From c6950cf28c9b9e0f162883d6ee39ae3edf1620e9 Mon Sep 17 00:00:00 2001 From: Ahmad Sharif Date: Wed, 20 Nov 2024 12:58:00 -0800 Subject: [PATCH 1/4] WIP --- .../decoders/benchmark_decoders_library.py | 42 +- .../decoders/benchmark_readme_data.json | 791 +++++++++--------- benchmarks/decoders/generate_readme_data.py | 2 +- 3 files changed, 430 insertions(+), 405 deletions(-) diff --git a/benchmarks/decoders/benchmark_decoders_library.py b/benchmarks/decoders/benchmark_decoders_library.py index 0991c146..6e9e1f80 100644 --- a/benchmarks/decoders/benchmark_decoders_library.py +++ b/benchmarks/decoders/benchmark_decoders_library.py @@ -123,7 +123,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): def decode_and_transform(self, video_file, pts_list, height, width, device): self.torchvision.set_video_backend(self._backend) - reader = self.torchvision.io.VideoReader(video_file, "video") + reader = self.torchvision.io.VideoReader(video_file, "video", num_threads=1) frames = [] for pts in pts_list: reader.seek(pts) @@ -258,7 +258,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): class TorchCodecPublic(AbstractDecoder): def __init__(self, num_ffmpeg_threads=None, device="cpu"): - self._num_ffmpeg_threads = int(num_ffmpeg_threads) if num_ffmpeg_threads else 1 + self._num_ffmpeg_threads = num_ffmpeg_threads self._device = device from torchvision.transforms import v2 as transforms_v2 @@ -266,14 +266,20 @@ def __init__(self, num_ffmpeg_threads=None, device="cpu"): self.transforms_v2 = transforms_v2 def get_frames_from_video(self, video_file, pts_list): + num_ffmpeg_threads = ( + int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 0 + ) decoder = VideoDecoder( - video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device + video_file, num_ffmpeg_threads=num_ffmpeg_threads, device=self._device ) return decoder.get_frames_played_at(pts_list) def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + num_ffmpeg_threads = ( + int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 0 + ) decoder = VideoDecoder( - video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device + video_file, num_ffmpeg_threads=num_ffmpeg_threads, device=self._device ) frames = [] count = 0 @@ -285,8 +291,11 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): return frames def decode_and_transform(self, video_file, pts_list, height, width, device): + num_ffmpeg_threads = ( + int(self._num_ffmpeg_threads) if self._num_ffmpeg_threads else 1 + ) decoder = VideoDecoder( - video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device + video_file, num_ffmpeg_threads=num_ffmpeg_threads, device=self._device ) frames = decoder.get_frames_played_at(pts_list) frames = self.transforms_v2.functional.resize(frames.data, (height, width)) @@ -339,7 +348,9 @@ def __init__(self): def get_frames_from_video(self, video_file, pts_list): stream_reader = self.torchaudio.io.StreamReader(src=video_file) - stream_reader.add_basic_video_stream(frames_per_chunk=1) + stream_reader.add_basic_video_stream( + frames_per_chunk=1, decoder_option={"threads": "0"} + ) frames = [] for pts in pts_list: stream_reader.seek(pts) @@ -350,7 +361,9 @@ def get_frames_from_video(self, video_file, pts_list): def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): stream_reader = self.torchaudio.io.StreamReader(src=video_file) - stream_reader.add_basic_video_stream(frames_per_chunk=1) + stream_reader.add_basic_video_stream( + frames_per_chunk=1, decoder_option={"threads": "0"} + ) frames = [] frame_cnt = 0 for vframe in stream_reader.stream(): @@ -363,7 +376,9 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): def decode_and_transform(self, video_file, pts_list, height, width, device): stream_reader = self.torchaudio.io.StreamReader(src=video_file) - stream_reader.add_basic_video_stream(frames_per_chunk=1) + stream_reader.add_basic_video_stream( + frames_per_chunk=1, decoder_option={"threads": "1"} + ) frames = [] for pts in pts_list: stream_reader.seek(pts) @@ -626,7 +641,10 @@ def run_benchmarks( }, label=f"video={video_file_path} {metadata_label}", sub_label=decoder_name, - description=f"dataloader[threads={bp.num_threads},batch_size={bp.batch_size}] {num_samples} decode_and_transform()", + description=f"concurrent[threads={bp.num_threads},batch_size={bp.batch_size}] {num_samples} decode_and_transform()", + ) + print( + f"{decoder_name} concurrent[threads={bp.num_threads} batch_size={bp.batch_size}]" ) results.append( dataloader_result.blocked_autorange( @@ -639,7 +657,7 @@ def run_benchmarks( decoder_name, video_file_path, num_samples * dataloader_parameters.batch_parameters.batch_size, - f"dataloader[threads={bp.num_threads} batch_size={bp.batch_size}] {num_samples} x decode_and_transform()", + f"concurrent[threads={bp.num_threads} batch_size={bp.batch_size}] {num_samples} x decode_and_transform()", ) ) @@ -662,6 +680,7 @@ def run_benchmarks( sub_label=decoder_name, description=f"{kind} {num_samples} seek()+next()", ) + print(f"{decoder_name} {kind} {num_samples} seek()+next()") results.append( seeked_result.blocked_autorange(min_run_time=min_runtime_seconds) ) @@ -689,6 +708,7 @@ def run_benchmarks( sub_label=decoder_name, description=f"batch {kind} {num_samples} seek()+next()", ) + print(f"{decoder_name} batch {kind} {num_samples} seek()+next()") results.append( seeked_result.blocked_autorange( min_run_time=min_runtime_seconds @@ -716,6 +736,7 @@ def run_benchmarks( sub_label=decoder_name, description=f"{num_consecutive_nexts} next()", ) + print(f"{decoder_name} {num_consecutive_nexts} next()") results.append( consecutive_frames_result.blocked_autorange( min_run_time=min_runtime_seconds @@ -745,6 +766,7 @@ def run_benchmarks( sub_label=decoder_name, description=f"batch {num_consecutive_nexts} next()", ) + print(f"{decoder_name} batch {num_consecutive_nexts} next()") results.append( consecutive_frames_result.blocked_autorange( min_run_time=min_runtime_seconds diff --git a/benchmarks/decoders/benchmark_readme_data.json b/benchmarks/decoders/benchmark_readme_data.json index dd541167..3bfa1f18 100644 --- a/benchmarks/decoders/benchmark_readme_data.json +++ b/benchmarks/decoders/benchmark_readme_data.json @@ -1,394 +1,397 @@ -[ - { - "decoder": "torchcodec", - "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()", - "fps_median": 2.1909987258958803, - "fps_p25": 2.1909987258958803, - "fps_p75": 2.1909987258958803, - "frame_count": 500, - "iqr": 0.0, - "median": 228.2064311997965, - "type": "dataloader[threads=10,batch_size=50] 10 x decode_and_transform()", - "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4" - }, - { - "decoder": "torchcodec", - "description": "uniform 10 seek()+next()", - "fps_median": 0.22373366699708405, - "fps_p25": 0.22373366699708405, - "fps_p75": 0.22373366699708405, - "frame_count": 10, - "iqr": 0.0, - "median": 44.69600008893758, - "type": "10 x uniform seek()+next()", - "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4" - }, - { - "decoder": "torchcodec", - "description": "random 10 seek()+next()", - "fps_median": 0.2870396511009182, - "fps_p25": 0.2870396511009182, - "fps_p75": 0.2870396511009182, - "frame_count": 10, - "iqr": 0.0, - "median": 34.83839240204543, - "type": "10 x random seek()+next()", - "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4" - }, - { - "decoder": "torchcodec", - "description": "100 next()", - "fps_median": 79.89466672412033, - "fps_p25": 99.18266043890266, - "fps_p75": 79.07153270302595, - "frame_count": 100, - "iqr": 0.2564368974417448, - "median": 1.2516480023041368, - "type": "100 next()", - "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4" - }, - { - "decoder": "torchcodec[cuda]", - "description": "dataloader[threads=10,batch_size=50] 10 decode_and_transform()", - "fps_median": 7.324784294018666, - "fps_p25": 7.324784294018666, - "fps_p75": 7.324784294018666, - "frame_count": 500, - "iqr": 0.0, - "median": 68.26139582134783, - "type": "dataloader[threads=10,batch_size=50] 10 x decode_and_transform()", - "video": "/tmp/torchcodec_benchmarking_videos/mandelbrot_1920x1080_120s_60fps_600gop_libx264_yuv420p.mp4" - }, - { - "decoder": "torchcodec[cuda]", - "description": "uniform 10 seek()+next()", - "fps_median": 1.232367350732705, - "fps_p25": 1.233843742370965, - "fps_p75": 1.2314023481824525, - "frame_count": 10, - "iqr": 0.016068589873611927, - "median": 8.114463592413813, - "type": "10 x uniform seek()+next()", - "video": 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"decoder": "torchaudio", + "description": "100 next()", + "fps_median": 263.36187377747655, + "fps_p25": 272.8191596128445, + "fps_p75": 254.92052325953637, + "frame_count": 100, + "iqr": 0.02573595428839326, + "median": 0.37970568239688873, + "type": "100 next()", + "video": "/tmp/torchcodec_benchmarking_videos/nasa_960x540_206s_30fps_yuv420p.mp4" + } + ], + "system_metadata": + { + "cpu_count": 22, + "machine": "x86_64", + "python_version": "3.12.5", + "system": "Linux", + "cuda": "NVIDIA PG509-210" + } +} diff --git a/benchmarks/decoders/generate_readme_data.py b/benchmarks/decoders/generate_readme_data.py index 8feb4e3d..3ea66a4f 100644 --- a/benchmarks/decoders/generate_readme_data.py +++ b/benchmarks/decoders/generate_readme_data.py @@ -74,7 +74,7 @@ def main() -> None: video_files_paths, num_samples, num_sequential_frames_from_start=[100], - min_runtime_seconds=30, + min_runtime_seconds=1, benchmark_video_creation=False, dataloader_parameters=DataLoaderInspiredWorkloadParameters( batch_parameters=BatchParameters(batch_size=50, num_threads=10), From c237dcf55ea04ac31c9bb36718071c5eb60ca58a Mon Sep 17 00:00:00 2001 From: Ahmad Sharif Date: Wed, 20 Nov 2024 12:58:53 -0800 Subject: [PATCH 2/4] . --- benchmarks/decoders/generate_readme_data.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/benchmarks/decoders/generate_readme_data.py b/benchmarks/decoders/generate_readme_data.py index 85c26ff7..891e5dca 100644 --- a/benchmarks/decoders/generate_readme_data.py +++ b/benchmarks/decoders/generate_readme_data.py @@ -74,7 +74,7 @@ def main() -> None: video_files_paths, num_samples, num_sequential_frames_from_start=[100], - min_runtime_seconds=1, + min_runtime_seconds=30, benchmark_video_creation=False, dataloader_parameters=DataLoaderInspiredWorkloadParameters( batch_parameters=BatchParameters(batch_size=50, num_threads=10), From be413e4725e861ccd1c4a865a9c5ffb68af08028 Mon Sep 17 00:00:00 2001 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z#vmdpD~{~*(vnATG!N!Dj=vNz6LS!%x(U53mqAz-<{%V7AT|VGw-dQosB|RSBS&zt z7Zt08|Ho>1LPi56C22L}7Z;6?np)&Dilhka8{bkuAM^(LUC*}W;e@YroehaDHE)y$ zftg`c1R^oD0Rjh4-hCiPV?#ONjevyihLl5!SY$&Kv3LcjdJ=@0AFX&2nF>YRq&2St zlNcF}Bb!iIbKPdcsDfVBA;mg0(-lU}3-DreKb{ybgcBzn;IF-N7@E#5TnC*UF=7zb z`3TJX^AFcj=;H0MQqRU4tU;Of1O4i{RLTtX3Nxi~Yvo>)-&TG&Rz& zK@C7{Fe!qt)tQe4;2XF6^*(XSiRnITb7drFGx3qN&ja_xA0t z2+M)Jfp7mxe|p0EeL4pNj77%RXoG4P7*A`MPDi JZ?^r Date: Thu, 21 Nov 2024 11:38:57 -0800 Subject: [PATCH 4/4] . --- .../decoders/benchmark_decoders_library.py | 35 +++++++++++++++++-- 1 file changed, 32 insertions(+), 3 deletions(-) diff --git a/benchmarks/decoders/benchmark_decoders_library.py b/benchmarks/decoders/benchmark_decoders_library.py index 7870b6a8..f5f2fe8a 100644 --- a/benchmarks/decoders/benchmark_decoders_library.py +++ b/benchmarks/decoders/benchmark_decoders_library.py @@ -177,15 +177,20 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): class TorchCodecCoreNonBatch(AbstractDecoder): def __init__(self, num_threads=None, color_conversion_library=None, device="cpu"): - self._num_threads = int(num_threads) if num_threads else None + self._num_threads = num_threads self._color_conversion_library = color_conversion_library self._device = device + from torchvision.transforms import v2 as transforms_v2 + + self.transforms_v2 = transforms_v2 + def get_frames_from_video(self, video_file, pts_list): decoder = create_from_file(video_file) + num_threads = int(self._num_threads) if self._num_threads else 0 _add_video_stream( decoder, - num_threads=self._num_threads, + num_threads=num_threads, color_conversion_library=self._color_conversion_library, device=self._device, ) @@ -199,10 +204,11 @@ def get_frames_from_video(self, video_file, pts_list): return frames def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): + num_threads = int(self._num_threads) if self._num_threads else 0 decoder = create_from_file(video_file) _add_video_stream( decoder, - num_threads=self._num_threads, + num_threads=num_threads, color_conversion_library=self._color_conversion_library, device=self._device, ) @@ -214,6 +220,29 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode): return frames + def decode_and_transform(self, video_file, pts_list, height, width, device): + num_threads = int(self._num_threads) if self._num_threads else 1 + decoder = create_from_file(video_file) + _add_video_stream( + decoder, + num_threads=num_threads, + color_conversion_library=self._color_conversion_library, + device=self._device, + ) + + frames = [] + for pts in pts_list: + seek_to_pts(decoder, pts) + frame, *_ = get_next_frame(decoder) + frames.append(frame) + + frames = [ + self.transforms_v2.functional.resize(frame.to(device), (height, width)) + for frame in frames + ] + + return frames + class TorchCodecCoreBatch(AbstractDecoder): def __init__(self, num_threads=None, color_conversion_library=None, device="cpu"):