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paddlepaddle--paddle/paddle/fluid/primitive/base/lazy_tensor.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2023 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/common/ddim.h"
#include "paddle/fluid/pir/dialect/operator/ir/op_type.h"
#include "paddle/fluid/pir/dialect/operator/utils/utils.h"
#include "paddle/phi/core/extended_tensor.h"
#include "paddle/phi/core/utils/data_type.h"
#include "paddle/pir/include/core/value.h"
namespace paddle {
namespace primitive {
class LazyTensor : public phi::ExtendedTensor,
public phi::TypeInfoTraits<phi::TensorBase, LazyTensor> {
public:
explicit LazyTensor(pir::Value value)
: value_(value),
dims_(value.type().dyn_cast<dialect::DenseTensorType>().dims()) {}
static const char* name() { return "LazyTensor"; }
const DDim& dims() const override { return dims_; }
int64_t numel() const override { return product(dims()); }
DataType dtype() const override {
return paddle::dialect::TransToPhiDataType(
value_.type().dyn_cast<paddle::dialect::DenseTensorType>().dtype());
}
pir::Value value() const { return value_; }
const phi::Place& place() const override { return place_; }
bool initialized() const override { return value_.impl() != nullptr; }
void set_empty() { value_.set_type(pir::Type()); }
private:
pir::Value value_;
mutable DDim dims_;
Place place_;
};
} // namespace primitive
} // namespace paddle