gx
dcecd42de4
Snapshot FFmpeg n7.1 (release tag) с применённым patch'ем для cuframes input format. Используется как FFMPEG_REPO_OVERRIDE в NickM-27/FFmpeg-Builds fork для статической сборки patched binary под Frigate (Debian 12 / glibc 2.36). Apply changes: + libavformat/cuframesdec.c (новый — реализация демуксера) M libavformat/Makefile (CONFIG_CUFRAMES_DEMUXER target) M libavformat/allformats.c (extern declaration) M configure (--enable-libcuframes option + dep check) Patch source: https://git.goldix.org/gx/cuframes (filter/ffmpeg-7.1-cuframes-demuxer.patch) History сброшена (snapshot вместо fork) потому что upstream shallow clone не позволял push в gitea. Полная история FFmpeg — на github.com/FFmpeg/FFmpeg n7.1.
46 lines
1.9 KiB
Python
46 lines
1.9 KiB
Python
# Copyright (c) 2021
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#
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# This file is part of FFmpeg.
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#
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# FFmpeg 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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# FFmpeg 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 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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# License along with FFmpeg; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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# ==============================================================================
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# verified with Python 3.6.8 on CentOS 7.2
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import tensorflow as tf
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visible_device_list = '0' # use , separator for more GPUs like '0, 1'
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per_process_gpu_memory_fraction = 0.9 # avoid out of memory
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intra_op_parallelism_threads = 2 # default in tensorflow
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inter_op_parallelism_threads = 5 # default in tensorflow
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gpu_options = tf.compat.v1.GPUOptions(
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per_process_gpu_memory_fraction = per_process_gpu_memory_fraction,
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visible_device_list = visible_device_list,
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allow_growth = True)
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config = tf.compat.v1.ConfigProto(
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allow_soft_placement = True,
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log_device_placement = False,
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intra_op_parallelism_threads = intra_op_parallelism_threads,
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inter_op_parallelism_threads = inter_op_parallelism_threads,
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gpu_options = gpu_options)
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s = config.SerializeToString()
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# print(list(map(hex, s))) # print by json if need
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print('a serialized protobuf string for TF_SetConfig, note the byte order is in normal order.')
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b = ''.join(format(b,'02x') for b in s)
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print('0x%s' % b) # print by hex format
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