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Add CUDA devices to the benchmark #344

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Merged
merged 1 commit into from
Nov 8, 2024
Merged

Add CUDA devices to the benchmark #344

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19 changes: 15 additions & 4 deletions benchmarks/decoders/benchmark_decoders_library.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,6 +123,7 @@ def get_frames_from_video(self, video_file, pts_list):
decoder,
num_threads=self._num_threads,
color_conversion_library=self._color_conversion_library,
device=self._device,
)
metadata = json.loads(get_json_metadata(decoder))
best_video_stream = metadata["bestVideoStreamIndex"]
Expand All @@ -137,6 +138,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
decoder,
num_threads=self._num_threads,
color_conversion_library=self._color_conversion_library,
device=self._device,
)

frames = []
Expand Down Expand Up @@ -176,6 +178,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
decoder,
num_threads=self._num_threads,
color_conversion_library=self._color_conversion_library,
device=self._device,
)

frames = []
Expand All @@ -187,10 +190,11 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):


class TorchCodecCoreBatch(AbstractDecoder):
def __init__(self, num_threads=None, color_conversion_library=None):
def __init__(self, num_threads=None, color_conversion_library=None, device="cpu"):
self._print_each_iteration_time = False
self._num_threads = int(num_threads) if num_threads else None
self._color_conversion_library = color_conversion_library
self._device = device

def get_frames_from_video(self, video_file, pts_list):
decoder = create_from_file(video_file)
Expand All @@ -199,6 +203,7 @@ def get_frames_from_video(self, video_file, pts_list):
decoder,
num_threads=self._num_threads,
color_conversion_library=self._color_conversion_library,
device=self._device,
)
metadata = json.loads(get_json_metadata(decoder))
best_video_stream = metadata["bestVideoStreamIndex"]
Expand All @@ -214,6 +219,7 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
decoder,
num_threads=self._num_threads,
color_conversion_library=self._color_conversion_library,
device=self._device,
)
metadata = json.loads(get_json_metadata(decoder))
best_video_stream = metadata["bestVideoStreamIndex"]
Expand All @@ -225,17 +231,22 @@ def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):


class TorchCodecPublic(AbstractDecoder):
def __init__(self, num_ffmpeg_threads=None):
def __init__(self, num_ffmpeg_threads=None, device="cpu"):
self._num_ffmpeg_threads = (
int(num_ffmpeg_threads) if num_ffmpeg_threads else None
)
self._device = device

def get_frames_from_video(self, video_file, pts_list):
decoder = VideoDecoder(video_file, num_ffmpeg_threads=self._num_ffmpeg_threads)
decoder = VideoDecoder(
video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
)
return decoder.get_frames_played_at(pts_list)

def get_consecutive_frames_from_video(self, video_file, numFramesToDecode):
decoder = VideoDecoder(video_file, num_ffmpeg_threads=self._num_ffmpeg_threads)
decoder = VideoDecoder(
video_file, num_ffmpeg_threads=self._num_ffmpeg_threads, device=self._device
)
frames = []
count = 0
for frame in decoder:
Expand Down
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