finn.custom_op.streamingdataflowpartition (module)

class finn.custom_op.streamingdataflowpartition.StreamingDataflowPartition(onnx_node)

Bases: finn.custom_op.base.CustomOp

Class that corresponds to the meta/container node StreamingDataflowPartition which is a placeholder for a group of fpgadataflow nodes that have been separated out into a FINN-ONNX model of its own. Note that is does not produce any HLS or bitfile by itself.

execute_node(context, graph)

Execute this CustomOp instance, given the execution context and ONNX graph.

get_nodeattr_types()

Returns a dict of permitted attributes for node, where: returned_dict[attribute_name] = (dtype, require, default_value) - dtype indicates which member of the ONNX AttributeProto will be utilized - require indicates whether this attribute is required - default_val indicates the default value that will be used if the attribute is not set

infer_node_datatype(model)

Set the DataType annotations corresponding to the outputs of this node.

make_shape_compatible_op(model)

Returns a standard ONNX op which is compatible with this CustomOp for performing shape inference.

verify_node()

Verifies that all attributes the node needs are there and that particular attributes are set correctly. Also checks if the number of inputs is equal to the expected number.