Fixes template generator

docs/source/overview/developer-guide/template.rst

@@ -68,9 +68,22 @@ Here are some general commands to get started with it:
 
 * Install the project (in editable mode).
 
-  .. code:: bash
+  .. tab-set::
+    :sync-group: os
 
-    python -m pip install -e source/<given-project-name>
+    .. tab-item:: :icon:`fa-brands fa-linux` Linux
+        :sync: linux
+
+        .. code-block:: bash
+
+          python -m pip install -e source/<given-project-name>
+
+    .. tab-item:: :icon:`fa-brands fa-windows` Windows
+        :sync: windows
+
+        .. code-block:: batch
+
+          python -m pip install -e source\<given-project-name>
 
 * List the tasks available in the project.
 
@@ -79,14 +92,90 @@ Here are some general commands to get started with it:
     If the task names change, it may be necessary to update the search pattern ``"Template-"``
     (in the ``scripts/list_envs.py`` file) so that they can be listed.
 
-  .. code:: bash
+  .. tab-set::
+    :sync-group: os
+
+    .. tab-item:: :icon:`fa-brands fa-linux` Linux
+        :sync: linux
+
+        .. code-block:: bash
+
+          python scripts/list_envs.py
+
+    .. tab-item:: :icon:`fa-brands fa-windows` Windows
+        :sync: windows
+
+        .. code-block:: batch
 
-    python scripts/list_envs.py
+          python scripts\list_envs.py
 
 * Run a task.
 
-  .. code:: bash
+  .. tab-set::
+    :sync-group: os
 
-    python scripts/<specific-rl-library>/train.py --task=<Task-Name>
+    .. tab-item:: :icon:`fa-brands fa-linux` Linux
+        :sync: linux
+
+        .. code-block:: bash
+
+          python scripts/<specific-rl-library>/train.py --task=<Task-Name>
+
+    .. tab-item:: :icon:`fa-brands fa-windows` Windows
+        :sync: windows
+
+        .. code-block:: batch
+
+          python scripts\<specific-rl-library>\train.py --task=<Task-Name>
 
 For more details, please follow the instructions in the generated project's ``README.md`` file.
+
+Internal task usage (once generated)
+---------------------------------------
+
+Once the internal task is generated, it will be available along with the rest of the Isaac Lab tasks.
+
+Here are some general commands to get started with it:
+
+.. note::
+
+  If Isaac Lab is not installed in a conda environment or in a (virtual) Python environment, use ``./isaaclab.sh -p``
+  (or ``isaaclab.bat -p`` on Windows) instead of ``python`` to run the commands below.
+
+* List the tasks available in Isaac Lab.
+
+  .. tab-set::
+    :sync-group: os
+
+    .. tab-item:: :icon:`fa-brands fa-linux` Linux
+        :sync: linux
+
+        .. code-block:: bash
+
+          python scripts/environments/list_envs.py
+
+    .. tab-item:: :icon:`fa-brands fa-windows` Windows
+        :sync: windows
+
+        .. code-block:: batch
+
+          python scripts\environments\list_envs.py
+
+* Run a task.
+
+  .. tab-set::
+    :sync-group: os
+
+    .. tab-item:: :icon:`fa-brands fa-linux` Linux
+        :sync: linux
+
+        .. code-block:: bash
+
+          python scripts/reinforcement_learning/<specific-rl-library>/train.py --task=<Task-Name>
+
+    .. tab-item:: :icon:`fa-brands fa-windows` Windows
+        :sync: windows
+
+        .. code-block:: batch
+
+          python scripts\reinforcement_learning\<specific-rl-library>\train.py --task=<Task-Name>

tools/template/cli.py

@@ -4,14 +4,13 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 import enum
-import glob
 import os
 from collections.abc import Callable
 
 import rich.console
 import rich.table
-from common import ROOT_DIR, TEMPLATE_DIR
-from generator import generate
+from common import ROOT_DIR
+from generator import generate, get_algorithms_per_rl_library
 from InquirerPy import inquirer, separator
 
 
@@ -144,16 +143,6 @@ class State(str, enum.Enum):
     No = "[red]no[/red]"
 
 
-def _get_algorithms_per_rl_library():
-    data = {"rl_games": [], "rsl_rl": [], "skrl": [], "sb3": []}
-    for file in glob.glob(os.path.join(TEMPLATE_DIR, "agents", "*_cfg")):
-        for rl_library in data.keys():
-            basename = os.path.basename(file).replace("_cfg", "")
-            if basename.startswith(f"{rl_library}_"):
-                data[rl_library].append(basename.replace(f"{rl_library}_", "").upper())
-    return data
-
-
 def main() -> None:
     """Main function to run template generation from CLI."""
     cli_handler = CLIHandler()
@@ -207,10 +196,12 @@ def main() -> None:
         default=supported_workflows,
     )
     workflow = [{"name": item.split(" | ")[0].lower(), "type": item.split(" | ")[1].lower()} for item in workflow]
+    single_agent_workflow = [item for item in workflow if item["type"] == "single-agent"]
+    multi_agent_workflow = [item for item in workflow if item["type"] == "multi-agent"]
 
     # RL library
     rl_library_algorithms = []
-    algorithms_per_rl_library = _get_algorithms_per_rl_library()
+    algorithms_per_rl_library = get_algorithms_per_rl_library()
     # - show supported RL libraries and features
     rl_library_table = rich.table.Table(title="Supported RL libraries")
     rl_library_table.add_column("RL/training feature", no_wrap=True)
@@ -219,25 +210,29 @@ def main() -> None:
     rl_library_table.add_column("skrl")
     rl_library_table.add_column("sb3")
     rl_library_table.add_row("ML frameworks", "PyTorch", "PyTorch", "PyTorch, JAX", "PyTorch")
+    rl_library_table.add_row("Relative performance", "~1X", "~1X", "~1X", "~0.03X")
     rl_library_table.add_row(
         "Algorithms",
         ", ".join(algorithms_per_rl_library.get("rl_games", [])),
         ", ".join(algorithms_per_rl_library.get("rsl_rl", [])),
         ", ".join(algorithms_per_rl_library.get("skrl", [])),
         ", ".join(algorithms_per_rl_library.get("sb3", [])),
     )
-    rl_library_table.add_row("Relative performance", "~1X", "~1X", "~1X", "~0.03X")
+    rl_library_table.add_row("Multi-agent support", State.Yes, State.No, State.Yes, State.No)
     rl_library_table.add_row("Distributed training", State.Yes, State.No, State.Yes, State.No)
     rl_library_table.add_row("Vectorized training", State.Yes, State.Yes, State.Yes, State.No)
     rl_library_table.add_row("Fundamental/composite spaces", State.No, State.No, State.Yes, State.No)
     cli_handler.output_table(rl_library_table)
     # - prompt for RL libraries
-    supported_rl_libraries = ["rl_games", "rsl_rl", "skrl", "sb3"]
+    supported_rl_libraries = (
+        ["rl_games", "rsl_rl", "skrl", "sb3"] if len(single_agent_workflow) else ["rl_games", "skrl"]
+    )
     selected_rl_libraries = cli_handler.get_choices(
         cli_handler.input_checkbox("RL library:", choices=[*supported_rl_libraries, "---", "all"]),
         default=supported_rl_libraries,
     )
     # - prompt for algorithms per RL library
+    algorithms_per_rl_library = get_algorithms_per_rl_library(len(single_agent_workflow), len(multi_agent_workflow))
     for rl_library in selected_rl_libraries:
         algorithms = algorithms_per_rl_library.get(rl_library, [])
         if len(algorithms) > 1:

tools/template/common.py

@@ -5,6 +5,11 @@
 
 import os
 
+# paths
 ROOT_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 TASKS_DIR = os.path.join(ROOT_DIR, "source", "isaaclab_tasks", "isaaclab_tasks")
 TEMPLATE_DIR = os.path.join(ROOT_DIR, "tools", "template", "templates")
+
+# RL algorithms
+SINGLE_AGENT_ALGORITHMS = ["AMP", "PPO"]
+MULTI_AGENT_ALGORITHMS = ["IPPO", "MAPPO"]

tools/template/generator.py

@@ -11,7 +11,7 @@
 from datetime import datetime
 
 import jinja2
-from common import ROOT_DIR, TASKS_DIR, TEMPLATE_DIR
+from common import MULTI_AGENT_ALGORITHMS, ROOT_DIR, SINGLE_AGENT_ALGORITHMS, TASKS_DIR, TEMPLATE_DIR
 
 jinja_env = jinja2.Environment(
     loader=jinja2.FileSystemLoader(TEMPLATE_DIR),
@@ -260,6 +260,28 @@ def _external(specification: dict) -> None:
     print("-" * 80)
 
 
+def get_algorithms_per_rl_library(single_agent: bool = True, multi_agent: bool = True):
+    assert single_agent or multi_agent, "At least one of 'single_agent' or 'multi_agent' must be True"
+    data = {"rl_games": [], "rsl_rl": [], "skrl": [], "sb3": []}
+    # get algorithms
+    for file in glob.glob(os.path.join(TEMPLATE_DIR, "agents", "*_cfg")):
+        for rl_library in data.keys():
+            basename = os.path.basename(file).replace("_cfg", "")
+            if basename.startswith(f"{rl_library}_"):
+                algorithm = basename.replace(f"{rl_library}_", "").upper()
+                assert (
+                    algorithm in SINGLE_AGENT_ALGORITHMS or algorithm in MULTI_AGENT_ALGORITHMS
+                ), f"{algorithm} algorithm is not listed in the supported algorithms"
+                if single_agent and algorithm in SINGLE_AGENT_ALGORITHMS:
+                    data[rl_library].append(algorithm)
+                if multi_agent and algorithm in MULTI_AGENT_ALGORITHMS:
+                    data[rl_library].append(algorithm)
+    # remove duplicates and sort
+    for rl_library in data.keys():
+        data[rl_library] = sorted(list(set(data[rl_library])))
+    return data
+
+
 def generate(specification: dict) -> None:
     """Generate the project/task.
 

tools/template/templates/agents/rsl_rl_ppo_cfg

@@ -9,7 +9,7 @@ from isaaclab_rl.rsl_rl import RslRlOnPolicyRunnerCfg, RslRlPpoActorCriticCfg, R
 
 
 @configclass
-class CartpolePPORunnerCfg(RslRlOnPolicyRunnerCfg):
+class PPORunnerCfg(RslRlOnPolicyRunnerCfg):
     num_steps_per_env = 16
     max_iterations = 150
     save_interval = 50

tools/template/templates/tasks/__init__task

@@ -27,15 +27,15 @@ gym.register(
   {% for algorithm in rl_library.algorithms %}
     {# configuration file #}
     {% if rl_library.name == "rsl_rl" %}
-      {% set agent_config = rl_library.name ~ "_" ~ algorithm ~ "_cfg:" ~ algorithm|upper ~ "RunnerCfg" %}
+      {% set agent_config = "." ~ rl_library.name ~ "_" ~ algorithm ~ "_cfg:" ~ algorithm|upper ~ "RunnerCfg" %}
     {% else %}
-      {% set agent_config = rl_library.name ~ "_" ~ algorithm ~ "_cfg.yaml" %}
+      {% set agent_config = ":" ~ rl_library.name ~ "_" ~ algorithm ~ "_cfg.yaml" %}
     {% endif %}
     {# library configuration #}
     {% if algorithm == "ppo" %}
-        "{{ rl_library.name }}_cfg_entry_point": f"{agents.__name__}:{{ agent_config }}",
+        "{{ rl_library.name }}_cfg_entry_point": f"{agents.__name__}{{ agent_config }}",
     {% else %}
-        "{{ rl_library.name }}_{{ algorithm }}_cfg_entry_point": f"{agents.__name__}:{{ agent_config }}",
+        "{{ rl_library.name }}_{{ algorithm }}_cfg_entry_point": f"{agents.__name__}{{ agent_config }}",
     {% endif %}
   {% endfor %}
 {% endfor %}