chore: import upstream snapshot with attribution

paddle/ap/include/kernel_dispatch/mutable_tensor.h

@@ -0,0 +1,68 @@
+// Copyright (c) 2024 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.
+
+#pragma once
+#include "paddle/ap/include/adt/adt.h"
+#include "paddle/ap/include/axpr/type.h"
+#include "paddle/ap/include/code_module/data_type.h"
+#include "paddle/ap/include/kernel_dispatch/typed_buffer.h"
+#include "paddle/phi/core/dense_tensor.h"
+
+namespace phi {
+
+class DenseTensor;
+
+}
+
+namespace ap::kernel_dispatch {
+
+using MutableTensorDataImpl = std::variant<phi::DenseTensor*, TypedBuffer>;
+struct MutableTensorData : public MutableTensorDataImpl {
+  using MutableTensorDataImpl::MutableTensorDataImpl;
+  ADT_DEFINE_VARIANT_METHODS(MutableTensorDataImpl);
+
+  template <typename T>
+  T* data() const {
+    return Match(
+        [](phi::DenseTensor* tensor) -> T* {
+          return reinterpret_cast<T*>(tensor->data());
+        },
+        [](const TypedBuffer& buffer) -> T* {
+          return reinterpret_cast<T*>(buffer->buffer);
+        });
+  }
+  void* data() const {
+    return Match(
+        [](phi::DenseTensor* tensor) -> void* { return tensor->data(); },
+        [](const TypedBuffer& buffer) -> void* { return buffer->buffer; });
+  }
+  phi::DataType dtype() const {
+    return Match([](phi::DenseTensor* tensor) { return tensor->dtype(); },
+                 [](const TypedBuffer& buffer) { return buffer->dtype; });
+  }
+};
+
+template <typename ValueT>
+struct MutableTensorImpl {
+  MutableTensorData tensor_data;
+  adt::List<ValueT> dims;
+
+  bool operator==(const MutableTensorImpl& other) const {
+    return other.tensor_data == this->tensor_data && other.dims == this->dims;
+  }
+};
+template <typename ValueT>
+ADT_DEFINE_RC(MutableTensor, MutableTensorImpl<ValueT>);
+
+}  // namespace ap::kernel_dispatch