text-generation-inference/backends/neuron/Makefile

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Add Neuron backend (#3033) * feat: add neuron backend * feat(neuron): add server standalone installation * feat(neuron): add server and integration tests * fix(neuron): increase ulimit when building image The base image used to compile the rust components seems to have a low ulimit for opened files, which leads to errors during compilation. * test(neuron): merge integration tests and fixtures * test: add --neuron option * review: do not use latest tag * review: remove ureq pinned version * review: --privileged should be the exception * feat: add neuron case to build ci * fix(neuron): export models from container in test fixtures The neuron tests require models to have been previously exported and cached on the hub. This is done automatically by the neuron.model fixture the first time the tests are ran for a specific version. This fixture used to export the models using optimum-neuron directly, but this package is not necessarily present on the system. Instead, it is now done through the neuron TGI itself, since it contains all the tools required to export the models. Note that since the CI runs docker in docker (dind) it does not seem possible to share a volume between the CI container and the container used to export the model. For that reason, a specific image with a modified entrypoint is built on-the-fly when a model export is required. * refactor: remove sagemaker entry-point The SageMaker image is built differently anyway. * fix(neuron): avoid using Levenshtein * test(neuron): use smaller llama model * feat(neuron): avoid installing CUDA in image * test(neuron): no error anymore when requesting too many tokens * ci: doing a precompilation step (with a different token). * test(neuron): avoid using image sha when exporting models We now manually evaluate the apparent hash of the neuron backend by combining the hash of the neuron backend directory and Dockerfile. This new hash is used to identify exported neuron models instead of the image sha. This has two benefits: - it changes less frequently (only hwen the neuron backend changes), which means less neuron models being pushed to the hub, - it can be evaluated locally, meaning that running the tests once locally will export the models before the CI uses them. * test(neuron): added a small script to prune test models --------- Co-authored-by: drbh <david.richard.holtz@gmail.com> Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2025-02-24 08:10:05 +00:00
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# 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
#
# http://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.
mkfile_path := $(abspath $(lastword $(MAKEFILE_LIST)))
mkfile_dir := $(dir $(mkfile_path))
root_dir := "${mkfile_dir}/../.."
.PHONY: image install_server test_server test_integration
VERSION := $(shell gawk 'match($$0, /^version = "(.*)"/, a) {print a[1]}' ${root_dir}/Cargo.toml)
image:
docker build --rm -f ${root_dir}/Dockerfile.neuron \
--ulimit nofile=100000:100000 \
--build-arg VERSION=$(VERSION) \
-t text-generation-inference:$(VERSION)-neuron ${root_dir}
docker tag text-generation-inference:$(VERSION)-neuron text-generation-inference:latest-neuron
Add Neuron backend (#3033) * feat: add neuron backend * feat(neuron): add server standalone installation * feat(neuron): add server and integration tests * fix(neuron): increase ulimit when building image The base image used to compile the rust components seems to have a low ulimit for opened files, which leads to errors during compilation. * test(neuron): merge integration tests and fixtures * test: add --neuron option * review: do not use latest tag * review: remove ureq pinned version * review: --privileged should be the exception * feat: add neuron case to build ci * fix(neuron): export models from container in test fixtures The neuron tests require models to have been previously exported and cached on the hub. This is done automatically by the neuron.model fixture the first time the tests are ran for a specific version. This fixture used to export the models using optimum-neuron directly, but this package is not necessarily present on the system. Instead, it is now done through the neuron TGI itself, since it contains all the tools required to export the models. Note that since the CI runs docker in docker (dind) it does not seem possible to share a volume between the CI container and the container used to export the model. For that reason, a specific image with a modified entrypoint is built on-the-fly when a model export is required. * refactor: remove sagemaker entry-point The SageMaker image is built differently anyway. * fix(neuron): avoid using Levenshtein * test(neuron): use smaller llama model * feat(neuron): avoid installing CUDA in image * test(neuron): no error anymore when requesting too many tokens * ci: doing a precompilation step (with a different token). * test(neuron): avoid using image sha when exporting models We now manually evaluate the apparent hash of the neuron backend by combining the hash of the neuron backend directory and Dockerfile. This new hash is used to identify exported neuron models instead of the image sha. This has two benefits: - it changes less frequently (only hwen the neuron backend changes), which means less neuron models being pushed to the hub, - it can be evaluated locally, meaning that running the tests once locally will export the models before the CI uses them. * test(neuron): added a small script to prune test models --------- Co-authored-by: drbh <david.richard.holtz@gmail.com> Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2025-02-24 08:10:05 +00:00
install_server:
make -C ${mkfile_dir}/server install VERSION:=${VERSION}
test_server: install_server
python -m pip install -r ${mkfile_dir}/tests/requirements.txt
python -m pytest -sv ${mkfile_dir}/tests/server