no matter what I try, it always ends up with errors.
I tried an endless number of alls versions.
(I have a 64GB Linux 22.04 with a 16GB NVDIA)
Smaller models do compile, but I need to convert one with this video size.
Is it at all possible? How?
Last one:
GNU nano 6.2 yolov11m.alls
normalization1 = normalization([0.0, 0.0, 0.0], [255.0, 255.0, 255.0])
change_output_activation(conv74, sigmoid)
change_output_activation(conv90, sigmoid)
change_output_activation(conv105, sigmoid)
nms_postprocess(“/local/workspace/Yolo/yolov11m_nms_config.json”, meta_arch=yolov8, engine=cpu)
model_optimization_config(calibration, batch_size=1)
model_optimization_flavor(optimization_level=2, compression_level=0)
Error:
[info] context_2 (context_2):
Iterations: 20
Reverts on cluster mapping: 0
Reverts on inter-cluster connectivity: 0
Reverts on pre-mapping validation: 16
Reverts on split failed: 0
[info] context_3 (context_3):
Iterations: 0 [ Did not run due to an error ]
Reverts on cluster mapping: 0
Reverts on inter-cluster connectivity: 0
Reverts on pre-mapping validation: 0
Reverts on split failed: 0
[info] context_4 (context_4):
Iterations: 0 [ Did not run due to an error ]
Reverts on cluster mapping: 0
Reverts on inter-cluster connectivity: 0
Reverts on pre-mapping validation: 0
Reverts on split failed: 0
[error] Failed to produce compiled graph