124382 - stm32mp257 tflite
124382 - stm32mp257 tflite
Summary: Pipeline failed, but error.log is filled.
Model Details
- model name : deeplab_v3_mobilenetv2_05_16_512_asppv1_int8.tflite
- model url : Download here
Logs Details
user.log
Run command : benchmark_model --graph=deeplab_v3_mobilenetv2_05_16_512_asppv1_int8.tflite --enable_op_profiling=true --report_peak_memory_footprint=true --profiling_output_csv_file=log.csv --op_profiling_output_mode=csv --external_delegate_path=/usr/lib/libvx_delegate.so.2 --num_runs 20
[33mWARNING: Dynamic input shape is not supported in reshape. [0m
[33mError in cpuinfo: prctl(PR_SVE_GET_VL) failed [0m
[33mINFO: Created TensorFlow Lite XNNPACK delegate for CPU. [0m
[33mWARNING: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors (tensor#194 is a dynamic-sized tensor). [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
[33mW [HandleLayoutInfer:332]Op 162: default layout inference pass. [0m
End of command : benchmark_modelerror.log
ERROR: /usr/src/debug/tensorflow-lite/2.18.0+git/tensorflow/lite/kernels/reshape.cc:92 num_input_elements != num_output_elements (288 != 82944)
ERROR: Node number 75 (RESHAPE) failed to invoke.
ERROR: Benchmarking failed.
Timeout on benchmarkReport Details
report.json
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