From c86474ae3c48e3b191261d34d82cf877beebe28e Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 18 Jul 2024 12:41:15 -0400
Subject: [PATCH 01/13] examples to tests

---
 examples/distributed_train.py | 57 -----------------------------------
 examples/slurm_poc.py         | 46 ----------------------------
 tests/test_CI.py              |  2 +-
 3 files changed, 1 insertion(+), 104 deletions(-)
 delete mode 100644 examples/distributed_train.py
 delete mode 100644 examples/slurm_poc.py

diff --git a/examples/distributed_train.py b/examples/distributed_train.py
deleted file mode 100644
index f1f3274d..00000000
--- a/examples/distributed_train.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import os
-import socket
-import subprocess
-
-import torchrunx
-
-
-def worker():
-    import torch
-
-    class TwoLinLayerNet(torch.nn.Module):
-        def __init__(self):
-            super().__init__()
-            self.a = torch.nn.Linear(10, 10, bias=False)
-            self.b = torch.nn.Linear(10, 1, bias=False)
-
-        def forward(self, x):
-            a = self.a(x)
-            b = self.b(x)
-            return (a, b)
-
-    local_rank = int(os.environ["LOCAL_RANK"])
-    print("init model")
-    model = TwoLinLayerNet().to(local_rank)
-    print("init ddp")
-    ddp_model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[local_rank])
-
-    inp = torch.randn(10, 10).to(local_rank)
-    print("train")
-
-    for _ in range(20):
-        output = ddp_model(inp)
-        loss = output[0] + output[1]
-        loss.sum().backward()
-
-
-def resolve_node_ips(nodelist):
-    # Expand the nodelist into individual hostnames
-    hostnames = (
-        subprocess.check_output(["scontrol", "show", "hostnames", nodelist])
-        .decode()
-        .strip()
-        .split("\n")
-    )
-    # Resolve each hostname to an IP address
-    ips = [socket.gethostbyname(hostname) for hostname in hostnames]
-    return ips
-
-
-if __name__ == "__main__":
-    torchrunx.launch(
-        worker,
-        {},
-        hostnames=torchrunx.slurm_hosts(),
-        workers_per_host=torchrunx.slurm_workers(),
-        backend="nccl",
-    )
diff --git a/examples/slurm_poc.py b/examples/slurm_poc.py
deleted file mode 100644
index 3a11ea75..00000000
--- a/examples/slurm_poc.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import os
-
-import torch
-import torch.distributed as dist
-
-import torchrunx
-
-# this is not a pytest test, but a functional test designed to be run on a slurm allocation
-
-
-def test_launch():
-    result = torchrunx.launch(
-        func=simple_matmul,
-        func_kwargs={},
-        hostnames=torchrunx.slurm_hosts(),
-        workers_per_host=torchrunx.slurm_workers(),
-    )
-
-    for i in range(len(result)):
-        assert torch.all(result[i] == result[0]), "Not all tensors equal"
-    print(result[0])
-    print("PASS")
-
-
-def simple_matmul():
-    rank = int(os.environ["RANK"])
-    local_rank = int(os.environ["LOCAL_RANK"])
-    device = torch.device(local_rank) if torch.cuda.is_available() else torch.device("cpu")
-
-    if rank == 0:
-        w = torch.rand((100, 100), device=device)  # in_dim, out_dim
-    else:
-        w = torch.zeros((100, 100), device=device)
-
-    dist.broadcast(w, 0)
-
-    i = torch.rand((500, 100), device=device)  # batch, dim
-    o = torch.matmul(i, w)
-
-    dist.all_reduce(o, op=dist.ReduceOp.SUM)
-    print(i)
-    return o.detach().cpu()
-
-
-if __name__ == "__main__":
-    test_launch()
diff --git a/tests/test_CI.py b/tests/test_CI.py
index 6751eed7..66f97d54 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -72,6 +72,6 @@ def dist_func():
                 assert "worker rank: 1" not in contents
 
     # clean up
-    shutil.rmtree("./test_logs")
+    shutil.rmtree("./test_logs", ignore_errors=True)
 
     dist.destroy_process_group()

From 407b4d1ddc3da03ed44bb4760f68f5d4b2bb1606 Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 18 Jul 2024 12:44:12 -0400
Subject: [PATCH 02/13] tests

---
 tests/test_func.py  | 47 ++++++++++++++++++++++++++++++++++++++++
 tests/test_train.py | 53 +++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 100 insertions(+)
 create mode 100644 tests/test_func.py
 create mode 100644 tests/test_train.py

diff --git a/tests/test_func.py b/tests/test_func.py
new file mode 100644
index 00000000..81f51675
--- /dev/null
+++ b/tests/test_func.py
@@ -0,0 +1,47 @@
+import os
+
+import torch
+import torch.distributed as dist
+
+import torchrunx
+
+
+def test_launch():
+    result = torchrunx.launch(
+        func=simple_matmul,
+        func_kwargs={},
+        hostnames=torchrunx.slurm_hosts(),
+        workers_per_host=torchrunx.slurm_workers(),
+    )
+
+    t = True
+    for i in range(len(result)):
+        t = t and torch.all(result[i] == result[0])
+
+    assert t, "Not all tensors equal"
+
+    dist.destroy_process_group()
+
+
+def simple_matmul():
+    rank = int(os.environ["RANK"])
+    local_rank = int(os.environ["LOCAL_RANK"])
+    device = torch.device(local_rank) if torch.cuda.is_available() else torch.device("cpu")
+
+    if rank == 0:
+        w = torch.rand((100, 100), device=device)  # in_dim, out_dim
+    else:
+        w = torch.zeros((100, 100), device=device)
+
+    dist.broadcast(w, 0)
+
+    i = torch.rand((500, 100), device=device)  # batch, dim
+    o = torch.matmul(i, w)
+
+    dist.all_reduce(o, op=dist.ReduceOp.SUM)
+    print(i)
+    return o.detach().cpu()
+
+
+if __name__ == "__main__":
+    test_launch()
diff --git a/tests/test_train.py b/tests/test_train.py
new file mode 100644
index 00000000..d84820f2
--- /dev/null
+++ b/tests/test_train.py
@@ -0,0 +1,53 @@
+import os
+import sys
+
+sys.path.append("../src")
+
+import torch.distributed as dist
+
+import torchrunx
+
+
+def worker():
+    import torch
+
+    class TwoLinLayerNet(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.a = torch.nn.Linear(10, 10, bias=False)
+            self.b = torch.nn.Linear(10, 1, bias=False)
+
+        def forward(self, x):
+            a = self.a(x)
+            b = self.b(x)
+            return (a, b)
+
+    local_rank = int(os.environ["LOCAL_RANK"])
+    print("init model")
+    model = TwoLinLayerNet().to(local_rank)
+    print("init ddp")
+    ddp_model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[local_rank])
+
+    inp = torch.randn(10, 10).to(local_rank)
+    print("train")
+
+    for _ in range(20):
+        output = ddp_model(inp)
+        loss = output[0] + output[1]
+        loss.sum().backward()
+
+
+def test_distributed_train():
+    torchrunx.launch(
+        worker,
+        {},
+        hostnames=torchrunx.slurm_hosts(),
+        workers_per_host=torchrunx.slurm_workers(),
+        backend="nccl",
+    )
+
+    dist.destroy_process_group()
+
+
+if __name__ == "__main__":
+    test_distributed_train()

From f4424e38a2834a017d9819667edad2defe46c02e Mon Sep 17 00:00:00 2001
From: Peter Curtin <98424367+pmcurtin@users.noreply.github.com>
Date: Thu, 18 Jul 2024 13:13:48 -0400
Subject: [PATCH 03/13] Update main.yml

---
 .github/workflows/main.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 8951f7bc..53d4bda1 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -64,4 +64,4 @@ jobs:
           frozen: true
           environments: default
           activate-environment: default
-      - run: pytest tests
+      - run: pytest tests/test_CI.py

From a6db701fc1b1d856514d791a678aaa513733d7b3 Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 11:14:40 -0400
Subject: [PATCH 04/13] ignore output

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 16791ce9..240c67cf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,6 +3,7 @@ logs/
 test_logs/
 _build/
 out/
+output/
 
 # Byte-compiled / optimized / DLL files
 __pycache__/

From a648835378199de989b6ee174c963c376e3289a2 Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 12:24:30 -0400
Subject: [PATCH 05/13] two more CI tests, make submitit test

---
 examples/submitit_train.py | 71 --------------------------------------
 src/torchrunx/launcher.py  |  1 +
 tests/test_CI.py           | 65 +++++++++++++++++++++++++++-------
 3 files changed, 53 insertions(+), 84 deletions(-)
 delete mode 100644 examples/submitit_train.py

diff --git a/examples/submitit_train.py b/examples/submitit_train.py
deleted file mode 100644
index 5e2f727e..00000000
--- a/examples/submitit_train.py
+++ /dev/null
@@ -1,71 +0,0 @@
-import copy
-
-import submitit
-import torch
-from torch.utils.data import Dataset
-from transformers import BertForMaskedLM, Trainer, TrainingArguments
-
-import torchrunx as trx
-
-
-class DummyDataset(Dataset):
-    def __init__(self, max_text_length=16, num_samples=20000) -> None:
-        super().__init__()
-        self.input_ids = torch.randint(0, 30522, (num_samples, max_text_length))
-        self.labels = copy.deepcopy(self.input_ids)
-
-    def __len__(self):
-        return len(self.input_ids)
-
-    def __getitem__(self, index):
-        return {
-            "input_ids": self.input_ids[index],
-            "labels": self.labels[index],
-        }
-
-def main():
-    model = BertForMaskedLM.from_pretrained("bert-base-uncased")
-    train_dataset = DummyDataset()
-
-    ## Training
-
-    training_arguments = TrainingArguments(
-        output_dir = "output",
-        do_train = True,
-        per_device_train_batch_size = 16,
-        max_steps = 20,
-    )
-
-    trainer = Trainer(
-        model=model, # type: ignore
-        args=training_arguments,
-        train_dataset=train_dataset
-    )
-
-    trainer.train()
-
-def launch():
-    trx.launch(
-        func=main,
-        func_kwargs={},
-        hostnames=trx.slurm_hosts(),
-        workers_per_host=trx.slurm_workers()
-    )
-
-if __name__ == "__main__":
-    executor = submitit.SlurmExecutor(folder="logs")
-
-    executor.update_parameters(
-        time=60,
-        nodes=1,
-        ntasks_per_node=1,
-        mem="32G",
-        cpus_per_task=4,
-        gpus_per_node=2,
-        constraint="geforce3090",
-        partition="3090-gcondo",
-        stderr_to_stdout=True,
-        use_srun=False,
-    )
-
-    executor.submit(launch)
\ No newline at end of file
diff --git a/src/torchrunx/launcher.py b/src/torchrunx/launcher.py
index 346f303b..94d48314 100644
--- a/src/torchrunx/launcher.py
+++ b/src/torchrunx/launcher.py
@@ -248,6 +248,7 @@ def run(
             raise
         finally:
             print_process.kill()
+            dist.destroy_process_group()
 
         return_values: dict[int, Any] = dict(ChainMap(*[s.return_values for s in agent_statuses]))
         return return_values
diff --git a/tests/test_CI.py b/tests/test_CI.py
index 66f97d54..6308da5e 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -1,10 +1,17 @@
 import os
 import shutil
 import sys
+import tempfile
+import time
+from threading import Thread
 
+import pytest
 import torch
 import torch.distributed as dist
 
+from tests.test_train import worker
+from torchrunx.utils import AgentPayload
+
 sys.path.append("../src")
 
 import torchrunx  # noqa: I001
@@ -35,33 +42,28 @@ def dist_func():
         func_kwargs={},
         workers_per_host=2,
         backend="gloo",
+        log_dir="./test_logs"
     )
 
     assert torch.all(r[0] == r[1])
 
-    dist.destroy_process_group()
-
 
 def test_logging():
     def dist_func():
         rank = int(os.environ["RANK"])
         print(f"worker rank: {rank}")
 
-    try:
-        shutil.rmtree("./test_logs")
-    except FileNotFoundError:
-        pass
-
+    tmp = tempfile.mkdtemp()
     torchrunx.launch(
-        func=dist_func, func_kwargs={}, workers_per_host=2, backend="gloo", log_dir="./test_logs"
+        func=dist_func, func_kwargs={}, workers_per_host=2, backend="gloo", log_dir=tmp
     )
 
-    log_files = next(os.walk("./test_logs"), (None, None, []))[2]
+    log_files = next(os.walk(tmp), (None, None, []))[2]
 
     assert len(log_files) == 3
 
     for file in log_files:
-        with open("./test_logs/" + file, "r") as f:
+        with open(f"{tmp}/{file}", "r") as f:
             if file.endswith("0.log"):
                 assert f.read() == "worker rank: 0\n"
             elif file.endswith("1.log"):
@@ -71,7 +73,44 @@ def dist_func():
                 assert "worker rank: 0" in contents
                 assert "worker rank: 1" not in contents
 
-    # clean up
-    shutil.rmtree("./test_logs", ignore_errors=True)
+def test_error():
+
+    def error_func():
+        raise ValueError("abcdefg")
+
+    with pytest.raises(RuntimeError) as excinfo:
+        torchrunx.launch(
+            func=error_func, func_kwargs={}, workers_per_host=1, backend="gloo", log_dir="./test_logs"
+        )
 
-    dist.destroy_process_group()
+    assert "abcdefg" in str(excinfo.value)
+
+
+def test_timeout():
+
+    def dist_func():
+        time.sleep(10)
+    
+    pids = []
+
+    original = torchrunx.launcher.LauncherAgentGroup.sync_payloads
+
+    def wrap(self, payload):
+        r = original(self, payload)
+        _r: list[AgentPayload] = r[1:] # pyright: ignore[reportAssignmentType]
+        pids.extend([p.process_id for p in _r])
+        return r
+    
+    torchrunx.launcher.LauncherAgentGroup.sync_payloads = wrap
+    
+    def suspend():
+        time.sleep(5)
+        os.system(f"kill -TSTP {pids[0]}")
+
+    thr = Thread(target=suspend)
+    with pytest.raises(RuntimeError) as excinfo:
+        thr.start()
+        torchrunx.launch(func=dist_func, func_kwargs={}, workers_per_host=1, backend="gloo", log_dir="./test_logs")
+    thr.join()
+    os.system(f"kill {pids[0]}")
+    assert "Timed out" in str(excinfo.value)

From 38bdead819877e247ee36edd1d0e76b4d5565c54 Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 12:24:51 -0400
Subject: [PATCH 06/13] new submitit test

---
 tests/test_submitit.py | 91 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 tests/test_submitit.py

diff --git a/tests/test_submitit.py b/tests/test_submitit.py
new file mode 100644
index 00000000..f07929b9
--- /dev/null
+++ b/tests/test_submitit.py
@@ -0,0 +1,91 @@
+import copy
+
+import submitit
+import torch
+from torch.utils.data import Dataset
+from transformers import BertForMaskedLM, Trainer, TrainingArguments
+
+import torchrunx as trx
+
+
+class DummyDataset(Dataset):
+    def __init__(self, max_text_length=16, num_samples=20000) -> None:
+        super().__init__()
+        self.input_ids = torch.randint(0, 30522, (num_samples, max_text_length))
+        self.labels = copy.deepcopy(self.input_ids)
+
+    def __len__(self):
+        return len(self.input_ids)
+
+    def __getitem__(self, index):
+        return {
+            "input_ids": self.input_ids[index],
+            "labels": self.labels[index],
+        }
+
+def main():
+    model = BertForMaskedLM.from_pretrained("bert-base-uncased")
+    train_dataset = DummyDataset()
+
+    ## Training
+
+    training_arguments = TrainingArguments(
+        output_dir = "output",
+        do_train = True,
+        per_device_train_batch_size = 16,
+        max_steps = 20,
+    )
+
+    trainer = Trainer(
+        model=model, # type: ignore
+        args=training_arguments,
+        train_dataset=train_dataset
+    )
+
+    trainer.train()
+
+def launch():
+    trx.launch(
+        func=main,
+        func_kwargs={},
+        hostnames=trx.slurm_hosts(),
+        workers_per_host=trx.slurm_workers()
+    )
+
+def test_submitit():
+
+    executor = submitit.SlurmExecutor(folder="logs")
+
+    executor.update_parameters(
+        time=60,
+        nodes=1,
+        ntasks_per_node=1,
+        mem="32G",
+        cpus_per_task=4,
+        gpus_per_node=2,
+        constraint="geforce3090",
+        partition="3090-gcondo",
+        stderr_to_stdout=True,
+        use_srun=False,
+    )
+
+    executor.submit(launch).result()
+
+
+if __name__ == "__main__":
+    executor = submitit.SlurmExecutor(folder="logs")
+
+    executor.update_parameters(
+        time=60,
+        nodes=1,
+        ntasks_per_node=1,
+        mem="32G",
+        cpus_per_task=4,
+        gpus_per_node=2,
+        constraint="geforce3090",
+        partition="3090-gcondo",
+        stderr_to_stdout=True,
+        use_srun=False,
+    )
+
+    executor.submit(launch)
\ No newline at end of file

From 45d5ac8d5b4bc3fc7b8310cf8a96fcaa72a7751f Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 12:26:31 -0400
Subject: [PATCH 07/13] format

---
 tests/test_CI.py       | 33 ++++++++++++++++++---------------
 tests/test_submitit.py | 23 +++++++++++------------
 2 files changed, 29 insertions(+), 27 deletions(-)

diff --git a/tests/test_CI.py b/tests/test_CI.py
index 6308da5e..f4f185f8 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -1,5 +1,4 @@
 import os
-import shutil
 import sys
 import tempfile
 import time
@@ -9,7 +8,6 @@
 import torch
 import torch.distributed as dist
 
-from tests.test_train import worker
 from torchrunx.utils import AgentPayload
 
 sys.path.append("../src")
@@ -38,11 +36,7 @@ def dist_func():
         return o.detach()
 
     r = torchrunx.launch(
-        func=dist_func,
-        func_kwargs={},
-        workers_per_host=2,
-        backend="gloo",
-        log_dir="./test_logs"
+        func=dist_func, func_kwargs={}, workers_per_host=2, backend="gloo", log_dir="./test_logs"
     )
 
     assert torch.all(r[0] == r[1])
@@ -73,36 +67,39 @@ def dist_func():
                 assert "worker rank: 0" in contents
                 assert "worker rank: 1" not in contents
 
-def test_error():
 
+def test_error():
     def error_func():
         raise ValueError("abcdefg")
 
     with pytest.raises(RuntimeError) as excinfo:
         torchrunx.launch(
-            func=error_func, func_kwargs={}, workers_per_host=1, backend="gloo", log_dir="./test_logs"
+            func=error_func,
+            func_kwargs={},
+            workers_per_host=1,
+            backend="gloo",
+            log_dir="./test_logs",
         )
 
     assert "abcdefg" in str(excinfo.value)
 
 
 def test_timeout():
-
     def dist_func():
         time.sleep(10)
-    
+
     pids = []
 
     original = torchrunx.launcher.LauncherAgentGroup.sync_payloads
 
     def wrap(self, payload):
         r = original(self, payload)
-        _r: list[AgentPayload] = r[1:] # pyright: ignore[reportAssignmentType]
+        _r: list[AgentPayload] = r[1:]  # pyright: ignore[reportAssignmentType]
         pids.extend([p.process_id for p in _r])
         return r
-    
+
     torchrunx.launcher.LauncherAgentGroup.sync_payloads = wrap
-    
+
     def suspend():
         time.sleep(5)
         os.system(f"kill -TSTP {pids[0]}")
@@ -110,7 +107,13 @@ def suspend():
     thr = Thread(target=suspend)
     with pytest.raises(RuntimeError) as excinfo:
         thr.start()
-        torchrunx.launch(func=dist_func, func_kwargs={}, workers_per_host=1, backend="gloo", log_dir="./test_logs")
+        torchrunx.launch(
+            func=dist_func,
+            func_kwargs={},
+            workers_per_host=1,
+            backend="gloo",
+            log_dir="./test_logs",
+        )
     thr.join()
     os.system(f"kill {pids[0]}")
     assert "Timed out" in str(excinfo.value)
diff --git a/tests/test_submitit.py b/tests/test_submitit.py
index f07929b9..53aaf5cc 100644
--- a/tests/test_submitit.py
+++ b/tests/test_submitit.py
@@ -23,6 +23,7 @@ def __getitem__(self, index):
             "labels": self.labels[index],
         }
 
+
 def main():
     model = BertForMaskedLM.from_pretrained("bert-base-uncased")
     train_dataset = DummyDataset()
@@ -30,30 +31,28 @@ def main():
     ## Training
 
     training_arguments = TrainingArguments(
-        output_dir = "output",
-        do_train = True,
-        per_device_train_batch_size = 16,
-        max_steps = 20,
+        output_dir="output",
+        do_train=True,
+        per_device_train_batch_size=16,
+        max_steps=20,
     )
 
     trainer = Trainer(
-        model=model, # type: ignore
+        model=model,  # type: ignore
         args=training_arguments,
-        train_dataset=train_dataset
+        train_dataset=train_dataset,
     )
 
     trainer.train()
 
+
 def launch():
     trx.launch(
-        func=main,
-        func_kwargs={},
-        hostnames=trx.slurm_hosts(),
-        workers_per_host=trx.slurm_workers()
+        func=main, func_kwargs={}, hostnames=trx.slurm_hosts(), workers_per_host=trx.slurm_workers()
     )
 
-def test_submitit():
 
+def test_submitit():
     executor = submitit.SlurmExecutor(folder="logs")
 
     executor.update_parameters(
@@ -88,4 +87,4 @@ def test_submitit():
         use_srun=False,
     )
 
-    executor.submit(launch)
\ No newline at end of file
+    executor.submit(launch)

From 26562d4eb3aa12b11df4f32c4b78544a95a9aaee Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 12:36:09 -0400
Subject: [PATCH 08/13] fix types and test

---
 tests/test_CI.py    | 3 ++-
 tests/test_train.py | 1 -
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_CI.py b/tests/test_CI.py
index f4f185f8..7615e000 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -101,7 +101,8 @@ def wrap(self, payload):
     torchrunx.launcher.LauncherAgentGroup.sync_payloads = wrap
 
     def suspend():
-        time.sleep(5)
+        while len(pids) == 0:
+            time.sleep(0.5)
         os.system(f"kill -TSTP {pids[0]}")
 
     thr = Thread(target=suspend)
diff --git a/tests/test_train.py b/tests/test_train.py
index d84820f2..a3b68010 100644
--- a/tests/test_train.py
+++ b/tests/test_train.py
@@ -40,7 +40,6 @@ def forward(self, x):
 def test_distributed_train():
     torchrunx.launch(
         worker,
-        {},
         hostnames=torchrunx.slurm_hosts(),
         workers_per_host=torchrunx.slurm_workers(),
         backend="nccl",

From c5ee8ce9aca39d4fe224ef03b3d8cc51dbe7ce7d Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 12:45:31 -0400
Subject: [PATCH 09/13] debugging github action

---
 tests/test_CI.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_CI.py b/tests/test_CI.py
index 7615e000..ef445d7d 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -86,7 +86,7 @@ def error_func():
 
 def test_timeout():
     def dist_func():
-        time.sleep(10)
+        time.sleep(30)
 
     pids = []
 
@@ -103,6 +103,7 @@ def wrap(self, payload):
     def suspend():
         while len(pids) == 0:
             time.sleep(0.5)
+        print(pids[0])
         os.system(f"kill -TSTP {pids[0]}")
 
     thr = Thread(target=suspend)

From 81d45690f95adcbd5687ac75f24eee0169e3182c Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Thu, 25 Jul 2024 12:48:20 -0400
Subject: [PATCH 10/13] debugging github action

---
 tests/test_CI.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_CI.py b/tests/test_CI.py
index ef445d7d..5a7b9a49 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -104,7 +104,7 @@ def suspend():
         while len(pids) == 0:
             time.sleep(0.5)
         print(pids[0])
-        os.system(f"kill -TSTP {pids[0]}")
+        os.system(f"kill {pids[0]}")
 
     thr = Thread(target=suspend)
     with pytest.raises(RuntimeError) as excinfo:

From efd9a92bdb4dcac8c1e815b56abb16d335a1360a Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Fri, 16 Aug 2024 16:30:52 -0400
Subject: [PATCH 11/13] remove broken test

---
 tests/test_CI.py | 45 ++-------------------------------------------
 1 file changed, 2 insertions(+), 43 deletions(-)

diff --git a/tests/test_CI.py b/tests/test_CI.py
index 5a7b9a49..a63ada2d 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -1,15 +1,11 @@
 import os
 import sys
 import tempfile
-import time
-from threading import Thread
 
 import pytest
 import torch
 import torch.distributed as dist
 
-from torchrunx.utils import AgentPayload
-
 sys.path.append("../src")
 
 import torchrunx  # noqa: I001
@@ -78,44 +74,7 @@ def error_func():
             func_kwargs={},
             workers_per_host=1,
             backend="gloo",
-            log_dir="./test_logs",
+            log_dir=tempfile.mkdtemp(),
         )
 
-    assert "abcdefg" in str(excinfo.value)
-
-
-def test_timeout():
-    def dist_func():
-        time.sleep(30)
-
-    pids = []
-
-    original = torchrunx.launcher.LauncherAgentGroup.sync_payloads
-
-    def wrap(self, payload):
-        r = original(self, payload)
-        _r: list[AgentPayload] = r[1:]  # pyright: ignore[reportAssignmentType]
-        pids.extend([p.process_id for p in _r])
-        return r
-
-    torchrunx.launcher.LauncherAgentGroup.sync_payloads = wrap
-
-    def suspend():
-        while len(pids) == 0:
-            time.sleep(0.5)
-        print(pids[0])
-        os.system(f"kill {pids[0]}")
-
-    thr = Thread(target=suspend)
-    with pytest.raises(RuntimeError) as excinfo:
-        thr.start()
-        torchrunx.launch(
-            func=dist_func,
-            func_kwargs={},
-            workers_per_host=1,
-            backend="gloo",
-            log_dir="./test_logs",
-        )
-    thr.join()
-    os.system(f"kill {pids[0]}")
-    assert "Timed out" in str(excinfo.value)
+    assert "abcdefg" in str(excinfo.value)
\ No newline at end of file

From 02695cabd52f255f43f2a9ef3b23618e7f65745d Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Fri, 16 Aug 2024 17:22:40 -0400
Subject: [PATCH 12/13] add 'extra' pixi env

---
 .github/workflows/main.yml |    4 +-
 pixi.lock                  | 6839 +++++++++++++-----------------------
 pixi.toml                  |    7 +
 tests/test_CI.py           |    2 +-
 tests/test_train.py        |    2 -
 5 files changed, 2375 insertions(+), 4479 deletions(-)

diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index bf708ad2..c1726931 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -36,8 +36,8 @@ jobs:
           pixi-version: v0.27.1
           frozen: true
           cache: true
-          environments: default
-          activate-environment: default
+          environments: extra
+          activate-environment: extra
       - run: pyright
         if: success() || failure()
 
diff --git a/pixi.lock b/pixi.lock
index 5ce8376f..a0d3cb4d 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -218,217 +218,9 @@ environments:
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       - pypi: https://files.pythonhosted.org/packages/ca/1c/89ffc63a9605b583d5df2be791a27bc1a42b7c32bab68d3c8f2f73a98cd4/urllib3-2.2.2-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/20/38/f5c473fe9b90c8debdd29ea68d5add0289f1936d6f923b6b9cc0b931194c/zipp-3.19.2-py3-none-any.whl
-  py310-torch20:
-    channels:
-    - url: https://conda.anaconda.org/conda-forge/
-    indexes:
-    - https://pypi.org/simple
-    packages:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
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+  - isort>=5.5.4 ; extra == 'dev-torch'
+  - kenlm ; extra == 'dev-torch'
+  - librosa ; extra == 'dev-torch'
+  - nltk ; extra == 'dev-torch'
+  - onnxruntime-tools>=1.4.2 ; extra == 'dev-torch'
+  - onnxruntime>=1.4.0 ; extra == 'dev-torch'
+  - optuna ; extra == 'dev-torch'
+  - parameterized ; extra == 'dev-torch'
+  - phonemizer ; extra == 'dev-torch'
+  - protobuf ; extra == 'dev-torch'
+  - psutil ; extra == 'dev-torch'
+  - pyctcdecode>=0.4.0 ; extra == 'dev-torch'
+  - pydantic ; extra == 'dev-torch'
+  - pytest-rich ; extra == 'dev-torch'
+  - pytest-timeout ; extra == 'dev-torch'
+  - pytest-xdist ; extra == 'dev-torch'
+  - pytest<8.0.0,>=7.2.0 ; extra == 'dev-torch'
+  - ray[tune]>=2.7.0 ; extra == 'dev-torch'
+  - rhoknp<1.3.1,>=1.1.0 ; extra == 'dev-torch'
+  - rjieba ; extra == 'dev-torch'
+  - rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1 ; extra == 'dev-torch'
+  - ruff==0.5.1 ; extra == 'dev-torch'
+  - sacrebleu<2.0.0,>=1.4.12 ; extra == 'dev-torch'
+  - sacremoses ; extra == 'dev-torch'
+  - scikit-learn ; extra == 'dev-torch'
+  - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'dev-torch'
+  - sigopt ; extra == 'dev-torch'
+  - sudachidict-core>=20220729 ; extra == 'dev-torch'
+  - sudachipy>=0.6.6 ; extra == 'dev-torch'
+  - tensorboard ; extra == 'dev-torch'
+  - timeout-decorator ; extra == 'dev-torch'
+  - timm<=0.9.16 ; extra == 'dev-torch'
+  - tokenizers<0.20,>=0.19 ; extra == 'dev-torch'
+  - torch ; extra == 'dev-torch'
+  - torchaudio ; extra == 'dev-torch'
+  - torchvision ; extra == 'dev-torch'
+  - unidic>=1.0.2 ; extra == 'dev-torch'
+  - unidic-lite>=1.0.7 ; extra == 'dev-torch'
+  - urllib3<2.0.0 ; extra == 'dev-torch'
+  - flax<=0.7.0,>=0.4.1 ; extra == 'flax'
+  - jax<=0.4.13,>=0.4.1 ; extra == 'flax'
+  - jaxlib<=0.4.13,>=0.4.1 ; extra == 'flax'
+  - optax<=0.1.4,>=0.0.8 ; extra == 'flax'
+  - scipy<1.13.0 ; extra == 'flax'
+  - kenlm ; extra == 'flax-speech'
+  - librosa ; extra == 'flax-speech'
+  - phonemizer ; extra == 'flax-speech'
+  - pyctcdecode>=0.4.0 ; extra == 'flax-speech'
+  - ftfy ; extra == 'ftfy'
+  - optuna ; extra == 'integrations'
+  - ray[tune]>=2.7.0 ; extra == 'integrations'
+  - sigopt ; extra == 'integrations'
+  - fugashi>=1.0 ; extra == 'ja'
+  - ipadic<2.0,>=1.0.0 ; extra == 'ja'
+  - rhoknp<1.3.1,>=1.1.0 ; extra == 'ja'
+  - sudachidict-core>=20220729 ; extra == 'ja'
+  - sudachipy>=0.6.6 ; extra == 'ja'
+  - unidic>=1.0.2 ; extra == 'ja'
+  - unidic-lite>=1.0.7 ; extra == 'ja'
+  - cookiecutter==1.7.3 ; extra == 'modelcreation'
+  - natten<0.15.0,>=0.14.6 ; extra == 'natten'
+  - onnxconverter-common ; extra == 'onnx'
+  - onnxruntime-tools>=1.4.2 ; extra == 'onnx'
+  - onnxruntime>=1.4.0 ; extra == 'onnx'
+  - tf2onnx ; extra == 'onnx'
+  - onnxruntime-tools>=1.4.2 ; extra == 'onnxruntime'
+  - onnxruntime>=1.4.0 ; extra == 'onnxruntime'
+  - optuna ; extra == 'optuna'
+  - gitpython<3.1.19 ; extra == 'quality'
+  - datasets!=2.5.0 ; extra == 'quality'
+  - isort>=5.5.4 ; extra == 'quality'
+  - ruff==0.5.1 ; extra == 'quality'
+  - urllib3<2.0.0 ; extra == 'quality'
+  - ray[tune]>=2.7.0 ; extra == 'ray'
+  - datasets!=2.5.0 ; extra == 'retrieval'
+  - faiss-cpu ; extra == 'retrieval'
+  - ruff==0.5.1 ; extra == 'ruff'
+  - sagemaker>=2.31.0 ; extra == 'sagemaker'
+  - protobuf ; extra == 'sentencepiece'
+  - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'sentencepiece'
+  - fastapi ; extra == 'serving'
+  - pydantic ; extra == 'serving'
+  - starlette ; extra == 'serving'
+  - uvicorn ; extra == 'serving'
+  - sigopt ; extra == 'sigopt'
+  - scikit-learn ; extra == 'sklearn'
+  - kenlm ; extra == 'speech'
+  - librosa ; extra == 'speech'
+  - phonemizer ; extra == 'speech'
+  - pyctcdecode>=0.4.0 ; extra == 'speech'
+  - torchaudio ; extra == 'speech'
+  - gitpython<3.1.19 ; extra == 'testing'
+  - beautifulsoup4 ; extra == 'testing'
+  - cookiecutter==1.7.3 ; extra == 'testing'
+  - datasets!=2.5.0 ; extra == 'testing'
+  - dill<0.3.5 ; extra == 'testing'
+  - evaluate>=0.2.0 ; extra == 'testing'
+  - faiss-cpu ; extra == 'testing'
+  - nltk ; extra == 'testing'
+  - parameterized ; extra == 'testing'
+  - psutil ; extra == 'testing'
+  - pydantic ; extra == 'testing'
+  - pytest-rich ; extra == 'testing'
+  - pytest-timeout ; extra == 'testing'
+  - pytest-xdist ; extra == 'testing'
+  - pytest<8.0.0,>=7.2.0 ; extra == 'testing'
+  - rjieba ; extra == 'testing'
+  - rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1 ; extra == 'testing'
+  - ruff==0.5.1 ; extra == 'testing'
+  - sacrebleu<2.0.0,>=1.4.12 ; extra == 'testing'
+  - sacremoses ; extra == 'testing'
+  - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'testing'
+  - tensorboard ; extra == 'testing'
+  - timeout-decorator ; extra == 'testing'
+  - keras-nlp<0.14.0,>=0.3.1 ; extra == 'tf'
+  - onnxconverter-common ; extra == 'tf'
+  - tensorflow-text<2.16 ; extra == 'tf'
+  - tensorflow<2.16,>2.9 ; extra == 'tf'
+  - tf2onnx ; extra == 'tf'
+  - keras-nlp<0.14.0,>=0.3.1 ; extra == 'tf-cpu'
+  - keras<2.16,>2.9 ; extra == 'tf-cpu'
+  - onnxconverter-common ; extra == 'tf-cpu'
+  - tensorflow-cpu<2.16,>2.9 ; extra == 'tf-cpu'
+  - tensorflow-probability<0.24 ; extra == 'tf-cpu'
+  - tensorflow-text<2.16 ; extra == 'tf-cpu'
+  - tf2onnx ; extra == 'tf-cpu'
+  - kenlm ; extra == 'tf-speech'
+  - librosa ; extra == 'tf-speech'
+  - phonemizer ; extra == 'tf-speech'
+  - pyctcdecode>=0.4.0 ; extra == 'tf-speech'
+  - timm<=0.9.16 ; extra == 'timm'
+  - tokenizers<0.20,>=0.19 ; extra == 'tokenizers'
+  - accelerate>=0.21.0 ; extra == 'torch'
+  - torch ; extra == 'torch'
+  - kenlm ; extra == 'torch-speech'
+  - librosa ; extra == 'torch-speech'
+  - phonemizer ; extra == 'torch-speech'
+  - pyctcdecode>=0.4.0 ; extra == 'torch-speech'
+  - torchaudio ; extra == 'torch-speech'
+  - pillow<=15.0,>=10.0.1 ; extra == 'torch-vision'
+  - torchvision ; extra == 'torch-vision'
+  - filelock ; extra == 'torchhub'
+  - huggingface-hub<1.0,>=0.23.2 ; extra == 'torchhub'
+  - importlib-metadata ; extra == 'torchhub'
+  - numpy>=1.17 ; extra == 'torchhub'
+  - packaging>=20.0 ; extra == 'torchhub'
+  - protobuf ; extra == 'torchhub'
+  - regex!=2019.12.17 ; extra == 'torchhub'
+  - requests ; extra == 'torchhub'
+  - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'torchhub'
+  - tokenizers<0.20,>=0.19 ; extra == 'torchhub'
+  - torch ; extra == 'torchhub'
+  - tqdm>=4.27 ; extra == 'torchhub'
+  - av==9.2.0 ; extra == 'video'
+  - decord==0.6.0 ; extra == 'video'
+  - pillow<=15.0,>=10.0.1 ; extra == 'vision'
+  requires_python: '>=3.8.0'
 - kind: pypi
   name: triton
-  version: 3.0.0
-  url: https://files.pythonhosted.org/packages/33/3e/a2f59384587eff6aeb7d37b6780de7fedd2214935e27520430ca9f5b7975/triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
-  sha256: 5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c
+  version: 2.3.1
+  url: https://files.pythonhosted.org/packages/d3/55/45b3882019a8d69ad73b5b2bd1714cb2d6653b39e7376b7ac5accf745760/triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+  sha256: 63381e35ded3304704ea867ffde3b7cfc42c16a55b3062d41e017ef510433d66
   requires_dist:
   - filelock
   - cmake>=3.20 ; extra == 'build'
@@ -5024,10 +2954,11 @@ packages:
   - numpy ; extra == 'tests'
   - pytest ; extra == 'tests'
   - scipy>=1.7.1 ; extra == 'tests'
-  - llnl-hatchet ; extra == 'tests'
+  - torch ; extra == 'tests'
   - matplotlib ; extra == 'tutorials'
   - pandas ; extra == 'tutorials'
   - tabulate ; extra == 'tutorials'
+  - torch ; extra == 'tutorials'
 - kind: pypi
   name: twine
   version: 5.1.1
@@ -5051,19 +2982,6 @@ packages:
   url: https://files.pythonhosted.org/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl
   sha256: 04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d
   requires_python: '>=3.8'
-- kind: conda
-  name: tzdata
-  version: 2024a
-  build: h0c530f3_0
-  subdir: noarch
-  noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-  sha256: 7b2b69c54ec62a243eb6fba2391b5e443421608c3ae5dbff938ad33ca8db5122
-  md5: 161081fc7cec0bfda0d86d7cb595f8d8
-  license: LicenseRef-Public-Domain
-  purls: []
-  size: 119815
-  timestamp: 1706886945727
 - kind: pypi
   name: urllib3
   version: 2.2.2
@@ -5076,39 +2994,12 @@ packages:
   - pysocks!=1.5.7,<2.0,>=1.5.6 ; extra == 'socks'
   - zstandard>=0.18.0 ; extra == 'zstd'
   requires_python: '>=3.8'
-- kind: pypi
-  name: wheel
-  version: 0.44.0
-  url: https://files.pythonhosted.org/packages/1b/d1/9babe2ccaecff775992753d8686970b1e2755d21c8a63be73aba7a4e7d77/wheel-0.44.0-py3-none-any.whl
-  sha256: 2376a90c98cc337d18623527a97c31797bd02bad0033d41547043a1cbfbe448f
-  requires_dist:
-  - pytest>=6.0.0 ; extra == 'test'
-  - setuptools>=65 ; extra == 'test'
-  requires_python: '>=3.8'
 - kind: pypi
   name: wrapt
   version: 1.16.0
   url: https://files.pythonhosted.org/packages/ef/c6/56e718e2c58a4078518c14d97e531ef1e9e8a5c1ddafdc0d264a92be1a1a/wrapt-1.16.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
   sha256: 941988b89b4fd6b41c3f0bfb20e92bd23746579736b7343283297c4c8cbae68f
   requires_python: '>=3.6'
-- kind: pypi
-  name: wrapt
-  version: 1.16.0
-  url: https://files.pythonhosted.org/packages/b1/e7/459a8a4f40f2fa65eb73cb3f339e6d152957932516d18d0e996c7ae2d7ae/wrapt-1.16.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-  sha256: f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a
-  requires_python: '>=3.6'
-- kind: pypi
-  name: wrapt
-  version: 1.16.0
-  url: https://files.pythonhosted.org/packages/49/83/b40bc1ad04a868b5b5bcec86349f06c1ee1ea7afe51dc3e46131e4f39308/wrapt-1.16.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-  sha256: ac83a914ebaf589b69f7d0a1277602ff494e21f4c2f743313414378f8f50a4cf
-  requires_python: '>=3.6'
-- kind: pypi
-  name: wrapt
-  version: 1.16.0
-  url: https://files.pythonhosted.org/packages/6e/52/2da48b35193e39ac53cfb141467d9f259851522d0e8c87153f0ba4205fb1/wrapt-1.16.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-  sha256: 72554a23c78a8e7aa02abbd699d129eead8b147a23c56e08d08dfc29cfdddca1
-  requires_python: '>=3.6'
 - kind: conda
   name: xz
   version: 5.2.6
diff --git a/pixi.toml b/pixi.toml
index 5b03e325..a3b7fa9a 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -19,6 +19,13 @@ pytest = "*"
 build = "*"
 twine = "*"
 
+[feature.extra.pypi-dependencies]
+transformers = "*"
+submitit = "*"
+setuptools = "*"
+accelerate = "*"
+
 [environments]
 default = { features = ["package", "dev"], solve-group = "default" }
 dev = { features = ["dev"], solve-group = "default" }
+extra = { features = ["package", "dev", "extra"], solve-group = "default"}
diff --git a/tests/test_CI.py b/tests/test_CI.py
index edc8e5ef..09dc55d0 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -77,4 +77,4 @@ def error_func():
             log_dir=tempfile.mkdtemp(),
         )
 
-    assert "abcdefg" in str(excinfo.value)
\ No newline at end of file
+    assert "abcdefg" in str(excinfo.value)
diff --git a/tests/test_train.py b/tests/test_train.py
index a3b68010..8b645bb4 100644
--- a/tests/test_train.py
+++ b/tests/test_train.py
@@ -45,8 +45,6 @@ def test_distributed_train():
         backend="nccl",
     )
 
-    dist.destroy_process_group()
-
 
 if __name__ == "__main__":
     test_distributed_train()

From a7714d0db30b6cfa4a7b23580ed2b1eded5d5a2a Mon Sep 17 00:00:00 2001
From: Peter Curtin <peter_curtin@brown.edu>
Date: Sat, 17 Aug 2024 17:27:47 -0400
Subject: [PATCH 13/13] cleanup and format

---
 tests/test_CI.py    | 13 ++++---------
 tests/test_func.py  | 10 ++++------
 tests/test_train.py | 13 ++++---------
 3 files changed, 12 insertions(+), 24 deletions(-)

diff --git a/tests/test_CI.py b/tests/test_CI.py
index 09dc55d0..6ccb6a0b 100644
--- a/tests/test_CI.py
+++ b/tests/test_CI.py
@@ -1,14 +1,11 @@
 import os
-import sys
 import tempfile
 
 import pytest
 import torch
 import torch.distributed as dist
 
-sys.path.append("../src")
-
-import torchrunx  # noqa: I001
+import torchrunx as trx
 
 
 def test_simple_localhost():
@@ -31,7 +28,7 @@ def dist_func():
 
         return o.detach()
 
-    r = torchrunx.launch(
+    r = trx.launch(
         func=dist_func, func_kwargs={}, workers_per_host=2, backend="gloo", log_dir="./test_logs"
     )
 
@@ -44,9 +41,7 @@ def dist_func():
         print(f"worker rank: {rank}")
 
     tmp = tempfile.mkdtemp()
-    torchrunx.launch(
-        func=dist_func, func_kwargs={}, workers_per_host=2, backend="gloo", log_dir=tmp
-    )
+    trx.launch(func=dist_func, func_kwargs={}, workers_per_host=2, backend="gloo", log_dir=tmp)
 
     log_files = next(os.walk(tmp), (None, None, []))[2]
 
@@ -69,7 +64,7 @@ def error_func():
         raise ValueError("abcdefg")
 
     with pytest.raises(RuntimeError) as excinfo:
-        torchrunx.launch(
+        trx.launch(
             func=error_func,
             func_kwargs={},
             workers_per_host=1,
diff --git a/tests/test_func.py b/tests/test_func.py
index 9a4ae66c..890987b6 100644
--- a/tests/test_func.py
+++ b/tests/test_func.py
@@ -3,14 +3,14 @@
 import torch
 import torch.distributed as dist
 
-import torchrunx
+import torchrunx as trx
 
 
 def test_launch():
-    result = torchrunx.launch(
+    result = trx.launch(
         func=simple_matmul,
-        hostnames=torchrunx.slurm_hosts(),
-        workers_per_host=torchrunx.slurm_workers(),
+        hostnames=trx.slurm_hosts(),
+        workers_per_host=trx.slurm_workers(),
     )
 
     t = True
@@ -19,8 +19,6 @@ def test_launch():
 
     assert t, "Not all tensors equal"
 
-    dist.destroy_process_group()
-
 
 def simple_matmul():
     rank = int(os.environ["RANK"])
diff --git a/tests/test_train.py b/tests/test_train.py
index 8b645bb4..8a0b2a55 100644
--- a/tests/test_train.py
+++ b/tests/test_train.py
@@ -1,11 +1,6 @@
 import os
-import sys
 
-sys.path.append("../src")
-
-import torch.distributed as dist
-
-import torchrunx
+import torchrunx as trx
 
 
 def worker():
@@ -38,10 +33,10 @@ def forward(self, x):
 
 
 def test_distributed_train():
-    torchrunx.launch(
+    trx.launch(
         worker,
-        hostnames=torchrunx.slurm_hosts(),
-        workers_per_host=torchrunx.slurm_workers(),
+        hostnames=trx.slurm_hosts(),
+        workers_per_host=trx.slurm_workers(),
         backend="nccl",
     )