/external/tensorflow/tensorflow/contrib/model_pruning/python/ |
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/ |
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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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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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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mnist_with_summaries.py | 128 train_step = tf.train.AdamOptimizer(FLAGS.learning_rate).minimize( 147 # All other steps, run train_step on training data, & add training summaries 168 summary, _ = sess.run([merged, train_step], 176 summary, _ = sess.run([merged, train_step], feed_dict=feed_dict(True))
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
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/python/debug/examples/ |
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/tools/dist_test/python/ |
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/ |
sdca_ops.cc | 161 auto train_step = [&](const int64 begin, const int64 end) { local 219 examples.num_examples(), kCostPerUnit, train_step);
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/external/tensorflow/tensorflow/examples/speech_commands/ |
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/core/profiler/g3doc/ |
advise.md | 72 top 2 graph node: train_step/update_seq2seq/output_projection/w/ApplyAdam, cpu: 84.52ms, accelerator: 0us, total: 84.52ms
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/external/tensorflow/tensorflow/contrib/slim/python/slim/ |
learning.py | 276 'create_train_op', 'train_step', 'train' 456 def train_step(sess, train_op, global_step, train_step_kwargs): function 533 train_step_fn=train_step, 705 with ops.name_scope('train_step'):
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/external/tensorflow/tensorflow/contrib/gan/python/ |
train.py | [all...] |
/external/tensorflow/tensorflow/examples/image_retraining/ |
retrain.py | [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
monitors_test.py | 255 train_step = gradient_descent.GradientDescentOptimizer(0.5).minimize(loss) 256 ops.get_default_session().run(train_step) [all...] |
/external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
tpu_estimator.py | 1068 def train_step(loss): function in function:_ModelFnWrapper.convert_to_single_tpu_train_step [all...] |