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swolchokswolchok
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outline input validation in elementwise_util
This seems to improve code size. Comparing output of test/build_optimized_size_test.sh before/after this change: (I've edited out the unchanged "no ops" test case.) before: ``` ExecuTorch with portable ops binary size, unstripped: -rwxr-xr-x 1 swolchok staff 2004816 Jun 26 14:02 cmake-out/test/size_test_all_ops __TEXT __DATA __OBJC others dec hex 1441792 65536 0 4295524352 4297031680 1001f8000 ExecuTorch with optimized ops binary size, unstripped: -rwxr-xr-x 1 swolchok staff 6746968 Jun 26 14:02 cmake-out/test/size_test_all_optimized_ops __TEXT __DATA __OBJC others dec hex 4947968 65536 0 4296753152 4301766656 10067c000 ``` after: ``` ExecuTorch with portable ops binary size, unstripped: -rwxr-xr-x 1 swolchok staff 1989392 Jun 26 14:37 cmake-out/test/size_test_all_ops __TEXT __DATA __OBJC others dec hex 1425408 65536 0 4295524352 4297015296 1001f4000 ExecuTorch with optimized ops binary size, unstripped: -rwxr-xr-x 1 swolchok staff 6731784 Jun 26 14:37 cmake-out/test/size_test_all_optimized_ops __TEXT __DATA __OBJC others dec hex 4931584 65536 0 4296753152 4301750272 100678000 ``` for test/build_size_test.sh, we see a smaller improvment which is reflected in the file sizes but not the `size` command output, probably because the latter is rounded up to the next page: before: ``` ExecuTorch with portable ops binary size, unstripped: -rwxr-xr-x 1 swolchok staff 2696640 Jun 26 13:44 cmake-out/test/size_test_all_ops __TEXT __DATA __OBJC others dec hex 2162688 65536 0 4295491584 4297719808 1002a0000 ``` after: ``` ExecuTorch with portable ops binary size, unstripped: -rwxr-xr-x 1 swolchok staff 2695344 Jun 26 14:33 cmake-out/test/size_test_all_ops __TEXT __DATA __OBJC others dec hex 2162688 65536 0 4295491584 4297719808 1002a0000 ``` ghstack-source-id: f5eed37 ghstack-comment-id: 3010230941 Pull-Request-resolved: #12031
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3 files changed

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‎kernels/portable/cpu/util/elementwise_util.cpp‎

Lines changed: 86 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,86 @@
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/*
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* Copyright (c) Meta Platforms, Inc. and affiliates.
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* All rights reserved.
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*
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* This source code is licensed under the BSD-style license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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#include <executorch/kernels/portable/cpu/util/elementwise_util.h>
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namespace torch::executor::native::utils::internal {
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template <typename... Args>
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inline bool validate_elementwise_fn_inputs_impl(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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ScalarType compute_type,
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Args... inputs) {
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static_assert(
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(std::is_same_v<Args, std::pair<const Tensor*, SupportedTensorDtypes>> &&
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...));
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const auto check_input_dtype = [](auto input, auto compute_type) {
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return internal::check_tensor_dtype(
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*input.first, input.second, compute_type);
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};
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ET_KERNEL_CHECK(
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ctx,
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(check_input_dtype(inputs, compute_type) && ...) &&
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internal::check_tensor_dtype(out, out_dtypes, compute_type),
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InvalidArgument,
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false);
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return true;
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}
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bool validate_elementwise_fn_inputs(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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ScalarType compute_type,
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std::pair<const Tensor*, SupportedTensorDtypes> input) {
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return validate_elementwise_fn_inputs_impl(
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ctx,
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out,
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out_dtypes,
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compute_type,
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input);
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}
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bool validate_elementwise_fn_inputs(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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ScalarType compute_type,
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std::pair<const Tensor*, SupportedTensorDtypes> input0,
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std::pair<const Tensor*, SupportedTensorDtypes> input1) {
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return validate_elementwise_fn_inputs_impl(
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ctx,
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out,
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out_dtypes,
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compute_type,
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input0,
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input1);
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}
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bool validate_elementwise_fn_inputs(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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ScalarType compute_type,
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std::pair<const Tensor*, SupportedTensorDtypes> input0,
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std::pair<const Tensor*, SupportedTensorDtypes> input1,
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std::pair<const Tensor*, SupportedTensorDtypes> input2) {
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return validate_elementwise_fn_inputs_impl(
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ctx,
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out,
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out_dtypes,
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compute_type,
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input0,
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input1,
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input2);
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}
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} // namespace torch::executor::native::utils::internal

‎kernels/portable/cpu/util/elementwise_util.h‎

Lines changed: 25 additions & 25 deletions
Original file line numberDiff line numberDiff line change
@@ -220,30 +220,29 @@ inline void dtype_specialized_elementwise_fn_impl(
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});
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}
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template <typename CTYPE_COMPUTE, typename Op, typename... Args>
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inline bool validate_elementwise_fn_inputs(
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const Op& compute_fun,
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bool validate_elementwise_fn_inputs(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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Args... inputs) {
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static_assert(
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(std::is_same_v<Args, std::pair<const Tensor*, SupportedTensorDtypes>> &&
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...));
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constexpr auto compute_type = CppTypeToScalarType<CTYPE_COMPUTE>::value;
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const auto check_input_dtype = [](auto input, auto compute_type) {
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return internal::check_tensor_dtype(
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*input.first, input.second, compute_type);
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};
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ET_KERNEL_CHECK(
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ctx,
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(check_input_dtype(inputs, compute_type) && ...) &&
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internal::check_tensor_dtype(out, out_dtypes, compute_type),
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InvalidArgument,
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false);
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ScalarType compute_type,
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std::pair<const Tensor*, SupportedTensorDtypes> input);
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return true;
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}
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bool validate_elementwise_fn_inputs(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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ScalarType compute_type,
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std::pair<const Tensor*, SupportedTensorDtypes> input0,
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std::pair<const Tensor*, SupportedTensorDtypes> input1);
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bool validate_elementwise_fn_inputs(
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KernelRuntimeContext& ctx,
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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ScalarType compute_type,
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std::pair<const Tensor*, SupportedTensorDtypes> input0,
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std::pair<const Tensor*, SupportedTensorDtypes> input1,
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std::pair<const Tensor*, SupportedTensorDtypes> input2);
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template <
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typename CTYPE_COMPUTE,
@@ -314,8 +313,9 @@ inline void apply_elementwise_fn_runtime_out_dtypes(
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const Tensor& out,
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SupportedTensorDtypes out_dtypes,
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Args... inputs) {
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const bool inputs_valid = validate_elementwise_fn_inputs<CTYPE_COMPUTE>(
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compute_fun, ctx, out, out_dtypes, inputs...);
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constexpr auto compute_type = CppTypeToScalarType<CTYPE_COMPUTE>::value;
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const bool inputs_valid = validate_elementwise_fn_inputs(
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ctx, out, out_dtypes, compute_type, inputs...);
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if (!inputs_valid) {
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return;
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}
@@ -339,13 +339,13 @@ inline void apply_elementwise_fn(
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KernelRuntimeContext& ctx,
340340
const Tensor& out,
341341
Args... inputs) {
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const bool inputs_valid = validate_elementwise_fn_inputs<CTYPE_COMPUTE>(
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compute_fun, ctx, out, out_dtypes, inputs...);
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constexpr auto compute_type = CppTypeToScalarType<CTYPE_COMPUTE>::value;
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const bool inputs_valid = validate_elementwise_fn_inputs(
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ctx, out, out_dtypes, compute_type, inputs...);
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if (!inputs_valid) {
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return;
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}
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constexpr auto compute_type = CppTypeToScalarType<CTYPE_COMPUTE>::value;
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if constexpr (should_include_kernel_dtype(op_name, compute_type)) {
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const bool all_inputs_compute_dtype =
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((inputs.first->scalar_type() == compute_type) && ...);

‎kernels/portable/cpu/util/targets.bzl‎

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@@ -104,6 +104,9 @@ def define_common_targets():
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runtime.cxx_library(
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name = "elementwise_util",
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srcs = [
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"elementwise_util.cpp",
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],
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exported_headers = [
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"elementwise_util.h",
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],

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