[DNM] platform: cavs25: enable TFLM model loading from bytes control

Enable CONFIG_COMP_TENSORFLOW_MODEL_FROM_CONTROL in the cAVS 2.5 board
configuration so that the TFLM wake-word model is loaded from runtime
bytes control instead of relying on the built-in static C array.

Add bytes kcontrol with max 65536 to the tflmcly widget in the HDA
Wake-on-Voice detection pipeline topology so that the model flatbuffer
can be set at runtime via sof-ctl.

Signed-off-by: Seppo Ingalsuo <seppo.ingalsuo@linux.intel.com>

Author: singalsu

app/boards/intel_adsp_cavs25.conf

@@ -19,6 +19,7 @@ CONFIG_STD_CPP17=y
 # below), so build tensorflow in statically rather than as an LLEXT module.
 CONFIG_COMP_TENSORFLOW=y
 CONFIG_COMP_TENSORFLOW_DEBUG_TRACE=y
+CONFIG_COMP_TENSORFLOW_MODEL_FROM_CONTROL=y
 CONFIG_STACK_SIZE_EDF=32768
 CONFIG_PCM_CONVERTER_FORMAT_S16LE=y
 CONFIG_PCM_CONVERTER_FORMAT_S24LE=y

tools/topology/topology2/platform/intel/hda-mic-tflm-kpb.conf

@@ -105,6 +105,15 @@ Object.Pipeline.host-gateway-micsel-mfcc-tflm-capture [
 				}
 			}
 		}
+
+		Object.Widget.tflmcly.1 {
+			Object.Control {
+				bytes."1" {
+					name "HDA Mic TFLM bytes"
+					max 65536
+				}
+			}
+		}
 	}
 ]