| /external/tensorflow/tensorflow/contrib/model_pruning/python/ |
| D | learning.py | 55 train_step = _slim.learning.train_step variable
61 train_step_fn=train_step,
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| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| D | mnist_softmax_xla.py | 56 train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
76 sess.run(train_step,
85 sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
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| D | mnist_softmax.py | 57 train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
64 sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
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| D | mnist_with_summaries.py | 128 train_step = tf.train.AdamOptimizer(FLAGS.learning_rate).minimize(
168 summary, _ = sess.run([merged, train_step],
176 summary, _ = sess.run([merged, train_step], feed_dict=feed_dict(True))
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| D | mnist_deep.py | 145 train_step = tf.train.AdamOptimizer(1e-4).minimize(cross_entropy)
165 train_step.run(feed_dict={x: batch[0], y_: batch[1], keep_prob: 0.5})
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| /external/tensorflow/tensorflow/python/debug/examples/ |
| D | debug_mnist.py | 112 train_step = tf.train.AdamOptimizer(FLAGS.learning_rate).minimize(
139 sess.run(train_step, feed_dict=feed_dict(True))
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | composable_model_test.py | 60 train_step = model.get_train_step(loss)
62 with ops.control_dependencies(train_step):
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| /external/tensorflow/tensorflow/tools/dist_test/python/ |
| D | mnist_replica.py | 178 train_step = opt.minimize(cross_entropy, global_step=global_step)
250 _, step = sess.run([train_step, global_step], feed_dict=train_feed)
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sdca_ops.cc | 161 auto train_step = [&](const int64 begin, const int64 end) { in DoCompute() local
219 examples.num_examples(), kCostPerUnit, train_step); in DoCompute()
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| /external/tensorflow/tensorflow/examples/speech_commands/ |
| D | train.py | 153 train_step = tf.train.GradientDescentOptimizer(
210 merged_summaries, evaluation_step, cross_entropy_mean, train_step,
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| D | learning.py | 456 def train_step(sess, train_op, global_step, train_step_kwargs): function
533 train_step_fn=train_step,
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| /external/tensorflow/tensorflow/docs_src/programmers_guide/ |
| D | summaries_and_tensorboard.md | 147 train_step = tf.train.AdamOptimizer(FLAGS.learning_rate).minimize(
171 # All other steps, run train_step on training data, & add training summaries
189 summary, _ = sess.run([merged, train_step], feed_dict=feed_dict(True))
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| D | graph_viz.md | 260 # All other steps, run train_step on training data, & add training summaries
281 summary, _ = sess.run([merged, train_step],
289 summary, _ = sess.run([merged, train_step], feed_dict=feed_dict(True))
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| /external/tensorflow/tensorflow/examples/image_retraining/ |
| D | retrain.py | 833 train_step = optimizer.minimize(cross_entropy_mean)
835 return (train_step, cross_entropy_mean, bottleneck_input, ground_truth_input,
1115 (train_step, cross_entropy, bottleneck_input, ground_truth_input,
1156 [merged, train_step],
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| /external/tensorflow/tensorflow/contrib/gan/python/ |
| D | train.py | 978 cur_gen_loss, _ = slim_learning.train_step(
985 cur_dis_loss, _ = slim_learning.train_step(
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| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| D | advise.md | 72 top 2 graph node: train_step/update_seq2seq/output_projection/w/ApplyAdam, cpu: 84.52ms, accelerato…
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| D | monitors_test.py | 255 train_step = gradient_descent.GradientDescentOptimizer(0.5).minimize(loss)
256 ops.get_default_session().run(train_step)
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| /external/tensorflow/tensorflow/core/profiler/ |
| D | README.md | 178 top 2 graph node: train_step/update_seq2seq/output_projection/w/ApplyAdam, cpu: 84.52ms, accelerato…
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| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| D | tpu_estimator.py | 1068 def train_step(loss): function
1094 return train_step, host_call, captured_scaffold_fn
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| /external/tensorflow/tensorflow/docs_src/performance/ |
| D | performance_guide.md | 91 sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
|