Hi,
I'm working with the i.MX 8M Plus EVK and VX delegate. I tried to run a full-int quantized tflite model using tflite_runtime version 2.6
delegate = [tflite.load_delegate('/usr/lib/libvx_delegate.so')]
interpreter = tflite.Interpreter(model_path=path, experimental_delegates=delegate)
After allocating and setting input tensor, interpreter.invoke() generates following output:
Vx delegate: allowed_builtin_code set to 0.
Vx delegate: error_during_init set to 0.
Vx delegate: error_during_prepare set to 0.
Vx delegate: error_during_invoke set to 0.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
W [HandleLayoutInfer:257]Op 18: default layout inference pass.
E [vsi_nn_OpOptimize:253]Optimize node RESHAPE fail
E [optimize_node_backward:260]Backward optimize node[63] RESHAPE fail
ERROR: Failed to verify graph
Following OpCodes are used in the already converted tflite model:
(Conversion is also done with tensorflow 2.6.0 lite converter)
| index |
builtin_code |
custom_code |
version |
| 0 |
PAD |
|
2 |
| 1 |
RESHAPE |
|
1 |
| 2 |
CONV_2D |
|
3 |
| 3 |
MAX_POOL_2D |
|
2 |
| 4 |
TRANSPOSE_CONV |
|
3 |
| 5 |
ADD |
|
2 |
As attached in the i.mx machine learning user guide, the listed operations above are all supported by the ovxlib.
What could cause this error? Can someone help?
Thanks and best regards
