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- // Copyright (c) 2022 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 "ultra_infer/function/full.h"
- #include "ultra_infer/function/eigen.h"
- #include <algorithm>
- namespace ultra_infer {
- namespace function {
- template <typename T> void FullValue(FDTensor *tensor, const Scalar &val) {
- auto t = EigenVector<T>::Flatten(*tensor);
- auto &place = *EigenDeviceWrapper::GetInstance()->GetDevice();
- t.device(place) = t.constant(val.to<T>());
- }
- void Full(const Scalar &value, const std::vector<int64_t> &shape, FDTensor *out,
- FDDataType dtype) {
- FD_VISIT_ALL_TYPES(dtype, "Full", ([&] {
- out->Allocate(shape, dtype);
- FullValue<data_t>(out, value);
- }));
- }
- void FullLike(const FDTensor &x, const Scalar &value, FDTensor *out,
- FDDataType dtype) {
- Full(value, x.Shape(), out, dtype);
- }
- } // namespace function
- } // namespace ultra_infer
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