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75 lines
2.3 KiB
75 lines
2.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/platform/dynload/tensorrt.h"
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#include <string>
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namespace paddle {
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namespace platform {
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namespace dynload {
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std::once_flag tensorrt_dso_flag;
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void* tensorrt_dso_handle;
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#define DEFINE_WRAP(__name) DynLoad__##__name __name
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TENSORRT_RAND_ROUTINE_EACH(DEFINE_WRAP);
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void* GetTensorRtHandle() {
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#if defined(__APPLE__) || defined(__OSX__)
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std::string dso_name = "libnvinfer.dylib";
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#elif defined(_WIN32)
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std::string dso_name = "nvinfer.dll";
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#else
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std::string dso_name = "libnvinfer.so";
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#endif
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#if !defined(_WIN32)
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int dynload_flags = RTLD_LAZY | RTLD_LOCAL;
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#else
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int dynload_flags = 0;
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#endif // !_WIN32
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void* dso_handle = dlopen(dso_name.c_str(), dynload_flags);
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if (nullptr == dso_handle) {
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auto error_msg =
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"TensorRT dynamic library (%s) that Paddle depends on is not "
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"configured correctly. (error code is %s)\n"
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" Suggestions:\n"
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" 1. Check if TensorRT "
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"is installed correctly and its version is matched with paddlepaddle "
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"you installed.\n"
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" 2. Configure TensorRT dynamic library environment variables as "
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"follows:\n"
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" - Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...`\n"
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" - Windows: set PATH by `set PATH=XXX;%PATH%`\n"
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" - Mac: set DYLD_LIBRARY_PATH by `export DYLD_LIBRARY_PATH=...` "
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"[Note: After Mac OS 10.11, using the DYLD_LIBRARY_PATH is "
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"impossible unless System Integrity Protection (SIP) is disabled.]";
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#if !defined(_WIN32)
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auto errorno = dlerror();
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#else
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auto errorno = GetLastError();
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#endif // !_WIN32
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std::cerr << string::Sprintf(error_msg, dso_name, errorno);
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}
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return dso_handle;
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}
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} // namespace dynload
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} // namespace platform
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} // namespace paddle
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