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author | Max Galkin <maxgalkin@google.com> | 2018-02-05 15:10:44 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-02-05 15:15:04 -0800 |
commit | 1b19bc9edcd993e19e01cd935e9787e1672c4391 (patch) | |
tree | a066e927204d8c81329e48e0f3e7ae956e04bfa9 | |
parent | 85344e3366e440ecdb160b9bb3be71212f19bacd (diff) |
Add logging to diagnose device properties parsing problem in Grappler.
PiperOrigin-RevId: 184594084
-rw-r--r-- | tensorflow/core/grappler/costs/op_level_cost_estimator.cc | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/tensorflow/core/grappler/costs/op_level_cost_estimator.cc b/tensorflow/core/grappler/costs/op_level_cost_estimator.cc index 5600267f6a..1af973855e 100644 --- a/tensorflow/core/grappler/costs/op_level_cost_estimator.cc +++ b/tensorflow/core/grappler/costs/op_level_cost_estimator.cc @@ -411,6 +411,11 @@ Costs OpLevelCostEstimator::PredictCostOfAnUnknownOp( Costs OpLevelCostEstimator::PredictOpCountBasedCost( double operations, const OpInfo& op_features) const { DeviceInfo device_perf = GetDeviceInfo(op_features.device()); + if (device_perf.gigaops <= 0 || device_perf.gb_per_sec <= 0) { + VLOG(1) << "BAD DEVICE. Op:" << op_features.op() + << " device type:" << op_features.device().type() + << " device model:" << op_features.device().model(); + } Costs::NanoSeconds compute_cost(std::ceil(operations / device_perf.gigaops)); VLOG(1) << "Op:" << op_features.op() << " GOps:" << operations / 1e9 |