diff --git a/.gitignore b/.gitignore
index 4b4d03f6c9b93f8aba3a28352c46a78728338e1a..5129aa266f9c2663150f86799100c9d645a3a243 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,3 +34,6 @@ xml*/
# Model parameters
*.onnx
+uni_tests/benchmark.py
+uni_tests/superpoint.py
+uni_tests/test_cmsis_nn_conv.py
diff --git a/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Convolution/ConvDW.hpp b/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Convolution/ConvDW.hpp
index e1cca080058740c046e9124f935c22c31dd282c6..4e47d556a88c5f5582428e8b1c7fca8a64e04610 100644
--- a/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Convolution/ConvDW.hpp
+++ b/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Convolution/ConvDW.hpp
@@ -95,8 +95,7 @@ __attribute__((always_inline)) inline void convcellDWPropagate(
for (int output = 0; output < NB_OUTPUTS; ++output) {
const int channel = (output * NB_CHANNELS) / NB_OUTPUTS;
- using Sum_T = typename std::conditional<std::is_floating_point<Input_T>::value, float, int32_t>::type;
- Sum_T weightedSum = biasses[output];
+ Bias_T weightedSum = biasses[output];
for (int sy = 0; sy < KERNEL_HEIGHT; ++sy) {
if ((PADDING_Y != 0
diff --git a/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Softmax/aidge_softmax_chw_float32.h b/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Softmax/aidge_softmax_chw_float32.h
index 6ec9122729fcd0436784cc64c573c2a2fe7c85ce..154c63b4c623fe23c33407067a39b99c084281be 100644
--- a/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Softmax/aidge_softmax_chw_float32.h
+++ b/aidge_export_arm_cortexm/_Aidge_Arm/kernels/Softmax/aidge_softmax_chw_float32.h
@@ -1,14 +1,13 @@
#include <math.h>
-void aidge_softmax_chw_float32 (float* inputs,
+void aidge_softmax_chw_float32(float* inputs,
float* outputs,
const int inputDims[],
int axis,
const unsigned int size_inputDim,
const unsigned int size)
{
-
- axis += (axis >= 0 ) ? 0 : size_inputDim;
+ axis += (axis >= 0 ) ? 0 : size_inputDim;
int postAxisElems = 1;
for (unsigned int i = axis+1; i < size_inputDim; ++i) {
diff --git a/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/conv_dw_cinfig.jinja b/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/conv_dw_cinfig.jinja
deleted file mode 100644
index 71c8b59ba2fa58f7db1e8d08c02e7078eb667a9f..0000000000000000000000000000000000000000
--- a/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/conv_dw_cinfig.jinja
+++ /dev/null
@@ -1,40 +0,0 @@
-#define {{ name|upper }}_LAYER_H
-
-#include "typedefs.h"
-#include "nn_scaling_functions.hpp"
-
-{% include "./_def_io.jinja" %}
-{% include "./_meminfo.jinja" %}
-
-// Attributes
-#define {{ name|upper }}_KERNEL_HEIGHT {{ kernel_dims[1] }}
-#define {{ name|upper }}_KERNEL_WIDTH {{ kernel_dims[0] }}
-#define {{ name|upper }}_PADDING_Y {{ padding[1] }}
-#define {{ name|upper }}_PADDING_X {{ padding[0] }}
-#define {{ name|upper }}_STRIDE_Y {{ stride_dims[1] }}
-#define {{ name|upper }}_STRIDE_X {{ stride_dims[0] }}
-#define {{ name|upper }}_DILATION_Y {{ dilation_dims[1] }}
-#define {{ name|upper }}_DILATION_X {{ dilation_dims[0] }}
-{# #define {{ name|upper }}_GROUP {{ group }} #}
-
-// Activation/Scaling
-#define {{ name|upper }}_ACTIVATION {{ activation }}
-
-{%- if scaling_type == "floating_point" %}
-static const N2D2_Export::FloatingPointScaling {{ name|upper }}_SCALING = { {{scaling_value}} };
-{%- elif scaling_type == "fixed_point" %}
-static const N2D2_Export::FixedPointScaling<{{scaling_value}}, {{fractional_bits}}> {{ name|upper }}_SCALING;
-{%- elif scaling_type == "single_shift" %}
-static const N2D2_Export::SingleShiftScaling<{{shift_value}}> {{ name|upper }}_SCALING;
-{%- else %}
-static const N2D2_Export::NoScaling {{ name|upper }}_SCALING;
-{%- endif %}
-
-// Sizes
-#define {{ name|upper }}_WEIGHTS_SIZE {{ out_chan[0] * in_chan[0] * kernel_dims[1] * kernel_dims[0] }}
-#define {{ name|upper }}_BIASES_SIZE {{ out_chan[0] }}
-#define {{ name|upper }}_OUTPUTS_SIZE {{ out_chan[0] * out_height[0] * out_width[0] }}
-#define {{ name|upper }}_CHANNELS_SIZE {{ in_chan[0] * in_height[0] * in_width[0] }}
-
-
-#endif /* {{ name|upper }}_LAYER_H */
diff --git a/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/softmax.jinja b/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/softmax.jinja
index b48a02cb3f1c102b46aaa6c50488e1f8a75eae4a..4c638949ac704abbb14696a1a2b512771206a60c 100644
--- a/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/softmax.jinja
+++ b/aidge_export_arm_cortexm/_Aidge_Arm/templates/configuration/softmax.jinja
@@ -1,6 +1,5 @@
{% include "./_def_io.jinja" %}
-{% include "./_meminfo.jinja" %}
{#- For name header -#}
#ifndef {{ name|upper }}_LAYER_H
@@ -12,5 +11,4 @@
#define {{ name|upper }}_AXIS {{ axis }}
#define {{ name|upper }}_INPUT_DIMS_SIZE {{ in_dims[0]|length}}
static const int {{ name|upper }}_DIMS[] = { {{ in_dims[0] | join(', ') }} };
-
#endif /* {{ name|upper }}_LAYER_H */
diff --git a/aidge_export_arm_cortexm/operators.py b/aidge_export_arm_cortexm/operators.py
index b27efa7d0eb0ab2e8bf0965291722ce1452a7c06..d3bf4e5c1a1493a7a913cf36b48817b808767a96 100644
--- a/aidge_export_arm_cortexm/operators.py
+++ b/aidge_export_arm_cortexm/operators.py
@@ -250,7 +250,7 @@ class ConvDW_ARMCortexM(ExportNodeCpp):
# Use PaddedConv to add padding attribute
self.attributes["padding"] = [0, 0]
- self.config_template = str(ROOT / "_Aidge_Arm" / "templates" / "configuration" / "conv_dw_config.jinja")
+ self.config_template = str(ROOT / "_Aidge_Arm" / "templates" / "configuration" / "conv_config.jinja")
self.forward_template = str(ROOT / "_Aidge_Arm" / "templates" / "forward_call" / "conv_dw_kernel.jinja")
self.include_list = []
self.kernels_to_copy = [
@@ -275,7 +275,7 @@ class PaddedConvDW_ARMCortexM(ExportNodeCpp):
self.attributes["dilation_dims"] = n.get_operator(
).attr.dilation_dims
- self.config_template = str(ROOT / "_Aidge_Arm" / "templates" / "configuration" / "conv_dw_config.jinja")
+ self.config_template = str(ROOT / "_Aidge_Arm" / "templates" / "configuration" / "conv_config.jinja")
self.forward_template = str(ROOT / "_Aidge_Arm" / "templates" / "forward_call" / "conv_dw_kernel.jinja")
self.include_list = []
self.kernels_to_copy = [