// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include "gflags/gflags.h" #include "paddle/fluid/framework/commit.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/inference/api/paddle_inference_api.h" #include "paddle/fluid/inference/api/paddle_pass_builder.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { int PaddleDtypeSize(PaddleDType dtype) { switch (dtype) { case PaddleDType::FLOAT32: return sizeof(float); case PaddleDType::INT64: return sizeof(int64_t); case PaddleDType::INT32: return sizeof(int32_t); case PaddleDType::UINT8: return sizeof(uint8_t); default: assert(false); return -1; } } PaddleBuf::PaddleBuf(PaddleBuf &&other) : data_(other.data_), length_(other.length_), memory_owned_(other.memory_owned_) { other.memory_owned_ = false; other.data_ = nullptr; other.length_ = 0; } PaddleBuf::PaddleBuf(const PaddleBuf &other) { *this = other; } PaddleBuf &PaddleBuf::operator=(const PaddleBuf &other) { if (!other.memory_owned_) { data_ = other.data_; length_ = other.length_; memory_owned_ = other.memory_owned_; } else { Resize(other.length()); // if other.length() == 0 or other.data() == nullptr, then the memcpy // behavior is undefined if (other.length() && other.data()) memcpy(data_, other.data(), other.length()); else if (other.length()) PADDLE_THROW(platform::errors::InvalidArgument( "Invalid argument, null pointer data with length %u is passed", other.length())); length_ = other.length(); memory_owned_ = true; } return *this; } PaddleBuf &PaddleBuf::operator=(PaddleBuf &&other) { // only the buffer with external memory can be copied data_ = other.data_; length_ = other.length_; memory_owned_ = other.memory_owned_; other.data_ = nullptr; other.length_ = 0; other.memory_owned_ = false; return *this; } void PaddleBuf::Resize(size_t length) { // Only the owned memory can be reset, the external memory can't be changed. if (length_ >= length) return; if (memory_owned_) { Free(); data_ = new char[length]; length_ = length; memory_owned_ = true; } else { PADDLE_THROW(platform::errors::PreconditionNotMet( "The memory is allocated externally, can not Resized")); } } void PaddleBuf::Reset(void *data, size_t length) { Free(); memory_owned_ = false; data_ = data; length_ = length; } void PaddleBuf::Free() { if (memory_owned_ && data_) { PADDLE_ENFORCE_GT( length_, 0UL, platform::errors::PreconditionNotMet( "The memory used in PaddleBuf %d should be greater than 0", length_)); delete[] static_cast(data_); data_ = nullptr; length_ = 0; } } NativeConfig::NativeConfig() { LOG(WARNING) << "The paddle::NativeConfig interface is going to be " "deprecated in the next release, plase use the latest " "paddle_infer::Config instead."; } std::string get_version() { std::stringstream ss; ss << "version: " << framework::paddle_version() << "\n"; ss << "commit: " << framework::paddle_commit() << "\n"; ss << "branch: " << framework::paddle_compile_branch() << "\n"; return ss.str(); } std::string UpdateDllFlag(const char *name, const char *value) { std::string ret; LOG(WARNING) << "The function \"UpdateDllFlag\" is only used to update the flag " "on the Windows shared library"; ret = ::GFLAGS_NAMESPACE::SetCommandLineOption(name, value); PADDLE_ENFORCE_EQ( ret.empty(), false, platform::errors::InvalidArgument( "Fail to update flag: %s, please make sure the flag exists.", name)); LOG(INFO) << ret; return ret; } } // namespace paddle