I compiled a .tflite model with ncc 1.0.0-fec915fb and try to run it on K210.
Unfortunately the model isn't running because the code fails with the following error message:
[..m/runtime_module.cpp:65 (shape_reg)] id < shape_regs_.size() = false (bool)
error: Result too large
The summary of the compiled model is
SUMMARY
INPUTS
0 new_input u8[1,3,240,320]
OUTPUTS
0 Identity f32[1,6300,6]
MEMORY USAGES
.input 225.00 KB (230400 B)
.output 147.66 KB (151200 B)
.data 2.93 MB (3072000 B)
MODEL 402.77 KB (412440 B)
TOTAL 3.69 MB (3866040 B)
The model is fitting in the SRAM and I can initialize it with kpu_load_kmodel(&task, model_data_align) without error.
After that I try to run it with kpu_run_kmodel(&task, g_ai_buf, DMAC_CHANNEL5, ai_done, NULL) but this functions results in the error message.
Test code
I attached the model (yolo.zip). I simply replaced the kmodel file in the 'kpu' example of kendryte-standalone-demo with my model.
At least the kpu_run_kmodel function should run without any errors, right? Or am I missing some limitation that I oversaw?
Expected behavior
I compiled a .tflite model with ncc 1.0.0-fec915fb and try to run it on K210. Unfortunately the model isn't running because the code fails with the following error message:
The summary of the compiled model is
The model is fitting in the SRAM and I can initialize it with
kpu_load_kmodel(&task, model_data_align)
without error. After that I try to run it withkpu_run_kmodel(&task, g_ai_buf, DMAC_CHANNEL5, ai_done, NULL)
but this functions results in the error message.Test code
I attached the model (yolo.zip). I simply replaced the kmodel file in the 'kpu' example of kendryte-standalone-demo with my model.
At least the
kpu_run_kmodel
function should run without any errors, right? Or am I missing some limitation that I oversaw?Git Versions
kendryte-standalone-sdk:
02576ba
kendryte-standalone-demo:e89c354
Hardware
I'm using a Maixduino with OV2640 camera and the default display.