mirror of
https://github.com/mpv-player/mpv
synced 2024-11-14 22:48:35 +01:00
343da8d73d
Obviously, in the vast majority of cases, there's only one device in the system, but doing this means we're more likely to get a usable device in the multi-device case. cuda would support decoding on one device and displaying on another but the peer memory handling is not transparent and I have no way to test it so I can't really write it.
305 lines
8.6 KiB
C
305 lines
8.6 KiB
C
/*
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* Copyright (c) 2016 Philip Langdale <philipl@overt.org>
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*
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* This file is part of mpv.
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*
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* mpv is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* mpv is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with mpv. If not, see <http://www.gnu.org/licenses/>.
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*/
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/*
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* This hwdec implements an optimized output path using CUDA->OpenGL
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* interop for frame data that is stored in CUDA device memory.
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* Although it is not explicit in the code here, the only practical way
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* to get data in this form is from the 'cuvid' decoder (aka NvDecode).
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*
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* For now, cuvid/NvDecode will always return images in NV12 format, even
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* when decoding 10bit streams (there is some hardware dithering going on).
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*/
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#include <libavutil/hwcontext.h>
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#include <libavutil/hwcontext_cuda.h>
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#include "video/mp_image_pool.h"
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#include "hwdec.h"
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#include "video.h"
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#include <cudaGL.h>
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struct priv {
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struct mp_hwdec_ctx hwctx;
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struct mp_image layout;
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GLuint gl_textures[2];
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CUgraphicsResource cu_res[2];
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CUarray cu_array[2];
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bool mapped;
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CUcontext cuda_ctx;
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};
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static int check_cu(struct gl_hwdec *hw, CUresult err, const char *func)
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{
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const char *err_name;
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const char *err_string;
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MP_TRACE(hw, "Calling %s\n", func);
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if (err == CUDA_SUCCESS)
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return 0;
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cuGetErrorName(err, &err_name);
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cuGetErrorString(err, &err_string);
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MP_ERR(hw, "%s failed", func);
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if (err_name && err_string)
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MP_ERR(hw, " -> %s: %s", err_name, err_string);
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MP_ERR(hw, "\n");
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return -1;
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}
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#define CHECK_CU(x) check_cu(hw, (x), #x)
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static struct mp_image *cuda_download_image(struct mp_hwdec_ctx *ctx,
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struct mp_image *hw_image,
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struct mp_image_pool *swpool)
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{
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CUcontext cuda_ctx = ctx->ctx;
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CUcontext dummy;
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CUresult err, eerr;
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if (hw_image->imgfmt != IMGFMT_CUDA)
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return NULL;
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struct mp_image *out = mp_image_pool_get(swpool, IMGFMT_NV12,
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hw_image->w, hw_image->h);
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if (!out)
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return NULL;
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err = cuCtxPushCurrent(cuda_ctx);
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if (err != CUDA_SUCCESS)
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goto error;
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mp_image_set_size(out, hw_image->w, hw_image->h);
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mp_image_copy_attributes(out, hw_image);
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for (int n = 0; n < 2; n++) {
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CUDA_MEMCPY2D cpy = {
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.srcMemoryType = CU_MEMORYTYPE_DEVICE,
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.dstMemoryType = CU_MEMORYTYPE_HOST,
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.srcDevice = (CUdeviceptr)hw_image->planes[n],
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.dstHost = out->planes[n],
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.srcPitch = hw_image->stride[n],
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.dstPitch = out->stride[n],
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.WidthInBytes = mp_image_plane_w(out, n) * (n + 1),
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.Height = mp_image_plane_h(out, n),
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};
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err = cuMemcpy2D(&cpy);
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if (err != CUDA_SUCCESS) {
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goto error;
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}
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}
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error:
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eerr = cuCtxPopCurrent(&dummy);
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if (eerr != CUDA_SUCCESS || err != CUDA_SUCCESS) {
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talloc_free(out);
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return NULL;
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}
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return out;
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}
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static int cuda_create(struct gl_hwdec *hw)
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{
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CUdevice device;
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CUcontext cuda_ctx = NULL;
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CUcontext dummy;
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unsigned int device_count;
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int ret = 0, eret = 0;
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if (hw->gl->version < 210 && hw->gl->es < 300) {
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MP_ERR(hw, "need OpenGL >= 2.1 or OpenGL-ES >= 3.0\n");
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return -1;
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}
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struct priv *p = talloc_zero(hw, struct priv);
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hw->priv = p;
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ret = CHECK_CU(cuInit(0));
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if (ret < 0)
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goto error;
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ret = CHECK_CU(cuGLGetDevices(&device_count, &device, 1,
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CU_GL_DEVICE_LIST_ALL));
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if (ret < 0)
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goto error;
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ret = CHECK_CU(cuCtxCreate(&cuda_ctx, CU_CTX_SCHED_BLOCKING_SYNC, device));
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if (ret < 0)
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goto error;
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p->cuda_ctx = cuda_ctx;
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p->hwctx = (struct mp_hwdec_ctx) {
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.type = HWDEC_CUDA,
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.ctx = cuda_ctx,
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.download_image = cuda_download_image,
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};
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p->hwctx.driver_name = hw->driver->name;
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hwdec_devices_add(hw->devs, &p->hwctx);
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error:
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eret = CHECK_CU(cuCtxPopCurrent(&dummy));
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if (eret < 0)
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return eret;
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return ret;
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}
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static int reinit(struct gl_hwdec *hw, struct mp_image_params *params)
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{
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struct priv *p = hw->priv;
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GL *gl = hw->gl;
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CUcontext dummy;
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int ret = 0, eret = 0;
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assert(params->imgfmt == hw->driver->imgfmt);
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params->imgfmt = IMGFMT_NV12;
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params->hw_subfmt = 0;
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mp_image_set_params(&p->layout, params);
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ret = CHECK_CU(cuCtxPushCurrent(p->cuda_ctx));
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if (ret < 0)
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return ret;
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gl->GenTextures(2, p->gl_textures);
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for (int n = 0; n < 2; n++) {
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gl->BindTexture(GL_TEXTURE_2D, p->gl_textures[n]);
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GLenum filter = GL_NEAREST;
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gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, filter);
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gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, filter);
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gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
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gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
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gl->TexImage2D(GL_TEXTURE_2D, 0, n == 0 ? GL_R8 : GL_RG8,
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mp_image_plane_w(&p->layout, n),
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mp_image_plane_h(&p->layout, n),
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0, n == 0 ? GL_RED : GL_RG, GL_UNSIGNED_BYTE, NULL);
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gl->BindTexture(GL_TEXTURE_2D, 0);
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ret = CHECK_CU(cuGraphicsGLRegisterImage(&p->cu_res[n], p->gl_textures[n],
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GL_TEXTURE_2D,
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CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD));
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if (ret < 0)
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goto error;
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ret = CHECK_CU(cuGraphicsMapResources(1, &p->cu_res[n], 0));
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if (ret < 0)
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goto error;
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ret = CHECK_CU(cuGraphicsSubResourceGetMappedArray(&p->cu_array[n], p->cu_res[n],
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0, 0));
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if (ret < 0)
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goto error;
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ret = CHECK_CU(cuGraphicsUnmapResources(1, &p->cu_res[n], 0));
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if (ret < 0)
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goto error;
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}
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error:
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eret = CHECK_CU(cuCtxPopCurrent(&dummy));
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if (eret < 0)
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return eret;
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return ret;
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}
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static void destroy(struct gl_hwdec *hw)
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{
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struct priv *p = hw->priv;
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GL *gl = hw->gl;
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CUcontext dummy;
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// Don't bail if any CUDA calls fail. This is all best effort.
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CHECK_CU(cuCtxPushCurrent(p->cuda_ctx));
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for (int n = 0; n < 2; n++) {
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if (p->cu_res[n] > 0)
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CHECK_CU(cuGraphicsUnregisterResource(p->cu_res[n]));
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}
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CHECK_CU(cuCtxPopCurrent(&dummy));
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gl->DeleteTextures(2, p->gl_textures);
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hwdec_devices_remove(hw->devs, &p->hwctx);
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}
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static int map_frame(struct gl_hwdec *hw, struct mp_image *hw_image,
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struct gl_hwdec_frame *out_frame)
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{
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struct priv *p = hw->priv;
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CUcontext dummy;
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int ret = 0, eret = 0;
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ret = CHECK_CU(cuCtxPushCurrent(p->cuda_ctx));
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if (ret < 0)
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return ret;
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*out_frame = (struct gl_hwdec_frame) { 0, };
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for (int n = 0; n < 2; n++) {
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// widthInBytes must account for the chroma plane
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// elements being two bytes wide.
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CUDA_MEMCPY2D cpy = {
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.srcMemoryType = CU_MEMORYTYPE_DEVICE,
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.dstMemoryType = CU_MEMORYTYPE_ARRAY,
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.srcDevice = (CUdeviceptr)hw_image->planes[n],
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.srcPitch = hw_image->stride[n],
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.srcY = 0,
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.dstArray = p->cu_array[n],
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.WidthInBytes = mp_image_plane_w(&p->layout, n) * (n + 1),
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.Height = mp_image_plane_h(&p->layout, n),
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};
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ret = CHECK_CU(cuMemcpy2D(&cpy));
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if (ret < 0)
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goto error;
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out_frame->planes[n] = (struct gl_hwdec_plane){
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.gl_texture = p->gl_textures[n],
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.gl_target = GL_TEXTURE_2D,
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.tex_w = mp_image_plane_w(&p->layout, n),
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.tex_h = mp_image_plane_h(&p->layout, n),
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};
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}
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error:
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eret = CHECK_CU(cuCtxPopCurrent(&dummy));
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if (eret < 0)
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return eret;
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return ret;
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}
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const struct gl_hwdec_driver gl_hwdec_cuda = {
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.name = "cuda",
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.api = HWDEC_CUDA,
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.imgfmt = IMGFMT_CUDA,
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.create = cuda_create,
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.reinit = reinit,
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.map_frame = map_frame,
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.destroy = destroy,
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};
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