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Also, do not upgrade packages and disable editable mode when installing JAX at head PiperOrigin-RevId: 732208266
87 lines
3.3 KiB
Bash
Executable File
87 lines
3.3 KiB
Bash
Executable File
#!/bin/bash
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# Copyright 2024 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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# Runs Pyest CUDA tests. Requires the jaxlib, jax-cuda-plugin, and jax-cuda-pjrt
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# wheels to be present inside $JAXCI_OUTPUT_DIR (../dist)
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#
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# -e: abort script if one command fails
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# -u: error if undefined variable used
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# -x: log all commands
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# -o history: record shell history
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# -o allexport: export all functions and variables to be available to subscripts
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set -exu -o history -o allexport
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# Source default JAXCI environment variables.
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source ci/envs/default.env
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# Install jaxlib, jax-cuda-plugin, and jax-cuda-pjrt wheels inside the
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# $JAXCI_OUTPUT_DIR directory on the system.
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echo "Installing wheels locally..."
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source ./ci/utilities/install_wheels_locally.sh
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# Set up the build environment.
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source "ci/utilities/setup_build_environment.sh"
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# Print all the installed packages
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echo "Installed packages:"
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"$JAXCI_PYTHON" -m uv pip list
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"$JAXCI_PYTHON" -c "import jax; print(jax.default_backend()); print(jax.devices()); print(len(jax.devices()))"
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nvidia-smi
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# Set up all test environment variables
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export PY_COLORS=1
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export JAX_SKIP_SLOW_TESTS=true
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export NCCL_DEBUG=WARN
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export TF_CPP_MIN_LOG_LEVEL=0
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export JAX_ENABLE_64="$JAXCI_ENABLE_X64"
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# Set the number of processes to min(num_cpu_cores, gpu_count * $max_tests_per_gpu, total_ram_gb / 6)
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# We calculate max_tests_per_gpu as memory_per_gpu_gb / 2gb
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# Calculate gpu_count * max_tests_per_gpu
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export gpu_count=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l)
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export memory_per_gpu_gb=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits --id=0)
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export memory_per_gpu_gb=$((memory_per_gpu_gb / 1024))
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# Allow 2 GB of GPU RAM per test
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export max_tests_per_gpu=$((memory_per_gpu_gb / 2))
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export num_processes=$((gpu_count * max_tests_per_gpu))
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# Calculate num_cpu_cores
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export num_cpu_cores=$(nproc)
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# Calculate total_ram_gb / 6
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export total_ram_gb=$(awk '/MemTotal/ {printf "%.0f", $2/1048576}' /proc/meminfo)
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export host_memory_limit=$((total_ram_gb / 6))
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if [[ $num_cpu_cores -lt $num_processes ]]; then
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num_processes=$num_cpu_cores
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fi
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if [[ $host_memory_limit -lt $num_processes ]]; then
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num_processes=$host_memory_limit
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fi
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export XLA_PYTHON_CLIENT_ALLOCATOR=platform
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export XLA_FLAGS=--xla_gpu_force_compilation_parallelism=1
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# End of test environment variable setup
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echo "Running CUDA tests..."
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"$JAXCI_PYTHON" -m pytest -n $num_processes --tb=short --maxfail=20 \
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tests examples \
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--deselect=tests/multi_device_test.py::MultiDeviceTest::test_computation_follows_data \
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--deselect=tests/multiprocess_gpu_test.py::MultiProcessGpuTest::test_distributed_jax_visible_devices \
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--deselect=tests/compilation_cache_test.py::CompilationCacheTest::test_task_using_cache_metric
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