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simple_grpc_custom_args_client.cc
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simple_grpc_custom_args_client.cc
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// Copyright 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.
#include <getopt.h>
#include <unistd.h>
#include <iostream>
#include <string>
#include "grpc_client.h"
namespace tc = triton::client;
#define FAIL_IF_ERR(X, MSG) \
{ \
tc::Error err = (X); \
if (!err.IsOk()) { \
std::cerr << "error: " << (MSG) << ": " << err << std::endl; \
exit(1); \
} \
}
namespace {
void
ValidateShapeAndDatatype(
const std::string& name, std::shared_ptr<tc::InferResult> result)
{
std::vector<int64_t> shape;
FAIL_IF_ERR(
result->Shape(name, &shape), "unable to get shape for '" + name + "'");
// Validate shape
if ((shape.size() != 2) || (shape[0] != 1) || (shape[1] != 16)) {
std::cerr << "error: received incorrect shapes for '" << name << "'"
<< std::endl;
exit(1);
}
std::string datatype;
FAIL_IF_ERR(
result->Datatype(name, &datatype),
"unable to get datatype for '" + name + "'");
// Validate datatype
if (datatype.compare("INT32") != 0) {
std::cerr << "error: received incorrect datatype for '" << name
<< "': " << datatype << std::endl;
exit(1);
}
}
void
Usage(char** argv, const std::string& msg = std::string())
{
if (!msg.empty()) {
std::cerr << "error: " << msg << std::endl;
}
std::cerr << "Usage: " << argv[0] << " [options]" << std::endl;
std::cerr << "\t-v" << std::endl;
std::cerr << "\t-m <model name>" << std::endl;
std::cerr << "\t-u <URL for inference service>" << std::endl;
std::cerr << "\t-t <client timeout in microseconds>" << std::endl;
std::cerr << "\t-H <HTTP header>" << std::endl;
std::cerr << std::endl;
std::cerr
<< "For -H, header must be 'Header:Value'. May be given multiple times."
<< std::endl;
exit(1);
}
} // namespace
int
main(int argc, char** argv)
{
bool verbose = false;
std::string url("localhost:8001");
tc::Headers http_headers;
uint32_t client_timeout = 0;
bool use_ssl = false;
tc::SslOptions ssl_options;
grpc::ChannelArguments channel_args;
// Set any valid grpc::ChannelArguments here based on use case
channel_args.SetMaxSendMessageSize(1024 * 1024);
channel_args.SetMaxReceiveMessageSize(1024 * 1024);
// Setting KeepAlive options using new generic channel arguments option
// https://grpc.github.io/grpc/cpp/md_doc_keepalive.html
channel_args.SetInt(GRPC_ARG_KEEPALIVE_TIME_MS, INT_MAX);
channel_args.SetInt(GRPC_ARG_KEEPALIVE_TIMEOUT_MS, 20000);
channel_args.SetInt(GRPC_ARG_KEEPALIVE_PERMIT_WITHOUT_CALLS, false);
channel_args.SetInt(GRPC_ARG_HTTP2_MAX_PINGS_WITHOUT_DATA, 2);
// Example arg requested for the feature
channel_args.SetInt(GRPC_ARG_DNS_ENABLE_SRV_QUERIES, 1);
// Parse commandline...
int opt;
while ((opt = getopt_long(argc, argv, "vu:t:H:C:", NULL, NULL)) != -1) {
switch (opt) {
case 'v':
verbose = true;
break;
case 'u':
url = optarg;
break;
case 't':
client_timeout = std::stoi(optarg);
break;
case 'H': {
std::string arg = optarg;
std::string header = arg.substr(0, arg.find(":"));
http_headers[header] = arg.substr(header.size() + 1);
break;
}
case '?':
Usage(argv);
break;
}
}
// We use a simple model that takes 2 input tensors of 16 integers
// each and returns 2 output tensors of 16 integers each. One output
// tensor is the element-wise sum of the inputs and one output is
// the element-wise difference.
std::string model_name = "simple";
std::string model_version = "";
// Create a InferenceServerGrpcClient instance to communicate with the
// server using gRPC protocol.
std::unique_ptr<tc::InferenceServerGrpcClient> client;
FAIL_IF_ERR(
tc::InferenceServerGrpcClient::Create(
&client, url, channel_args, verbose, use_ssl, ssl_options),
"unable to create grpc client");
// Create the data for the two input tensors. Initialize the first
// to unique integers and the second to all ones.
std::vector<int32_t> input0_data(16);
std::vector<int32_t> input1_data(16);
for (size_t i = 0; i < 16; ++i) {
input0_data[i] = i;
input1_data[i] = 1;
}
std::vector<int64_t> shape{1, 16};
// Initialize the inputs with the data.
tc::InferInput* input0;
tc::InferInput* input1;
FAIL_IF_ERR(
tc::InferInput::Create(&input0, "INPUT0", shape, "INT32"),
"unable to get INPUT0");
std::shared_ptr<tc::InferInput> input0_ptr;
input0_ptr.reset(input0);
FAIL_IF_ERR(
tc::InferInput::Create(&input1, "INPUT1", shape, "INT32"),
"unable to get INPUT1");
std::shared_ptr<tc::InferInput> input1_ptr;
input1_ptr.reset(input1);
FAIL_IF_ERR(
input0_ptr->AppendRaw(
reinterpret_cast<uint8_t*>(&input0_data[0]),
input0_data.size() * sizeof(int32_t)),
"unable to set data for INPUT0");
FAIL_IF_ERR(
input1_ptr->AppendRaw(
reinterpret_cast<uint8_t*>(&input1_data[0]),
input1_data.size() * sizeof(int32_t)),
"unable to set data for INPUT1");
// Generate the outputs to be requested.
tc::InferRequestedOutput* output0;
tc::InferRequestedOutput* output1;
FAIL_IF_ERR(
tc::InferRequestedOutput::Create(&output0, "OUTPUT0"),
"unable to get 'OUTPUT0'");
std::shared_ptr<tc::InferRequestedOutput> output0_ptr;
output0_ptr.reset(output0);
FAIL_IF_ERR(
tc::InferRequestedOutput::Create(&output1, "OUTPUT1"),
"unable to get 'OUTPUT1'");
std::shared_ptr<tc::InferRequestedOutput> output1_ptr;
output1_ptr.reset(output1);
// The inference settings. Will be using default for now.
tc::InferOptions options(model_name);
options.model_version_ = model_version;
options.client_timeout_ = client_timeout;
std::vector<tc::InferInput*> inputs = {input0_ptr.get(), input1_ptr.get()};
std::vector<const tc::InferRequestedOutput*> outputs = {output0_ptr.get(),
output1_ptr.get()};
tc::InferResult* results;
FAIL_IF_ERR(
client->Infer(&results, options, inputs, outputs, http_headers),
"unable to run model");
std::shared_ptr<tc::InferResult> results_ptr;
results_ptr.reset(results);
// Validate the results...
ValidateShapeAndDatatype("OUTPUT0", results_ptr);
ValidateShapeAndDatatype("OUTPUT1", results_ptr);
// Get pointers to the result returned...
int32_t* output0_data;
size_t output0_byte_size;
FAIL_IF_ERR(
results_ptr->RawData(
"OUTPUT0", (const uint8_t**)&output0_data, &output0_byte_size),
"unable to get result data for 'OUTPUT0'");
if (output0_byte_size != 64) {
std::cerr << "error: received incorrect byte size for 'OUTPUT0': "
<< output0_byte_size << std::endl;
exit(1);
}
int32_t* output1_data;
size_t output1_byte_size;
FAIL_IF_ERR(
results_ptr->RawData(
"OUTPUT1", (const uint8_t**)&output1_data, &output1_byte_size),
"unable to get result data for 'OUTPUT1'");
if (output1_byte_size != 64) {
std::cerr << "error: received incorrect byte size for 'OUTPUT1': "
<< output1_byte_size << std::endl;
exit(1);
}
for (size_t i = 0; i < 16; ++i) {
std::cout << input0_data[i] << " + " << input1_data[i] << " = "
<< *(output0_data + i) << std::endl;
std::cout << input0_data[i] << " - " << input1_data[i] << " = "
<< *(output1_data + i) << std::endl;
if ((input0_data[i] + input1_data[i]) != *(output0_data + i)) {
std::cerr << "error: incorrect sum" << std::endl;
exit(1);
}
if ((input0_data[i] - input1_data[i]) != *(output1_data + i)) {
std::cerr << "error: incorrect difference" << std::endl;
exit(1);
}
}
// Get full response
std::cout << results_ptr->DebugString() << std::endl;
std::cout << "PASS : CustomArgs" << std::endl;
return 0;
}