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Add L0_storage_swiftstack test (triton-inference-server#2934)
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* Add L0_storage_swiftstack test

* Rename test
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@CoderHam
CoderHam authored Jun 1, 2021
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164 changes: 164 additions & 0 deletions qa/L0_storage_swiftstack/infer_test.py
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# Copyright (c) 2021, NVIDIA CORPORATION. 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.

import sys
sys.path.append("../common")

from builtins import range
from future.utils import iteritems
import unittest
import numpy as np
import infer_util as iu
import test_util as tu
import os


class InferTest(tu.TestResultCollector):

def _full_exact(self, input_dtype, output0_dtype, output1_dtype,
output0_raw, output1_raw, swap):

def _infer_exact_helper(tester,
pf,
tensor_shape,
batch_size,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=True,
output1_raw=True,
model_version=None,
swap=False,
outputs=("OUTPUT0", "OUTPUT1"),
use_http=True,
use_grpc=True,
skip_request_id_check=False,
use_streaming=True,
correlation_id=0):
for bs in (1, batch_size):
iu.infer_exact(tester,
pf, (bs,) + tensor_shape,
bs,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=output0_raw,
output1_raw=output1_raw,
model_version=model_version,
swap=swap,
outputs=outputs,
use_http=use_http,
use_grpc=use_grpc,
skip_request_id_check=skip_request_id_check,
use_streaming=use_streaming,
correlation_id=correlation_id)

input_size = 16

if tu.validate_for_tf_model(input_dtype, output0_dtype, output1_dtype,
(input_size,), (input_size,),
(input_size,)):
for pf in ["graphdef", "savedmodel"]:
_infer_exact_helper(self,
pf, (input_size,),
8,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=output0_raw,
output1_raw=output1_raw,
swap=swap)

if tu.validate_for_trt_model(input_dtype, output0_dtype, output1_dtype,
(input_size, 1, 1), (input_size, 1, 1),
(input_size, 1, 1)):
if input_dtype == np.int8:
_infer_exact_helper(self,
'plan', (input_size, 1, 1),
8,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=output0_raw,
output1_raw=output1_raw,
swap=swap)
else:
_infer_exact_helper(self,
'plan', (input_size,),
8,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=output0_raw,
output1_raw=output1_raw,
swap=swap)

if tu.validate_for_onnx_model(input_dtype, output0_dtype, output1_dtype,
(input_size,), (input_size,),
(input_size,)):
_infer_exact_helper(self,
'onnx', (input_size,),
8,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=output0_raw,
output1_raw=output1_raw,
swap=swap)

if tu.validate_for_libtorch_model(input_dtype, output0_dtype,
output1_dtype, (input_size,),
(input_size,), (input_size,)):
_infer_exact_helper(self,
'libtorch', (input_size,),
8,
input_dtype,
output0_dtype,
output1_dtype,
output0_raw=output0_raw,
output1_raw=output1_raw,
swap=swap)

def test_raw_fff(self):
self._full_exact(np.float32,
np.float32,
np.float32,
output0_raw=True,
output1_raw=True,
swap=True)


def test_class_fff(self):
self._full_exact(np.float32,
np.float32,
np.float32,
output0_raw=False,
output1_raw=False,
swap=True)


if __name__ == '__main__':
unittest.main()
194 changes: 194 additions & 0 deletions qa/L0_storage_swiftstack/test.sh
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#!/bin/bash
# Copyright (c) 2021, NVIDIA CORPORATION. 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

export CUDA_VISIBLE_DEVICES=0

unset AWS_ACCESS_KEY_ID
unset AWS_SECRET_ACCESS_KEY
unset AWS_DEFAULT_REGION

pip3 install --no-deps awscli-plugin-endpoint

# cli_legacy_plugin_path = /usr/local/lib/python3.8/site-packages

mkdir -p ~/.aws
# Swiftstack S3 credentials are necessary for this test. Passed via ENV variables
echo "[plugins]
endpoint = awscli_plugin_endpoint
[default]
aws_access_key_id = $SWIFTSTACK_ACCESS_KEY_ID
aws_secret_access_key = $SWIFTSTACK_SECRET_ACCESS_KEY
region = $SWIFTSTACK_DEFAULT_REGION
s3 =
endpoint_url = https://pbss.s8k.io
signature_version = s3v4
payload_signing_enabled = true
" > ~/.aws/config

export AWS_ACCESS_KEY_ID=$SWIFTSTACK_ACCESS_KEY_ID &&
export AWS_SECRET_ACCESS_KEY=$SWIFTSTACK_SECRET_ACCESS_KEY &&
export AWS_DEFAULT_REGION=$SWIFTSTACK_DEFAULT_REGION

# S3 bucket path (Point to bucket when testing cloud storage)
BUCKET_URL="s3://triton-bucket-${CI_PIPELINE_ID}"

# S3 repo path to pass to Triton server
S3_REPO_URL="s3://https://pbss.s8k.io:443/triton-bucket-${CI_PIPELINE_ID}"

# Cleanup S3 test bucket if exists (due to test failure)
aws s3 rm $BUCKET_URL --recursive --include "*" && \
aws s3 rb $BUCKET_URL || true

# Make S3 test bucket
aws s3 mb $BUCKET_URL

SERVER=/opt/tritonserver/bin/tritonserver
SERVER_TIMEOUT=420

CLIENT_LOG_BASE="./client"
SERVER_LOG_BASE="./inference_server"
INFER_TEST=infer_test.py
EXPECTED_NUM_TESTS="2"
source ../common/util.sh

rm -f $SERVER_LOG_BASE* $CLIENT_LOG_BASE*
RET=0

SERVER_LOG=$SERVER_LOG_BASE.log
CLIENT_LOG=$CLIENT_LOG_BASE.log

# Copy models in model directory
rm -rf models && mkdir -p models

aws s3 rm $BUCKET_URL/ --recursive --include "*"

# Now start model tests

for FW in graphdef savedmodel onnx libtorch plan; do
cp -r /data/inferenceserver/${REPO_VERSION}/qa_model_repository/${FW}_float32_float32_float32/ models/
done

for FW in graphdef savedmodel onnx libtorch plan; do
for MC in `ls models/${FW}*/config.pbtxt`; do
echo "instance_group [ { kind: KIND_GPU }]" >> $MC
done
done

# copy contents of /models into S3 bucket.
aws s3 cp models/ $BUCKET_URL/ --recursive --include "*"

# Test without polling
SERVER_ARGS="--model-repository=$S3_REPO_URL --exit-timeout-secs=120"

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 $INFER_TEST >$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
else
check_test_results $CLIENT_LOG $EXPECTED_NUM_TESTS
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Result Verification Failed\n***"
RET=1
fi
fi

set -e

kill $SERVER_PID
wait $SERVER_PID

# Clean up bucket contents
aws s3 rm $BUCKET_URL/ --recursive --include "*"


# Test with polling enabled
SERVER_ARGS="--model-repository=$S3_REPO_URL --exit-timeout-secs=120 --model-control-mode=poll"

run_server
if [ "$SERVER_PID" == "0" ]; then
echo -e "\n***\n*** Failed to start $SERVER\n***"
cat $SERVER_LOG
exit 1
fi

# copy contents of /models into S3 bucket and wait for them to be loaded.
aws s3 cp models/ $BUCKET_URL/ --recursive --include "*"
sleep 420

set +e

python $INFER_TEST >$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Failed\n***"
RET=1
else
check_test_results $CLIENT_LOG $EXPECTED_NUM_TESTS
if [ $? -ne 0 ]; then
cat $CLIENT_LOG
echo -e "\n***\n*** Test Result Verification Failed\n***"
RET=1
fi
fi

set -e

kill $SERVER_PID
wait $SERVER_PID

# Clean up bucket contents and delete bucket
aws s3 rm $BUCKET_URL/ --recursive --include "*"
aws s3 rb $BUCKET_URL

if [ $RET -eq 0 ]; then
echo -e "\n***\n*** Test Passed\n***"
fi

exit $RET

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