experiments/STT-tensorflow
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CostGraphDef has been modified to keep track of the accuracy of the cost estimation.

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PiperOrigin-RevId: 200078367
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A. Unique TensorFlower 2018-06-11 10:59:30 -07:00 committed by TensorFlower Gardener
parent 6aeab4f540
commit 20a8e604e3
2 changed files with 4 additions and 0 deletions
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3
tensorflow/core/framework/cost_graph.proto
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@ -69,6 +69,9 @@ message CostGraphDef {
// Ids of the control inputs for this node. // Ids of the control inputs for this node.
repeated int32 control_input = 8; repeated int32 control_input = 8;
// Are the costs inaccurate?
bool inaccurate = 17;
} }
repeated Node node = 1; repeated Node node = 1;
} }

1
tensorflow/core/grappler/costs/analytical_cost_estimator.cc
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@ -98,6 +98,7 @@ Status AnalyticalCostEstimator::PredictCosts(const GraphDef& optimized_graph,
node_costs.compute_time.asMicroSeconds().count()); node_costs.compute_time.asMicroSeconds().count());
cost_node->set_memory_time( cost_node->set_memory_time(
node_costs.memory_time.asMicroSeconds().count()); node_costs.memory_time.asMicroSeconds().count());
cost_node->set_inaccurate(node_costs.inaccurate);
for (const auto& output : op_context.op_info.outputs()) { for (const auto& output : op_context.op_info.outputs()) {
auto output_info = cost_node->add_output_info(); auto output_info = cost_node->add_output_info();
output_info->set_dtype(output.dtype()); output_info->set_dtype(output.dtype());