+++ /dev/null
-/*
- Copyright (C) 2022 Carl Hetherington <cth@carlh.net>
-
- This file is part of DCP-o-matic.
-
- DCP-o-matic is free software; you can redistribute it and/or modify
- it under the terms of the GNU General Public License as published by
- the Free Software Foundation; either version 2 of the License, or
- (at your option) any later version.
-
- DCP-o-matic is distributed in the hope that it will be useful,
- but WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- GNU General Public License for more details.
-
- You should have received a copy of the GNU General Public License
- along with DCP-o-matic. If not, see <http://www.gnu.org/licenses/>.
-
-*/
-
-
-#include "cuda.h"
-#include "dcpomatic_assert.h"
-#include "exceptions.h"
-#include <dcp/openjpeg_image.h>
-#include <nvjpeg2k.h>
-
-
-using std::shared_ptr;
-
-
-CUDA* CUDA::_instance = nullptr;
-
-
-CUDA::CUDA()
-{
- _decode_thread = std::thread(std::bind(&CUDA::decode_thread, this));
-}
-
-
-void
-CUDA::decode_thread()
-{
- nvjpeg2kHandle_t handle;
- auto status = nvjpeg2kCreateSimple(&handle);
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- throw CUDAError("nvjpeg2kCreateSimple", status);
- }
-
- nvjpeg2kDecodeState_t decode_state;
- status = nvjpeg2kDecodeStateCreate(handle, &decode_state);
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- throw CUDAError("nvjpeg2kDecodeStateCreate", status);
- }
-
- nvjpeg2kStream_t jpeg2k_stream;
- status = nvjpeg2kStreamCreate(&jpeg2k_stream);
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- throw CUDAError("nvjpeg2kStreamCreate", status);
- }
-
- while (true) {
- boost::mutex::scoped_lock lm(_decode_mutex);
- while (_decode_queue.empty()) {
- _decode_queue_empty_condition.wait(lm);
- }
-
- auto input = std::move(_decode_queue.front());
- _decode_queue.pop();
- lm.unlock();
-
- try {
- std::cout << "we got " << input.data->size() << " bytes.\n";
- auto status = nvjpeg2kStreamParse(handle, input.data->data(), input.data->size(), 0, 0, jpeg2k_stream);
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- throw CUDAError("nvjpeg2kStreamParse", status);
- }
-
- nvjpeg2kImageInfo_t image_info;
- status = nvjpeg2kStreamGetImageInfo(jpeg2k_stream, &image_info);
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- throw CUDAError("nvjpeg2kStreamGetImageInfo", status);
- }
- std::cout << image_info.num_components << " components.\n";
-
- nvjpeg2kImageComponentInfo_t image_component_info[3];
- for (int i = 0; i < 3; ++i) {
- status = nvjpeg2kStreamGetImageComponentInfo(jpeg2k_stream, &image_component_info[i], i);
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- throw CUDAError("nvjpeg2kStreamGetImageComponentInfo", status);
- }
- }
-
- auto const width = image_component_info[0].component_width;
- auto const height = image_component_info[0].component_height;
- std::cout << width << "x" << height << " " << ((int)image_component_info[0].precision) << "\n";
-
- uint16_t* decoded_d[3];
- size_t pitch[3];
-
- for (int i = 0; i < 3; ++i) {
- printf("cudaMallocPitch %d %d\n", width * 2, height);
- auto status = cudaMallocPitch(reinterpret_cast<void**>(&decoded_d[i]), &pitch[i], width * 2, height);
- if (status != cudaSuccess) {
- throw CUDAError("cudaMallocPitch", status);
- }
- }
-
- nvjpeg2kImage_t output_image;
- output_image.pixel_data = reinterpret_cast<void**>(decoded_d);
- output_image.pixel_type = NVJPEG2K_UINT16;
- output_image.pitch_in_bytes = pitch;
- output_image.num_components = 3;
-
- status = nvjpeg2kDecode(handle, decode_state, jpeg2k_stream, &output_image, 0);
- std::cout << "decode said " << status << "\n";
- if (status != NVJPEG2K_STATUS_SUCCESS) {
- abort();
- throw CUDAError("nvjpeg2kDecode", status);
- }
- cudaDeviceSynchronize();
-
- std::vector<uint16_t> decoded_h[3];
- for (int i = 0; i < 3; ++i) {
- auto size = pitch[i] * height;
- decoded_h[i].resize(size / 2);
- auto status = cudaMemcpy(decoded_h[i].data(), decoded_d[i], size, cudaMemcpyDeviceToHost);
- if (status != cudaSuccess) {
- throw CUDAError("cudaMemcpy", status);
- }
- }
-
- auto output = std::make_shared<Image>(input.pixel_format, dcp::Size(width, height), input.alignment);
- int p = 0;
- for (size_t y = 0; y < height; ++y) {
- auto q = reinterpret_cast<uint16_t *>(output->data()[0] + y * output->stride()[0]);
- for (size_t x = 0; x < width; ++x) {
- *q++ = decoded_h[0][p] << 4;
- *q++ = decoded_h[1][p] << 4;
- *q++ = decoded_h[2][p] << 4;
- ++p;
- }
- }
-
- for (int i = 0; i < 3; ++i) {
- cudaFree(decoded_d[i]);
- }
-
- lm.lock();
- _decode_output[input.id] = output;
- _decode_complete_condition.notify_all();
- lm.unlock();
- } catch (CUDAError&) {
- lm.lock();
- _decode_output[input.id] = {};
- _decode_complete_condition.notify_all();
- lm.unlock();
- }
- }
-}
-
-
-shared_ptr<Image>
-CUDA::decode(shared_ptr<const dcp::Data> j2k_data, int reduce, AVPixelFormat pixel_format, Image::Alignment alignment)
-{
- boost::mutex::scoped_lock lm(_decode_mutex);
- auto id = _next_decode_id++;
- _decode_queue.push({id, j2k_data, reduce, pixel_format, alignment});
- _decode_queue_empty_condition.notify_all();
-
- while (_decode_output.find(id) == _decode_output.end()) {
- _decode_complete_condition.wait(lm);
- }
-
- auto iter = _decode_output.find(id);
- if (iter ==_decode_output.end()) {
- return {};
- }
-
- auto output = *iter;
- _decode_output.erase(iter);
- return output.second;
-}
-
-
-CUDA *
-CUDA::instance()
-{
- if (!_instance) {
- _instance = new CUDA();
- }
-
- return _instance;
-}
-
projects / dcpomatic.git / blobdiff