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Searched refs:SUM_OVER_BATCH_SIZE (Results 1 – 17 of 17) sorted by relevance

/external/tensorflow/tensorflow/python/keras/utils/
Dlosses_utils.py71 SUM_OVER_BATCH_SIZE = 'sum_over_batch_size' variable in ReductionV2
75 return (cls.AUTO, cls.NONE, cls.SUM, cls.SUM_OVER_BATCH_SIZE)
257 reduction=ReductionV2.SUM_OVER_BATCH_SIZE):
263 if reduction == ReductionV2.SUM_OVER_BATCH_SIZE:
270 reduction=ReductionV2.SUM_OVER_BATCH_SIZE,
294 reduction = ReductionV2.SUM_OVER_BATCH_SIZE
Dmetrics_utils.py58 SUM_OVER_BATCH_SIZE = 'sum_over_batch_size' variable in Reduction
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_eager_v1.py189 loss_reduction = losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
201 loss_reduction = losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
213 if loss_reduction == losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE:
Dtraining_v1.py1620 loss_reduction = losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
1632 loss_reduction = losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
1640 if loss_reduction == losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE:
Dcompile_utils.py225 if (loss_obj.reduction == losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE or
Dtraining_utils_v1.py1229 reduction=losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE)
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.losses.-reduction.pbtxt18 name: "SUM_OVER_BATCH_SIZE"
Dtensorflow.keras.losses.-reduction.pbtxt18 name: "SUM_OVER_BATCH_SIZE"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.losses.-reduction.pbtxt22 name: "SUM_OVER_BATCH_SIZE"
/external/tensorflow/tensorflow/python/ops/losses/
Dlosses_impl.py55 SUM_OVER_BATCH_SIZE = "weighted_sum_over_batch_size" variable in Reduction
66 cls.SUM_OVER_BATCH_SIZE,
199 elif reduction == Reduction.SUM_OVER_BATCH_SIZE:
/external/tensorflow/tensorflow/python/keras/
Dmetrics_correctness_test.py560 losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE,
627 losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE:
636 losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE: [144, 56, 88],
Dlosses.py199 self.reduction == losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE)):
215 return losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE
Dmetrics.py362 if reduction in [metrics_utils.Reduction.SUM_OVER_BATCH_SIZE,
411 if self.reduction == metrics_utils.Reduction.SUM_OVER_BATCH_SIZE:
430 metrics_utils.Reduction.SUM_OVER_BATCH_SIZE
3243 reduction=metrics_utils.Reduction.SUM_OVER_BATCH_SIZE,
/external/tensorflow/tensorflow/python/keras/distribute/
Dminimize_loss_test.py302 losses_impl.Reduction.SUM_OVER_BATCH_SIZE,
Ddistribute_strategy_test.py2065 losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE,
2569 reduction=losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE),
/external/tensorflow/tensorflow/python/kernel_tests/
Dlosses_test.py1535 elif reduction == losses.Reduction.SUM_OVER_BATCH_SIZE:
/external/tensorflow/
DRELEASE.md1808 …* Default aggregation for canned Estimators is now `SUM_OVER_BATCH_SIZE`. To maintain previous def…
1884 context. For almost all cases this defaults to `SUM_OVER_BATCH_SIZE`.
1998 `SUM_OVER_BATCH_SIZE`. When used with `tf.distribute.Strategy`, outside
2006 * `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
2012 losses will now use `SUM_OVER_BATCH_SIZE` reduction as default.
2313 For almost all cases this defaults to `SUM_OVER_BATCH_SIZE`. When used in
2319 now use `SUM_OVER_BATCH_SIZE` reduction as default.