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  /external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/
cifar10_train.py 103 loss_value = run_values.results
111 print(format_str % (datetime.datetime.now(), self._step, loss_value,
  /external/tensorflow/tensorflow/examples/how_tos/reading_data/
fully_connected_preloaded.py 107 _, loss_value = sess.run([train_op, loss])
114 print('Step %d: loss = %.2f (%.3f sec)' % (step, loss_value,
fully_connected_preloaded_var.py 118 _, loss_value = sess.run([train_op, loss])
125 print('Step %d: loss = %.2f (%.3f sec)' % (step, loss_value,
fully_connected_reader.py 165 _, loss_value = sess.run([train_op, loss])
171 print('Step %d: loss = %.2f (%.3f sec)' % (step, loss_value,
  /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/
mnist.py 128 loss_value = loss(prediction, labels)
129 tf.contrib.summary.scalar('loss', loss_value)
132 grads = tape.gradient(loss_value, model.variables)
135 print('Batch #%d\tLoss: %.6f' % (batch, loss_value))
  /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/
rnn_colorbot.py 208 loss_value = loss(labels, predictions)
209 tf.contrib.summary.scalar("loss", loss_value)
210 return loss_value
  /external/tensorflow/tensorflow/contrib/factorization/examples/
mnist.py 241 _, loss_value, clustering_loss_value = sess.run([train_op,
250 step, loss_value, clustering_loss_value, duration))
  /external/tensorflow/tensorflow/examples/tutorials/mnist/
fully_connected_feed.py 177 _, loss_value = sess.run([train_op, loss],
185 print('Step %d: loss = %.2f (%.3f sec)' % (step, loss_value, duration))
  /external/tensorflow/tensorflow/contrib/learn/python/learn/
graph_actions.py 318 loss_value = None
332 loss_value = outputs[loss_op.name]
333 if np.isnan(loss_value):
356 last_step, loss_value, float(time.time() - start_time))
404 return loss_value
  /external/tensorflow/tensorflow/python/training/
optimizer.py 451 loss_value = loss()
454 grads = tape.gradient(loss_value, var_list, grad_loss)
    [all...]
  /external/tensorflow/tensorflow/contrib/estimator/python/estimator/
replicate_model_fn_test.py     [all...]

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