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.gitlab-ci.yml
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image: nvcr.io/nvidia/pytorch:23.04-py3
stages:
- test
- cleanup
variables: &VARS
SELENE_ADLR_CI_PATH: "/lustre/fsw/adlr/adlr-nlp/adlr_ci/megatron"
DATA_DIR: "/lustre/fsw/adlr/adlr-nlp/adlr_ci/megatron/data"
PYTORCH_IMAGE: nvcr.io/nvidia/pytorch:23.04-py3 # This is the image that is run by all nodes on selene for tests
PYTHON_VIRTUAL_ENV: /lustre/fsw/adlr/adlr-nlp/adlr_ci/cienv/bin/activate
TESTS_TO_RUN_AFTER_MERGE_REQ_APPROVED: L0 # Can specify levels
TESTS_TO_RUN_AFTER_MERGING: L0 # Can specify levels
TESTS_TO_RUN_ON_THIS_COMMIT: unit_tests
TEST_REGEX_ON_THIS_COMMIT: NONE #https://github.com/google/re2/wiki/Syntax (Can define regex as in this spec) e.g /.*gpt3.*/
DISPLAY_OUTPUT: "True" # Set to true for new tests to copy the logs for creating golden truth file
unit_tests:
tags:
- docker_local_runner
stage: test
script:
- pip install pytest-cov
- pip install pytest_mock
- pip install nltk
- torchrun --nproc_per_node=8 -m pytest --cov-report=term --cov-report=html --cov=megatron/core tests/unit_tests
coverage: '/(?i)total.*? (100(?:\.0+)?\%|[1-9]?\d(?:\.\d+)?\%)$/'
artifacts:
paths:
- coverage
expire_in: 30 days
rules:
- when: always
formatting:
tags:
- docker_local_runner
stage: test
script:
- pip install --upgrade black==19.10b0 isort click==8.0.2
- black megatron/core --check --verbose --diff
- isort megatron/core --check
rules:
- when: always
.selene_test_resume_checkpoint_launcher: &selene-test-resume-checkpoint-launcher
tags:
- ssh_selene_runner
stage: test
script: &selene-test-resume-launcher-script
- echo "Running selene resume from checkpoint test. "
- pwd
- export BUILD_DIR=`pwd`
- export RUN_NAME=resume_${RUN_MODEL}_tp${TP_SIZE}_pp${PP_SIZE}_${NUM_NODES}nodes
- echo "In case of error check ${SELENE_ADLR_CI_PATH}/${CI_PIPELINE_ID}/${RUN_NAME}/results directory for result logs."
- export TP_SIZE PP_SIZE NUM_NODES MAX_STEPS PYTORCH_IMAGE
- export DATA_DIR=$DATA_DIR
- echo "Run name is $RUN_NAME"
- mkdir -p $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/checkpoints
- mkdir -p $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/logs
- mkdir -p $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/results
- rm -rf $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/checkpoints/*
- rm -rf $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/logs/*
- rm -rf $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/results/*
- export BASE_DIR=$SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME
- export LOGS_DIR=$BASE_DIR/logs
- export RESULTS_DIR=$BASE_DIR/results
- export CHECKPOINTS_DIR=$BASE_DIR/checkpoints
- export OMP_NUM_THREADS=2
- export GOTO_NUM_THREADS=2
- export OPENBLAS_NUM_THREADS=2
- echo "Submitting job"
- sbatch_submission=`sbatch $BUILD_DIR/tests/functional_tests/test_scripts/$RUN_MODEL/sbatch_${RUN_MODEL}_distributed_resume_checkpoint_test.sh --export=BASE_DIR,BUILD_DIR,DATA_DIR,TP_SIZE,PP_SIZE,NUM_NODES,PYTORCH_IMAGE`
- export SLURM_JOBID=$(echo $sbatch_submission| grep 'Submitted batch job' | awk '{ print $4 }');
- bash $BUILD_DIR/tests/functional_tests/shell_test_utils/jobwait.sh $SLURM_JOBID
- \[ ! -z ${SLURM_JOBID} \] && echo -e " --------------------------------------------------\n"
"----------WAITING FOR SLURM JOB TO BEGIN-----------\n"
"---------------------------------------------------\n"
"$(scontrol show job=${SLURM_JOBID})\n"
"---------------------------------------------------\n"
# Gitlab logs collapsible section markers
- echo -e "\e[0Ksection_end:`date +%s`:slurm_setup\r\e[0K"
# Follow output of the job
- echo "Finished job"
- export SLURM_STATE=$(sacct -j "${SLURM_JOBID}" --format State --parsable2 --noheader |& head -n 1)
- echo "Slurm job state $SLURM_STATE"
- if [[ "$SLURM_STATE" != "COMPLETED" ]]; then echo "Slurm job did not complete. See ${SELENE_ADLR_CI_PATH}/${CI_PIPELINE_ID}/${RUN_NAME}/results directory for result logs. Skipping pytest."; exit 1; fi
- source $PYTHON_VIRTUAL_ENV
- PYTEST_EXIT=0
- pytest $BUILD_DIR/tests/functional_tests/python_test_utils/test_resume_checkpoint_pipeline.py || PYTEST_EXIT=$?
- if [[ $PYTEST_EXIT == 0 ]]; then echo "Pytest succeded"; else echo "Pytest failed. See ${SELENE_ADLR_CI_PATH}/${CI_PIPELINE_ID}/${RUN_NAME}/results directory for result logs"; exit $PYTEST_EXIT; fi
- echo "Completed the job"
rules:
- if: $TEST_LEVEL =~ $TESTS_TO_RUN_ON_THIS_COMMIT || $CI_JOB_NAME =~ $TESTS_TO_RUN_ON_THIS_COMMIT || $CI_JOB_NAME =~ $TEST_REGEX_ON_THIS_COMMIT
when: always
- if: '$CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH && $TEST_LEVEL =~ $TESTS_TO_RUN_AFTER_MERGING'
when: always
- if: $CI_MERGE_REQUEST_APPROVED && $TEST_LEVEL =~ $TESTS_TO_RUN_AFTER_MERGE_REQ_APPROVED
when: always
allow_failure: false
retry: 2
.selene_test_launcher: &selene-test-launcher
tags:
- ssh_selene_runner
stage: test
script: &selene-test-launcher-script
- echo "Running selene test"
- echo "$CI_MERGE_REQUEST_APPROVED"
- pwd
- export BUILD_DIR=`pwd`
- |
if [[ $USE_CORE -eq 1 && $USE_TE -eq 1 ]]; then
echo "Cannot run megatron core and transformer engine together"
exit 1
fi
- RUN_NAME=${RUN_MODEL}_tp${TP_SIZE}_pp${PP_SIZE}_${NUM_NODES}nodes_${MAX_STEPS}steps
- if [[ $USE_TE == 1 ]]; then RUN_NAME=${RUN_NAME}_te_enabled; fi
- if [[ $USE_CORE == 1 ]]; then RUN_NAME=${RUN_NAME}_core_enabled; fi
- if [[ -n $METADATA ]]; then RUN_NAME=${RUN_NAME}_${METADATA}; fi
- export $RUN_NAME
- echo "In case of error check ${SELENE_ADLR_CI_PATH}/${CI_PIPELINE_ID}/${RUN_NAME}/results directory for result logs."
- export USE_TE TP_SIZE PP_SIZE NUM_NODES MAX_STEPS VP_SIZE USE_CORE PYTORCH_IMAGE ADDITIONAL_PARAMS
- export MBS GBS
- export DATA_DIR=$DATA_DIR
- echo "Run name is $RUN_NAME"
- mkdir -p $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/checkpoints
- mkdir -p $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/logs
- mkdir -p $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/results
- rm -rf $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/checkpoints/*
- rm -rf $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/logs/*
- rm -rf $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/results/*
- export BASE_DIR=$SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME
- export LOGS_DIR=$BASE_DIR/logs
- export RESULTS_DIR=$BASE_DIR/results
- export CHECKPOINTS_DIR=$BASE_DIR/checkpoints
- export OMP_NUM_THREADS=2
- export GOTO_NUM_THREADS=2
- export OPENBLAS_NUM_THREADS=2
- echo "Submitting job"
- sbatch_submission=`sbatch $BUILD_DIR/tests/functional_tests/test_scripts/$RUN_MODEL/sbatch_${RUN_MODEL}_distributed_test.sh --export=BASE_DIR,BUILD_DIR,DATA_DIR,USE_TE,TP_SIZE,PP_SIZE,NUM_NODES,MAX_STEPS,VP_SIZE,MBS,GBS,PYTORCH_IMAGE,ADDITIONAL_PARAMS`
- export SLURM_JOBID=$(echo $sbatch_submission| grep 'Submitted batch job' | awk '{ print $4 }');
- bash $BUILD_DIR/tests/functional_tests/shell_test_utils/jobwait.sh $SLURM_JOBID
- \[ ! -z ${SLURM_JOBID} \] && echo -e " --------------------------------------------------\n"
"----------WAITING FOR SLURM JOB TO BEGIN-----------\n"
"---------------------------------------------------\n"
"$(scontrol show job=${SLURM_JOBID})\n"
"---------------------------------------------------\n"
# Gitlab logs collapsible section markers
- echo -e "\e[0Ksection_end:`date +%s`:slurm_setup\r\e[0K"
# Follow output of the job
- echo "Finished job"
- echo "Slurm log dump start ------------------------------------------------------------"
- cat $SELENE_ADLR_CI_PATH/$CI_PIPELINE_ID/$RUN_NAME/results/*
- echo "Slurm log dump end --------------------------------------------------------------"
- python3 $BUILD_DIR/tests/functional_tests/python_test_utils/check_slurm_job_completion.py $SLURM_JOBID
- if [ $? -ne 0 ]; then echo "Slurm job did not complete. See ${SELENE_ADLR_CI_PATH}/${CI_PIPELINE_ID}/${RUN_NAME}/results directory for result logs. Skipping pytest."; exit 1; fi
- source $PYTHON_VIRTUAL_ENV
- |
if [[ "$DISPLAY_OUTPUT" == "True" ]]; then
python3 $BUILD_DIR/tests/functional_tests/python_test_utils/get_test_results_from_tensorboard_logs.py $LOGS_DIR $RUN_NAME
fi
- echo "Checking against ground truth file"
- export EXPECTED_METRICS_FILE=$BUILD_DIR/tests/functional_tests/test_results/$RUN_MODEL/$RUN_NAME.json
- PYTEST_EXIT=0
- pytest $BUILD_DIR/tests/functional_tests/python_test_utils/test_ci_pipeline.py || PYTEST_EXIT=$?
- if [[ $PYTEST_EXIT == 0 ]]; then echo "Pytest succeded"; else echo "Pytest failed. See ${SELENE_ADLR_CI_PATH}/${CI_PIPELINE_ID}/${RUN_NAME}/results directory for result logs"; exit $PYTEST_EXIT; fi
- echo "Completed the job"
rules:
- if: $TEST_LEVEL =~ $TESTS_TO_RUN_ON_THIS_COMMIT || $CI_JOB_NAME =~ $TESTS_TO_RUN_ON_THIS_COMMIT || $CI_JOB_NAME =~ $TEST_REGEX_ON_THIS_COMMIT
when: always
- if: '$CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH && $TEST_LEVEL =~ $TESTS_TO_RUN_AFTER_MERGING'
when: always
- if: $CI_MERGE_REQUEST_APPROVED && $TEST_LEVEL =~ $TESTS_TO_RUN_AFTER_MERGE_REQ_APPROVED
when: always
allow_failure: false
retry: 2
train.te_gpt3.345m_tp2_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 1
TP_SIZE: 2
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
TIME_LIMIT: "50:00"
TEST_LEVEL: L0
PYTORCH_IMAGE: nvcr.io/nvidia/pytorch:23.07-py3
train.gpt3_core.345m_tp4_pp1_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 4
PP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3_core.345m_tp2_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 2
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3_core.345m_tp1_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3_core.345m_tp1_pp4_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3_core.345m_tp1_pp2_1node_50steps_rope:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
METADATA: rope_embeddings
ADDITIONAL_PARAMS: "--position-embedding-type rope"
train.gpt3_core.345m_tp1_pp4_1node_50steps_swiglu:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
METADATA: swiglu
ADDITIONAL_PARAMS: "--swiglu"
train.gpt3_core.345m_tp1_pp4_1node_50steps_disable_bias_linear:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
METADATA: disable_bias_linear
ADDITIONAL_PARAMS: "--disable-bias-linear"
train.gpt3_core.345m_tp1_pp4_1node_50steps_untie_embeddings_and_outputs:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
METADATA: untie_embeddings_and_outputs
ADDITIONAL_PARAMS: "--untie-embeddings-and-output-weights"
train.gpt3_core.345m_tp1_pp4_1node_50steps_sequence_parallel:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 1
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
METADATA: sequence_parallel
ADDITIONAL_PARAMS: "--sequence-parallel"
train.gpt3.345m_tp4_pp1_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 4
PP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 0
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3.345m_tp2_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 2
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 0
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3.345m_tp1_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 0
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.gpt3.345m_tp1_pp4_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
USE_TE: 0
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
USE_CORE: 0
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
resume.checkpoint.gpt3.345m_tp1_pp2_1node:
<<: *selene-test-resume-checkpoint-launcher
variables:
<<: [*VARS]
RUN_MODEL: gpt3
TP_SIZE: 1
PP_SIZE: 2
NUM_NODES: 1
TIME_LIMIT: "30:00"
TEST_LEVEL: L0
train.bert.345m_tp4_pp1_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: bert
TP_SIZE: 4
PP_SIZE: 1
NUM_NODES: 1
MAX_STEPS: 50
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.bert.345m_tp2_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: bert
TP_SIZE: 2
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.bert.345m_tp1_pp2_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: bert
TP_SIZE: 1
PP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
train.bert.345m_tp1_pp4_1node_50steps:
<<: *selene-test-launcher
variables:
<<: [*VARS]
RUN_MODEL: bert
TP_SIZE: 1
PP_SIZE: 4
VP_SIZE: 2
NUM_NODES: 1
MAX_STEPS: 50
TIME_LIMIT: "20:00"
TEST_LEVEL: L0
resume.checkpoint.bert.345m_tp1_pp2_1node:
<<: *selene-test-resume-checkpoint-launcher
variables:
<<: [*VARS]
RUN_MODEL: bert
TP_SIZE: 1
PP_SIZE: 2
NUM_NODES: 1
TIME_LIMIT: "30:00"
TEST_LEVEL: L0
cleanup.selene:
tags:
- ssh_selene_runner
stage: cleanup
variables:
<<: [*VARS]
script:
- set +e
- NUM_CLEANUP=`find ${SELENE_ADLR_CI_PATH}/* -type d -ctime +20 | grep -v data | wc -l`
- find ${SELENE_ADLR_CI_PATH}/* -type d -ctime +20 | grep -v data | xargs rm -rf
- find ${SELENE_ADLR_CI_PATH}/* -type d -name "checkpoints" -ctime +2 | grep -v data | xargs rm -rf
- echo "Finished cleaning $NUM_CLEANUP directories older than 20 days everything in Selene"
allow_failure: true
rules:
- when: always