add static

JacobSzwejbka · JacobSzwejbka · commit 83cf868b647a · 2025-10-20T12:12:42.000-07:00
diff --git a/kernels/portable/cpu/op_convolution_backward.cpp b/kernels/portable/cpu/op_convolution_backward.cpp
@@ -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>(
diff --git a/kernels/portable/cpu/op_gather.cpp b/kernels/portable/cpu/op_gather.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_max.cpp b/kernels/portable/cpu/op_max.cpp
@@ -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, [&] {
diff --git a/kernels/portable/cpu/op_max_pool2d_with_indices_backward.cpp b/kernels/portable/cpu/op_max_pool2d_with_indices_backward.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_min.cpp b/kernels/portable/cpu/op_min.cpp
@@ -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, [&] {
diff --git a/kernels/portable/cpu/op_native_batch_norm.cpp b/kernels/portable/cpu/op_native_batch_norm.cpp
@@ -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>();
@@ -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>();
diff --git a/kernels/portable/cpu/op_native_group_norm.cpp b/kernels/portable/cpu/op_native_group_norm.cpp
@@ -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>(
diff --git a/kernels/portable/cpu/op_pdist_forward.cpp b/kernels/portable/cpu/op_pdist_forward.cpp
@@ -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); });
diff --git a/kernels/portable/cpu/op_prod.cpp b/kernels/portable/cpu/op_prod.cpp
@@ -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, [&] {
@@ -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, [&] {
diff --git a/kernels/portable/cpu/op_reflection_pad1d.cpp b/kernels/portable/cpu/op_reflection_pad1d.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_reflection_pad2d.cpp b/kernels/portable/cpu/op_reflection_pad2d.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_reflection_pad3d.cpp b/kernels/portable/cpu/op_reflection_pad3d.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_repeat_interleave.cpp b/kernels/portable/cpu/op_repeat_interleave.cpp
@@ -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>();
diff --git a/kernels/portable/cpu/op_replication_pad1d.cpp b/kernels/portable/cpu/op_replication_pad1d.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_replication_pad2d.cpp b/kernels/portable/cpu/op_replication_pad2d.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_replication_pad3d.cpp b/kernels/portable/cpu/op_replication_pad3d.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_roll.cpp b/kernels/portable/cpu/op_roll.cpp
@@ -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>();
diff --git a/kernels/portable/cpu/op_scalar_tensor.cpp b/kernels/portable/cpu/op_scalar_tensor.cpp
@@ -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);
diff --git a/kernels/portable/cpu/op_scatter.cpp b/kernels/portable/cpu/op_scatter.cpp
@@ -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);
@@ -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);
diff --git a/kernels/portable/cpu/op_topk.cpp b/kernels/portable/cpu/op_topk.cpp
@@ -198,7 +198,7 @@ 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;
diff --git a/kernels/portable/cpu/op_var.cpp b/kernels/portable/cpu/op_var.cpp
@@ -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, [&] {
@@ -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()) {

Original file line number	Diff line number	Diff line change
`@@ -305,7 +305,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> convolution_backward_out(`
`305`	`305`	`ret_val);`
`306`	`306`	`}`
`307`	`307`
`308`		`- constexpr auto name = "convolution_backward.out";`
	`308`	`+ static constexpr auto name = "convolution_backward.out";`
`309`	`309`
`310`	`310`	`ET_SWITCH_FLOATHBF16_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {`
`311`	`311`	`conv2d_backward_impl<CTYPE>(`
Original file line number	Diff line number	Diff line change
`@@ -190,7 +190,7 @@ std::tuple<Tensor&, Tensor&, Tensor&> native_group_norm_out(`
`190`	`190`	`ret_val);`
`191`	`191`	`}`
`192`	`192`
`193`		`- constexpr auto name = "native_group_norm.out";`
	`193`	`+ static constexpr auto name = "native_group_norm.out";`
`194`	`194`
`195`	`195`	`ET_SWITCH_FLOATHBF16_TYPES(input.scalar_type(), ctx, name, CTYPE, [&]() {`
`196`	`196`	`group_norm<CTYPE>(`