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test.sh
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test.sh
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#!/bin/bash
# Copyright 2019-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of NVIDIA CORPORATION nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
REPO_VERSION=${NVIDIA_TRITON_SERVER_VERSION}
if [ "$#" -ge 1 ]; then
REPO_VERSION=$1
fi
if [ -z "$REPO_VERSION" ]; then
echo -e "Repository version must be specified"
echo -e "\n***\n*** Test Failed\n***"
exit 1
fi
if [ ! -z "$TEST_REPO_ARCH" ]; then
REPO_VERSION=${REPO_VERSION}_${TEST_REPO_ARCH}
fi
export CUDA_VISIBLE_DEVICES=0
CLIENT_LOG="./client.log"
ZERO_OUT_TEST=zero_out_test.py
CUDA_OP_TEST=cuda_op_test.py
MOD_OP_TEST=mod_op_test.py
VISION_OP_TEST=vision_op_test.py
ONNX_OP_TEST=onnx_op_test.py
SERVER=/opt/tritonserver/bin/tritonserver
SERVER_LOG="./inference_server.log"
source ../common/util.sh
rm -f $SERVER_LOG $CLIENT_LOG
RET=0
# Must explicitly set LD_LIBRARY_PATH so that the custom operations
# can find libtensorflow_framework.so.
LD_LIBRARY_PATH=/opt/tritonserver/backends/tensorflow2:$LD_LIBRARY_PATH
# Tensorflow
SERVER_ARGS="--model-repository=/data/inferenceserver/${REPO_VERSION}/qa_custom_ops/tf_custom_ops"
SERVER_LD_PRELOAD="/data/inferenceserver/${REPO_VERSION}/qa_custom_ops/tf_custom_ops/libzeroout.so:/data/inferenceserver/${REPO_VERSION}/qa_custom_ops/tf_custom_ops/libcudaop.so:/data/inferenceserver/${REPO_VERSION}/qa_custom_ops/tf_custom_ops/libbusyop.so"
run_server
if [ "$SERVER_PID" == "0" ]; then
echo -e "\n***\n*** Failed to start $SERVER\n***"
cat $SERVER_LOG
exit 1
fi
set +e
python $ZERO_OUT_TEST -v -m graphdef_zeroout >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
python $ZERO_OUT_TEST -v -m savedmodel_zeroout >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
python $CUDA_OP_TEST -v -m graphdef_cudaop >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
python $CUDA_OP_TEST -v -m savedmodel_cudaop >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
set -e
kill $SERVER_PID
wait $SERVER_PID
# Must set LD_LIBRARY_PATH just for the server launch so that the
# custom operations can find libtorch.so and other pytorch dependencies.
LD_LIBRARY_PATH=/opt/tritonserver/backends/pytorch:$LD_LIBRARY_PATH
# Pytorch
SERVER_ARGS="--model-repository=/data/inferenceserver/${REPO_VERSION}/qa_custom_ops/libtorch_custom_ops"
# FIXME: Pre-loading the python library system to satisfy the symbol definitions
# as the custom op library is built with different python version within
# pytorch container. See DLIS-4152.
SERVER_LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libpython3.8.so.1:/data/inferenceserver/${REPO_VERSION}/qa_custom_ops/libtorch_custom_ops/libtorch_modulo/custom_modulo.so"
run_server
if [ "$SERVER_PID" == "0" ]; then
echo -e "\n***\n*** Failed to start $SERVER\n***"
cat $SERVER_LOG
exit 1
fi
set +e
python $MOD_OP_TEST -v -m libtorch_modulo >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
python $VISION_OP_TEST -v -m libtorch_visionop >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
set -e
if [ $RET -eq 0 ]; then
echo -e "\n***\n*** Test Passed\n***"
fi
kill $SERVER_PID
wait $SERVER_PID
# ONNX
rm -rf onnx_custom_ops && \
mkdir -p onnx_custom_ops/custom_op/1 && \
cp custom_op_test.onnx onnx_custom_ops/custom_op/1/model.onnx
touch onnx_custom_ops/custom_op/config.pbtxt
echo "name: \"custom_op\"" >> onnx_custom_ops/custom_op/config.pbtxt && \
echo "platform: \"onnxruntime_onnx\"" >> onnx_custom_ops/custom_op/config.pbtxt && \
echo "max_batch_size: 0" >> onnx_custom_ops/custom_op/config.pbtxt && \
echo "model_operations { op_library_filename: \"./libcustom_op_library.so\" }" >> onnx_custom_ops/custom_op/config.pbtxt
SERVER_ARGS="--model-repository=onnx_custom_ops --strict-model-config=false"
SERVER_LD_PRELOAD=""
run_server
if [ "$SERVER_PID" == "0" ]; then
echo -e "\n***\n*** Failed to start $SERVER\n***"
cat $SERVER_LOG
exit 1
fi
set +e
python $ONNX_OP_TEST -v -m custom_op >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
fi
set -e
if [ $RET -eq 0 ]; then
echo -e "\n***\n*** Test Passed\n***"
fi
kill $SERVER_PID
wait $SERVER_PID
exit $RET