rocAL_pybind.amd.rocal.plugin.tf.ROCALIterator Class Reference#
rocAL_pybind.amd.rocal.plugin.tf.ROCALIterator Class Reference
ROCAL iterator for detection and classification tasks for TF reader. More...
Inheritance diagram for rocAL_pybind.amd.rocal.plugin.tf.ROCALIterator:
Public Member Functions | |
| def | __init__ (self, pipelines, size=0, auto_reset=False, fill_last_batch=True, dynamic_shape=False, last_batch_padded=False, device="cpu", device_id=0) |
 Public Member Functions inherited from rocAL_pybind.amd.rocal.plugin.tf.ROCALGenericIteratorDetection | |
| def | next (self) |
| def | __next__ (self) |
| def | reset (self) |
| def | __iter__ (self) |
| def | __del__ (self) |
| def | __len__ (self) |
Additional Inherited Members | |
| Data Fields inherited from rocAL_pybind.amd.rocal.plugin.tf.ROCALGenericIteratorDetection | |
| loader | |
| tensor_format | |
| multiplier | |
| offset | |
| device | |
| device_id | |
| reverse_channels | |
| tensor_dtype | |
| bs | |
| output_list | |
| dimensions | |
| dtype | |
| iterator_length | |
| output_tensor_list | |
| output | |
| bbox_list | |
| label_list | |
| labels | |
| bboxes | |
| img_size | |
| num_bboxes_list | |
| label_2d_numpy | |
| bb_2d_numpy | |
| target | |
| target1 | |
| res | |
| l | |
| num_bboxes_arr | |
Detailed Description
ROCAL iterator for detection and classification tasks for TF reader.
It returns 2 or 3 outputs (data and label) or (data , bbox , labels) in the form of numpy or cupy arrays. Calling .. code-block:: python ROCALIterator(pipelines, size) is equivalent to calling .. code-block:: python ROCALGenericIteratorDetection(pipelines, ["data", "label"], size)
- Parameters
-
pipelines The rocAL pipelines to use for processing data. size The size of the iterator. auto_reset Whether to automatically reset the iterator after an epoch. fill_last_batch Whether to fill the last batch with repeated data to match the batch size. dynamic_shape Whether the iterator supports dynamic shapes. last_batch_padded Whether the last batch should be padded to match the batch size.
The documentation for this class was generated from the following file:
- /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-rocal/checkouts/docs-6.2.1/rocAL_pybind/amd/rocal/plugin/tf.py