rocm_jax/tests/logging_test.py
jax authors 599c13aa09 Introduce hermetic CUDA in Google ML projects.
1) Hermetic CUDA rules allow building wheels with GPU support on a machine without GPUs, as well as running Bazel GPU tests on a machine with only GPUs and NVIDIA driver installed. When `--config=cuda` is provided in Bazel options, Bazel will download CUDA, CUDNN and NCCL redistributions in the cache, and use them during build and test phases.

    [Default location of CUNN redistributions](https://developer.download.nvidia.com/compute/cudnn/redist/)

    [Default location of CUDA redistributions](https://developer.download.nvidia.com/compute/cuda/redist/)

    [Default location of NCCL redistributions](https://pypi.org/project/nvidia-nccl-cu12/#history)

2) To include hermetic CUDA rules in your project, add the following in the WORKSPACE of the downstream project dependent on XLA.

   Note: use `@local_tsl` instead of `@tsl` in Tensorflow project.

   ```
   load(
      "@tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
      "cuda_json_init_repository",
   )

   cuda_json_init_repository()

   load(
      "@cuda_redist_json//:distributions.bzl",
      "CUDA_REDISTRIBUTIONS",
      "CUDNN_REDISTRIBUTIONS",
   )
   load(
      "@tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
      "cuda_redist_init_repositories",
      "cudnn_redist_init_repository",
   )

   cuda_redist_init_repositories(
      cuda_redistributions = CUDA_REDISTRIBUTIONS,
   )

   cudnn_redist_init_repository(
      cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
   )

   load(
      "@tsl//third_party/gpus/cuda/hermetic:cuda_configure.bzl",
      "cuda_configure",
   )

   cuda_configure(name = "local_config_cuda")

   load(
      "@tsl//third_party/nccl/hermetic:nccl_redist_init_repository.bzl",
      "nccl_redist_init_repository",
   )

   nccl_redist_init_repository()

   load(
      "@tsl//third_party/nccl/hermetic:nccl_configure.bzl",
      "nccl_configure",
   )

   nccl_configure(name = "local_config_nccl")
   ```

PiperOrigin-RevId: 662981325
2024-08-14 10:58:43 -07:00

157 lines
5.1 KiB
Python

# Copyright 2023 The JAX Authors.
#
# 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
#
# https://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 contextlib
import io
import logging
import os
import platform
import subprocess
import sys
import tempfile
import textwrap
import unittest
import jax
import jax._src.test_util as jtu
from jax._src import xla_bridge
# Note: importing absltest causes an extra absl root log handler to be
# registered, which causes extra debug log messages. We don't expect users to
# import absl logging, so it should only affect this test. We need to use
# absltest.main and config.parse_flags_with_absl() in order for jax_test flag
# parsing to work correctly with bazel (otherwise we could avoid importing
# absltest/absl logging altogether).
from absl.testing import absltest
jax.config.parse_flags_with_absl()
@contextlib.contextmanager
def jax_debug_log_modules(value):
# jax_debug_log_modules doesn't have a context manager, because it's
# not thread-safe. But since tests are always single-threaded, we
# can define one here.
original_value = jax.config.jax_debug_log_modules
jax.config.update("jax_debug_log_modules", value)
try:
yield
finally:
jax.config.update("jax_debug_log_modules", original_value)
@contextlib.contextmanager
def capture_jax_logs():
log_output = io.StringIO()
handler = logging.StreamHandler(log_output)
logger = logging.getLogger("jax")
logger.addHandler(handler)
try:
yield log_output
finally:
logger.removeHandler(handler)
class LoggingTest(jtu.JaxTestCase):
@unittest.skipIf(platform.system() == "Windows",
"Subprocess test doesn't work on Windows")
def test_no_log_spam(self):
if jtu.is_cloud_tpu() and xla_bridge._backends:
raise self.skipTest(
"test requires fresh process on Cloud TPU because only one process "
"can use the TPU at a time")
if sys.executable is None:
raise self.skipTest("test requires access to python binary")
# Save script in file to fix the problem with
# `tsl::Env::Default()->GetExecutablePath()` not working properly with
# command flag.
with tempfile.NamedTemporaryFile(
mode="w+", encoding="utf-8", suffix=".py"
) as f:
f.write(textwrap.dedent("""
import jax
jax.device_count()
f = jax.jit(lambda x: x + 1)
f(1)
f(2)
jax.numpy.add(1, 1)
"""))
python = sys.executable
assert "python" in python
env_variables = {"TF_CPP_MIN_LOG_LEVEL": "1"}
if os.getenv("PYTHONPATH"):
env_variables["PYTHONPATH"] = os.getenv("PYTHONPATH")
if os.getenv("LD_LIBRARY_PATH"):
env_variables["LD_LIBRARY_PATH"] = os.getenv("LD_LIBRARY_PATH")
# Make sure C++ logging is at default level for the test process.
proc = subprocess.run(
[python, f.name],
capture_output=True,
env=env_variables,
)
lines = proc.stdout.split(b"\n")
lines.extend(proc.stderr.split(b"\n"))
allowlist = [
b"",
(
b"An NVIDIA GPU may be present on this machine, but a"
b" CUDA-enabled jaxlib is not installed. Falling back to cpu."
),
]
lines = [l for l in lines if l not in allowlist]
self.assertEmpty(lines)
def test_debug_logging(self):
# Warmup so we don't get "No GPU/TPU" warning later.
jax.jit(lambda x: x + 1)(1)
# Nothing logged by default (except warning messages, which we don't expect
# here).
with capture_jax_logs() as log_output:
jax.jit(lambda x: x + 1)(1)
self.assertEmpty(log_output.getvalue())
# Turn on all debug logging.
with jax_debug_log_modules("jax"):
with capture_jax_logs() as log_output:
jax.jit(lambda x: x + 1)(1)
self.assertIn("Finished tracing + transforming", log_output.getvalue())
self.assertIn("Compiling <lambda>", log_output.getvalue())
# Turn off all debug logging.
with jax_debug_log_modules(""):
with capture_jax_logs() as log_output:
jax.jit(lambda x: x + 1)(1)
self.assertEmpty(log_output.getvalue())
# Turn on one module.
with jax_debug_log_modules("jax._src.dispatch"):
with capture_jax_logs() as log_output:
jax.jit(lambda x: x + 1)(1)
self.assertIn("Finished tracing + transforming", log_output.getvalue())
self.assertNotIn("Compiling <lambda>", log_output.getvalue())
# Turn everything off again.
with jax_debug_log_modules(""):
with capture_jax_logs() as log_output:
jax.jit(lambda x: x + 1)(1)
self.assertEmpty(log_output.getvalue())
if __name__ == "__main__":
absltest.main(testLoader=jtu.JaxTestLoader())