Searched refs:weighted_losses (Results 1 – 6 of 6) sorted by relevance
/external/tensorflow/tensorflow/python/keras/utils/ |
D | losses_utils.py | 171 def reduce_weighted_loss(weighted_losses, argument 175 loss = weighted_losses 177 loss = math_ops.reduce_sum(weighted_losses) 181 loss = _safe_mean(loss, num_replicas * _num_elements(weighted_losses)) 229 weighted_losses = math_ops.multiply(losses, sample_weight) 231 loss = reduce_weighted_loss(weighted_losses, reduction)
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_eager.py | 135 weighted_losses = None 139 weighted_losses = loss_fn(targets[i], outs[i], sample_weight=weights) 143 output_loss = losses_utils.reduce_weighted_loss(weighted_losses) 158 if weighted_losses is not None: 159 aggregated_output_loss = output_loss_metrics[i](weighted_losses)
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D | training.py | 1674 weighted_losses = None 1678 weighted_losses = loss_fn( 1684 weighted_losses, reduction=current_loss_reduction) 1696 if weighted_losses is not None: 1699 self._output_loss_metrics[i], weighted_losses)
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/external/tensorflow/tensorflow/python/ops/losses/ |
D | losses_impl.py | 188 weighted_losses = math_ops.multiply(losses, weights) 190 loss = weighted_losses 192 loss = math_ops.reduce_sum(weighted_losses) 589 weighted_losses = math_ops.multiply(term1 - term2, weights) 590 loss = math_ops.reduce_sum(weighted_losses)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | head.py | 489 weighted_losses = [] 491 weighted_losses.append(math_ops.multiply(loss, weight)) 492 return math_ops.add_n(weighted_losses)
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | losses_test.py | 1520 weighted_losses = weights * self._raw_losses 1521 weighted_sum = np.sum(weighted_losses) 1523 self.assertAllClose(weighted_losses, self.evaluate(weighted_loss))
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