[JAX] Test_multiprocessing_encoder with process spawn in bash

examples/jax/encoder/common.py

@@ -12,3 +12,10 @@ def is_bf16_supported():
     """Return if BF16 has hardware supported"""
     gpu_arch = get_device_compute_capability(0)
     return gpu_arch >= 80
+
+
+@lru_cache
+def is_fp8_supported():
+    """Return if FP8 has hardware supported"""
+    gpu_arch = get_device_compute_capability(0)
+    return gpu_arch >= 90

examples/jax/encoder/conftest.py

@@ -0,0 +1,20 @@
+# Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# See LICENSE for license information.
+
+"""config for test_multiprocessing_encoder"""
+import pytest
+
+
+def pytest_addoption(parser):
+    """Pytest hook for test_multiprocessing_encoder"""
+    parser.addoption("--num-process", action="store", default=0)
+    parser.addoption("--process-id", action="store", default=0)
+
+
+@pytest.fixture(autouse=True)
+def multiprocessing_parses(request):
+    """Fixture for querying num-process and process-id"""
+    if request.cls:
+        request.cls.num_process = int(request.config.getoption("--num-process"))
+        request.cls.process_id = int(request.config.getoption("--process-id"))

examples/jax/encoder/run_test_multiprocessing_encoder.sh

@@ -0,0 +1,17 @@
+# Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+#
+# See LICENSE for license information.
+
+NUM_GPUS=${NUM_GPUS:-$(nvidia-smi -L | wc -l)}
+
+for i in $(seq 0 $(($NUM_GPUS-1)))
+do
+  pytest -c $TE_PATH/tests/jax/pytest.ini -v $TE_PATH/examples/jax/encoder/test_multiprocessing_encoder.py::TestEncoder::test_te_bf16 --num-process=$NUM_GPUS --process-id=$i &
+done
+wait
+
+for i in $(seq 0 $(($NUM_GPUS-1)))
+do
+  pytest -c $TE_PATH/tests/jax/pytest.ini -v $TE_PATH/examples/jax/encoder/test_multiprocessing_encoder.py::TestEncoder::test_te_fp8 --num-process=$NUM_GPUS --process-id=$i &
+done
+wait

examples/jax/encoder/test_multiprocessing_encoder.py

@@ -3,10 +3,10 @@
 # See LICENSE for license information.
 """Encoder training with multi-GPU, multiprocessing, and tensor parallelism"""
 import argparse
-import multiprocessing as mp
 import os
 import unittest
 from functools import partial
+import pytest
 
 import flax
 import jax
@@ -21,10 +21,10 @@
 from jax.experimental import mesh_utils
 from jax.sharding import PartitionSpec, NamedSharding
 
+from common import is_bf16_supported, is_fp8_supported
 import transformer_engine.jax as te
 import transformer_engine.jax.flax as te_flax
 
-from common import is_bf16_supported
 
 os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
 DEVICE_DP_AXIS = "data"
@@ -252,7 +252,6 @@ def eval_model(
 
 def data_preprocess(dataset, vocab, word_id, max_seq_len):
     """Convert tokens to numbers."""
-    nltk.download("punkt_tab")
     dataset_size = len(dataset["sentence"])
     output = np.zeros((dataset_size, max_seq_len), dtype=np.int32)
     mask_3d = np.ones((dataset_size, max_seq_len, max_seq_len), dtype=np.uint8)
@@ -342,6 +341,9 @@ def replace_params(x):
 def train_and_evaluate(args):
     """Execute model training and evaluation loop."""
     print(args)
+    if args.process_id == 0:
+        nltk.download("punkt_tab")
+
     train_ds, test_ds, num_embed = get_datasets(args.max_seq_len)
 
     jax.distributed.initialize(
@@ -551,69 +553,41 @@ def encoder_parser(args):
     return parser.parse_args(args)
 
 
-def query_gpu(q):
-    """Query GPU info on the system"""
-    gpu_has_fp8, reason = te.fp8.is_fp8_available()
-    gpu_has_bf16 = is_bf16_supported()
-    num_gpu = len(jax.devices())
-    q.put([num_gpu, gpu_has_fp8, gpu_has_bf16, reason])
-
-
-def unittest_query_gpu():
-    r"""
-    It is only used by TestEncoder.
-    The `jax.distributed.initialize` must be called before any other JAX or Flax API,
-    otherwise `jax.local_devices` will be incorrect.
-    Thus, fork another process to query number of GPUs and FP8 capability.
-    """
-    q = mp.Queue()
-    p = mp.Process(target=query_gpu, args=(q,))
-    p.start()
-    num_gpu, gpu_has_fp8, gpu_has_bf16, reason = q.get()
-    p.join()
-    return num_gpu, gpu_has_fp8, gpu_has_bf16, reason
-
-
+@pytest.mark.usefixtures("multiprocessing_parses")
 class TestEncoder(unittest.TestCase):
     """Encoder unittests"""
 
-    num_gpu, gpu_has_fp8, gpu_has_bf16, reason = unittest_query_gpu()
+    gpu_has_fp8 = is_fp8_supported()
+    gpu_has_bf16 = is_bf16_supported()
 
     def exec(self, use_fp8):
         """Run 3 epochs for testing"""
-        num_gpu = self.num_gpu
+        args = encoder_parser([])
+
+        num_gpu = self.num_process
         tp_size = 2 if num_gpu > 1 and num_gpu % 2 == 0 else 1
         dp_size = num_gpu // tp_size
         batch_size = 64 // dp_size
 
-        arg_list = []
-        for i in range(num_gpu):
-            args = encoder_parser([])
-            args.num_process = num_gpu
-            args.use_fp8 = use_fp8
-            args.batch_size = batch_size
-            args.test_batch_size = batch_size
-            args.process_id = i
-            arg_list.append(args)
-
-        with mp.Pool(self.num_gpu) as p:
-            results = p.map(train_and_evaluate, arg_list)
+        args.use_fp8 = use_fp8
+        args.batch_size = batch_size
+        args.test_batch_size = batch_size
+        args.num_process = num_gpu
+        args.process_id = self.process_id
 
-        return results
+        return train_and_evaluate(args)
 
     @unittest.skipIf(not gpu_has_bf16, "Device compute capability 8.0+ is required for BF16")
     def test_te_bf16(self):
         """Test Transformer Engine with BF16"""
-        results = self.exec(False)
-        actual = results[0]
-        assert actual[0] < 0.45 and actual[1] > 0.79
+        result = self.exec(False)
+        assert result[0] < 0.45 and result[1] > 0.79
 
-    @unittest.skipIf(not gpu_has_fp8, reason)
+    @unittest.skipIf(not gpu_has_fp8, "Device compute capability 9.0+ is required for FP8")
     def test_te_fp8(self):
         """Test Transformer Engine with FP8"""
-        results = self.exec(True)
-        actual = results[0]
-        assert actual[0] < 0.45 and actual[1] > 0.79
+        result = self.exec(True)
+        assert result[0] < 0.45 and result[1] > 0.79
 
 
 if __name__ == "__main__":

qa/L0_jax_distributed_unittest/test.sh

@@ -12,4 +12,4 @@ pip install -r $TE_PATH/examples/jax/encoder/requirements.txt
 export XLA_FLAGS="${XLA_FLAGS} --xla_gpu_deterministic_ops"
 pytest -c $TE_PATH/tests/jax/pytest.ini -v $TE_PATH/examples/jax/encoder/test_multigpu_encoder.py
 pytest -c $TE_PATH/tests/jax/pytest.ini -v $TE_PATH/examples/jax/encoder/test_model_parallel_encoder.py
-pytest -c $TE_PATH/tests/jax/pytest.ini -v $TE_PATH/examples/jax/encoder/test_multiprocessing_encoder.py
+. $TE_PATH/examples/jax/encoder/run_test_multiprocessing_encoder.sh