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40 lines
1.4 KiB
Python
40 lines
1.4 KiB
Python
# Include definitions from the Python package to define data types for the IOs
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# and to access to the classes for the Graph Graph.
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from cmsisdsp.cg.scheduler import *
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# Include definition of the processing nodes defined in 'nodes.py'.
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from nodes import *
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# Define data type 'float' used for all IOs in this example
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floatType=CType(F32)
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# Instantiate a Source processing node that creates a packet of 5 samples.
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# Each execution of the C function "source" generates 5 samples.
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src=Source("source",floatType,5)
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# Instantiate a binary operation processing node with 2 inputs and 1 output.
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# Each execution of the C function "arm_offset_f32" consumes and produces 7 samples.
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processing=Binary("arm_offset_f32",floatType,7)
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# Instantiate a processing node that produces a constant value which is defined
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# with the C identifier "OFFSET_VALUE".
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offsetValue=Constant("OFFSET_VALUE")
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# Instantiate a Sink processing node that consumes a packet of 5 samples.
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# Each execution of the C function "sink" gets 5 samples as input.
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sink=Sink("sink",floatType,5)
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# Create a Compute Graph object.
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the_graph = Graph()
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# Connect the source output to the input ia of the processing node.
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the_graph.connect(src.o,processing.ia)
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# Connect the constant offsetValues to the input ib of the processing node.
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the_graph.connect(offsetValue,processing.ib)
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# Connect the ouput of the processing node to the input of the sink.
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the_graph.connect(processing.o,sink.i)
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