You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
89 lines
3.0 KiB
89 lines
3.0 KiB
// Copyright (c) 2018 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 <string>
|
|
#include <vector>
|
|
#include "paddle/fluid/framework/eigen.h"
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/platform/enforce.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
using Tensor = framework::Tensor;
|
|
|
|
template <typename T>
|
|
typename std::enable_if<std::is_same<T, bool>::value>::type CopyVecotorToTensor(
|
|
const char* value_name, framework::Tensor* out,
|
|
const framework::ExecutionContext& ctx) {
|
|
// If attribute value dtype is vector<bool>, it will be converted to
|
|
// vector<int>.
|
|
// at the same time, we can not use vector<bool> to hold the value, because
|
|
// the c++ use bit value to replace byte value.
|
|
auto values = ctx.Attr<std::vector<int>>(value_name);
|
|
framework::TensorFromVector(values, ctx.device_context(), out);
|
|
|
|
// use the array to replace to vector
|
|
bool* array_ptr = new T[values.size()];
|
|
for (unsigned int i = 0; i < values.size(); i++) {
|
|
array_ptr[i] = static_cast<T>(values[i]);
|
|
}
|
|
framework::TensorFromArray(array_ptr, values.size(), ctx.device_context(),
|
|
out);
|
|
delete[] array_ptr;
|
|
}
|
|
|
|
template <typename T>
|
|
typename std::enable_if<!std::is_same<T, bool>::value>::type
|
|
CopyVecotorToTensor(const char* value_name, framework::Tensor* out,
|
|
const framework::ExecutionContext& ctx) {
|
|
auto values = ctx.Attr<std::vector<T>>(value_name);
|
|
framework::TensorFromVector(values, ctx.device_context(), out);
|
|
}
|
|
|
|
template <typename T>
|
|
class AssignValueKernel : public framework::OpKernel<T> {
|
|
public:
|
|
virtual void Compute(const framework::ExecutionContext& ctx) const {
|
|
auto shape = ctx.Attr<std::vector<int>>("shape");
|
|
auto* out = ctx.Output<framework::Tensor>("Out");
|
|
int dtype = ctx.Attr<int>("dtype");
|
|
const char* value_name = nullptr;
|
|
switch (dtype) {
|
|
case framework::proto::VarType::BOOL:
|
|
value_name = "bool_values";
|
|
break;
|
|
case framework::proto::VarType::INT32:
|
|
value_name = "int32_values";
|
|
break;
|
|
case framework::proto::VarType::FP32:
|
|
value_name = "fp32_values";
|
|
break;
|
|
case framework::proto::VarType::INT64:
|
|
value_name = "int64_values";
|
|
break;
|
|
default:
|
|
PADDLE_THROW("Unsupported dtype for assign_value_op: %d", dtype);
|
|
break;
|
|
}
|
|
CopyVecotorToTensor<T>(value_name, out, ctx);
|
|
out->Resize(framework::make_ddim(shape));
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|