未验证 提交 a9d79225 编写于 作者: X Xin Pan 提交者: GitHub

Merge pull request #13905 from PaddlePaddle/revert-13872-fix2

Revert "Revert "Revert "Make variable::GetMutable robust"""
......@@ -66,7 +66,7 @@ void InitializeVariable(Variable* var, proto::VarType::Type var_type) {
} else if (var_type == proto::VarType::FETCH_LIST) {
var->GetMutable<FeedFetchList>();
} else if (var_type == proto::VarType::STEP_SCOPES) {
var->GetMutable<std::vector<framework::Scope*>>();
var->GetMutable<std::vector<framework::Scope>>();
} else if (var_type == proto::VarType::LOD_RANK_TABLE) {
var->GetMutable<LoDRankTable>();
} else if (var_type == proto::VarType::LOD_TENSOR_ARRAY) {
......
......@@ -27,7 +27,8 @@ void SetFeedVariable(Scope* scope, const LoDTensor& input,
// be created.
VLOG(3) << "SetFeedVariable name=" << var_name << " index=" << index;
Variable* g_feed_value = scope->Var(var_name);
auto& feed_inputs = *(g_feed_value->GetMutable<FeedFetchList>());
auto& feed_inputs =
*(g_feed_value->GetMutable<std::vector<paddle::framework::LoDTensor>>());
if (index >= feed_inputs.size()) {
feed_inputs.resize(index + 1);
}
......
......@@ -37,7 +37,7 @@ static void InitializeVariable(Variable *var, proto::VarType::Type var_type) {
} else if (var_type == proto::VarType::FETCH_LIST) {
var->GetMutable<FeedFetchList>();
} else if (var_type == proto::VarType::STEP_SCOPES) {
var->GetMutable<std::vector<framework::Scope *>>();
var->GetMutable<std::vector<framework::Scope>>();
} else if (var_type == proto::VarType::LOD_RANK_TABLE) {
var->GetMutable<LoDRankTable>();
} else if (var_type == proto::VarType::LOD_TENSOR_ARRAY) {
......
......@@ -59,7 +59,6 @@ class VarDesc {
public:
explicit VarDesc(const std::string &name) {
desc_.set_name(name);
// TODO(paddle-dev): Why default to lodtensor.
desc_.mutable_type()->set_type(proto::VarType::LOD_TENSOR);
}
......
......@@ -38,12 +38,8 @@ class Variable {
template <typename T>
T* GetMutable() {
if (!holder_) {
if (!IsType<T>()) {
holder_.reset(new PlaceholderImpl<T>(new T()));
} else {
PADDLE_ENFORCE(IsType<T>(),
"Variable must be type %s, the holding type is %s",
typeid(T).name(), holder_->Type().name());
}
return static_cast<T*>(holder_->Ptr());
}
......
......@@ -33,10 +33,9 @@ TEST(Variable, GetMutable) {
const Tensor& tt = v->Get<Tensor>();
EXPECT_EQ(1234, tt.content_);
try {
v->GetMutable<std::string>();
} catch (std::exception& e) {
return;
}
EXPECT_TRUE(false);
std::string* s = v->GetMutable<std::string>();
*s = "hello";
const std::string& ss = v->Get<std::string>();
EXPECT_EQ("hello", ss);
}
......@@ -397,24 +397,6 @@ class ParallelDoGradOpShapeInference : public framework::InferShapeBase {
}
};
class ParallelDoGradOpVarTypeInference : public framework::VarTypeInference {
public:
void operator()(const framework::OpDesc &op_desc,
framework::BlockDesc *block) const override {
framework::BlockDesc *sub_block =
boost::get<framework::BlockDesc *>(op_desc.GetAttr(kParallelBlock));
for (auto &out_vars : op_desc.Outputs()) {
for (auto &out_var : out_vars.second) {
auto &var = block->FindRecursiveOrCreateVar(out_var);
auto sub_var = sub_block->FindRecursiveOrCreateVar(out_var);
if (sub_var.GetType() != var.GetType()) {
var.SetType(sub_var.GetType());
}
}
}
}
};
} // namespace operators
} // namespace paddle
......@@ -422,5 +404,4 @@ REGISTER_OPERATOR(parallel_do, paddle::operators::ParallelDoOp,
paddle::operators::ParallelDoOpProtoMaker,
paddle::operators::ParallelDoGradOpDescMaker);
REGISTER_OPERATOR(parallel_do_grad, paddle::operators::ParallelDoGradOp,
paddle::operators::ParallelDoGradOpShapeInference,
paddle::operators::ParallelDoGradOpVarTypeInference);
paddle::operators::ParallelDoGradOpShapeInference);
......@@ -1267,7 +1267,7 @@ class ConditionalBlock(object):
]
step_scope = parent_block.create_var(
name='control_scope', type=core.VarDesc.VarType.STEP_SCOPES)
type=core.VarDesc.VarType.STEP_SCOPES)
parent_block.append_op(
type='conditional_block',
inputs={
......
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