Houssem ROUIS
--- a/aidge_core/unit_tests/test_recipies.py
+++ b/aidge_core/unit_tests/test_recipies.py
    def tearDown(self):
        pass

+    def test_remove_dropout(self):
+        graph_view = aidge_core.sequential([
+            aidge_core.GenericOperator("Conv", 1, 1, 1, "Conv0");
+            aidge_core.GenericOperator("Dropout", 1, 1, 1, name="Dropout0")
-            aidge_core.GenericOperator("Conv", 1, 1, 1, "Conv0");
-            aidge_core.GenericOperator("Dropout", 1, 1, 1, name="Dropout0")
+            aidge_core.GenericOperator("Conv", 1, 0, 1, "Conv0");
+            aidge_core.GenericOperator("Dropout", 1, 0, 1, name="Dropout0")
--- a/include/aidge/operator/Slice.hpp 0 → 100644
+++ b/include/aidge/operator/Slice.hpp 0 → 100644
+        return std::make_shared<Slice_Op>(*this);
+    }
+
+    void associateInput(const IOIndex_t inputIdx, std::shared_ptr<Data> data) override final {
+        assert(inputIdx < 4 && "Slice operator supports only 4 inputs");
+        assert(strcmp(data->type(), Tensor::Type)==0 && "input data must be of Tensor type");
+        mInputs[inputIdx] = std::dynamic_pointer_cast<Tensor>(data);
+    }
+
+    void computeOutputDims() override final {
+        if (!mInputs[0]->empty() && !mInputs[1]->empty() && !mInputs[2]->empty()&& !mInputs[3]->empty())
+        {
+            DimSize_t nbAxes = mInputs[1]->dims()[0];
+            const int* axes = static_cast<const int*>(mInputs[1]->getImpl()->rawPtr());
+            const int* starts = static_cast<const int*>(mInputs[2]->getImpl()->rawPtr());
+            const int* ends = static_cast<const int*>(mInputs[3]->getImpl()->rawPtr());