[Fix] bad dimension computation in ConvDepthWise

Context

Fix bad ConvDepthWise dimension computation

include/aidge/backend/cpu/operator/ConvDepthWiseImpl_kernels.hpp

@@ -53,10 +53,10 @@ void ConvDepthWiseImpl1D_cpu_forward_kernel(const std::array<DimSize_t, 1>& stri
 
 
     // output H size
+    const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
     const std::size_t oxSize =
-            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - kernelDims[0] + strideDims[0]) /
+            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - dilated_kernel_x + strideDims[0]) /
                                 static_cast<float>(strideDims[0])));
-    const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
 
 
     // TODO: kernel computation
@@ -133,15 +133,15 @@ void ConvDepthWiseImpl2D_cpu_forward_kernel(const std::array<DimSize_t, 2>& stri
 
 
     // output H size
+    const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
     const std::size_t oxSize =
-            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - kernelDims[0] + strideDims[0]) /
+            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - dilated_kernel_x + strideDims[0]) /
                                 static_cast<float>(strideDims[0])));
-    const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
     // output W size
+    const DimSize_t dilated_kernel_y = dilationDims[1]*(kernelDims[1] - 1) + 1;
     const std::size_t oySize =
-            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[3] - kernelDims[1] + strideDims[1]) /
+            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[3] - dilated_kernel_y + strideDims[1]) /
                                 static_cast<float>(strideDims[1])));
-    const DimSize_t dilated_kernel_y = dilationDims[1]*(kernelDims[1] - 1) + 1;
 
     // TODO: kernel computation
     // output (batch, outCh, Xout, Yout)