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transform_general_functions.cc
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transform_general_functions.cc
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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.
#include "paddle/fluid/pir/transforms/transform_general_functions.h"
#include "paddle/fluid/pir/dialect/operator/ir/op_dialect.h"
#include "paddle/fluid/pir/dialect/operator/ir/op_type.h"
#include "paddle/pir/core/builtin_op.h"
#include "paddle/pir/core/parameter.h"
#include "paddle/pir/core/program.h"
namespace pir {
std::string GetParameterNameFromValue(pir::Value value) {
pir::GetParameterOp op =
value.dyn_cast<OpResult>().owner()->dyn_cast<pir::GetParameterOp>();
PADDLE_ENFORCE_NOT_NULL(
op,
phi::errors::InvalidArgument(
"Value must be a weight from a GetParameter op."));
pir::Program* program = op->GetParentProgram();
PADDLE_ENFORCE_NOT_NULL(
program, phi::errors::InvalidArgument("Program should not be null."));
std::string name = op->attributes()
.at(op.attributes_name[0])
.dyn_cast<pir::StrAttribute>()
.AsString();
return name;
}
const phi::DDim& GetShapeFromValue(pir::Value value) {
// TODO(dev): Support other types like DenseTensor.
PADDLE_ENFORCE_EQ(
value.type().isa<paddle::dialect::DenseTensorType>(),
true,
phi::errors::InvalidArgument("Value's type must be a DenseTensorType."));
return value.type().dyn_cast<paddle::dialect::DenseTensorType>().dims();
}
pir::Type GetDataTypeFromValue(pir::Value value) {
// TODO(dev): Support other types like DenseTensor.
PADDLE_ENFORCE_EQ(
value.type().isa<paddle::dialect::DenseTensorType>(),
true,
phi::errors::InvalidArgument("Value's type must be a DenseTensorType."));
return value.type().dyn_cast<paddle::dialect::DenseTensorType>().dtype();
}
Operation* GetDefiningOpForInput(Operation* op, uint32_t index) {
PADDLE_ENFORCE_EQ(
index < op->num_operands(),
true,
phi::errors::InvalidArgument("Intput operand's index must be valid."));
return op->operand_source(index).dyn_cast<OpResult>().owner();
}
Operation* GetFirstUseOperationForOutput(Operation* op, uint32_t index) {
PADDLE_ENFORCE_EQ(
index < op->num_results(),
true,
phi::errors::InvalidArgument("Output op result's index must be valid."));
return op->result(index).first_use().owner();
}
} // namespace pir