Revert "Reland cadence quantized_linear_per_tensor_out cpu 1eb924f^..fd33294"

backends/cadence/CMakeLists.txt

@@ -23,6 +23,7 @@ include(${EXECUTORCH_ROOT}/build/Utils.cmake)
 
 # Let files say "include <executorch/path/to/header.h>".
 set(_common_include_directories ${EXECUTORCH_ROOT}/..)
+set(TARGET_DIR reference)
 
 if(EXECUTORCH_CADENCE_CPU_RUNNER)
   include(${EXECUTORCH_ROOT}/build/Codegen.cmake)
@@ -60,9 +61,6 @@ if(EXECUTORCH_CADENCE_CPU_RUNNER)
                                       ${_common_include_directories}
   )
 
-  set(TARGET_DIR reference)
-  add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/${TARGET_DIR}/kernels)
-
   target_link_libraries(
   cadence_runner
   executorch

backends/cadence/aot/functions.yaml

@@ -142,41 +142,6 @@
     - arg_meta: null
       kernel_name: torch::executor::where_out
 
-- op: transpose_copy.int_out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::transpose_copy_int_out
-
-- op: eq.Scalar_out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::eq_scalar_out
-
-- op: logical_not.out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::logical_not_out
-
-- op: any.out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::any_out
-
-- op: native_group_norm.out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::native_group_norm_out
-
-- op: sum.IntList_out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::sum_dim_out
-
-- op: select_copy.int_out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::select_copy_int_out
-
 # custom ops
 - func: cadence::quantize_per_tensor.out(Tensor input, float scale, int zero_point, int quant_min, int quant_max, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!)
   variants: function
@@ -218,18 +183,3 @@
   kernels:
     - arg_meta: null
       kernel_name: impl::reference::quantized_matmul_out
-
-- func: cadence::quantized_linear.per_tensor_out(Tensor src, Tensor weight, Tensor bias, SymInt src_zero_point, SymInt weight_zero_point, SymInt out_multiplier, SymInt out_shift, SymInt out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!)
-  kernels:
-    - arg_meta: null
-      kernel_name: impl::reference::quantized_linear_per_tensor_out
-
-- func: cadence::im2row.out(Tensor input, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, Tensor in_zero_point, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!)
-  kernels:
-    - arg_meta: null
-      kernel_name: impl::reference::im2row_out
-
-- func: cadence::quantized_conv.per_tensor_out(Tensor input, Tensor weight, Tensor bias, int[] stride, SymInt[] padding, int[] dilation, int groups, int input_zero_point, int weight_zero_point, float bias_scale, float out_scale, int out_zero_point, int out_multiplier, int out_shift, bool channel_last=False, *, Tensor(a!) out) -> Tensor(a!)
-  kernels:
-    - arg_meta: null
-      kernel_name: impl::reference::quantized_conv_per_tensor_out

backends/cadence/reference/operators/CMakeLists.txt

@@ -55,16 +55,6 @@ set(_aten_ops__srcs
     "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_expand_copy.cpp"
     "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_gelu.cpp"
     "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_empty.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_transpose_copy.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_eq.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_logical_not.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_any.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_native_group_norm.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_sum.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/op_select_copy.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/dtype_util.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/normalization_ops_util.cpp"
-    "${EXECUTORCH_ROOT}/kernels/portable/cpu/util/select_copy_util.cpp"
 )
 add_library(aten_ops_cadence ${_aten_ops__srcs})
 target_link_libraries(aten_ops_cadence PUBLIC executorch)
@@ -88,7 +78,6 @@ add_library(
   "quantize_per_tensor.cpp"
   "dequantize_per_tensor.cpp"
   "quantized_matmul_out.cpp"
-  "im2row_out.cpp"
 )
 target_include_directories(
   custom_ops PUBLIC ${ROOT_DIR}/.. ${CMAKE_BINARY_DIR}