提交 2b430ada 编写于 作者: M minqiyang

Polish code

test=develop
上级 a02ce58f
...@@ -230,13 +230,13 @@ class NCEOpGradVarTypeInference : public framework::VarTypeInference { ...@@ -230,13 +230,13 @@ class NCEOpGradVarTypeInference : public framework::VarTypeInference {
auto attr = op_desc.GetAttr("is_sparse"); auto attr = op_desc.GetAttr("is_sparse");
bool is_sparse = boost::get<bool>(attr); bool is_sparse = boost::get<bool>(attr);
if (is_sparse) { if (is_sparse) {
VLOG(30) << "nce_op_grad op " << weight_grad << " and " << bias_grad VLOG(3) << "nce_op_grad op " << weight_grad << " and " << bias_grad
<< " is set to SelectedRows"; << " is set to SelectedRows";
block->Var(weight_grad) block->Var(weight_grad)
->SetType(framework::proto::VarType::SELECTED_ROWS); ->SetType(framework::proto::VarType::SELECTED_ROWS);
block->Var(bias_grad)->SetType(framework::proto::VarType::SELECTED_ROWS); block->Var(bias_grad)->SetType(framework::proto::VarType::SELECTED_ROWS);
} else { } else {
VLOG(30) << "nce_op_grad op " << weight_grad << " and " << bias_grad VLOG(3) << "nce_op_grad op " << weight_grad << " and " << bias_grad
<< " is set to LoDTensor"; << " is set to LoDTensor";
block->Var(weight_grad)->SetType(framework::proto::VarType::LOD_TENSOR); block->Var(weight_grad)->SetType(framework::proto::VarType::LOD_TENSOR);
block->Var(bias_grad)->SetType(framework::proto::VarType::LOD_TENSOR); block->Var(bias_grad)->SetType(framework::proto::VarType::LOD_TENSOR);
......
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