nvidia.dali.fn.video_reader_resize

nvidia.dali.fn.video_reader_resize(*, sequence_length, additional_decode_surfaces=2, antialias=True, bytes_per_sample_hint=[0], channels=3, dont_use_mmap=False, dtype=DALIDataType.UINT8, enable_frame_num=False, enable_timestamps=False, file_list='', file_list_frame_num=False, file_list_include_preceding_frame=False, file_root='', filenames=[], image_type=DALIImageType.RGB, initial_fill=1024, interp_type=DALIInterpType.INTERP_LINEAR, labels=None, lazy_init=False, mag_filter=DALIInterpType.INTERP_LINEAR, max_size=None, min_filter=DALIInterpType.INTERP_LINEAR, minibatch_size=32, mode='default', normalized=False, num_shards=1, pad_last_batch=False, pad_sequences=False, prefetch_queue_depth=1, preserve=False, random_shuffle=False, read_ahead=False, resize_longer=0.0, resize_shorter=0.0, resize_x=0.0, resize_y=0.0, resize_z=0.0, roi_end=None, roi_relative=False, roi_start=None, seed=-1, shard_id=0, size=None, skip_cached_images=False, skip_vfr_check=False, step=-1, stick_to_shard=False, stride=1, subpixel_scale=True, temp_buffer_hint=0, tensor_init_bytes=1048576, device=None, name=None)

Warning

This operator is now deprecated. Use readers.video_resize() instead.

In DALI 1.0 all readers were moved into a dedicated readers submodule and renamed to follow a common pattern. This is a placeholder operator with identical functionality to allow for backward compatibility.

Legacy alias for readers.video_resize().