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/*
COPYRIGHT
All contributions by Taiga Nomi
Copyright (c) 2013, Taiga Nomi
All rights reserved.
All other contributions:
Copyright (c) 2013-2016, the respective contributors.
All rights reserved.
Each contributor holds copyright over their respective contributions.
The project versioning (Git) records all such contribution source information.
LICENSE
The BSD 3-Clause License
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 tiny-dnn 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 AND CONTRIBUTORS "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 HOLDER 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.
*/
#pragma once
#include "tiny_dnn/layers/layer.h"
#include "tiny_dnn/core/framework/program.h"
#include "tiny_dnn/core/framework/device.fwd.h"
#if defined(USE_OPENCL) || defined(USE_CUDA)
#ifdef USE_OPENCL
#include "third_party/CLCudaAPI/clpp11.h"
#else
#include "third_party/CLCudaAPI/cupp11.h"
#endif
#endif
namespace tiny_dnn {
/* The class models a general manager to handle compiled OpenCL programs.
* Since we need to retain compiled programs per layer type, it's
* implemented as Singleton.
*/
class ProgramManager {
public:
/* This function is called to create an instance of the class.
* Calling the constructor publicly is not allowed.
* The constructor is private and is only called by this Instance function.
*/
static ProgramManager& getInstance() {
static ProgramManager instance;
return instance;
}
/* Registers and compiles a kernel source code.
*
* Creates a new program based on the kernel string.
* Note that the kernel string is moved-out when constructing the
* program to save copying: it should no longer be used in the
* remainder of this function.
*/
void registerOp(const Device& device, layer& layer) {
#if defined(USE_OPENCL) || defined(USE_CUDA)
// Register device to layer
layer.setDevice(device);
layer.createOp();
/*
// retrieve incoming device an layer
CLCudaAPI::Device device_ = device.device();
CLCudaAPI::Context context_ = device.context();
// check if previous program was build with this
// Devce and Layer.
Program key_program(&device, &layer);
auto iter = programs_.find(key_program);
if (iter != programs_.end()) {
nn_warn("Program already registered.");
return;
}
// Define op kernel string and instantiate program
// TODO(edgar): load from `cl_kernels` dir.
// std::ifstream cl_file("opencl_hello_world.cl");
std::ifstream cl_file(layer.kernel_file());
std::string program_tail{std::istreambuf_iterator<char>(cl_file),
std::istreambuf_iterator<char>()};
// fixed kernel params
std::string program_head =
std::string("#define Dtype float\n") +
std::string("#define Dtype4 float4\n") +
std::string("#define int_tp int\n") +
std::string("#define CONCAT(A,B) A##_##B\n") +
std::string("#define TEMPLATE(name,type) CONCAT(name,type)\n");
// per layer params
program_head += layer.kernel_header();
std::cout << layer.kernel_header() << std::endl;
std::string program_string = std::string{program_head} + std::string{program_tail};
auto program = CLCudaAPI::Program(context_, std::move(program_string));
*/
/*
* Builds this program and checks for any compilation errors.
* If there are any, they are printed and execution is halted.
*/
/* nn_info("Compiling the kernel ...");
auto compiler_options = std::vector<std::string>{};
auto build_status = program.Build(device_, compiler_options);
if (build_status != CLCudaAPI::BuildStatus::kSuccess) {
auto message = program.GetBuildInfo(device_);
//throw nn_error("Compiler error(s)/warning(s) found: " +
// to_string(message.c_str()));
nn_warn("Compiler error(s)/warning(s) found: " +
to_string(message.c_str()));
return;
}
nn_info("Compiling the kernel ... OK");
// Kernel compilation succeed: Register program.
programs_.insert({ key_program, program });
*/
#endif // USE_OPENCL OR USE_CUDA
}
// Returns the number of registered programs
serial_size_t num_programs() const {
#if defined(USE_OPENCL) || defined(USE_CUDA)
return programs_.size();
#else
return serial_size_t(0);
#endif
}
// Returns a CLCudaProgram given a key Program
// based on internal device and op.
#if defined(USE_OPENCL) || defined(USE_CUDA)
CLCudaAPI::Program program(const Program& program) {
auto p = programs_.find(program);
if (p == programs_.end()) {
throw nn_error("Cannot retrieve program.");
}
return p->second;
}
#endif
// Removes the current programs from the general state
void reset() {
#if defined(USE_OPENCL) || defined(USE_CUDA)
programs_.clear();
#endif
}
protected:
ProgramManager() = default;
ProgramManager(const ProgramManager&) = delete;
ProgramManager& operator=(const ProgramManager&) = delete;
#if defined(USE_OPENCL) || defined(USE_CUDA)
/* Container holding compiled kernels */
std::unordered_map<Program, CLCudaAPI::Program, ProgramHash> programs_;
#endif
};
} // namespace tiny_dnn
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