Merge branch 'master' into 'master'

Correction of the convolution_forward.jinja file

See merge request !5

aidge_export_cpp/operators.py

@@ -154,7 +154,7 @@ class ConvCPP(ExportNode):
             CONFIGURATIONS.CONV,
             name=self.name,
             input_dims=self.inputs_dims[0][1:],
-            output_dims=self.outputs_dims[0],
+            output_dims=self.outputs_dims[0][1:],
             kernel=self.kernel,
             stride=self.stride,
             padding=self.padding,

aidge_export_cpp/templates/kernel_forward/convolution_forward.jinja

-conv_forward<{{name|upper}}_NB_CHANNELS,
-             {{name|upper}}_CHANNELS_HEIGHT,
-             {{name|upper}}_CHANNELS_WIDTH,
-             {{name|upper}}_NB_OUTPUTS,
-             {{name|upper}}_OUTPUTS_HEIGHT,
-             {{name|upper}}_OUTPUTS_WIDTH,
-             {{name|upper}}_PADDING_Y,
-             {{name|upper}}_PADDING_X,
-             {{name|upper}}_STRIDE_Y,
-             {{name|upper}}_STRIDE_X,
-             {{name|upper}}_DILATION_Y,
-             {{name|upper}}_DILATION_X,
-             {{name|upper}}_KERNEL_HEIGHT,
-             {{name|upper}}_KERNEL_WIDTH,
-             {{name|upper}}_ACTIVATION>
-             ({{input_name}}, {{output_name}}, {{weights_name}}, {{biases_name}}, {{name|upper}}_RESCALING);
\ No newline at end of file
+convolution_forward<{{name|upper}}_NB_CHANNELS,
+                    {{name|upper}}_CHANNELS_HEIGHT,
+                    {{name|upper}}_CHANNELS_WIDTH,
+                    {{name|upper}}_NB_OUTPUTS,
+                    {{name|upper}}_OUTPUTS_HEIGHT,
+                    {{name|upper}}_OUTPUTS_WIDTH,
+                    {{name|upper}}_PADDING_Y,
+                    {{name|upper}}_PADDING_X,
+                    {{name|upper}}_STRIDE_Y,
+                    {{name|upper}}_STRIDE_X,
+                    {{name|upper}}_DILATION_Y,
+                    {{name|upper}}_DILATION_X,
+                    {{name|upper}}_KERNEL_HEIGHT,
+                    {{name|upper}}_KERNEL_WIDTH,
+                    {{name|upper}}_ACTIVATION>
+                    ({{input_name}}, {{output_name}}, {{weights_name}}, {{biases_name}}, {{name|upper}}_RESCALING);