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mpv/video/out/opengl/hwdec_cuda.c
Philip Langdale 343da8d73d vo_opengl: hwdec_cuda: get the cuda device from the GL context
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.
2016-09-24 17:11:09 +02:00

305 lines
8.6 KiB
C

/*
* Copyright (c) 2016 Philip Langdale <philipl@overt.org>
*
* This file is part of mpv.
*
* mpv is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* mpv 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with mpv. If not, see <http://www.gnu.org/licenses/>.
*/
/*
* This hwdec implements an optimized output path using CUDA->OpenGL
* interop for frame data that is stored in CUDA device memory.
* Although it is not explicit in the code here, the only practical way
* to get data in this form is from the 'cuvid' decoder (aka NvDecode).
*
* For now, cuvid/NvDecode will always return images in NV12 format, even
* when decoding 10bit streams (there is some hardware dithering going on).
*/
#include <libavutil/hwcontext.h>
#include <libavutil/hwcontext_cuda.h>
#include "video/mp_image_pool.h"
#include "hwdec.h"
#include "video.h"
#include <cudaGL.h>
struct priv {
struct mp_hwdec_ctx hwctx;
struct mp_image layout;
GLuint gl_textures[2];
CUgraphicsResource cu_res[2];
CUarray cu_array[2];
bool mapped;
CUcontext cuda_ctx;
};
static int check_cu(struct gl_hwdec *hw, CUresult err, const char *func)
{
const char *err_name;
const char *err_string;
MP_TRACE(hw, "Calling %s\n", func);
if (err == CUDA_SUCCESS)
return 0;
cuGetErrorName(err, &err_name);
cuGetErrorString(err, &err_string);
MP_ERR(hw, "%s failed", func);
if (err_name && err_string)
MP_ERR(hw, " -> %s: %s", err_name, err_string);
MP_ERR(hw, "\n");
return -1;
}
#define CHECK_CU(x) check_cu(hw, (x), #x)
static struct mp_image *cuda_download_image(struct mp_hwdec_ctx *ctx,
struct mp_image *hw_image,
struct mp_image_pool *swpool)
{
CUcontext cuda_ctx = ctx->ctx;
CUcontext dummy;
CUresult err, eerr;
if (hw_image->imgfmt != IMGFMT_CUDA)
return NULL;
struct mp_image *out = mp_image_pool_get(swpool, IMGFMT_NV12,
hw_image->w, hw_image->h);
if (!out)
return NULL;
err = cuCtxPushCurrent(cuda_ctx);
if (err != CUDA_SUCCESS)
goto error;
mp_image_set_size(out, hw_image->w, hw_image->h);
mp_image_copy_attributes(out, hw_image);
for (int n = 0; n < 2; n++) {
CUDA_MEMCPY2D cpy = {
.srcMemoryType = CU_MEMORYTYPE_DEVICE,
.dstMemoryType = CU_MEMORYTYPE_HOST,
.srcDevice = (CUdeviceptr)hw_image->planes[n],
.dstHost = out->planes[n],
.srcPitch = hw_image->stride[n],
.dstPitch = out->stride[n],
.WidthInBytes = mp_image_plane_w(out, n) * (n + 1),
.Height = mp_image_plane_h(out, n),
};
err = cuMemcpy2D(&cpy);
if (err != CUDA_SUCCESS) {
goto error;
}
}
error:
eerr = cuCtxPopCurrent(&dummy);
if (eerr != CUDA_SUCCESS || err != CUDA_SUCCESS) {
talloc_free(out);
return NULL;
}
return out;
}
static int cuda_create(struct gl_hwdec *hw)
{
CUdevice device;
CUcontext cuda_ctx = NULL;
CUcontext dummy;
unsigned int device_count;
int ret = 0, eret = 0;
if (hw->gl->version < 210 && hw->gl->es < 300) {
MP_ERR(hw, "need OpenGL >= 2.1 or OpenGL-ES >= 3.0\n");
return -1;
}
struct priv *p = talloc_zero(hw, struct priv);
hw->priv = p;
ret = CHECK_CU(cuInit(0));
if (ret < 0)
goto error;
ret = CHECK_CU(cuGLGetDevices(&device_count, &device, 1,
CU_GL_DEVICE_LIST_ALL));
if (ret < 0)
goto error;
ret = CHECK_CU(cuCtxCreate(&cuda_ctx, CU_CTX_SCHED_BLOCKING_SYNC, device));
if (ret < 0)
goto error;
p->cuda_ctx = cuda_ctx;
p->hwctx = (struct mp_hwdec_ctx) {
.type = HWDEC_CUDA,
.ctx = cuda_ctx,
.download_image = cuda_download_image,
};
p->hwctx.driver_name = hw->driver->name;
hwdec_devices_add(hw->devs, &p->hwctx);
error:
eret = CHECK_CU(cuCtxPopCurrent(&dummy));
if (eret < 0)
return eret;
return ret;
}
static int reinit(struct gl_hwdec *hw, struct mp_image_params *params)
{
struct priv *p = hw->priv;
GL *gl = hw->gl;
CUcontext dummy;
int ret = 0, eret = 0;
assert(params->imgfmt == hw->driver->imgfmt);
params->imgfmt = IMGFMT_NV12;
params->hw_subfmt = 0;
mp_image_set_params(&p->layout, params);
ret = CHECK_CU(cuCtxPushCurrent(p->cuda_ctx));
if (ret < 0)
return ret;
gl->GenTextures(2, p->gl_textures);
for (int n = 0; n < 2; n++) {
gl->BindTexture(GL_TEXTURE_2D, p->gl_textures[n]);
GLenum filter = GL_NEAREST;
gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, filter);
gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, filter);
gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP_TO_EDGE);
gl->TexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP_TO_EDGE);
gl->TexImage2D(GL_TEXTURE_2D, 0, n == 0 ? GL_R8 : GL_RG8,
mp_image_plane_w(&p->layout, n),
mp_image_plane_h(&p->layout, n),
0, n == 0 ? GL_RED : GL_RG, GL_UNSIGNED_BYTE, NULL);
gl->BindTexture(GL_TEXTURE_2D, 0);
ret = CHECK_CU(cuGraphicsGLRegisterImage(&p->cu_res[n], p->gl_textures[n],
GL_TEXTURE_2D,
CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD));
if (ret < 0)
goto error;
ret = CHECK_CU(cuGraphicsMapResources(1, &p->cu_res[n], 0));
if (ret < 0)
goto error;
ret = CHECK_CU(cuGraphicsSubResourceGetMappedArray(&p->cu_array[n], p->cu_res[n],
0, 0));
if (ret < 0)
goto error;
ret = CHECK_CU(cuGraphicsUnmapResources(1, &p->cu_res[n], 0));
if (ret < 0)
goto error;
}
error:
eret = CHECK_CU(cuCtxPopCurrent(&dummy));
if (eret < 0)
return eret;
return ret;
}
static void destroy(struct gl_hwdec *hw)
{
struct priv *p = hw->priv;
GL *gl = hw->gl;
CUcontext dummy;
// Don't bail if any CUDA calls fail. This is all best effort.
CHECK_CU(cuCtxPushCurrent(p->cuda_ctx));
for (int n = 0; n < 2; n++) {
if (p->cu_res[n] > 0)
CHECK_CU(cuGraphicsUnregisterResource(p->cu_res[n]));
}
CHECK_CU(cuCtxPopCurrent(&dummy));
gl->DeleteTextures(2, p->gl_textures);
hwdec_devices_remove(hw->devs, &p->hwctx);
}
static int map_frame(struct gl_hwdec *hw, struct mp_image *hw_image,
struct gl_hwdec_frame *out_frame)
{
struct priv *p = hw->priv;
CUcontext dummy;
int ret = 0, eret = 0;
ret = CHECK_CU(cuCtxPushCurrent(p->cuda_ctx));
if (ret < 0)
return ret;
*out_frame = (struct gl_hwdec_frame) { 0, };
for (int n = 0; n < 2; n++) {
// widthInBytes must account for the chroma plane
// elements being two bytes wide.
CUDA_MEMCPY2D cpy = {
.srcMemoryType = CU_MEMORYTYPE_DEVICE,
.dstMemoryType = CU_MEMORYTYPE_ARRAY,
.srcDevice = (CUdeviceptr)hw_image->planes[n],
.srcPitch = hw_image->stride[n],
.srcY = 0,
.dstArray = p->cu_array[n],
.WidthInBytes = mp_image_plane_w(&p->layout, n) * (n + 1),
.Height = mp_image_plane_h(&p->layout, n),
};
ret = CHECK_CU(cuMemcpy2D(&cpy));
if (ret < 0)
goto error;
out_frame->planes[n] = (struct gl_hwdec_plane){
.gl_texture = p->gl_textures[n],
.gl_target = GL_TEXTURE_2D,
.tex_w = mp_image_plane_w(&p->layout, n),
.tex_h = mp_image_plane_h(&p->layout, n),
};
}
error:
eret = CHECK_CU(cuCtxPopCurrent(&dummy));
if (eret < 0)
return eret;
return ret;
}
const struct gl_hwdec_driver gl_hwdec_cuda = {
.name = "cuda",
.api = HWDEC_CUDA,
.imgfmt = IMGFMT_CUDA,
.create = cuda_create,
.reinit = reinit,
.map_frame = map_frame,
.destroy = destroy,
};