Hello,
I am trying to compile an har network from yolov8 to an usable hef model. But i am running into some errors.
I have already tried to different compilers .27 and .28 which does not change anything. furthermore have i tried using two different models. one trained inside the given docker and the other the casual route. This doesnt make a difference in being able to compile it.
My errors are inside .27 docker trained network:
[info] Loading network parameters
[info] Starting Hailo allocation and compilation flow
[error] Mapping Failed (allocation time: 10s)
No successful assignment for: format_conversion1_defuse_reshape_hxf_to_w_transposed, format_conversion1_defuse_width_feature_reshape, concat17
and with .28 with docker trained network:
[info] To achieve optimal performance, set the compiler_optimization_level to "max" by adding performance_param(compiler_optimization_level=max) to the model script. Note that this may increase compilation time.
[info] Loading network parameters
[info] Starting Hailo allocation and compilation flow
[error] Mapping Failed (allocation time: 10s)
No successful assignment for: format_conversion1, concat17
when trying to compile the yolo network that hasnt been trained inside the docker i get this error, with the .28 compiler:
[info] To achieve optimal performance, set the compiler_optimization_level to "max" by adding performance_param(compiler_optimization_level=max) to the model script. Note that this may increase compilation time.
[info] Loading network parameters
[info] Starting Hailo allocation and compilation flow
[error] Mapping Failed (allocation time: 3m 9s)
No successful assignment for: ew_sub_softmax1
[error] Failed to produce compiled graph
[error] BackendAllocatorException: Compilation failed: No successful assignment for: ew_sub_softmax1
I hope someone can help me solving this problem!