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.
97 lines
3.1 KiB
97 lines
3.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
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/framework/var_desc.h"
|
|
#include "paddle/platform/enforce.h"
|
|
|
|
namespace paddle {
|
|
namespace framework {
|
|
|
|
proto::VarDesc::VarType VarDesc::GetType() const { return desc_.type(); }
|
|
|
|
void VarDesc::SetType(proto::VarDesc::VarType type) { desc_.set_type(type); }
|
|
|
|
void VarDesc::SetShape(const std::vector<int64_t> &dims) {
|
|
VectorToRepeated(dims, mutable_tensor_desc()->mutable_dims());
|
|
}
|
|
|
|
void VarDesc::SetDataType(proto::DataType data_type) {
|
|
mutable_tensor_desc()->set_data_type(data_type);
|
|
}
|
|
|
|
std::vector<int64_t> VarDesc::Shape() const {
|
|
return RepeatedToVector(tensor_desc().dims());
|
|
}
|
|
|
|
proto::DataType VarDesc::GetDataType() const {
|
|
return tensor_desc().data_type();
|
|
}
|
|
|
|
void VarDesc::SetLoDLevel(int32_t lod_level) {
|
|
switch (desc_.type()) {
|
|
case proto::VarDesc::LOD_TENSOR:
|
|
desc_.mutable_lod_tensor()->set_lod_level(lod_level);
|
|
break;
|
|
case proto::VarDesc::LOD_TENSOR_ARRAY:
|
|
desc_.mutable_tensor_array()->set_lod_level(lod_level);
|
|
break;
|
|
default:
|
|
PADDLE_THROW("Tensor type=%d does not support LoDLevel",
|
|
desc_.tensor_array().lod_level());
|
|
}
|
|
}
|
|
|
|
int32_t VarDesc::GetLoDLevel() const {
|
|
switch (desc_.type()) {
|
|
case proto::VarDesc::LOD_TENSOR:
|
|
return desc_.lod_tensor().lod_level();
|
|
case proto::VarDesc::LOD_TENSOR_ARRAY:
|
|
return desc_.tensor_array().lod_level();
|
|
default:
|
|
PADDLE_THROW("Tensor type=%d does not support LoDLevel",
|
|
desc_.tensor_array().lod_level());
|
|
}
|
|
}
|
|
|
|
const proto::TensorDesc &VarDesc::tensor_desc() const {
|
|
PADDLE_ENFORCE(desc_.has_type(), "invoke TensorDesc must after set type");
|
|
switch (desc_.type()) {
|
|
case proto::VarDesc::SELECTED_ROWS:
|
|
return desc_.selected_rows();
|
|
case proto::VarDesc::LOD_TENSOR:
|
|
return desc_.lod_tensor().tensor();
|
|
case proto::VarDesc::LOD_TENSOR_ARRAY:
|
|
return desc_.tensor_array().tensor();
|
|
default:
|
|
PADDLE_THROW("The type of var '", this->Name(), "' is unsupported.");
|
|
}
|
|
}
|
|
|
|
proto::TensorDesc *VarDesc::mutable_tensor_desc() {
|
|
PADDLE_ENFORCE(desc_.has_type(),
|
|
"invoke MutableTensorDesc must after set type");
|
|
switch (desc_.type()) {
|
|
case proto::VarDesc::SELECTED_ROWS:
|
|
return desc_.mutable_selected_rows();
|
|
case proto::VarDesc::LOD_TENSOR:
|
|
return desc_.mutable_lod_tensor()->mutable_tensor();
|
|
case proto::VarDesc::LOD_TENSOR_ARRAY:
|
|
return desc_.mutable_tensor_array()->mutable_tensor();
|
|
default:
|
|
PADDLE_THROW("Unexpected branch.");
|
|
}
|
|
}
|
|
} // namespace framework
|
|
} // namespace paddle
|