def __init__(
self,
annotation_file: str,
image_dir: str,
batch_size: int,
shuffle: bool = True,
random_seed: Optional[int] = None,
group_by_aspect_ratio: bool = True,
stride_partition: bool = True,
name: str = None,
):
assert name is not None
if random_seed is None:
random_seed = random.randrange(sys.maxsize)
module_util.Module.__init__(self, name)
self.op_module_builder = (
flow.consistent_user_op_module_builder("COCOReader")
.Op("COCOReader")
.Output("image")
.Output("image_id")
.Output("image_size")
.Output("gt_bbox")
.Output("gt_label")
.Output("gt_segm")
.Output("gt_segm_index")
.Attr("annotation_file", annotation_file)
.Attr("image_dir", image_dir)
.Attr("batch_size", batch_size)
.Attr("shuffle_after_epoch", shuffle)
.Attr("random_seed", random_seed)
.Attr("group_by_ratio", group_by_aspect_ratio)
.Attr("stride_partition", stride_partition)
.CheckAndComplete()
)
self.op_module_builder.user_op_module.InitOpKernel()
def __init__(self):
flow.nn.Module.__init__(self)
self.module_builder_ = flow.consistent_user_op_module_builder("add_n")
self.module_builder_.InputSize("in", 2).Output("out")
self.module_builder_.user_op_module.InitOpKernel()
