Add LSF support

CHANGELOG.md

@@ -146,6 +146,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added `FastForwardSampler` and `CaptureIterableDataset` ([#8307](https://github.com/PyTorchLightning/pytorch-lightning/pull/8307))
 
 
+- Added `LSFEnvironment` for distributed training with the LSF resource manager `jsrun` ([#5102](https://github.com/PyTorchLightning/pytorch-lightning/pull/5102))
+
+
 ### Changed
 
 

docs/source/extensions/plugins.rst

@@ -148,6 +148,7 @@ Cluster Environments
 
     ClusterEnvironment
     LightningEnvironment
+    LSFEnvironment
     TorchElasticEnvironment
     KubeflowEnvironment
     SLURMEnvironment

pytorch_lightning/plugins/environments/__init__.py

@@ -14,5 +14,6 @@
 from pytorch_lightning.plugins.environments.cluster_environment import ClusterEnvironment  # noqa: F401
 from pytorch_lightning.plugins.environments.kubeflow_environment import KubeflowEnvironment  # noqa: F401
 from pytorch_lightning.plugins.environments.lightning_environment import LightningEnvironment  # noqa: F401
+from pytorch_lightning.plugins.environments.lsf_environment import LSFEnvironment  # noqa: F401
 from pytorch_lightning.plugins.environments.slurm_environment import SLURMEnvironment  # noqa: F401
 from pytorch_lightning.plugins.environments.torchelastic_environment import TorchElasticEnvironment  # noqa: F401

pytorch_lightning/plugins/environments/lsf_environment.py

@@ -0,0 +1,160 @@
+# Copyright The PyTorch Lightning team.
+#
+# 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
+#
+#     http://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.
+
+import os
+import socket
+
+from pytorch_lightning import _logger as log
+from pytorch_lightning.plugins.environments import ClusterEnvironment
+
+
+class LSFEnvironment(ClusterEnvironment):
+    """
+    An environment for running on clusters managed by the LSF resource manager.
+
+    It is expected that any execution using this ClusterEnvironment was executed
+    using the Job Step Manager i.e. ``jsrun``.
+
+    This plugin expects the following environment variables.
+
+    LSB_JOBID:
+        The LSF assigned job ID
+
+    LSB_HOSTS:
+        The hosts used in the job. This string is expected to have the format "batch <rank_0_host> ...."
+
+    JSM_NAMESPACE_LOCAL_RANK:
+        The node local rank for the task. This environment variable is set by jsrun
+
+    JSM_NAMESPACE_SIZE:
+        The world size for the task. This environment variable is set by jsrun
+    """
+
+    def __init__(self):
+        self._master_address = self._get_master_address()
+        self._master_port = self._get_master_port()
+        log.debug(f"MASTER_ADDR: {self._master_address}")
+        log.debug(f"MASTER_PORT: {self._master_port}")
+
+    @staticmethod
+    def is_using_lsf() -> bool:
+        """ Returns ``True`` if the current process was launched using the jsrun command. """
+        required_env_vars = (
+            "LSB_JOBID",
+            "LSB_HOSTS",
+            "JSM_NAMESPACE_LOCAL_RANK",
+            "JSM_NAMESPACE_SIZE",
+        )
+        return all(v in os.environ for v in required_env_vars)
+
+    def creates_children(self) -> bool:
+        return True
+
+    def master_address(self):
+        """ The master address is read from a list of hosts contained in the environment variable `LSB_HOSTS`. """
+        return self._master_address
+
+    def master_port(self):
+        """ THe master port gets calculated from the LSF job ID. """
+        return self._master_port
+
+    def world_size(self):
+        """ The world size is read from the environment variable `JSM_NAMESPACE_SIZE`. """
+        var = "JSM_NAMESPACE_SIZE"
+        world_size = os.environ.get(var)
+        if world_size is None:
+            raise ValueError(
+                f"Cannot determine world size from environment variable {var}."
+                " Make sure you run your executable with `jsrun`"
+            )
+        return int(world_size)
+
+    def set_world_size(self, size: int) -> None:
+        log.debug("LSFEnvironment.set_world_size was called, but setting world size is not allowed. Ignored.")
+
+    def global_rank(self):
+        """ The world size is read from the environment variable `JSM_NAMESPACE_RANK`. """
+        var = "JSM_NAMESPACE_RANK"
+        global_rank = os.environ.get(var)
+        if global_rank is None:
+            raise ValueError(
+                f"Cannot determine global rank from environment variable {var}."
+                " Make sure you run your executable with `jsrun`"
+            )
+        return int(global_rank)
+
+    def set_global_rank(self, rank: int) -> None:
+        log.debug("LSFEnvironment.set_global_rank was called, but setting global rank is not allowed. Ignored.")
+
+    def local_rank(self):
+        """ The local rank is read from the environment variable `JSM_NAMESPACE_LOCAL_RANK`. """
+        var = "JSM_NAMESPACE_LOCAL_RANK"
+        local_rank = os.environ.get(var)
+        if local_rank is None:
+            raise ValueError(
+                f"Cannot determine local rank from environment variable {var}."
+                " Make sure you run your executable with `jsrun`"
+            )
+        return int(local_rank)
+
+    def node_rank(self):
+        """
+        The node rank is determined by the position of the current hostname in the list of hosts stored in
+        the environment variable `LSB_HOSTS`.
+        """
+        hosts = self._read_hosts()
+        count = dict()
+        for host in hosts:
+            if "batch" in host or "login" in host:
+                continue
+            if host not in count:
+                count[host] = len(count)
+        return count[socket.gethostname()]
+
+    @staticmethod
+    def _read_hosts():
+        hosts = os.environ.get("LSB_HOSTS")
+        if not hosts:
+            raise ValueError("Could not find hosts in environment variable LSB_HOSTS")
+        hosts = hosts.split()
+        if len(hosts) < 2:
+            raise ValueError(
+                "Cannot parse hosts from LSB_HOSTS environment variable."
+                " Expected format: \"batch <rank_0_host> ...\""
+            )
+        return hosts
+
+    def _get_master_address(self):
+        hosts = self._read_hosts()
+        return hosts[1]
+
+    @staticmethod
+    def _get_master_port():
+        """
+        A helper function for accessing the master port.
+        Uses the LSF job ID so all ranks can compute the master port.
+        """
+        # check for user-specified master port
+        port = os.environ.get("MASTER_PORT")
+        if not port:
+            jobid = os.environ.get("LSB_JOBID")
+            if not jobid:
+                raise ValueError("Could not find job id in environment variable LSB_JOBID")
+            port = int(jobid)
+            # all ports should be in the 10k+ range
+            port = int(port) % 1000 + 10000
+            log.debug(f"calculated LSF master port: {port}")
+        else:
+            log.debug(f"using externally specified master port: {port}")
+        return int(port)

pytorch_lightning/trainer/connectors/accelerator_connector.py

@@ -54,6 +54,7 @@
     ClusterEnvironment,
     KubeflowEnvironment,
     LightningEnvironment,
+    LSFEnvironment,
     SLURMEnvironment,
     TorchElasticEnvironment,
 )
@@ -554,6 +555,8 @@ def select_cluster_environment(self) -> ClusterEnvironment:
             env = TorchElasticEnvironment()
         elif KubeflowEnvironment.is_using_kubeflow():
             env = KubeflowEnvironment()
+        elif LSFEnvironment.is_using_lsf():
+            env = LSFEnvironment()
         else:
             env = LightningEnvironment()
         return env

tests/plugins/environments/test_kubeflow_environment.py

@@ -1,3 +1,16 @@
+# Copyright The PyTorch Lightning team.
+#
+# 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
+#
+#     http://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.
 import logging
 import os
 from unittest import mock

tests/plugins/environments/test_lightning_environment.py

@@ -1,3 +1,16 @@
+# Copyright The PyTorch Lightning team.
+#
+# 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
+#
+#     http://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.
 import os
 from unittest import mock
 

tests/plugins/environments/test_lsf_environment.py

@@ -0,0 +1,89 @@
+# Copyright The PyTorch Lightning team.
+#
+# 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
+#
+#     http://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.
+import os
+from unittest import mock
+
+import pytest
+
+from pytorch_lightning.plugins.environments import LSFEnvironment
+
+
+@mock.patch.dict(os.environ, {
+    "LSB_HOSTS": "batch 10.10.10.0 10.10.10.1",
+    "LSB_JOBID": "1234",
+})
+def test_missing_lsb_hosts():
+    """ Test an error when the lsb hosts list cannot be found. """
+    del os.environ["LSB_HOSTS"]
+    with pytest.raises(ValueError, match="Could not find hosts in environment variable LSB_HOSTS"):
+        LSFEnvironment()
+
+
+@mock.patch.dict(os.environ, {
+    "LSB_HOSTS": "batch 10.10.10.0 10.10.10.1",
+    "LSB_JOBID": "1234",
+})
+def test_missing_lsb_job_id():
+    """ Test an error when the job id cannot be found. """
+    del os.environ["LSB_JOBID"]
+    with pytest.raises(ValueError, match="Could not find job id in environment variable LSB_JOBID"):
+        LSFEnvironment()
+
+
+@mock.patch.dict(
+    os.environ, {
+        "MASTER_PORT": "4321",
+        "LSB_JOBID": "1234",
+        "LSB_HOSTS": "batch 10.10.10.0 10.10.10.1",
+    }
+)
+def test_manual_master_port_and_address():
+    """ Test a user can set the port manually through the MASTER_PORT env variable. """
+    env = LSFEnvironment()
+    assert env.master_port() == 4321
+
+
+@mock.patch.dict(
+    os.environ, {
+        "LSB_HOSTS": "batch 10.10.10.0 10.10.10.1 10.10.10.2 10.10.10.3",
+        "LSB_JOBID": "1234",
+        "JSM_NAMESPACE_SIZE": "4",
+        "JSM_NAMESPACE_RANK": "3",
+        "JSM_NAMESPACE_LOCAL_RANK": "1"
+    }
+)
+def test_attributes_from_environment_variables():
+    """ Test that the LSF environment takes the attributes from the environment variables. """
+    env = LSFEnvironment()
+    assert env.creates_children()
+    assert env.master_address() == "10.10.10.0"
+    assert env.master_port() == 10234
+    assert env.world_size() == 4
+    assert env.global_rank() == 3
+    assert env.local_rank() == 1
+    env.set_global_rank(100)
+    assert env.global_rank() == 3
+    env.set_world_size(100)
+    assert env.world_size() == 4
+    assert LSFEnvironment.is_using_lsf()
+
+
+@mock.patch("socket.gethostname", return_value="host2")
+@mock.patch.dict(os.environ, {
+    "LSB_HOSTS": "batch host0 host1 host2 host3",
+    "LSB_JOBID": "1234",
+})
+def test_node_rank(_):
+    env = LSFEnvironment()
+    assert env.node_rank() == 2

tests/plugins/environments/test_slurm_environment.py

@@ -1,3 +1,16 @@
+# Copyright The PyTorch Lightning team.
+#
+# 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
+#
+#     http://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.
 import logging
 import os
 from unittest import mock

tests/plugins/environments/test_torchelastic_environment.py

@@ -1,3 +1,16 @@
+# Copyright The PyTorch Lightning team.
+#
+# 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
+#
+#     http://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.
 import logging
 import os
 from unittest import mock