Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Standardize the naming format of images #898

Merged
merged 2 commits into from
Nov 14, 2024
Merged

Standardize the naming format of images #898

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f46259c
Standardize the naming format of images
ZePan110 Nov 14, 2024
d6ef50d
test
ZePan110 Nov 14, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 7 additions & 5 deletions tests/agent/test_agent_langchain_on_intel_hpu.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -51,12 +51,12 @@ function build_vllm_docker_images() {
git clone https://github.com/HabanaAI/vllm-fork.git
fi
cd ./vllm-fork
docker build -f Dockerfile.hpu -t opea/vllm:hpu --shm-size=128g . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
docker build -f Dockerfile.hpu -t opea/vllm-hpu:comps --shm-size=128g . --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy
if [ $? -ne 0 ]; then
echo "opea/vllm:hpu failed"
echo "opea/vllm-hpu:comps failed"
exit 1
else
echo "opea/vllm:hpu successful"
echo "opea/vllm-hpu:comps successful"
fi
}

Expand Down Expand Up @@ -87,7 +87,8 @@ function start_vllm_service() {

#single card
echo "start vllm gaudi service"
docker run -d --runtime=habana --rm --name "test-comps-vllm-gaudi-service" -e HABANA_VISIBLE_DEVICES=all -p $vllm_port:80 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host opea/vllm:hpu --model ${model} --host 0.0.0.0 --port 80 --block-size 128 --max-num-seqs 4096 --max-seq_len-to-capture 8192
echo "**************model is $model**************"
docker run -d --runtime=habana --rm --name "test-comps-vllm-gaudi-service" -e HABANA_VISIBLE_DEVICES=all -p $vllm_port:80 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host opea/vllm-hpu:comps --model ${model} --host 0.0.0.0 --port 80 --block-size 128 --max-num-seqs 4096 --max-seq_len-to-capture 8192
sleep 5s
echo "Waiting vllm gaudi ready"
n=0
Expand All @@ -113,7 +114,8 @@ function start_vllm_auto_tool_choice_service() {

#single card
echo "start vllm gaudi service"
docker run -d --runtime=habana --rm --name "test-comps-vllm-gaudi-service" -e HABANA_VISIBLE_DEVICES=all -p $vllm_port:80 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host opea/vllm:hpu --model ${model} --host 0.0.0.0 --port 80 --block-size 128 --max-num-seqs 4096 --max-seq_len-to-capture 8192 --enable-auto-tool-choice --tool-call-parser ${model_parser}
echo "**************auto_tool model is $model**************"
docker run -d --runtime=habana --rm --name "test-comps-vllm-gaudi-service" -e HABANA_VISIBLE_DEVICES=all -p $vllm_port:80 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host opea/vllm-hpu:comps --model ${model} --host 0.0.0.0 --port 80 --block-size 128 --max-num-seqs 4096 --max-seq_len-to-capture 8192 --enable-auto-tool-choice --tool-call-parser ${model_parser}
sleep 5s
echo "Waiting vllm gaudi ready"
n=0
Expand Down