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-rw-r--r--tensorflow/contrib/tensorrt/convert/convert_nodes.h27
1 files changed, 27 insertions, 0 deletions
diff --git a/tensorflow/contrib/tensorrt/convert/convert_nodes.h b/tensorflow/contrib/tensorrt/convert/convert_nodes.h
index 1a4c0e755d..6ae60ec352 100644
--- a/tensorflow/contrib/tensorrt/convert/convert_nodes.h
+++ b/tensorflow/contrib/tensorrt/convert/convert_nodes.h
@@ -23,6 +23,7 @@ limitations under the License.
#include <vector>
#include "tensorflow/contrib/tensorrt/convert/utils.h"
+#include "tensorflow/contrib/tensorrt/log/trt_logger.h"
#include "tensorflow/contrib/tensorrt/resources/trt_allocator.h"
#include "tensorflow/contrib/tensorrt/resources/trt_int8_calibrator.h"
#include "tensorflow/core/framework/graph.pb.h"
@@ -104,6 +105,8 @@ struct EngineInfo {
// topological order.
// - segment_def: the output GraphDef, whose non-input/output nodedefs will be
// sorted in topological order.
+//
+// TODO(aaroey): add tests to validate these properties.
tensorflow::Status ConvertSegmentToGraphDef(
const tensorflow::Graph* graph,
const tensorflow::grappler::GraphProperties& graph_properties,
@@ -128,6 +131,30 @@ tensorflow::Status ConvertGraphDefToEngine(
TrtUniquePtrType<nvinfer1::ICudaEngine>* engine,
bool* convert_successfully);
+// Helper class for the segmenter to determine whether an input edge to the TRT
+// segment is valid.
+class InputEdgeValidator {
+ public:
+ InputEdgeValidator(const grappler::GraphProperties& graph_properties)
+ : graph_properties_(graph_properties) {}
+
+ // Return true if the specified edge is eligible to be an input edge of the
+ // TRT segment.
+ bool operator()(const tensorflow::Edge* in_edge) const;
+
+ private:
+ const grappler::GraphProperties& graph_properties_;
+};
+
+// Helper class for the segmenter to determine whether an output edge from the
+// TRT segment is valid.
+class OutputEdgeValidator {
+ public:
+ // Return true if the specified edge is eligible to be an output edge of the
+ // TRT segment.
+ bool operator()(const tensorflow::Edge* out_edge) const;
+};
+
} // namespace convert
} // namespace tensorrt
} // namespace tensorflow