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authorGravatar Benoit Steiner <bsteiner@google.com>2017-05-02 08:06:50 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-05-02 09:34:53 -0700
commite8eafd94de1fc90a5f4724570f5882b01e1626dc (patch)
tree25084a1ed40a7acbc592e1a48be4cbd81cebd473
parent883e32600ef242cb44d0702bb96f71f3140b5403 (diff)
Don't try to refine the shapes for a node if its inference context wasn't
successfully built by the AddNode() method. Change: 154838211
-rw-r--r--tensorflow/core/common_runtime/shape_refiner.cc7
1 files changed, 5 insertions, 2 deletions
diff --git a/tensorflow/core/common_runtime/shape_refiner.cc b/tensorflow/core/common_runtime/shape_refiner.cc
index daa9e5091a..828297a1ab 100644
--- a/tensorflow/core/common_runtime/shape_refiner.cc
+++ b/tensorflow/core/common_runtime/shape_refiner.cc
@@ -88,7 +88,7 @@ Status ShapeRefiner::AddNode(const Node* node) {
}
// This needs to be filled in with real data in a second pass.
- std::vector<const Tensor*> input_tensors(node->num_inputs());
+ std::vector<const Tensor*> input_tensors(node->num_inputs(), nullptr);
std::vector<ShapeHandle> input_tensors_as_shapes;
// Create the inference context for this node with the existing input shapes.
@@ -145,6 +145,9 @@ Status ShapeRefiner::UpdateNode(const Node* node, bool* refined) {
}
InferenceContext* node_context = it->second.get();
+ // Give up if the context wasn't successfully built by the AddNode() method.
+ TF_RETURN_IF_ERROR(node_context->construction_status());
+
// Check if the shapes of the nodes in the fan-in of this node have changed,
// and if they have update the node input shapes.
for (const Edge* e : node->in_edges()) {
@@ -458,7 +461,7 @@ Status ShapeRefiner::RunShapeFn(const Node* node,
const OpRegistrationData* op_reg_data,
shape_inference::InferenceContext* c) {
// This will be filled in with real data in a second pass.
- std::vector<const Tensor*> input_tensors(node->num_inputs());
+ std::vector<const Tensor*> input_tensors(node->num_inputs(), nullptr);
std::vector<Tensor> real_tensors(node->num_inputs());
std::vector<bool> attempted_materialization(node->num_inputs());
std::vector<bool> attempted_tensor_as_shape_conversion(node->num_inputs());