feat: Add reshape export op

aidge_export_cpp/kernels/reshape.hpp

+#ifndef __AIDGE_EXPORT_CPP_KERNELS_RESHAPE__
+#define __AIDGE_EXPORT_CPP_KERNELS_RESHAPE__
+
+#include "network/typedefs.hpp"
+
+// Generic function for reshape and activation
+
+template<int M,
+         typename Input_T, typename Output_T>
+__attribute__((always_inline)) inline
+void reshape_forward (
+    const Input_T* __restrict, // First input is useless as it only dictate the resulting layout of the reshape
+    const Input_T* __restrict inputs2,
+    Output_T* __restrict outputs)
+{
+    // If inputs and outputs pointers are the same, the memory manager has already optimized this function so it is a no-op !
+    if (inputs2 == outputs)
+        return;
+
+    // A reshape in c++ world should equal to a Noop
+    // We only need to copy the input buffer to the output
+    for (int m = 0; m < M; ++m) {
+        outputs[m] = inputs2[m];
+    }
+}
+
+#endif  // __AIDGE_EXPORT_CPP_KERNELS_RESHAPE__
\ No newline at end of file

aidge_export_cpp/operators.py

@@ -94,6 +94,19 @@ class ReLUCPP(ExportNodeCpp):
             str(ROOT / "kernels" / "rescaling.hpp")
         ]
 
+@ExportLibCpp.register("Reshape", aidge_core.ImplSpec(aidge_core.IOSpec(aidge_core.dtype.float32)))
+class ReshapeCPP(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = str(
+            ROOT / "templates" / "configuration" / "reshape_config.jinja")
+        self.forward_template = str(
+            ROOT / "templates" / "kernel_forward" / "reshape_forward.jinja")
+        self.include_list = []
+        self.kernels_to_copy = [
+            str(ROOT / "kernels" / "reshape.hpp"),
+        ]
+
 @ExportLibCpp.register("Conv2D", aidge_core.ImplSpec(aidge_core.IOSpec(aidge_core.dtype.float32)))
 class ConvCPP(ExportNodeCpp):
     def __init__(self, node, mem_info):

aidge_export_cpp/templates/configuration/reshape_config.jinja

+{#- For name header -#}
+#ifndef {{ name|upper }}_LAYER_H
+#define {{ name|upper }}_LAYER_H
+
+{% include "./_def_io.jinja" %}
+{% include "./_meminfo.jinja" %}
+{# For layer configuration -#}
+#define {{ name|upper }}_NB_ELTS {{ in_dims[0]|join('*') }}

aidge_export_cpp/templates/kernel_forward/reshape_forward.jinja

+{% filter indent(width=4, first=False) %}
+{% include "./_mem_offset.jinja" %}
+reshape_forward<{{name|upper}}_NB_ELTS>
+                 ({{in_name[0]}}, {{in_name[1]}}, {{out_name[0]}});
+{% include "./_save_outputs.jinja" %}
+{% endfilter %}