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Copy pathtest_environments.py
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# Copyright (c) 2022-2026, The Isaac Lab Project Developers (https://github.com/isaac-sim/IsaacLab/blob/main/CONTRIBUTORS.md).
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
"""Launch Isaac Sim Simulator first."""
from isaaclab.app import AppLauncher
# launch the simulator
app_launcher = AppLauncher(headless=True, enable_cameras=True, limit_cpu_threads=1)
simulation_app = app_launcher.app
"""Rest everything follows."""
import subprocess
import sys
from pathlib import Path
import pytest
import isaaclab_tasks # noqa: F401
# Local imports should be imported last
from env_test_utils import _run_environments, setup_environment # isort: skip
def _ensure_franka_pour_reset_dataset() -> None:
"""Generate the smallest valid reset dataset when the Pour smoke test needs it."""
repo_root = Path(__file__).resolve().parents[4]
dataset_path = repo_root / "datasets/franka_pour/reset_dataset.pt"
if dataset_path.is_file():
return
subprocess.run(
[
sys.executable,
str(repo_root / "scripts/tools/generate_franka_pour_reset_dataset.py"),
"--device",
"cuda:0",
"--grasping_count",
"100",
"--non_grasping_count",
"6",
"--batch_size",
"128",
],
cwd=repo_root,
check=True,
)
@pytest.mark.parametrize("physics_preset_name", ["newton_mjwarp", "physx", "isaacsim_physx"])
@pytest.mark.parametrize("num_envs, device", [(2, "cuda"), (1, "cuda")])
@pytest.mark.parametrize(
"task_name",
setup_environment(
multi_agent=False,
tier="core",
),
)
@pytest.mark.isaacsim_ci
def test_environments(task_name, physics_preset_name, num_envs, device):
# run environments without stage in memory
_run_environments(
task_name, device, num_envs, create_stage_in_memory=False, physics_preset_name=physics_preset_name
)
@pytest.mark.parametrize("num_envs, device", [(2, "cuda")])
@pytest.mark.parametrize(
"task_name",
setup_environment(
multi_agent=False,
factory_envs=False,
cartpole_showcase_envs=False,
pickplace_stack_envs=False,
teleop_envs=False,
tier="contrib",
),
)
@pytest.mark.isaacsim_ci
def test_contrib_environments(task_name, num_envs, device):
if task_name == "IsaacContrib-Franka-Pour":
_ensure_franka_pour_reset_dataset()
_run_environments(task_name, device, num_envs, create_stage_in_memory=False)