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Merged
merged 20 commits into from
Oct 22, 2025
Merged

Msvc ops changes #15226

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64120a9
try not using a variable
JacobSzwejbka Oct 17, 2025
504888f
update cmakelists
JacobSzwejbka Oct 17, 2025
37624cb
msvc really hates constexpr variables I guess
JacobSzwejbka Oct 17, 2025
448f941
statement expression -> dowhile
JacobSzwejbka Oct 17, 2025
14ec290
one }) was ok
JacobSzwejbka Oct 17, 2025
6c39e59
op name
JacobSzwejbka Oct 17, 2025
cc0c14f
name in real_copy and attempt at fixing lambda ternary issue in topk
JacobSzwejbka Oct 17, 2025
9d97fd9
maybe the include fixes topk
JacobSzwejbka Oct 17, 2025
d64d969
remove unused var
JacobSzwejbka Oct 17, 2025
162f018
lint
JacobSzwejbka Oct 17, 2025
20c44b0
no std::function
JacobSzwejbka Oct 17, 2025
a6bfcbc
remove std::function and complex->complexh
JacobSzwejbka Oct 17, 2025
fda2b17
fix compiler flag
JacobSzwejbka Oct 17, 2025
6533170
fix compiler flag
JacobSzwejbka Oct 17, 2025
d94e032
fix compiler flag
JacobSzwejbka Oct 17, 2025
7857821
remove tokenizers change from pr
JacobSzwejbka Oct 17, 2025
83cf868
add static
JacobSzwejbka Oct 20, 2025
904b2b4
more statics and explicit typing for lambdas
JacobSzwejbka Oct 20, 2025
0451870
minor tweeks
JacobSzwejbka Oct 21, 2025
9f79431
Merge branch 'main' into msvc-ops-changes
JacobSzwejbka Oct 21, 2025
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5 changes: 4 additions & 1 deletion kernels/optimized/CMakeLists.txt
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Expand Up @@ -21,7 +21,10 @@ if(NOT EXECUTORCH_ROOT)
set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../..)
endif()

set(_common_compile_options -Wno-deprecated-declarations)
set(_common_compile_options
$<$<CXX_COMPILER_ID:MSVC>:/wd4996>
$<$<NOT:$<CXX_COMPILER_ID:MSVC>>:-Wno-deprecated-declarations>
)

# Note for apple platform we can rely on Accelerate framework Will come back to
# this
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3 changes: 2 additions & 1 deletion kernels/optimized/cpu/op_bmm.cpp
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Expand Up @@ -150,9 +150,10 @@ Tensor& opt_bmm_out(
ET_KERNEL_CHECK(
ctx, check_bmm_out_args(self, mat2, out), InvalidArgument, out);

constexpr auto name = "bmm.out";
auto self_type = self.scalar_type();

static constexpr auto name = "bmm.out";

if (executorch::runtime::isComplexType(self_type)) {
ET_SWITCH_COMPLEXH_TYPES(self_type, ctx, name, CTYPE, [&]() {
bmm_kernel<CTYPE>(self, mat2, out);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_convolution_backward.cpp
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Expand Up @@ -305,7 +305,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> convolution_backward_out(
ret_val);
}

constexpr auto name = "convolution_backward.out";
static constexpr auto name = "convolution_backward.out";

ET_SWITCH_FLOATHBF16_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {
conv2d_backward_impl<CTYPE>(
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_gather.cpp
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Expand Up @@ -85,7 +85,7 @@ Tensor& gather_out(
InvalidArgument,
out);

constexpr auto name = "gather.out";
static constexpr auto name = "gather.out";

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
gather_helper<CTYPE>(in, index, out, dim);
Expand Down
6 changes: 3 additions & 3 deletions kernels/portable/cpu/op_masked_scatter.cpp
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Expand Up @@ -41,13 +41,13 @@ Tensor& masked_scatter_out(
InvalidArgument,
out);

constexpr auto op_name = "masked_scatter.out";

int64_t idx = 0;
int64_t src_numel = src.numel();
bool src_numel_check = true;

ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, op_name, CTYPE, [&]() {
static constexpr auto name = "masked_scatter.out";

ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, name, CTYPE, [&]() {
const CTYPE* const src_data = src.const_data_ptr<CTYPE>();
apply_binary_elementwise_fn<CTYPE, bool, CTYPE>(
[src_data, &idx, &src_numel, &src_numel_check](
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_max.cpp
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Expand Up @@ -124,7 +124,7 @@ max_unary_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {

ET_KERNEL_CHECK(ctx, canCast(in_type, out_type), InvalidArgument, out);

constexpr auto name = "max.unary_out";
static constexpr auto name = "max.unary_out";

ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, name, CTYPE_IN, [&] {
ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
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2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_max_pool2d_with_indices_backward.cpp
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Expand Up @@ -169,7 +169,7 @@ Tensor& max_pool2d_with_indices_backward_out(
InvalidArgument,
grad_input);

constexpr auto name = "max_pool2d_with_indices_backward.grad_input";
static constexpr auto name = "max_pool2d_with_indices_backward.grad_input";

ET_SWITCH_FLOATHBF16_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {
max_pool_backward_impl<CTYPE, false>(grad_input, grad_output, indices);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_min.cpp
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Expand Up @@ -124,7 +124,7 @@ min_unary_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {

ET_KERNEL_CHECK(ctx, canCast(in_type, out_type), InvalidArgument, out);

constexpr auto name = "min.unary_out";
static constexpr auto name = "min.unary_out";

ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, name, CTYPE_IN, [&] {
ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
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4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_native_batch_norm.cpp
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Expand Up @@ -102,7 +102,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_no_training_out(
size_t outer = getLeadingDims(in, C_dim);
size_t inner = getTrailingDims(in, C_dim);

constexpr auto name = "native_batch_norm_legit_no_training.out";
static constexpr auto name = "native_batch_norm_legit_no_training.out";

ET_SWITCH_FLOATHBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&] {
const CTYPE* in_data = in.const_data_ptr<CTYPE>();
Expand Down Expand Up @@ -259,7 +259,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> _native_batch_norm_legit_no_stats_out(
InvalidArgument,
ret_val);

constexpr auto name = "_native_batch_norm_legit.no_stats_out";
static constexpr auto name = "_native_batch_norm_legit.no_stats_out";

ET_SWITCH_FLOATHBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&] {
const CTYPE* in_data = in.const_data_ptr<CTYPE>();
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_native_group_norm.cpp
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Expand Up @@ -190,7 +190,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> native_group_norm_out(
ret_val);
}

constexpr auto name = "native_group_norm.out";
static constexpr auto name = "native_group_norm.out";

ET_SWITCH_FLOATHBF16_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {
group_norm<CTYPE>(
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_pdist_forward.cpp
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Expand Up @@ -40,7 +40,7 @@ Tensor& _pdist_forward_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "_pdist_forward.out";
static constexpr auto name = "_pdist_forward.out";

ET_SWITCH_FLOATHBF16_TYPES(
in_type, ctx, name, CTYPE, [&] { pdist<CTYPE>(in, out, p); });
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4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_prod.cpp
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Expand Up @@ -32,7 +32,7 @@ Tensor& prod_out(

ScalarType in_type = in.scalar_type();
ScalarType out_type = out.scalar_type();
constexpr auto name = "prod.int_out";
static constexpr auto name = "prod.int_out";

ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, name, CTYPE_IN, [&] {
ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
Expand Down Expand Up @@ -72,7 +72,7 @@ Tensor& prod_int_out(

ScalarType in_type = in.scalar_type();
ScalarType out_type = out.scalar_type();
constexpr auto name = "prod.int_out";
static constexpr auto name = "prod.int_out";

ET_SWITCH_REALHBBF16_TYPES(in_type, ctx, name, CTYPE_IN, [&] {
ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE_OUT, [&] {
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_reflection_pad1d.cpp
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Expand Up @@ -44,7 +44,7 @@ Tensor& reflection_pad1d_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "reflection_pad1d.out";
static constexpr auto name = "reflection_pad1d.out";

ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&] {
pad1d<CTYPE>(reflection_ix, in, out, padding);
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2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_reflection_pad2d.cpp
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Expand Up @@ -44,7 +44,7 @@ Tensor& reflection_pad2d_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "reflection_pad2d.out";
static constexpr auto name = "reflection_pad2d.out";

ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&] {
pad2d<CTYPE>(reflection_ix, in, out, padding);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_reflection_pad3d.cpp
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Expand Up @@ -44,7 +44,7 @@ Tensor& reflection_pad3d_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "reflection_pad3d.out";
static constexpr auto name = "reflection_pad3d.out";

ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&] {
pad3d<CTYPE>(reflection_ix, in, out, padding);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_repeat_interleave.cpp
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Expand Up @@ -72,7 +72,7 @@ Tensor& repeat_interleave_Tensor_out(

int64_t repeats_sum = 0;

constexpr auto name = "repeat_interleave.Tensor_out";
static constexpr auto name = "repeat_interleave.Tensor_out";

ET_SWITCH_TWO_TYPES(Int, Long, repeats.scalar_type(), ctx, name, CTYPE, [&] {
const CTYPE* repeats_data = repeats.const_data_ptr<CTYPE>();
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2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_replication_pad1d.cpp
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Expand Up @@ -36,7 +36,7 @@ Tensor& replication_pad1d_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "replication_pad1d.out";
static constexpr auto name = "replication_pad1d.out";

ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&] {
pad1d<CTYPE>(replication_ix, in, out, padding);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_replication_pad2d.cpp
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Expand Up @@ -36,7 +36,7 @@ Tensor& replication_pad2d_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "replication_pad2d.out";
static constexpr auto name = "replication_pad2d.out";

ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&] {
pad2d<CTYPE>(replication_ix, in, out, padding);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_replication_pad3d.cpp
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Expand Up @@ -36,7 +36,7 @@ Tensor& replication_pad3d_out(
out);

ScalarType in_type = in.scalar_type();
constexpr auto name = "replication_pad3d.out";
static constexpr auto name = "replication_pad3d.out";

ET_SWITCH_ALL_TYPES(in_type, ctx, name, CTYPE, [&] {
pad3d<CTYPE>(replication_ix, in, out, padding);
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_roll.cpp
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Expand Up @@ -80,7 +80,7 @@ Tensor& roll_out(
size_t dim_shift_array_length = static_cast<size_t>(in.dim()); // NOLINT
IntArrayRef dim_shifts(dim_shift_array, dim_shift_array_length);

constexpr auto name = "roll.out";
static constexpr auto name = "roll.out";

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&] {
const CTYPE* in_data = in.const_data_ptr<CTYPE>();
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2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_scalar_tensor.cpp
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Expand Up @@ -22,7 +22,7 @@ scalar_tensor_out(KernelRuntimeContext& ctx, const Scalar& s, Tensor& out) {

ScalarType out_type = out.scalar_type();

constexpr auto name = "scalar_tensor.out";
static constexpr auto name = "scalar_tensor.out";

ET_SWITCH_REALHBBF16_TYPES(out_type, ctx, name, CTYPE, [&]() {
auto opt_val_casted = utils::internal::check_overflow_scalar_cast<CTYPE>(s);
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4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_scatter.cpp
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Expand Up @@ -119,7 +119,7 @@ Tensor& scatter_src_out(
ET_KERNEL_CHECK(
ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);

constexpr auto name = "scatter.src_out";
static constexpr auto name = "scatter.src_out";

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
scatter_src_helper<CTYPE>(in, dim, index, src, out);
Expand All @@ -146,7 +146,7 @@ Tensor& scatter_value_out(
ET_KERNEL_CHECK(
ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out);

constexpr auto name = "scatter.value_out";
static constexpr auto name = "scatter.value_out";

ET_SWITCH_REALHBBF16_TYPES(in.scalar_type(), ctx, name, CTYPE, [&]() {
auto opt_val = utils::internal::check_overflow_scalar_cast<CTYPE>(value);
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19 changes: 11 additions & 8 deletions kernels/portable/cpu/op_topk.cpp
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Expand Up @@ -6,14 +6,14 @@
* LICENSE file in the root directory of this source tree.
*/

#include <c10/util/irange.h>
#include <cmath>
#include <tuple>

#include <executorch/kernels/portable/cpu/util/math_util.h>
#include <executorch/runtime/core/exec_aten/exec_aten.h>
#include <executorch/runtime/kernel/kernel_includes.h>

#include <c10/util/irange.h>
#include <cmath>
#include <tuple>

namespace torch {
namespace executor {
namespace native {
Expand Down Expand Up @@ -118,13 +118,16 @@ void perform_topk(
}

// Perform topk on the queue
const auto elem_greater = [](const elem_t& x, const elem_t& y) -> bool {
bool (*elem_greater)(const elem_t&, const elem_t&) =
[](const elem_t& x, const elem_t& y) -> bool {
return float_less_than(y.first, x.first);
};
const auto elem_less = [](const elem_t& x, const elem_t& y) -> bool {
bool (*elem_less)(const elem_t&, const elem_t&) =
[](const elem_t& x, const elem_t& y) -> bool {
return float_less_than(x.first, y.first);
};
const auto cmp = largest ? elem_greater : elem_less;
bool (*cmp)(const elem_t&, const elem_t&) =
largest ? elem_greater : elem_less;
if (use_partial_sort) {
std::partial_sort(queue, queue + k, queue + dim_size, cmp);
} else {
Expand Down Expand Up @@ -187,7 +190,7 @@ std::tuple<Tensor&, Tensor&> topk_values(
InvalidArgument,
out);

constexpr auto name = "topk.values";
static constexpr auto name = "topk.values";

if (in.numel() == 0 || (k == 0 && in.dim() > 0)) {
return out;
Expand Down
4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_var.cpp
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Expand Up @@ -91,7 +91,7 @@ Tensor& var_out(
const size_t num = get_reduced_dim_product(in, dim_list);
const size_t denom = unbiased ? num - 1 : num;

constexpr auto name = "var.out";
static constexpr auto name = "var.out";

ET_SWITCH_FLOATHBF16_TYPES(in.scalar_type(), ctx, name, CTYPE_IN, [&] {
ET_SWITCH_FLOATHBF16_TYPES(out.scalar_type(), ctx, name, CTYPE_OUT, [&] {
Expand Down Expand Up @@ -123,7 +123,7 @@ Tensor& var_correction_out(
InvalidArgument,
out);

constexpr auto name = "var.correction_out";
static constexpr auto name = "var.correction_out";

double correction_val = 1;
if (correction.has_value()) {
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14 changes: 7 additions & 7 deletions kernels/portable/cpu/op_view_as_real_copy.cpp
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Expand Up @@ -64,13 +64,13 @@ Tensor& view_as_real_copy_out(
ET_KERNEL_CHECK(
ctx, tensors_have_same_dim_order(self, out), InvalidArgument, out);

constexpr auto op_name = "view_as_real_copy.out";
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oh missed one.


ET_SWITCH_COMPLEXH_TYPES(self.scalar_type(), ctx, op_name, CTYPE_IN, [&] {
ET_SWITCH_FLOATH_TYPES(out.scalar_type(), ctx, op_name, CTYPE_OUT, [&] {
_to_impl<CTYPE_IN, CTYPE_OUT>(self, out);
});
});
ET_SWITCH_COMPLEXH_TYPES(
self.scalar_type(), ctx, "view_as_real_copy.out", CTYPE_IN, [&] {
ET_SWITCH_FLOATH_TYPES(
out.scalar_type(), ctx, "view_as_real_copy.out", CTYPE_OUT, [&] {
_to_impl<CTYPE_IN, CTYPE_OUT>(self, out);
});
});

return out;
}
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5 changes: 4 additions & 1 deletion kernels/portable/cpu/util/CMakeLists.txt
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Expand Up @@ -21,7 +21,10 @@ endif()

list(TRANSFORM _kernels_util_all_deps__srcs PREPEND "${EXECUTORCH_ROOT}/")

set(_common_compile_options -Wno-deprecated-declarations)
set(_common_compile_options
$<$<CXX_COMPILER_ID:MSVC>:/wd4996>
$<$<NOT:$<CXX_COMPILER_ID:MSVC>>:-Wno-deprecated-declarations>
)

add_library(kernels_util_all_deps ${_kernels_util_all_deps__srcs})
target_link_libraries(kernels_util_all_deps PRIVATE executorch_core)
Expand Down
4 changes: 2 additions & 2 deletions kernels/portable/cpu/util/elementwise_util.h
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Expand Up @@ -85,7 +85,7 @@ inline void dtype_specialized_elementwise_fn_impl(
static_assert(
(std::is_same_v<Args, std::pair<const Tensor*, SupportedTensorDtypes>> &&
...));
constexpr auto kNumInputs = sizeof...(inputs);
static constexpr auto kNumInputs = sizeof...(inputs);
// All inputs must be of type CTYPE_COMPUTE.
ET_DCHECK(
((inputs.first->scalar_type() ==
Expand Down Expand Up @@ -229,7 +229,7 @@ inline void apply_elementwise_fn_generic_impl(
const Tensor& out,
SupportedTensorDtypes out_dtypes,
Args... inputs) {
constexpr auto kNumInputs = sizeof...(inputs);
static constexpr auto kNumInputs = sizeof...(inputs);

struct InputInfo {
load_to_compute_fn<CTYPE_COMPUTE> load_to_compute;
Expand Down
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