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Model can be adjusted ahead of time to NHWC to avoid transpose on CPU, for example. All the model information is already presented in the configuration, and the stringent checks implemented in openvino are not present on other backends anyway. OpenVINO will properly report issues with mismatched layouts anyhow. |
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| .. | ||
| __init__.py | ||
| cpu_tfl.py | ||
| deepstack.py | ||
| edgetpu_tfl.py | ||
| hailo8l.py | ||
| onnx.py | ||
| openvino.py | ||
| rknn.py | ||
| tensorrt.py | ||