afe.load.importers.caffe
========================

.. py:module:: afe.load.importers.caffe


Functions
---------

.. autoapisummary::

   afe.load.importers.caffe.import_caffe_model
   afe.load.importers.caffe.validate_input_parameters
   afe.load.importers.caffe.import_caffe_to_tvm


Module Contents
---------------

.. py:function:: import_caffe_model(prototxt_file_path: str, caffemodel_file_path: str)

   Loads in a caffe model from a directory path
   :param prototxt_file_path: filepath to the caffe .prototxt file
   :param caffemodel_file_path: filepath to the caffe .caffemodel file


.. py:function:: validate_input_parameters(prototxt_file_path: str, caffemodel_file_path: str, shape_dict: Dict[str, Tuple[int, Ellipsis]], dtype_dict: Dict[str, afe.ir.tensor_type.ScalarType]) -> None

   Validates the user supplied input.
   :param prototxt_file_path: filepath to the caffe .prototxt file
   :param caffemodel_file_path: filepath to the caffe .caffemodel file
   :param shape_dict: dictionary of input names to input shapes (eg. (1,224,224,3))
   :param dtype_dict: dictionary of input names to input types (eg. float32 or int64)


.. py:function:: import_caffe_to_tvm(prototxt_file_path: str, caffemodel_file_path: str, shape_dict: Dict[str, Tuple[int, Ellipsis]], dtype_dict: Dict[str, afe.ir.tensor_type.ScalarType]) -> afe._tvm._defines.TVMIRModule

   Use TVM frontend to import a caffe pb model into TVM Relay IR
   :param prototxt_file_path: filepath to the caffe .prototxt file
   :param caffemodel_file_path: filepath to the caffe .caffemodel file
   :param shape_dict: dictionary of input names to input shapes (eg. (1,224,224,3))
   :param dtype_dict: dictionary of input names to input types (eg. float32 or int64)
   :return: Imported TVM IR module.