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Updates multi-node training commands to also support Spark #3978

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Updates multi-node training commands to also support Spark #3978

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12 changes: 6 additions & 6 deletions docs/source/features/multi_gpu.rst
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Expand Up @@ -141,14 +141,14 @@ For the master node, use the following command, where ``--nproc_per_node`` repre

.. code-block:: shell

python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --rdzv_id=123 --rdzv_backend=c10d --rdzv_endpoint=localhost:5555 scripts/reinforcement_learning/rl_games/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/rl_games/train.py --task=Isaac-Cartpole-v0 --headless --distributed

.. tab-item:: rsl_rl
:sync: rsl_rl

.. code-block:: shell

python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --rdzv_id=123 --rdzv_backend=c10d --rdzv_endpoint=localhost:5555 scripts/reinforcement_learning/rsl_rl/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/rsl_rl/train.py --task=Isaac-Cartpole-v0 --headless --distributed

.. tab-item:: skrl
:sync: skrl
Expand All @@ -160,7 +160,7 @@ For the master node, use the following command, where ``--nproc_per_node`` repre

.. code-block:: shell

python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --rdzv_id=123 --rdzv_backend=c10d --rdzv_endpoint=localhost:5555 scripts/reinforcement_learning/skrl/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/skrl/train.py --task=Isaac-Cartpole-v0 --headless --distributed
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syntax: Extra space before scripts/reinforcement_learning

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python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/skrl/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=0 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/skrl/train.py --task=Isaac-Cartpole-v0 --headless --distributed


.. tab-item:: JAX
:sync: jax
Expand All @@ -181,14 +181,14 @@ For non-master nodes, use the following command, replacing ``--node_rank`` with

.. code-block:: shell

python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=1 --rdzv_id=123 --rdzv_backend=c10d --rdzv_endpoint=ip_of_master_machine:5555 scripts/reinforcement_learning/rl_games/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=1 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/rl_games/train.py --task=Isaac-Cartpole-v0 --headless --distributed

.. tab-item:: rsl_rl
:sync: rsl_rl

.. code-block:: shell

python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=1 --rdzv_id=123 --rdzv_backend=c10d --rdzv_endpoint=ip_of_master_machine:5555 scripts/reinforcement_learning/rsl_rl/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=1 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/rsl_rl/train.py --task=Isaac-Cartpole-v0 --headless --distributed

.. tab-item:: skrl
:sync: skrl
Expand All @@ -200,7 +200,7 @@ For non-master nodes, use the following command, replacing ``--node_rank`` with

.. code-block:: shell

python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=1 --rdzv_id=123 --rdzv_backend=c10d --rdzv_endpoint=ip_of_master_machine:5555 scripts/reinforcement_learning/skrl/train.py --task=Isaac-Cartpole-v0 --headless --distributed
python -m torch.distributed.run --nproc_per_node=2 --nnodes=2 --node_rank=1 --master_addr=<ip_of_master> --master_port=5555 scripts/reinforcement_learning/skrl/train.py --task=Isaac-Cartpole-v0 --headless --distributed

.. tab-item:: JAX
:sync: jax
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2 changes: 0 additions & 2 deletions docs/source/setup/installation/index.rst
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Expand Up @@ -89,8 +89,6 @@ Other notable limitations with respect to Isaac Lab include...

#. Livestream and Hub Workstation Cache are not supported on the DGX spark.

#. Multi-node training may require direct connections between Spark machines or additional network configurations.

#. :ref:`Running Cosmos Transfer1 <running-cosmos>` is not currently supported on the DGX Spark.

Troubleshooting
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