2016-01-13 15:25:58 +02:00
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/*
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2016-02-24 17:23:16 +02:00
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* This file is part of FFmpeg.
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2016-01-13 15:25:58 +02:00
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*
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2016-02-24 17:23:16 +02:00
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* FFmpeg is free software; you can redistribute it and/or
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2016-01-13 15:25:58 +02:00
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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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2016-02-24 17:23:16 +02:00
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* FFmpeg is distributed in the hope that it will be useful,
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2016-01-13 15:25:58 +02:00
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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 GNU
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* 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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2016-02-24 17:23:16 +02:00
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* License along with FFmpeg; if not, write to the Free Software
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2016-01-13 15:25:58 +02:00
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include "buffer.h"
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#include "common.h"
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#include "hwcontext.h"
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#include "hwcontext_internal.h"
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2016-10-10 12:52:40 +02:00
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#include "hwcontext_cuda_internal.h"
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2018-11-11 08:47:28 +02:00
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#include "cuda_check.h"
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2016-01-13 15:25:58 +02:00
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#include "mem.h"
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#include "pixdesc.h"
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#include "pixfmt.h"
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2018-05-09 21:18:15 +02:00
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#include "imgutils.h"
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2016-01-13 15:25:58 +02:00
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2016-10-01 18:57:44 +02:00
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#define CUDA_FRAME_ALIGNMENT 256
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2016-01-13 15:25:58 +02:00
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typedef struct CUDAFramesContext {
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int shift_width, shift_height;
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} CUDAFramesContext;
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static const enum AVPixelFormat supported_formats[] = {
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AV_PIX_FMT_NV12,
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AV_PIX_FMT_YUV420P,
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AV_PIX_FMT_YUV444P,
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2016-11-22 18:18:31 +02:00
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AV_PIX_FMT_P010,
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AV_PIX_FMT_P016,
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2017-07-18 13:05:53 +02:00
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AV_PIX_FMT_YUV444P16,
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2018-05-09 18:59:05 +02:00
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AV_PIX_FMT_0RGB32,
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AV_PIX_FMT_0BGR32,
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2016-01-13 15:25:58 +02:00
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};
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2018-11-11 08:47:28 +02:00
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#define CHECK_CU(x) FF_CUDA_CHECK_DL(device_ctx, cu, x)
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2017-01-16 17:43:13 +02:00
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static int cuda_frames_get_constraints(AVHWDeviceContext *ctx,
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const void *hwconfig,
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AVHWFramesConstraints *constraints)
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{
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int i;
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constraints->valid_sw_formats = av_malloc_array(FF_ARRAY_ELEMS(supported_formats) + 1,
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sizeof(*constraints->valid_sw_formats));
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if (!constraints->valid_sw_formats)
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return AVERROR(ENOMEM);
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for (i = 0; i < FF_ARRAY_ELEMS(supported_formats); i++)
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constraints->valid_sw_formats[i] = supported_formats[i];
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constraints->valid_sw_formats[FF_ARRAY_ELEMS(supported_formats)] = AV_PIX_FMT_NONE;
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constraints->valid_hw_formats = av_malloc_array(2, sizeof(*constraints->valid_hw_formats));
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if (!constraints->valid_hw_formats)
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return AVERROR(ENOMEM);
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constraints->valid_hw_formats[0] = AV_PIX_FMT_CUDA;
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constraints->valid_hw_formats[1] = AV_PIX_FMT_NONE;
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return 0;
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}
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2016-01-13 15:25:58 +02:00
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static void cuda_buffer_free(void *opaque, uint8_t *data)
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{
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2018-11-11 08:47:28 +02:00
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AVHWFramesContext *ctx = opaque;
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AVHWDeviceContext *device_ctx = ctx->device_ctx;
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AVCUDADeviceContext *hwctx = device_ctx->hwctx;
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CudaFunctions *cu = hwctx->internal->cuda_dl;
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2016-01-13 15:25:58 +02:00
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CUcontext dummy;
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2018-11-11 08:47:28 +02:00
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CHECK_CU(cu->cuCtxPushCurrent(hwctx->cuda_ctx));
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2016-01-13 15:25:58 +02:00
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2018-11-11 08:47:28 +02:00
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CHECK_CU(cu->cuMemFree((CUdeviceptr)data));
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2016-01-13 15:25:58 +02:00
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2018-11-11 08:47:28 +02:00
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CHECK_CU(cu->cuCtxPopCurrent(&dummy));
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2016-01-13 15:25:58 +02:00
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}
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static AVBufferRef *cuda_pool_alloc(void *opaque, int size)
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{
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2018-11-11 08:47:28 +02:00
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AVHWFramesContext *ctx = opaque;
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AVHWDeviceContext *device_ctx = ctx->device_ctx;
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AVCUDADeviceContext *hwctx = device_ctx->hwctx;
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CudaFunctions *cu = hwctx->internal->cuda_dl;
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2016-01-13 15:25:58 +02:00
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AVBufferRef *ret = NULL;
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CUcontext dummy = NULL;
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CUdeviceptr data;
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2018-11-11 08:47:28 +02:00
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int err;
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2016-01-13 15:25:58 +02:00
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2018-11-11 08:47:28 +02:00
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err = CHECK_CU(cu->cuCtxPushCurrent(hwctx->cuda_ctx));
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if (err < 0)
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2016-01-13 15:25:58 +02:00
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return NULL;
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2018-11-11 08:47:28 +02:00
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err = CHECK_CU(cu->cuMemAlloc(&data, size));
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if (err < 0)
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2016-01-13 15:25:58 +02:00
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goto fail;
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ret = av_buffer_create((uint8_t*)data, size, cuda_buffer_free, ctx, 0);
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if (!ret) {
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2018-11-11 08:47:28 +02:00
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CHECK_CU(cu->cuMemFree(data));
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2016-01-13 15:25:58 +02:00
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goto fail;
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}
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fail:
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2018-11-11 08:47:28 +02:00
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CHECK_CU(cu->cuCtxPopCurrent(&dummy));
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2016-01-13 15:25:58 +02:00
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return ret;
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}
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static int cuda_frames_init(AVHWFramesContext *ctx)
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{
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CUDAFramesContext *priv = ctx->internal->priv;
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int i;
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for (i = 0; i < FF_ARRAY_ELEMS(supported_formats); i++) {
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if (ctx->sw_format == supported_formats[i])
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break;
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}
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if (i == FF_ARRAY_ELEMS(supported_formats)) {
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av_log(ctx, AV_LOG_ERROR, "Pixel format '%s' is not supported\n",
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av_get_pix_fmt_name(ctx->sw_format));
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return AVERROR(ENOSYS);
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}
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av_pix_fmt_get_chroma_sub_sample(ctx->sw_format, &priv->shift_width, &priv->shift_height);
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if (!ctx->pool) {
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2018-05-09 21:18:15 +02:00
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int size = av_image_get_buffer_size(ctx->sw_format, ctx->width, ctx->height, CUDA_FRAME_ALIGNMENT);
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if (size < 0)
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return size;
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2016-01-13 15:25:58 +02:00
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ctx->internal->pool_internal = av_buffer_pool_init2(size, ctx, cuda_pool_alloc, NULL);
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if (!ctx->internal->pool_internal)
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return AVERROR(ENOMEM);
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}
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return 0;
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}
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static int cuda_get_buffer(AVHWFramesContext *ctx, AVFrame *frame)
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{
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2018-05-09 21:18:15 +02:00
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int res;
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2016-10-01 18:57:44 +02:00
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2016-01-13 15:25:58 +02:00
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frame->buf[0] = av_buffer_pool_get(ctx->pool);
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if (!frame->buf[0])
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return AVERROR(ENOMEM);
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2018-05-09 21:18:15 +02:00
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res = av_image_fill_arrays(frame->data, frame->linesize, frame->buf[0]->data,
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ctx->sw_format, ctx->width, ctx->height, CUDA_FRAME_ALIGNMENT);
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if (res < 0)
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return res;
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// YUV420P is a special case.
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2018-05-14 23:24:43 +02:00
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// Nvenc expects the U/V planes in swapped order from how ffmpeg expects them, also chroma is half-aligned
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2018-05-09 21:18:15 +02:00
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if (ctx->sw_format == AV_PIX_FMT_YUV420P) {
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2018-05-14 23:24:43 +02:00
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frame->linesize[1] = frame->linesize[2] = frame->linesize[0] / 2;
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frame->data[2] = frame->data[1];
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frame->data[1] = frame->data[2] + frame->linesize[2] * ctx->height / 2;
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2016-01-13 15:25:58 +02:00
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}
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frame->format = AV_PIX_FMT_CUDA;
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frame->width = ctx->width;
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frame->height = ctx->height;
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return 0;
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}
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static int cuda_transfer_get_formats(AVHWFramesContext *ctx,
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enum AVHWFrameTransferDirection dir,
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enum AVPixelFormat **formats)
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{
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enum AVPixelFormat *fmts;
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fmts = av_malloc_array(2, sizeof(*fmts));
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if (!fmts)
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return AVERROR(ENOMEM);
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fmts[0] = ctx->sw_format;
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fmts[1] = AV_PIX_FMT_NONE;
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*formats = fmts;
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return 0;
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}
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static int cuda_transfer_data_from(AVHWFramesContext *ctx, AVFrame *dst,
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const AVFrame *src)
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{
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2018-11-11 08:47:28 +02:00
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CUDAFramesContext *priv = ctx->internal->priv;
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AVHWDeviceContext *device_ctx = ctx->device_ctx;
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AVCUDADeviceContext *hwctx = device_ctx->hwctx;
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CudaFunctions *cu = hwctx->internal->cuda_dl;
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2016-01-13 15:25:58 +02:00
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CUcontext dummy;
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2018-11-11 08:47:28 +02:00
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int i, ret;
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2016-01-13 15:25:58 +02:00
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2018-11-11 08:47:28 +02:00
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ret = CHECK_CU(cu->cuCtxPushCurrent(hwctx->cuda_ctx));
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if (ret < 0)
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return ret;
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2016-01-13 15:25:58 +02:00
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for (i = 0; i < FF_ARRAY_ELEMS(src->data) && src->data[i]; i++) {
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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)src->data[i],
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.dstHost = dst->data[i],
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.srcPitch = src->linesize[i],
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.dstPitch = dst->linesize[i],
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.WidthInBytes = FFMIN(src->linesize[i], dst->linesize[i]),
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.Height = src->height >> (i ? priv->shift_height : 0),
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};
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2018-11-11 08:47:28 +02:00
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ret = CHECK_CU(cu->cuMemcpy2DAsync(&cpy, hwctx->stream));
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if (ret < 0)
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goto exit;
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2016-01-13 15:25:58 +02:00
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}
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2018-11-11 08:47:28 +02:00
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ret = CHECK_CU(cu->cuStreamSynchronize(hwctx->stream));
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if (ret < 0)
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goto exit;
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2018-05-08 12:12:01 +02:00
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2018-11-11 08:47:28 +02:00
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exit:
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CHECK_CU(cu->cuCtxPopCurrent(&dummy));
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2016-01-13 15:25:58 +02:00
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return 0;
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}
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static int cuda_transfer_data_to(AVHWFramesContext *ctx, AVFrame *dst,
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const AVFrame *src)
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{
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2018-11-11 08:47:28 +02:00
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CUDAFramesContext *priv = ctx->internal->priv;
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AVHWDeviceContext *device_ctx = ctx->device_ctx;
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AVCUDADeviceContext *hwctx = device_ctx->hwctx;
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CudaFunctions *cu = hwctx->internal->cuda_dl;
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2016-01-13 15:25:58 +02:00
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CUcontext dummy;
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2018-11-11 08:47:28 +02:00
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int i, ret;
|
2016-01-13 15:25:58 +02:00
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2018-11-11 08:47:28 +02:00
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ret = CHECK_CU(cu->cuCtxPushCurrent(hwctx->cuda_ctx));
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if (ret < 0)
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return ret;
|
2016-01-13 15:25:58 +02:00
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for (i = 0; i < FF_ARRAY_ELEMS(src->data) && src->data[i]; i++) {
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CUDA_MEMCPY2D cpy = {
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.srcMemoryType = CU_MEMORYTYPE_HOST,
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.dstMemoryType = CU_MEMORYTYPE_DEVICE,
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.srcHost = src->data[i],
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.dstDevice = (CUdeviceptr)dst->data[i],
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.srcPitch = src->linesize[i],
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.dstPitch = dst->linesize[i],
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.WidthInBytes = FFMIN(src->linesize[i], dst->linesize[i]),
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.Height = src->height >> (i ? priv->shift_height : 0),
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};
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2018-11-11 08:47:28 +02:00
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ret = CHECK_CU(cu->cuMemcpy2DAsync(&cpy, hwctx->stream));
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if (ret < 0)
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goto exit;
|
2016-01-13 15:25:58 +02:00
|
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}
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|
2018-11-11 08:47:28 +02:00
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ret = CHECK_CU(cu->cuStreamSynchronize(hwctx->stream));
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if (ret < 0)
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goto exit;
|
2018-05-08 12:12:01 +02:00
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2018-11-11 08:47:28 +02:00
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exit:
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CHECK_CU(cu->cuCtxPopCurrent(&dummy));
|
2016-01-13 15:25:58 +02:00
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return 0;
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}
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|
2018-11-11 08:47:28 +02:00
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static void cuda_device_uninit(AVHWDeviceContext *device_ctx)
|
2016-05-19 19:19:20 +02:00
|
|
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{
|
2018-11-11 08:47:28 +02:00
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AVCUDADeviceContext *hwctx = device_ctx->hwctx;
|
2016-10-10 12:52:40 +02:00
|
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|
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if (hwctx->internal) {
|
2018-11-11 08:47:28 +02:00
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CudaFunctions *cu = hwctx->internal->cuda_dl;
|
2016-10-10 12:52:40 +02:00
|
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if (hwctx->internal->is_allocated && hwctx->cuda_ctx) {
|
2018-11-11 08:47:28 +02:00
|
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CHECK_CU(cu->cuCtxDestroy(hwctx->cuda_ctx));
|
2016-10-10 12:52:40 +02:00
|
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hwctx->cuda_ctx = NULL;
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}
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|
cuda_free_functions(&hwctx->internal->cuda_dl);
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}
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av_freep(&hwctx->internal);
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}
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|
|
static int cuda_device_init(AVHWDeviceContext *ctx)
|
|
|
|
{
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|
AVCUDADeviceContext *hwctx = ctx->hwctx;
|
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|
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int ret;
|
|
|
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|
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|
|
if (!hwctx->internal) {
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|
|
hwctx->internal = av_mallocz(sizeof(*hwctx->internal));
|
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|
|
if (!hwctx->internal)
|
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|
|
return AVERROR(ENOMEM);
|
|
|
|
}
|
|
|
|
|
|
|
|
if (!hwctx->internal->cuda_dl) {
|
2017-11-18 19:16:14 +02:00
|
|
|
ret = cuda_load_functions(&hwctx->internal->cuda_dl, ctx);
|
2016-10-10 12:52:40 +02:00
|
|
|
if (ret < 0) {
|
|
|
|
av_log(ctx, AV_LOG_ERROR, "Could not dynamically load CUDA\n");
|
|
|
|
goto error;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return 0;
|
|
|
|
|
|
|
|
error:
|
|
|
|
cuda_device_uninit(ctx);
|
|
|
|
return ret;
|
2016-05-19 19:19:20 +02:00
|
|
|
}
|
|
|
|
|
2018-11-11 08:47:28 +02:00
|
|
|
static int cuda_device_create(AVHWDeviceContext *device_ctx,
|
|
|
|
const char *device,
|
2016-05-19 19:19:20 +02:00
|
|
|
AVDictionary *opts, int flags)
|
|
|
|
{
|
2018-11-11 08:47:28 +02:00
|
|
|
AVCUDADeviceContext *hwctx = device_ctx->hwctx;
|
2016-10-10 12:52:40 +02:00
|
|
|
CudaFunctions *cu;
|
2016-05-19 19:19:20 +02:00
|
|
|
CUdevice cu_device;
|
|
|
|
CUcontext dummy;
|
2018-11-11 08:47:28 +02:00
|
|
|
int ret, device_idx = 0;
|
2016-05-19 19:19:20 +02:00
|
|
|
|
|
|
|
if (device)
|
|
|
|
device_idx = strtol(device, NULL, 0);
|
|
|
|
|
2018-11-11 08:47:28 +02:00
|
|
|
if (cuda_device_init(device_ctx) < 0)
|
2016-10-10 12:52:40 +02:00
|
|
|
goto error;
|
|
|
|
|
|
|
|
cu = hwctx->internal->cuda_dl;
|
|
|
|
|
2018-11-11 08:47:28 +02:00
|
|
|
ret = CHECK_CU(cu->cuInit(0));
|
|
|
|
if (ret < 0)
|
2016-10-10 12:52:40 +02:00
|
|
|
goto error;
|
2016-05-19 19:19:20 +02:00
|
|
|
|
2018-11-11 08:47:28 +02:00
|
|
|
ret = CHECK_CU(cu->cuDeviceGet(&cu_device, device_idx));
|
|
|
|
if (ret < 0)
|
2016-10-10 12:52:40 +02:00
|
|
|
goto error;
|
2016-05-19 19:19:20 +02:00
|
|
|
|
2018-11-11 08:47:28 +02:00
|
|
|
ret = CHECK_CU(cu->cuCtxCreate(&hwctx->cuda_ctx, CU_CTX_SCHED_BLOCKING_SYNC, cu_device));
|
|
|
|
if (ret < 0)
|
2016-10-10 12:52:40 +02:00
|
|
|
goto error;
|
2016-05-19 19:19:20 +02:00
|
|
|
|
2018-05-07 15:01:22 +02:00
|
|
|
// Setting stream to NULL will make functions automatically use the default CUstream
|
|
|
|
hwctx->stream = NULL;
|
|
|
|
|
2018-11-11 08:47:28 +02:00
|
|
|
CHECK_CU(cu->cuCtxPopCurrent(&dummy));
|
2016-05-19 19:19:20 +02:00
|
|
|
|
2016-10-10 12:52:40 +02:00
|
|
|
hwctx->internal->is_allocated = 1;
|
2016-05-19 19:19:20 +02:00
|
|
|
|
|
|
|
return 0;
|
2016-10-10 12:52:40 +02:00
|
|
|
|
|
|
|
error:
|
2018-11-11 08:47:28 +02:00
|
|
|
cuda_device_uninit(device_ctx);
|
2016-10-10 12:52:40 +02:00
|
|
|
return AVERROR_UNKNOWN;
|
2016-05-19 19:19:20 +02:00
|
|
|
}
|
|
|
|
|
2016-01-13 15:25:58 +02:00
|
|
|
const HWContextType ff_hwcontext_type_cuda = {
|
|
|
|
.type = AV_HWDEVICE_TYPE_CUDA,
|
|
|
|
.name = "CUDA",
|
|
|
|
|
|
|
|
.device_hwctx_size = sizeof(AVCUDADeviceContext),
|
|
|
|
.frames_priv_size = sizeof(CUDAFramesContext),
|
|
|
|
|
2016-05-19 19:19:20 +02:00
|
|
|
.device_create = cuda_device_create,
|
2016-10-10 12:52:40 +02:00
|
|
|
.device_init = cuda_device_init,
|
|
|
|
.device_uninit = cuda_device_uninit,
|
2017-01-16 17:43:13 +02:00
|
|
|
.frames_get_constraints = cuda_frames_get_constraints,
|
2016-01-13 15:25:58 +02:00
|
|
|
.frames_init = cuda_frames_init,
|
|
|
|
.frames_get_buffer = cuda_get_buffer,
|
|
|
|
.transfer_get_formats = cuda_transfer_get_formats,
|
|
|
|
.transfer_data_to = cuda_transfer_data_to,
|
|
|
|
.transfer_data_from = cuda_transfer_data_from,
|
|
|
|
|
|
|
|
.pix_fmts = (const enum AVPixelFormat[]){ AV_PIX_FMT_CUDA, AV_PIX_FMT_NONE },
|
|
|
|
};
|