chore: import upstream snapshot with attribution

paddle/phi/kernels/gpu/ap_variadic_kernel.cu

@@ -0,0 +1,126 @@
+// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/gpu/ap_variadic_kernel.h"
+#include "paddle/ap/include/axpr/data_type_util.h"
+#include "paddle/ap/include/kernel_dispatch/ap_variadic_kernel.h"
+#include "paddle/ap/include/paddle/phi/device_ctx.h"
+#include "paddle/common/enforce.h"
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename Context>
+void AllocateOutTensors(const Context& dev_ctx,
+                        const std::vector<DenseTensor*>& outs) {
+  for (auto* out : outs) {
+    auto out_dtype = ap::axpr::GetDataTypeFromPhiDataType(out->dtype());
+    PADDLE_ENFORCE_EQ(out_dtype.HasOkValue(),
+                      true,
+                      common::errors::InvalidArgument(
+                          "GetDataTypeFromPhiDataType() failed !"));
+
+    out_dtype.GetOkValue().Match(
+        [&](const ap::axpr::CppDataType<ap::adt::Undefined>&) {
+          PADDLE_THROW(common::errors::InvalidArgument(
+              "allocate not support undefined !"));
+        },
+        [&](const ap::axpr::CppDataType<uint64_t>&) {
+          PADDLE_THROW(common::errors::InvalidArgument(
+              "allocate not support uint64_t !"));
+        },
+        [&](const ap::axpr::CppDataType<uint32_t>&) {
+          PADDLE_THROW(common::errors::InvalidArgument(
+              "allocate not support uint32_t !"));
+        },
+        [&](const ap::axpr::CppDataType<uint16_t>&) {
+          PADDLE_THROW(common::errors::InvalidArgument(
+              "allocate not support uint16_t !"));
+        },
+        [&](const auto& impl) {
+          using tensor_type = typename std::decay_t<decltype(impl)>::type;
+          dev_ctx.template Alloc<tensor_type>(out);
+        });
+  }
+  return;
+}
+
+template <typename T, typename Context>
+void ApVariadicKernel(const Context& dev_ctx,
+                      const std::vector<const DenseTensor*>& xs,
+                      int num_outputs,
+                      const std::string& code_module_lambda,
+                      const std::string& infer_symbolic_lambda,
+                      const std::string& infer_meta_lambda,
+                      const std::string& kernel_dispatch_lambda,
+                      const std::string& kernel_dispatch_const_data_lambda,
+                      std::vector<DenseTensor*> outs) {
+  PADDLE_ENFORCE_GT(
+      xs.size(),
+      0,
+      common::errors::InvalidArgument(
+          "At least 1 input is required. current number out uts: // %d",
+          xs.size()));
+  PADDLE_ENFORCE_GT(
+      outs.size(),
+      0,
+      common::errors::InvalidArgument(
+          "num_outputs must be greater than 1. current _outputs: // %d",
+          outs.size()));
+
+  AllocateOutTensors<Context>(dev_ctx, outs);
+  std::shared_ptr<ap::kernel_dispatch::DeviceCtxImpl> impl =
+      std::make_shared<ap::paddle::DeviceCtx<Context>>(&dev_ctx);
+  ap::kernel_dispatch::DeviceCtx ap_device_ctx{impl};
+  const auto& ret =
+      ap::kernel_dispatch::ApVariadicKernel(ap_device_ctx,
+                                            xs,
+                                            num_outputs,
+                                            code_module_lambda,
+                                            infer_meta_lambda,
+                                            kernel_dispatch_lambda,
+                                            kernel_dispatch_const_data_lambda,
+                                            outs);
+  PADDLE_ENFORCE_EQ(
+      ret.HasError(),
+      false,
+      common::errors::Fatal("ap_variadic failed. \nTraceback (most "
+                            "recent call last):\n%s\n%s: %s. ",
+                            ret.GetError().CallStackToString(),
+                            ret.GetError().class_name(),
+                            ret.GetError().msg()));
+}
+
+}  // namespace phi
+
+#ifdef PADDLE_WITH_HIP
+PD_REGISTER_KERNEL(ap_variadic,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ApVariadicKernel,
+                   float,
+                   double,
+                   phi::float16) {}
+#else
+PD_REGISTER_KERNEL(ap_variadic,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ApVariadicKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   phi::bfloat16) {}
+#endif