delete .int overload (#423)

Summary:
Pull Request resolved: #423

This hasnt been able to be generated for a while in favor of the .scalar overload. The previous diff should have cleaned up the last model being used that had it present.

Reviewed By: cccclai

Differential Revision: D49289930

fbshipit-source-id: a0de3c3e0817bfc4edb1a225d121de731610e221

Author: JacobSzwejbka

examples/selective_build/test_selective_build.sh

@@ -32,9 +32,9 @@ test_buck2_select_ops_in_list() {
     ${PYTHON_EXECUTABLE} -m examples.export.export_example --model_name="add_mul"
 
     echo "Running selective build test"
-    # set max_kernel_num=17: 14 primops, add, mul
+    # set max_kernel_num=16: 13 primops, add, mul
     $BUCK run //examples/selective_build:selective_build_test \
-        --config=executorch.max_kernel_num=17 \
+        --config=executorch.max_kernel_num=16 \
         --config=executorch.select_ops=list -- --model_path=./add_mul.pte
 
     echo "Removing add_mul.pte"
@@ -80,12 +80,12 @@ test_cmake_select_ops_in_list() {
     echo "Exporting MobilenetV2"
     ${PYTHON_EXECUTABLE} -m examples.export.export_example --model_name="mv2"
 
-    # set MAX_KERNEL_NUM=17: 14 primops, add, mul
+    # set MAX_KERNEL_NUM=16: 13 primops, add, mul
     (rm -rf cmake-out \
         && mkdir cmake-out \
         && cd cmake-out \
         && retry cmake -DBUCK2="$BUCK" \
-            -DMAX_KERNEL_NUM=17 \
+            -DMAX_KERNEL_NUM=16 \
             -DBUILD_SELECTIVE_BUILD_TEST=ON \
             -DCMAKE_BUILD_TYPE=Release \
             -DSELECT_OPS_LIST="aten::convolution.out,\

kernels/prim_ops/register_prim_ops.cpp

@@ -210,17 +210,6 @@ static Kernel prim_ops[] = {
           BOOLEAN_ET_PRIM_OP(<=, stack, context);
         }),
 
-    // executorch_prim::floordiv.int(int, int) -> int
-    Kernel(
-        "executorch_prim::floordiv.int",
-        [](RuntimeContext& context, EValue** stack) {
-          (void)context;
-          EValue& a = *stack[0];
-          EValue& b = *stack[1];
-          EValue& out = *stack[2];
-          out = EValue(a.toInt() / b.toInt());
-        }),
-
     // executorch_prim::et_copy_index.tensor(tensor, tensor) -> tensor
     Kernel("executorch_prim::et_copy_index.tensor", &et_copy_index),