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Diffstat (limited to 'tensorflow/contrib/lite/toco/graph_transformations/unfuse_activation_functions.cc')
-rw-r--r--tensorflow/contrib/lite/toco/graph_transformations/unfuse_activation_functions.cc12
1 files changed, 8 insertions, 4 deletions
diff --git a/tensorflow/contrib/lite/toco/graph_transformations/unfuse_activation_functions.cc b/tensorflow/contrib/lite/toco/graph_transformations/unfuse_activation_functions.cc
index 69bad2fa89..4ada5c3fd0 100644
--- a/tensorflow/contrib/lite/toco/graph_transformations/unfuse_activation_functions.cc
+++ b/tensorflow/contrib/lite/toco/graph_transformations/unfuse_activation_functions.cc
@@ -25,13 +25,16 @@ limitations under the License.
namespace toco {
-bool UnfuseActivationFunctions::Run(Model* model, std::size_t op_index) {
+::tensorflow::Status UnfuseActivationFunctions::Run(Model* model,
+ std::size_t op_index,
+ bool* modified) {
+ *modified = false;
const auto it = model->operators.begin() + op_index;
auto* op = it->get();
// If a conv operation has an im2col array, yield: it should be dropped first.
if ((op->type == OperatorType::kConv) && (op->outputs.size() == 2)) {
- return false;
+ return ::tensorflow::Status::OK();
}
Operator* ac_op = nullptr;
@@ -46,7 +49,7 @@ bool UnfuseActivationFunctions::Run(Model* model, std::size_t op_index) {
ac_op = new Relu1Operator;
break;
default:
- return false;
+ return ::tensorflow::Status::OK();
}
// At this point we know that the op has a fused activation function. At the
@@ -74,7 +77,8 @@ bool UnfuseActivationFunctions::Run(Model* model, std::size_t op_index) {
ac_op->inputs = {tmp_array_name};
op->outputs = {tmp_array_name};
- return true;
+ *modified = true;
+ return ::tensorflow::Status::OK();
}
} // namespace toco