--- /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