async.py to simplify the example and focus on core multiprocessing communication.
  - Use parser.parse() in main() for cleaner and more direct MuJoCo model loading.
  - Add cancel_join_thread() to multiprocessing queues and a join timeout to prevent atexit handlers from blocking during process shutdown.

PiperOrigin-RevId: 932327625
Change-Id: If91777dba934814b3f9faa17f9055869920575d7
2026-06-15 02:31:07 -07:00

208 lines
6.4 KiB
Python

# Copyright 2026 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""This script runs a simulation and viewer in separate processes communicating asynchronously.
In this example, we will run the viewer in an independent process communicating
via multiprocessing queues. A slider is provided to adjust the state send rate.
You must provide a mjcf model file via the first command-line argument.
"""
import multiprocessing
import os
import sys
import time
from absl import app as absl_app
from absl import flags as absl_flags
import mujoco
from mujoco.experimental.studio import native_viewer as _viewer
from mujoco.experimental.studio import parser
from mujoco.experimental.studio import sim as _sim
from mujoco.experimental.studio import studio_app
from mujoco.experimental.studio import ux
from mujoco.experimental.studio import viewer_protocol as vp
import numpy as np
from mujoco.experimental.dear_imgui import dear_imgui as imgui
_GFX = absl_flags.DEFINE_enum(
'gfx', None, vp.GFX_MODES, 'Rendering graphics mode.'
)
_WIDTH = absl_flags.DEFINE_integer('width', 1200, 'Width of the output image.')
_HEIGHT = absl_flags.DEFINE_integer('height', 800, 'Height of the output image')
def view(
sim_to_view: multiprocessing.Queue,
view_to_sim: multiprocessing.Queue,
) -> None:
"""Entry-point for process that renders the simulation."""
# Block until the first message (containing the model) arrives.
first_msg = sim_to_view.get()
assert (
first_msg.model is not None
), 'First message must contain the MuJoCo model.'
title = os.path.basename(sys.argv[0])
xfrc_sig = int(mujoco.mjtState.mjSTATE_XFRC_APPLIED)
xfrc_size = mujoco.mj_stateSize(first_msg.model, xfrc_sig)
xfrc_state = np.zeros(xfrc_size, np.float64)
data = mujoco.MjData(first_msg.model)
app = studio_app.StudioApp(first_msg.model, data)
send_rate = 60.0
viewer = _viewer.NativeViewer(
app.model,
title=title,
width=_WIDTH.value,
height=_HEIGHT.value,
gfx=_GFX.value,
)
while viewer.is_running() and app.is_running():
# Drain the queue, keeping only the latest message.
msg = None
while not sim_to_view.empty():
msg = sim_to_view.get()
# Update the camera and compute the perturbation.
app.handle_mouse_events(viewer.camera, viewer.vis_options, viewer.perturb)
# Sync state from the backend if a new payload actually arrived.
if msg is not None and msg.state is not None:
mujoco.mj_setState(app.model, app.data, msg.state, msg.state_sig)
mujoco.mj_forward(app.model, app.data)
# Always apply the perturbation forces from the viewer.
app.apply_perturb(viewer.perturb)
# Transmit user interaction when we get a new state
if msg is not None:
mujoco.mj_getState(app.model, app.data, xfrc_state, xfrc_sig)
view_to_sim.put(
vp.ViewToSim(
send_rate=send_rate, state=xfrc_state, state_sig=xfrc_sig
)
)
# Build the UI.
ux.setup_theme(app.theme)
if imgui.Begin(
'Settings',
flags=int(imgui.WindowFlags.AlwaysAutoResize)
| int(imgui.WindowFlags.NoTitleBar)
| int(imgui.WindowFlags.NoCollapse),
):
imgui.PushItemWidth(200.0)
updated, send_rate = imgui.SliderFloat(
'Send Rate (Hz)', send_rate, 1.0, 120.0
)
if updated:
view_to_sim.put(vp.ViewToSim(send_rate=send_rate))
imgui.SetNextItemWidth(-1)
if imgui.Button('Reset Simulation'):
view_to_sim.put(vp.ViewToSim(reset=True, send_rate=send_rate))
imgui.PopItemWidth()
imgui.End()
viewer.sync(app.model, app.data)
# Prevent multiprocessing.Queue atexit handler from blocking on exit.
sim_to_view.cancel_join_thread()
view_to_sim.cancel_join_thread()
def sim(
data: mujoco.MjData,
model: mujoco.MjModel,
sim_to_view: multiprocessing.Queue,
view_to_sim: multiprocessing.Queue,
view_process: multiprocessing.Process,
) -> None:
"""Entry-point for process that runs the simulation."""
sim_to_view.put(vp.SimToView(model=model))
step_control = _sim.StepControl()
integration_sig = int(mujoco.mjtState.mjSTATE_INTEGRATION)
integration_size = mujoco.mj_stateSize(model, integration_sig)
integration_state = np.empty(integration_size, np.float64)
msg = vp.ViewToSim()
last_send_time = time.time()
while view_process.is_alive():
while not view_to_sim.empty():
msg = view_to_sim.get()
if msg.reset:
mujoco.mj_resetData(model, data)
mujoco.mj_forward(model, data)
msg.reset = False
# Apply perturbation forces received from the viewer process.
if msg.state is not None:
mujoco.mj_setState(model, data, msg.state, msg.state_sig)
# Advance the simulation keeping up with real-time.
step_control.advance(model, data)
# Send the simulation state paced by the requested send_rate.
now = time.time()
if now - last_send_time >= 1.0 / max(1.0, msg.send_rate):
mujoco.mj_getState(model, data, integration_state, integration_sig)
sim_to_view.put(
vp.SimToView(
state=integration_state,
state_sig=integration_sig,
)
)
last_send_time = now
def main(argv: list[str]) -> None:
if len(argv) < 2:
print('Usage: async <model_path.xml>')
sys.exit(1)
data = parser.parse(argv[1])
model = data.model
# Queues for communication between the simulation and viewer processes.
sim_to_view = multiprocessing.Queue()
view_to_sim = multiprocessing.Queue()
# Start the viewer process.
view_process = multiprocessing.Process(
target=view, args=(sim_to_view, view_to_sim)
)
view_process.start()
# Start the simulation in the main process.
sim(data, model, sim_to_view, view_to_sim, view_process)
# Prevent multiprocessing.Queue atexit handler from blocking on exit.
sim_to_view.cancel_join_thread()
view_to_sim.cancel_join_thread()
view_process.join(timeout=5.0)
if __name__ == '__main__':
absl_app.run(main)