From 3774779cb77b90580bc0e83071b9a399a6aa347e Mon Sep 17 00:00:00 2001 From: Evgeny Pavlov Date: Thu, 28 Mar 2024 15:53:16 -0700 Subject: [PATCH] Add Marian server for model testing (#492) * Compile marian server * Add Marian server for testing * Reformat * Update utils/marian_client.py Co-authored-by: Greg Tatum * Make port configurable * Relock poetry --------- Co-authored-by: Greg Tatum --- Makefile | 52 +-- docker/Dockerfile | 4 +- pipeline/setup/compile-marian.sh | 4 +- poetry.lock | 598 +++++++++++++++++-------------- pyproject.toml | 1 + utils/marian_client.py | 50 +++ 6 files changed, 418 insertions(+), 291 deletions(-) create mode 100644 utils/marian_client.py diff --git a/Makefile b/Makefile index d7f6d6de..9f76f110 100644 --- a/Makefile +++ b/Makefile @@ -5,6 +5,11 @@ SHELL=/bin/bash # task group id for downloading evals and logs LOGS_TASK_GROUP?= +# An ID of a Taskcluster task with a Marian model in the artifacts +MODEL_TASK?= +# A command to run with run-docker +DOCKER_COMMAND=bash +MARIAN_SERVER_PORT=8886 # OpusCleaner is a data cleaner for training corpus # More details are in docs/cleaning.md @@ -103,27 +108,26 @@ run-docker: --rm \ --volume $$(pwd):/builds/worker/checkouts \ --workdir /builds/worker/checkouts \ - ftt-local bash + -p $(MARIAN_SERVER_PORT):$(MARIAN_SERVER_PORT) \ + ftt-local $(DOCKER_COMMAND) # Run tests under Docker -run-tests-docker: build-docker -run-tests-docker: - # this is a mitigation to guard against build failures with the new Apple ARM processors - if [ -n "$$VIRTUAL_ENV" ]; then \ - echo "Error: Virtual environment detected. Exit the poetry shell."; \ - exit 1; \ - fi && \ - if [ $$(uname -m) == 'arm64' ]; then \ - echo "setting arm64 platform"; \ - export DOCKER_DEFAULT_PLATFORM=linux/amd64; \ - fi && \ - docker run \ - --interactive \ - --tty \ - --rm \ - --volume $$(pwd):/builds/worker/checkouts \ - --workdir /builds/worker/checkouts \ - ftt-local make run-tests +run-tests-docker: DOCKER_COMMAND="make run-tests" +run-tests-docker: run-docker + +# Run Marian server that loads a model from data/models/$MODEL_TASK +# For example: +# MODEL_TASK=ZP5V73iKTM2HCFQsCU-JBQ make download-model +# MODEL_TASK=ZP5V73iKTM2HCFQsCU-JBQ make run-server-docker +# Then run `python utils/marian_client.py` to test the model +# It will be slow on a CPU under Docker +run-server-docker: DOCKER_COMMAND=/builds/worker/tools/marian-dev/build/marian-server \ + -c /builds/worker/checkouts/data/taskcluster-models/$(MODEL_TASK)/decoder.yml \ + -m /builds/worker/checkouts/data/taskcluster-models/$(MODEL_TASK)/model.npz \ + -v /builds/worker/checkouts/data/taskcluster-models/$(MODEL_TASK)/vocab.spm /builds/worker/checkouts/data/taskcluster-models/$(MODEL_TASK)/vocab.spm \ + --port $(MARIAN_SERVER_PORT) +run-server-docker: run-docker + # Validates Taskcluster task graph locally validate-taskgraph: @@ -155,13 +159,21 @@ download-logs: # Downloads evaluation results from Taskcluster task group to a CSV file # This includes BLEU and chrF metrics for each dataset and trained model download-evals: - mkdir -p data/taskcluster-logs + mkdir -p data/taskcluster-evals poetry install --only taskcluster --no-root poetry run python utils/taskcluster_downloader.py \ --output=data/taskcluster-evals/$(LOGS_TASK_GROUP) \ --mode=evals \ --task-group-id=$(LOGS_TASK_GROUP) +# Downloads a trained model from the Taskcluster task artifacts +# For example: `MODEL_TASK=ZP5V73iKTM2HCFQsCU-JBQ make download-model` +download-model: + mkdir -p data/taskcluster-models/$(MODEL_TASK) + wget -O data/taskcluster-models/$(MODEL_TASK)/decoder.yml https://firefox-ci-tc.services.mozilla.com/api/queue/v1/task/$(MODEL_TASK)/runs/0/artifacts/public%2Fbuild%2Fmodel.npz.best-chrf.npz.decoder.yml + wget -O data/taskcluster-models/$(MODEL_TASK)/model.npz https://firefox-ci-tc.services.mozilla.com/api/queue/v1/task/$(MODEL_TASK)/runs/0/artifacts/public%2Fbuild%2Fmodel.npz.best-chrf.npz + wget -O data/taskcluster-models/$(MODEL_TASK)/vocab.spm https://firefox-ci-tc.services.mozilla.com/api/queue/v1/task/$(MODEL_TASK)/runs/0/artifacts/public%2Fbuild%2Fvocab.spm + # Runs Tensorboard for Marian training logs in ./logs directory # then go to http://localhost:6006 diff --git a/docker/Dockerfile b/docker/Dockerfile index 3f145d18..ff513d66 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -25,7 +25,9 @@ RUN apt-get update -qq \ libhunspell-dev \ bc \ libopenblas-dev \ - && apt-get clean + openssl \ + libssl-dev \ + && apt-get clean RUN mkdir /builds/worker/tools && \ chown worker:worker /builds/worker/tools && \ diff --git a/pipeline/setup/compile-marian.sh b/pipeline/setup/compile-marian.sh index 9324b05f..9d35120c 100755 --- a/pipeline/setup/compile-marian.sh +++ b/pipeline/setup/compile-marian.sh @@ -17,12 +17,14 @@ mkdir -p "${marian_dir}" cd "${marian_dir}" if [ "${use_gpu}" == "true" ]; then + # this is a production version that runs on GPU test -v CUDA_DIR cmake .. -DUSE_SENTENCEPIECE=on -DUSE_FBGEMM=on -DCOMPILE_CPU=on -DCMAKE_BUILD_TYPE=Release \ -DCUDA_TOOLKIT_ROOT_DIR="${CUDA_DIR}" "${extra_args[@]}" else + # this is a CPU version that we use for testing cmake .. -DUSE_SENTENCEPIECE=on -DUSE_FBGEMM=on -DCOMPILE_CPU=on -DCMAKE_BUILD_TYPE=Release \ - -DCOMPILE_CUDA=off "${extra_args[@]}" + -DCOMPILE_CUDA=off -DCOMPILE_SERVER=on "${extra_args[@]}" fi make -j "${threads}" diff --git a/poetry.lock b/poetry.lock index d71dede3..aa802647 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. 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["websockets"] + [[package]] name = "werkzeug" version = "3.0.1" @@ -3889,13 +3934,13 @@ watchdog = ["watchdog (>=2.3)"] [[package]] name = "wheel" -version = "0.42.0" +version = "0.43.0" description = "A built-package format for Python" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "wheel-0.42.0-py3-none-any.whl", hash = "sha256:177f9c9b0d45c47873b619f5b650346d632cdc35fb5e4d25058e09c9e581433d"}, - {file = "wheel-0.42.0.tar.gz", hash = "sha256:c45be39f7882c9d34243236f2d63cbd58039e360f85d0913425fbd7ceea617a8"}, + {file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"}, + {file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"}, ] [package.extras] @@ -4111,6 +4156,21 @@ files = [ idna = ">=2.0" multidict = ">=4.0" +[[package]] +name = "zipp" +version = "3.18.1" +description = "Backport of pathlib-compatible object wrapper for zip files" +optional = false +python-versions = ">=3.8" +files = [ + {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"}, + {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"}, +] + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] + [[package]] name = "zstandard" version = "0.22.0" @@ -4175,4 +4235,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "21a7b3128ef7df510174a458c79e200ee3d661675a7fad93149a0e74990e916d" +content-hash = "a4d86affe94f711afe645127bec0ef7eda2135f2b044b2874d733a793fd13eda" diff --git a/pyproject.toml b/pyproject.toml index 1dc89983..6473d535 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,6 +32,7 @@ requests="2.26.0" humanize = "^4.9.0" blessed = "^1.20.0" huggingface-hub = "^0.20.3" +websocket_client ="*" [tool.poetry.group.tests.dependencies] sacrebleu="2.0.0" diff --git a/utils/marian_client.py b/utils/marian_client.py new file mode 100644 index 00000000..7274fef8 --- /dev/null +++ b/utils/marian_client.py @@ -0,0 +1,50 @@ +#!/usr/bin/env python3 +""" +A client that connects to a Marian server and translates text interactively. +Run `python utils.marian_client.py` and type a text to translate in the terminal +Source: https://github.com/marian-nmt/marian-dev/blob/master/scripts/server/client_example.py +""" + + +from __future__ import division, print_function, unicode_literals + +import argparse +import sys + +from websocket import create_connection + +if __name__ == "__main__": + # handle command-line options + parser = argparse.ArgumentParser( + description=__doc__, + formatter_class=argparse.RawTextHelpFormatter, # Preserves whitespace in the help text. + ) + parser.add_argument("-b", "--batch-size", type=int, default=1) + parser.add_argument("-p", "--port", type=int, default=8886) + args = parser.parse_args() + + # open connection + ws = create_connection(f"ws://localhost:{args.port}/translate") + + count = 0 + batch = "" + for line in sys.stdin: + count += 1 + batch += line.decode("utf-8") if sys.version_info < (3, 0) else line + if count == args.batch_size: + # translate the batch + ws.send(batch) + result = ws.recv() + print(result.rstrip()) + + count = 0 + batch = "" + + if count: + # translate the remaining sentences + ws.send(batch) + result = ws.recv() + print(result.rstrip()) + + # close connection + ws.close()