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Searched refs:loss_reduction (Results 1 – 25 of 36) sorted by relevance

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/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_eager_v1.py184 loss_reduction = loss_fn.reduction
188 if loss_reduction == losses_utils.ReductionV2.AUTO:
189 loss_reduction = losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
193 weighted_losses, reduction=loss_reduction)
201 loss_reduction = losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
213 if loss_reduction == losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE:
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.estimator.-poisson-regression-head.pbtxt12 name: "loss_reduction"
21 …argspec: "args=[\'self\', \'label_dimension\', \'weight_column\', \'loss_reduction\', \'compute_fu…
Dtensorflow.estimator.-binary-class-head.pbtxt11 name: "loss_reduction"
20 …\'self\', \'weight_column\', \'thresholds\', \'label_vocabulary\', \'loss_reduction\', \'loss_fn\'…
Dtensorflow.estimator.-multi-class-head.pbtxt11 name: "loss_reduction"
20 …[\'self\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'loss_reduction\', \'loss_fn\'…
Dtensorflow.estimator.-logistic-regression-head.pbtxt12 name: "loss_reduction"
21 …argspec: "args=[\'self\', \'weight_column\', \'loss_reduction\', \'name\'], varargs=None, keywords…
Dtensorflow.estimator.-multi-label-head.pbtxt11 name: "loss_reduction"
20 …lasses\', \'weight_column\', \'thresholds\', \'label_vocabulary\', \'loss_reduction\', \'loss_fn\'…
Dtensorflow.estimator.-regression-head.pbtxt11 name: "loss_reduction"
20 …argspec: "args=[\'self\', \'label_dimension\', \'weight_column\', \'loss_reduction\', \'loss_fn\',…
Dtensorflow.estimator.-head.pbtxt10 name: "loss_reduction"
Dtensorflow.estimator.-multi-head.pbtxt11 name: "loss_reduction"
Dtensorflow.estimator.-baseline-classifier.pbtxt24 …'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=No…
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.estimator.-multi-class-head.pbtxt11 name: "loss_reduction"
20 …[\'self\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'loss_reduction\', \'loss_fn\'…
Dtensorflow.estimator.-regression-head.pbtxt11 name: "loss_reduction"
20 …argspec: "args=[\'self\', \'label_dimension\', \'weight_column\', \'loss_reduction\', \'loss_fn\',…
Dtensorflow.estimator.-poisson-regression-head.pbtxt12 name: "loss_reduction"
21 …argspec: "args=[\'self\', \'label_dimension\', \'weight_column\', \'loss_reduction\', \'compute_fu…
Dtensorflow.estimator.-logistic-regression-head.pbtxt12 name: "loss_reduction"
21 …argspec: "args=[\'self\', \'weight_column\', \'loss_reduction\', \'name\'], varargs=None, keywords…
Dtensorflow.estimator.-multi-label-head.pbtxt11 name: "loss_reduction"
20 …lasses\', \'weight_column\', \'thresholds\', \'label_vocabulary\', \'loss_reduction\', \'loss_fn\'…
Dtensorflow.estimator.-binary-class-head.pbtxt11 name: "loss_reduction"
20 …\'self\', \'weight_column\', \'thresholds\', \'label_vocabulary\', \'loss_reduction\', \'loss_fn\'…
Dtensorflow.estimator.-head.pbtxt10 name: "loss_reduction"
Dtensorflow.estimator.-multi-head.pbtxt11 name: "loss_reduction"
Dtensorflow.estimator.-baseline-regressor.pbtxt25 …\'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=No…
Dtensorflow.estimator.-baseline-classifier.pbtxt25 …'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=No…
Dtensorflow.estimator.-linear-regressor.pbtxt25 …\'weight_column\', \'optimizer\', \'config\', \'warm_start_from\', \'loss_reduction\', \'sparse_co…
Dtensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt25 …l_dimension\', \'weight_column\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_nor…
Dtensorflow.estimator.-d-n-n-classifier.pbtxt25 …, \'activation_fn\', \'dropout\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_nor…
Dtensorflow.estimator.-d-n-n-regressor.pbtxt25 …, \'activation_fn\', \'dropout\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_nor…
/external/tensorflow/tensorflow/python/keras/distribute/
Dminimize_loss_test.py300 combinations.combine(loss_reduction=[
334 def testMeanVsSum(self, distribution, optimizer_fn, loss_reduction, argument
348 y, predict, reduction=loss_reduction)
349 if loss_reduction == losses_impl.Reduction.SUM:
404 if loss_reduction == losses_impl.Reduction.SUM:

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