// 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; struct MutableTensorData : public MutableTensorDataImpl { using MutableTensorDataImpl::MutableTensorDataImpl; ADT_DEFINE_VARIANT_METHODS(MutableTensorDataImpl); template T* data() const { return Match( [](phi::DenseTensor* tensor) -> T* { return reinterpret_cast(tensor->data()); }, [](const TypedBuffer& buffer) -> T* { return reinterpret_cast(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 struct MutableTensorImpl { MutableTensorData tensor_data; adt::List dims; bool operator==(const MutableTensorImpl& other) const { return other.tensor_data == this->tensor_data && other.dims == this->dims; } }; template ADT_DEFINE_RC(MutableTensor, MutableTensorImpl); } // namespace ap::kernel_dispatch