nvidia.dali.fn.numpy_reader#
- nvidia.dali.fn.numpy_reader(
- *,
- bytes_per_sample_hint=[0],
- cache_header_information=False,
- dont_use_mmap=False,
- file_filter='*.npy',
- file_list=None,
- file_root=None,
- files=None,
- fill_value=0.0,
- initial_fill=1024,
- lazy_init=False,
- num_shards=1,
- out_of_bounds_policy='error',
- pad_last_batch=False,
- prefetch_queue_depth=1,
- preserve=False,
- random_shuffle=False,
- read_ahead=False,
- register_buffers=True,
- rel_roi_end=None,
- rel_roi_shape=None,
- rel_roi_start=None,
- roi_axes=[],
- roi_end=None,
- roi_shape=None,
- roi_start=None,
- seed=-1,
- shard_id=0,
- shuffle_after_epoch=False,
- skip_cached_images=False,
- stick_to_shard=False,
- tensor_init_bytes=1048576,
- use_o_direct=False,
- device=None,
- name=None,
Warning
This operator is now deprecated. Use
readers.numpy()instead.In DALI 1.0 all readers were moved into a dedicated
readerssubmodule and renamed to follow a common pattern. This is a placeholder operator with identical functionality to allow for backward compatibility.Legacy alias for
readers.numpy().