Skip to content

Fix warning when building kernel libraries #15405

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 5 commits into from
Oct 29, 2025
Merged

Fix warning when building kernel libraries #15405

Show file tree
Hide file tree
Changes from 3 commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
9bc4b60
Fix warning when building kernel libraries
larryliu0820 Oct 27, 2025
ad3f2b0
Fix more warnings on GCC
larryliu0820 Oct 28, 2025
af0cff8
Fix elu
larryliu0820 Oct 28, 2025
801a9e0
Add explicit template variable to map
larryliu0820 Oct 29, 2025
c23e44f
More
larryliu0820 Oct 29, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions kernels/optimized/CMakeLists.txt
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ endif()
set(_common_compile_options
$<$<CXX_COMPILER_ID:MSVC>:/wd4996>
$<$<NOT:$<CXX_COMPILER_ID:MSVC>>:-Wno-deprecated-declarations>
$<$<CXX_COMPILER_ID:GNU>:-Wno-psabi>
)

# Note for apple platform we can rely on Accelerate framework Will come back to
Expand Down
6 changes: 3 additions & 3 deletions kernels/optimized/cpu/op_add.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@ Tensor& opt_add_out(
CTYPE b_val = *b.const_data_ptr<CTYPE>();

using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[alpha_val, b_val](Vec x) { return x + Vec(alpha_val * b_val); },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand All @@ -86,7 +86,7 @@ Tensor& opt_add_out(
CTYPE b_casted = static_cast<CTYPE>(b_val);

using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[alpha_val, b_casted](Vec x) {
return x + Vec(alpha_val * b_casted);
},
Expand Down Expand Up @@ -140,7 +140,7 @@ Tensor& opt_add_scalar_out(
ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );

using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[alpha_val, b_casted](Vec x) {
return x + Vec(alpha_val * b_casted);
},
Expand Down
8 changes: 4 additions & 4 deletions kernels/optimized/cpu/op_div.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -86,14 +86,14 @@ Tensor& opt_div_out(

using Vec = at::vec::Vectorized<CTYPE>;
if (a.numel() == 1) {
at::vec::map<CTYPE>(
at::vec::map(
[scalar_casted](Vec x) { return Vec(scalar_casted) / x; },
out.mutable_data_ptr<CTYPE>(),
tensor->const_data_ptr<CTYPE>(),
out.numel());
} else {
Vec inv_scalar_casted_vec(CTYPE(1) / scalar_casted);
at::vec::map<CTYPE>(
at::vec::map(
[inv_scalar_casted_vec](Vec x) {
return x * inv_scalar_casted_vec;
},
Expand All @@ -111,7 +111,7 @@ Tensor& opt_div_out(
if (selected_optimized_path == ElementwiseOptimizedPath::kTreatAs1d) {
ET_SWITCH_REALB_TYPES(out_type, ctx, op_name, CTYPE, [&]() {
using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map2<CTYPE>(
at::vec::map2(
[](Vec x, Vec y) { return x / y; },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand Down Expand Up @@ -193,7 +193,7 @@ Tensor& opt_div_scalar_out(

using Vec = at::vec::Vectorized<CTYPE>;
Vec inv_b_casted_vec(CTYPE(1) / b_casted);
at::vec::map<CTYPE>(
at::vec::map(
[inv_b_casted_vec](Vec x) { return x * inv_b_casted_vec; },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand Down
2 changes: 1 addition & 1 deletion kernels/optimized/cpu/op_elu.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@ void elu(
0,
out.numel(),
::executorch::extension::internal::GRAIN_SIZE,
[&](const auto begin, const auto end) {
[&](const auto& begin, const auto& end) {
using Vec = at::vec::Vectorized<CTYPE>;
const auto vectorized_begin =
begin + (Vec::size() - begin % Vec::size()) % Vec::size();
Expand Down
3 changes: 1 addition & 2 deletions kernels/optimized/cpu/op_exp.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,8 +35,7 @@ void exp_data(
const size_t numel,
CTYPE_OUT* out_data) {
using Vec = at::vec::Vectorized<CTYPE_IN>;
at::vec::map<CTYPE_IN>(
[](Vec x) { return x.exp(); }, out_data, in_data, numel);
at::vec::map([](Vec x) { return x.exp(); }, out_data, in_data, numel);
}

/**
Expand Down
4 changes: 2 additions & 2 deletions kernels/optimized/cpu/op_le.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ Tensor& opt_le_tensor_out(
if (selected_optimized_path == ElementwiseOptimizedPath::kTreatAs1d) {
ET_SWITCH_REALB_TYPES(a_type, ctx, op_name, CTYPE, [&]() {
using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map2<CTYPE>(
at::vec::map2(
[](Vec x, Vec y) { return x.le(y); },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand Down Expand Up @@ -95,7 +95,7 @@ Tensor& opt_le_scalar_out(
ET_EXTRACT_SCALAR(b, b_val);
CTYPE b_casted = static_cast<CTYPE>(b_val);
using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[b_casted](Vec x) { return x.le(Vec(b_casted)); },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand Down
2 changes: 1 addition & 1 deletion kernels/optimized/cpu/op_log_softmax.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@ void log_softmax_kernel(const Tensor& input, int64_t dim, Tensor& out) {
0,
outer_size,
::executorch::extension::internal::GRAIN_SIZE,
[&](const auto begin, const auto end) {
[&](const auto& begin, const auto& end) {
at::native::serial_vec_log_softmax_lastdim_range(
input_data_base,
output_data_base,
Expand Down
8 changes: 4 additions & 4 deletions kernels/optimized/cpu/op_mul.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@ Tensor& opt_mul_out(
CTYPE b_casted = static_cast<CTYPE>(b_val);

using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[b_casted](Vec x) { return x * Vec(b_casted); },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand All @@ -76,7 +76,7 @@ Tensor& opt_mul_out(

ET_SWITCH_COMPLEXH_TYPES(out_type, ctx, op_name, CTYPE, [&]() {
using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map2<CTYPE>(
at::vec::map2(
[](Vec x, Vec y) { return x * y; },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand All @@ -86,7 +86,7 @@ Tensor& opt_mul_out(
} else {
ET_SWITCH_REALB_TYPES(out_type, ctx, op_name, CTYPE, [&]() {
using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map2<CTYPE>(
at::vec::map2(
[](Vec x, Vec y) { return x * y; },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand Down Expand Up @@ -173,7 +173,7 @@ Tensor& opt_mul_scalar_out(
CTYPE b_casted = utils::scalar_to<CTYPE>(b);

using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[b_casted](Vec x) { return x * Vec(b_casted); },
out.mutable_data_ptr<CTYPE>(),
a.const_data_ptr<CTYPE>(),
Expand Down
2 changes: 1 addition & 1 deletion kernels/optimized/cpu/op_native_layer_norm.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -91,7 +91,7 @@ void layer_norm(
dst_ptr[j] = (src_ptr[j] * scale + offset) * gamma_v + beta_v;
}
} else {
at::vec::map3<CTYPE>(
at::vec::map3(
[scale, offset](auto x, auto gamma, auto beta) {
using Vec = decltype(x);
return (x * Vec(scale) + Vec(offset)) * gamma + beta;
Expand Down
6 changes: 3 additions & 3 deletions kernels/optimized/cpu/op_sub.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -85,15 +85,15 @@ Tensor& opt_sub_out(

using Vec = at::vec::Vectorized<CTYPE>;
if (a.numel() == 1) {
at::vec::map<CTYPE>(
at::vec::map(
[alpha_val, scalar_casted](Vec x) {
return Vec(scalar_casted) - Vec(alpha_val) * x;
},
out.mutable_data_ptr<CTYPE>(),
tensor->const_data_ptr<CTYPE>(),
out.numel());
} else {
at::vec::map<CTYPE>(
at::vec::map(
[alpha_val, scalar_casted](Vec x) {
return x - Vec(alpha_val * scalar_casted);
},
Expand Down Expand Up @@ -148,7 +148,7 @@ Tensor& opt_sub_scalar_out(
ctx, utils::extract_scalar(alpha, &alpha_val), InvalidArgument, );

using Vec = at::vec::Vectorized<CTYPE>;
at::vec::map<CTYPE>(
at::vec::map(
[alpha_val, b_casted](Vec x) {
return x - Vec(alpha_val * b_casted);
},
Expand Down
4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_add.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,7 @@ Tensor& add_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::REALHBBF16>(
[val_alpha](const auto val_a, const auto val_b) {
[val_alpha](const auto& val_a, const auto& val_b) {
return val_a + val_alpha * val_b;
},
ctx,
Expand Down Expand Up @@ -136,7 +136,7 @@ Tensor& add_scalar_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::SAME_AS_COMMON>(
[val_alpha_times_b](const auto val_a) {
[val_alpha_times_b](const auto& val_a) {
// Cast here supports vectorization; either it does nothing
// or it casts from CTYPE_COMPUTE to
// Vectorized<CTYPE_COMPUTE>.
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_addmm.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@ Tensor& addmm_out(
CTYPE,
op_name,
utils::SupportedTensorDtypes::REALHBF16>(
[alpha_val, beta_val](const auto val_a, const auto val_b) {
[alpha_val, beta_val](const auto& val_a, const auto& val_b) {
return val_a * alpha_val + val_b * beta_val;
},
ctx,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_atan2.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ Tensor& atan2_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::FLOATHBF16>(
[](const auto val_a, const auto val_b) {
[](const auto& val_a, const auto& val_b) {
return executorch::math::atan2(val_a, val_b);
},
ctx,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_clamp.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -139,7 +139,7 @@ Tensor& clamp_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::SAME_AS_COMMON>(
[has_min, min_opt, has_max, max_opt](const auto val_in) {
[has_min, min_opt, has_max, max_opt](const auto& val_in) {
auto val_out = val_in;
if (has_min) {
val_out = utils::max_override(
Expand Down
4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_div.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ Tensor& div_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::FLOATHBF16>(
[](const auto val_a, const auto val_b) { return val_a / val_b; },
[](const auto& val_a, const auto& val_b) { return val_a / val_b; },
ctx,
a,
utils::SupportedTensorDtypes::REALHBBF16,
Expand Down Expand Up @@ -195,7 +195,7 @@ Tensor& div_scalar_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::SAME_AS_COMMON>(
[val_b](const auto val_a) { return val_a / val_b; },
[val_b](const auto& val_a) { return val_a / val_b; },
ctx,
a,
utils::SupportedTensorDtypes::REALHBBF16,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_fmod.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -138,7 +138,7 @@ Tensor& fmod_Scalar_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::REALHBF16>(
[val_b](const auto val_a) {
[val_b](const auto& val_a) {
return executorch::math::fmod(val_a, (decltype(val_a))val_b);
},
ctx,
Expand Down
13 changes: 12 additions & 1 deletion kernels/portable/cpu/op_isinf.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,18 @@ namespace torch {
namespace executor {
namespace native {

DEFINE_UNARY_UFUNC_REALHBBF16_TO_BOOL(isinf_out, std::isinf)
bool isinf_float(float x) {
return std::isinf(x);
}

bool isinf_double(double x) {
return std::isinf(x);
}

Tensor& isinf_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
return internal::unary_ufunc_realhbbf16_to_bool(
isinf_float, isinf_double, ctx, in, out);
}

} // namespace native
} // namespace executor
Expand Down
12 changes: 11 additions & 1 deletion kernels/portable/cpu/op_isnan.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,8 +13,18 @@
namespace torch {
namespace executor {
namespace native {
bool isnan_float(float x) {
return std::isnan(x);
}

DEFINE_UNARY_UFUNC_REALHBBF16_TO_BOOL(isnan_out, std::isnan)
bool isnan_double(double x) {
return std::isnan(x);
}

Tensor& isnan_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
return internal::unary_ufunc_realhbbf16_to_bool(
isnan_float, isnan_double, ctx, in, out);
}

} // namespace native
} // namespace executor
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_maximum.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ Tensor& maximum_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::REALHBBF16>(
[](const auto val_a, const auto val_b) {
[](const auto& val_a, const auto& val_b) {
return utils::max_override(val_a, val_b);
},
ctx,
Expand Down
4 changes: 2 additions & 2 deletions kernels/portable/cpu/op_mul.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@ Tensor& mul_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::REALHBBF16>(
[](const auto val_a, const auto val_b) { return val_a * val_b; },
[](const auto& val_a, const auto& val_b) { return val_a * val_b; },
ctx,
a,
utils::SupportedTensorDtypes::REALHBBF16,
Expand Down Expand Up @@ -116,7 +116,7 @@ Tensor& mul_scalar_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::SAME_AS_COMMON>(
[val_b](const auto val_a) { return val_a * val_b; },
[val_b](const auto& val_a) { return val_a * val_b; },
ctx,
a,
utils::SupportedTensorDtypes::REALHBBF16,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_neg.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ Tensor& neg_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
CTYPE,
op_name,
utils::SupportedTensorDtypes::SAME_AS_COMMON>(
[](const auto val_in) { return -val_in; },
[](const auto& val_in) { return -val_in; },
ctx,
in,
utils::SupportedTensorDtypes::REALHBF16,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_pow.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@ Tensor& pow_Tensor_Tensor_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::REALHBF16>(
[](const auto val_a, const auto val_b) {
[](const auto& val_a, const auto& val_b) {
return executorch::math::pow(val_a, val_b);
},
ctx,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_rsub.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -56,7 +56,7 @@ Tensor& rsub_scalar_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::SAME_AS_COMMON>(
[val_b, val_alpha](const auto val_a) {
[val_b, val_alpha](const auto& val_a) {
return val_b - val_alpha * val_a;
},
ctx,
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_sigmoid.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ Tensor& sigmoid_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::FLOATHBF16>(
[](const auto val_in) {
[](const auto& val_in) {
const auto one = static_cast<decltype(val_in)>(1.0);
auto out_val = one / (one + executorch::math::exp(-val_in));
return out_val;
Expand Down
2 changes: 1 addition & 1 deletion kernels/portable/cpu/op_sub.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ Tensor& sub_out(
CTYPE_COMPUTE,
op_name,
utils::SupportedTensorDtypes::REALHBF16>(
[val_alpha](const auto val_a, const auto val_b) {
[val_alpha](const auto& val_a, const auto& val_b) {
return val_a - (decltype(val_b))(val_alpha)*val_b;
},
ctx,
Expand Down
Loading