can't get scale and zeropoint for onnx::Sigmoid_3384_Gemm

[nassimus26]

Hi, I am trying to convert the file that I will attach to this bug report using TPU MLIR converter,

agrd_model.zip

Below the TPU MLIR conversion script

#!/bin/bash

set -e

net_name=agrd
input_w=420
input_h=300

mkdir -p workspace
cd workspace
echo "1.### convert to mlir"
# convert to mlir
model_transform.py \
--model_name ${net_name} \
--model_def /home/mac/data/${net_name}_pt.onnx \
--mean "0.485, 0.456, 0.406" \
--scale "0.229, 0.224, 0.225" \
--keep_aspect_ratio \
--pixel_format rgb \
--channel_format nchw \
--tolerance 0.99,0.99 \
--mlir ${net_name}.mlir \
--input_shapes [[1,3,${input_h},${input_w}],[1,3,${input_h},${input_w}],[1,3,${input_h},${input_w}],[1,3,${input_h},${input_w}],[1,3,${input_h},${input_w}],[1,3,${input_h},${input_w}]] \
#--test_input ../data.npy \
#--test_result ${net_name}_top_outputs.npz \

echo "2.### export bf16 model"
# export bf16 model
#   not use --quant_input, use float32 for easy coding
model_deploy.py \
--mlir ${net_name}.mlir \
--quantize BF16 \
--processor cv181x \
--model ${net_name}_bf16.cvimodel

echo "3.### calibrate for int8 model"
# export int8 model
run_calibration.py ${net_name}.mlir \
--dataset ../images \
--input_num 200 \
-o ${net_name}_cali_table

echo "convert to int8 model"
# export int8 model
#    add --quant_input, use int8 for faster processing in maix.nn.NN.forward_image
model_deploy.py \
--mlir ${net_name}.mlir \
--quantize INT8 \
--quant_input \
--calibration_table ${net_name}_cali_table \
--processor cv181x \
--test_input ${net_name}_in_f32.npz \
--test_reference ${net_name}_top_outputs.npz \
--tolerance 0.9,0.6 \
--model ${net_name}_int8.cvimodel

I am getting this bug trace :

%3475 = "top.MatMul"(%3472, %3473, %3474) {do_relu = false, hdim_is_batch = false, keep_dims = true, left_transpose = false, output_transpose = false, relu_limit = -1.000000e+00 : f64, right_transpose = false} : (tensor<1x120xf32>, tensor<120x24xf32>, tensor<24xf32>) -> tensor<1x24xf32> loc("onnx::Sigmoid_3384_Gemm")
can't get scale and zeropoint
UNREACHABLE executed at /__w/tpu-mlir/tpu-mlir/lib/Support/Module.cpp:1599!
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0.      Program arguments: /usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt fights.mlir --init "--processor-assign=chip=cv181x mode=INT8 num_device=1 num_core=1 addr_mode=auto" --processor-top-optimize "--convert-top-to-tpu= asymmetric=False doWinograd=False ignore_f16_overflow=False q_group_size=0 matmul_perchannel=False" --canonicalize --weight-fold --deinit --mlir-print-debuginfo -o fights_cv181x_int8_sym_tpu.mlir
 #0 0x00005ba3571d2e47 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x848e47)
 #1 0x00005ba3571d0b6e (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x846b6e)
 #2 0x00005ba3571d37ca (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x8497ca)
 #3 0x000079605da3d520 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/lib/third_party/libc.so.6+0x42520)
 #4 0x000079605da919fc pthread_kill (/usr/local/lib/python3.10/dist-packages/tpu_mlir/lib/third_party/libc.so.6+0x969fc)
 #5 0x000079605da3d476 gsignal (/usr/local/lib/python3.10/dist-packages/tpu_mlir/lib/third_party/libc.so.6+0x42476)
 #6 0x000079605da237f3 abort (/usr/local/lib/python3.10/dist-packages/tpu_mlir/lib/third_party/libc.so.6+0x287f3)
 #7 0x00005ba3571d0991 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x846991)
 #8 0x00005ba358842981 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1eb8981)
 #9 0x00005ba358823692 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1e99692)
#10 0x00005ba35761d32d (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0xc9332d)
#11 0x00005ba3574986db (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0xb0e6db)
#12 0x00005ba357497f54 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0xb0df54)
#13 0x00005ba35870fb07 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1d85b07)
#14 0x00005ba35870c41f (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1d8241f)
#15 0x00005ba3586d54fc (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1d4b4fc)
#16 0x00005ba3586d234c (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1d4834c)
#17 0x00005ba35732e9b4 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x9a49b4)
#18 0x00005ba358738df4 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1daedf4)
#19 0x00005ba358739421 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1daf421)
#20 0x00005ba35873b8c8 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1db18c8)
#21 0x00005ba3571c44fb (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x83a4fb)
#22 0x00005ba3571c38c4 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x8398c4)
#23 0x00005ba35894ed88 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x1fc4d88)
#24 0x00005ba3571bdbca (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x833bca)
#25 0x00005ba3571be094 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x834094)
#26 0x00005ba3571bcada (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x832ada)
#27 0x000079605da24d90 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/lib/third_party/libc.so.6+0x29d90)
#28 0x000079605da24e40 __libc_start_main (/usr/local/lib/python3.10/dist-packages/tpu_mlir/lib/third_party/libc.so.6+0x29e40)
#29 0x00005ba3571bbee5 (/usr/local/lib/python3.10/dist-packages/tpu_mlir/bin/tpuc-opt+0x831ee5)
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/tpu_mlir/python/tools/model_deploy.py", line 467, in <module>
    lowering_patterns = tool.lowering()
  File "/usr/local/lib/python3.10/dist-packages/tpu_mlir/python/tools/model_deploy.py", line 167, in lowering
    patterns = mlir_lowering(self.mlir_file,
  File "/usr/local/lib/python3.10/dist-packages/tpu_mlir/python/utils/mlir_shell.py", line 156, in mlir_lowering
    _os_system(cmd, mute=mute,log_level=log_level)
  File "/usr/local/lib/python3.10/dist-packages/tpu_mlir/python/utils/mlir_shell.py", line 62, in _os_system
    raise RuntimeError("[!Error]: {}".format(cmd_str))
RuntimeError: [!Error]: tpuc-opt fights.mlir --processor-assign="chip=cv181x mode=INT8 num_device=1 num_core=1 addr_mode=auto" --processor-top-optimize --convert-top-to-tpu=" asymmetric=False doWinograd=False ignore_f16_overflow=False q_group_size=0 matmul_perchannel=False
```" --canonicalize --weight-fold -o fights_cv181x_int8_sym_tpu.mlir

[Bovey0809]

I also came across the same issue.