teflon/tests: add micronet_large anomaly detection model

Downloaded from the Arm ML Zoo [1]. Per-channel quantized INT8 model
with 14 operators: CONV_2D (7x), DEPTHWISE_CONV_2D (5x),
AVERAGE_POOL_2D, RESHAPE. All per-op tests pass but the full model
fails due to a bug in synchronization of operations.

[1] https://github.com/Arm-Examples/ML-zoo/tree/master/models/anomaly_detection/micronet_large/tflite_int8

Signed-off-by: Anders Roxell <anders.roxell@linaro.org>
Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/39594>

src/gallium/drivers/ethosu/ci/ethos-imx93-fails.txt

@@ -1,4 +1,5 @@
 Models.Op/efficientdet_efficientdet_tflite_lite0_int8_v1,Fail
+Models.Op/micronetlarge_ad_large_int8,Fail
 Models.Op/movenetlightning_089,Fail
 Models.Op/movenetlightning_090,Fail
 Models.Op/movenetlightning_093,Fail