File size: 8,135 Bytes
406662d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
# 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

"""
This script tests the functionality of texture randomization applied to the cartpole scene.
"""

"""Launch Isaac Sim Simulator first."""

from isaaclab.app import AppLauncher

# launch omniverse app
app_launcher = AppLauncher(headless=True, enable_cameras=True)
simulation_app = app_launcher.app

"""Rest everything follows."""

import math

import pytest
import torch

import omni.usd

import isaaclab.envs.mdp as mdp
from isaaclab.envs import ManagerBasedEnv, ManagerBasedEnvCfg
from isaaclab.managers import EventTermCfg as EventTerm
from isaaclab.managers import ObservationGroupCfg as ObsGroup
from isaaclab.managers import ObservationTermCfg as ObsTerm
from isaaclab.managers import SceneEntityCfg
from isaaclab.utils import configclass
from isaaclab.utils.assets import NVIDIA_NUCLEUS_DIR

from isaaclab_tasks.manager_based.classic.cartpole.cartpole_env_cfg import CartpoleSceneCfg


@configclass
class ActionsCfg:
    """Action specifications for the environment."""

    joint_efforts = mdp.JointEffortActionCfg(asset_name="robot", joint_names=["slider_to_cart"], scale=5.0)


@configclass
class ObservationsCfg:
    """Observation specifications for the environment."""

    @configclass
    class PolicyCfg(ObsGroup):
        """Observations for policy group."""

        # observation terms (order preserved)
        joint_pos_rel = ObsTerm(func=mdp.joint_pos_rel)
        joint_vel_rel = ObsTerm(func=mdp.joint_vel_rel)

        def __post_init__(self) -> None:
            self.enable_corruption = False
            self.concatenate_terms = True

    # observation groups
    policy: PolicyCfg = PolicyCfg()


@configclass
class EventCfg:
    """Configuration for events."""

    # on prestartup apply a new set of textures
    # note from @mayank: Changed from 'reset' to 'prestartup' to make test pass.
    #   The error happens otherwise on Kit thread which is not the main thread.
    cart_texture_randomizer = EventTerm(
        func=mdp.randomize_visual_texture_material,
        mode="prestartup",
        params={
            "asset_cfg": SceneEntityCfg("robot", body_names=["cart"]),
            "texture_paths": [
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Bamboo_Planks/Bamboo_Planks_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Cherry/Cherry_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Oak/Oak_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber/Timber_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber_Cladding/Timber_Cladding_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Walnut_Planks/Walnut_Planks_BaseColor.png",
            ],
            "event_name": "cart_texture_randomizer",
            "texture_rotation": (math.pi / 2, math.pi / 2),
        },
    )

    # on reset apply a new set of textures
    pole_texture_randomizer = EventTerm(
        func=mdp.randomize_visual_texture_material,
        mode="reset",
        params={
            "asset_cfg": SceneEntityCfg("robot", body_names=["pole"]),
            "texture_paths": [
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Bamboo_Planks/Bamboo_Planks_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Cherry/Cherry_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Oak/Oak_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber/Timber_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Timber_Cladding/Timber_Cladding_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Walnut_Planks/Walnut_Planks_BaseColor.png",
            ],
            "event_name": "pole_texture_randomizer",
            "texture_rotation": (math.pi / 2, math.pi / 2),
        },
    )

    reset_cart_position = EventTerm(
        func=mdp.reset_joints_by_offset,
        mode="reset",
        params={
            "asset_cfg": SceneEntityCfg("robot", joint_names=["slider_to_cart"]),
            "position_range": (-1.0, 1.0),
            "velocity_range": (-0.1, 0.1),
        },
    )

    reset_pole_position = EventTerm(
        func=mdp.reset_joints_by_offset,
        mode="reset",
        params={
            "asset_cfg": SceneEntityCfg("robot", joint_names=["cart_to_pole"]),
            "position_range": (-0.125 * math.pi, 0.125 * math.pi),
            "velocity_range": (-0.01 * math.pi, 0.01 * math.pi),
        },
    )


@configclass
class EventCfgFallback:
    """Configuration for events that tests the fallback mechanism."""

    # Test fallback when /visuals pattern doesn't match
    test_fallback_texture_randomizer = EventTerm(
        func=mdp.randomize_visual_texture_material,
        mode="reset",
        params={
            "asset_cfg": SceneEntityCfg("robot", body_names=["slider"]),
            "texture_paths": [
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Bamboo_Planks/Bamboo_Planks_BaseColor.png",
                f"{NVIDIA_NUCLEUS_DIR}/Materials/Base/Wood/Cherry/Cherry_BaseColor.png",
            ],
            "event_name": "test_fallback_texture_randomizer",
            "texture_rotation": (0.0, 0.0),
        },
    )

    reset_cart_position = EventTerm(
        func=mdp.reset_joints_by_offset,
        mode="reset",
        params={
            "asset_cfg": SceneEntityCfg("robot", joint_names=["slider_to_cart"]),
            "position_range": (-1.0, 1.0),
            "velocity_range": (-0.1, 0.1),
        },
    )


@configclass
class CartpoleEnvCfg(ManagerBasedEnvCfg):
    """Configuration for the cartpole environment."""

    # Scene settings
    scene = CartpoleSceneCfg(env_spacing=2.5)

    # Basic settings
    actions = ActionsCfg()
    observations = ObservationsCfg()
    events = EventCfg()

    def __post_init__(self):
        """Post initialization."""
        # viewer settings
        self.viewer.eye = [4.5, 0.0, 6.0]
        self.viewer.lookat = [0.0, 0.0, 2.0]
        # step settings
        self.decimation = 4  # env step every 4 sim steps: 200Hz / 4 = 50Hz
        # simulation settings
        self.sim.dt = 0.005  # sim step every 5ms: 200Hz


@pytest.mark.parametrize("device", ["cpu", "cuda"])
def test_texture_randomization(device):
    """Test texture randomization for cartpole environment."""
    # Create a new stage
    omni.usd.get_context().new_stage()

    try:
        # Set the arguments
        env_cfg = CartpoleEnvCfg()
        env_cfg.scene.num_envs = 16
        env_cfg.scene.replicate_physics = False
        env_cfg.sim.device = device

        # Setup base environment
        env = ManagerBasedEnv(cfg=env_cfg)

        try:
            # Simulate physics
            with torch.inference_mode():
                for count in range(50):
                    # Reset every few steps to check nothing breaks
                    if count % 10 == 0:
                        env.reset()
                    # Sample random actions
                    joint_efforts = torch.randn_like(env.action_manager.action)
                    # Step the environment
                    env.step(joint_efforts)
        finally:
            env.close()
    finally:
        # Clean up stage
        omni.usd.get_context().close_stage()


def test_texture_randomization_failure_replicate_physics():
    """Test texture randomization failure when replicate physics is set to True."""
    # Create a new stage
    omni.usd.get_context().new_stage()

    try:
        # Set the arguments
        cfg_failure = CartpoleEnvCfg()
        cfg_failure.scene.num_envs = 16
        cfg_failure.scene.replicate_physics = True

        # Test that creating the environment raises RuntimeError
        with pytest.raises(RuntimeError):
            env = ManagerBasedEnv(cfg_failure)
            env.close()
    finally:
        # Clean up stage
        omni.usd.get_context().close_stage()