| /external/tensorflow/tensorflow/contrib/py2tf/pyct/static_analysis/ |
| H A D | type_info_test.py | 93 opt.minimize(0)
97 self.assertEquals(training.GradientDescentOptimizer.minimize,
123 opt.minimize(0)
132 opt.minimize(0)
141 opt.minimize(0)
151 self.assertEquals(training.GradientDescentOptimizer.minimize,
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| H A D | sdca_ops_test.py | 220 train_op = lr.minimize()
271 train_op = lr.minimize()
332 train_op = lr.minimize()
388 train_op = lr.minimize()
427 lr.minimize().run()
465 train_op = lr.minimize()
506 train_op = lr.minimize()
546 train_op = lr.minimize()
580 train_op = lr.minimize()
602 train_op = lr.minimize()
[all...] |
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| H A D | external_optimizer_test.py | 91 optimizer.minimize(sess)
120 optimizer.minimize(
169 optimizer.minimize(sess)
181 optimizer.minimize(sess)
247 optimizer.minimize(sess)
265 optimizer.minimize(sess)
282 optimizer.minimize(sess)
287 # after running optimizer.minimize().
298 optimizer.minimize(sess)
325 optimizer.minimize(
[all...] |
| /external/tensorflow/tensorflow/contrib/kfac/examples/ |
| H A D | mlp.py | 108 def minimize(loss, accuracy, layer_collection, session_config=None): function
131 train_op = optimizer.minimize(loss, global_step=global_step)
183 minimize(loss, accuracy, layer_collection)
240 return minimize(
307 train_op = optimizer.minimize(loss, global_step=global_step)
|
| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| H A D | clip_weights_test.py | 47 train_op1 = opt.minimize(loss, var_list=self.variables)
48 train_op2 = opt_clip.minimize(loss, var_list=self.variables)
|
| /external/tensorflow/tensorflow/python/training/ |
| H A D | optimizer_test.py | 48 # Note that for eager execution, minimize expects a function instead of a
59 opt_op = sgd_op.minimize(loss, global_step, [var0, var1])
74 opt_op = sgd_op.minimize(
100 opt_op = sgd_op.minimize(
128 sgd_op.minimize(loss)
146 sgd_op.minimize(loss, var_list=[var1])
162 sgd_op.minimize(loss, var_list=[var0, var1])
241 opt_op = sgd_op.minimize(cost, global_step, [var0, var1])
256 opt_op = sgd_op.minimize(cost, global_step, [var0, var1])
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
| H A D | mnist_graph_test.py | 55 train_op = optimizer.minimize(loss)
|
| /external/walt/pywalt/pywalt/ |
| H A D | minimization.py | 77 def minimize(fname_evtest, fname_laser): function
142 minimize(fname_evtest, fname_laser)
|
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| H A D | LevenbergMarquardt.h | 130 LevenbergMarquardtSpace::Status minimize(FVectorType &x);
277 LevenbergMarquardt<FunctorType>::minimize(FVectorType &x) function in class:Eigen::LevenbergMarquardt
361 return minimize(x);
388 LevenbergMarquardtSpace::Status info = LevenbergMarquardtSpace::Status(lm.minimize(x));
|
| /external/swiftshader/third_party/LLVM/lib/DebugInfo/ |
| H A D | DWARFDebugAranges.h | 71 void sort(bool minimize, uint32_t n);
|
| H A D | DWARFDebugAranges.cpp | 123 void DWARFDebugAranges::sort(bool minimize, uint32_t n) { argument
131 if (!minimize)
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/linear_regression/ |
| H A D | linear_regression_graph_test.py | 54 learning_rate=0.1).minimize(loss)
|
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| H A D | mnist.py | 123 # Use the optimizer to apply the gradients that minimize the loss
125 train_op = optimizer.minimize(loss, global_step=global_step)
|
| H A D | mnist_softmax.py | 57 train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
|
| H A D | mnist_softmax_xla.py | 56 train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)
|
| /external/eigen/unsupported/test/ |
| H A D | NonLinearOptimization.cpp | 208 info = lm.minimize(x);
600 info = lm.minimize(x);
685 info = lm.minimize(x);
706 info = lm.minimize(x);
765 info = lm.minimize(x);
782 info = lm.minimize(x);
855 info = lm.minimize(x);
877 info = lm.minimize(x);
941 info = lm.minimize(x);
958 info = lm.minimize(
[all...] |
| H A D | levenberg_marquardt.cpp | 106 info = lm.minimize(x);
210 info = lm.minimize(x);
295 info = lm.minimize(x);
316 info = lm.minimize(x);
375 info = lm.minimize(x);
392 info = lm.minimize(x);
466 info = lm.minimize(x);
488 info = lm.minimize(x);
552 info = lm.minimize(x);
569 info = lm.minimize(
[all...] |
| /external/tensorflow/tensorflow/python/debug/lib/ |
| H A D | debug_gradients_test.py | 137 gradient_descent.GradientDescentOptimizer(0.1).minimize(z1)
139 gradient_descent.GradientDescentOptimizer(0.1).minimize(z2)
187 gradient_descent.GradientDescentOptimizer(0.1).minimize(y)
296 gradient_descent.GradientDescentOptimizer(0.1).minimize(z)
315 gradient_descent.GradientDescentOptimizer(0.1).minimize(z1)
319 gradient_descent.GradientDescentOptimizer(0.1).minimize(z2)
340 train_op = gradient_descent.GradientDescentOptimizer(0.1).minimize(z)
|
| /external/tensorflow/tensorflow/contrib/eager/python/ |
| H A D | checkpointable_utils_test.py | 279 optimizer.minimize(
282 optimizer.minimize(
286 train_op = optimizer.minimize(
288 optimizer.minimize(
383 optimizer.minimize(
386 train_op = optimizer.minimize(network(input_value))
448 optimizer.minimize(
469 train_op = optimizer.minimize(
609 train_op = optimizer.minimize(root.var)
613 optimizer.minimize(roo
[all...] |
| H A D | saver_test.py | 207 optimizer.minimize(loss_fn)
211 optimizer.minimize(loss_fn)
216 optimizer.minimize(loss_fn)
|
| /external/tensorflow/tensorflow/examples/learn/ |
| H A D | iris_custom_decay_dnn.py | 59 train_op = optimizer.minimize(loss, global_step=global_step)
|
| H A D | iris_custom_model.py | 56 train_op = optimizer.minimize(loss, global_step=tf.train.get_global_step())
|
| H A D | multiple_gpu.py | 74 train_op = optimizer.minimize(
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| H A D | baseline_test.py | 499 mock_optimizer.minimize = test.mock.MagicMock(wraps=_minimize)
586 self.assertEqual(0, mock_optimizer.minimize.call_count)
592 self.assertEqual(1, mock_optimizer.minimize.call_count)
616 self.assertEqual(0, mock_optimizer.minimize.call_count)
622 self.assertEqual(1, mock_optimizer.minimize.call_count)
648 self.assertEqual(0, mock_optimizer.minimize.call_count)
655 self.assertEqual(1, mock_optimizer.minimize.call_count)
699 mock_optimizer.minimize = test.mock.MagicMock(wraps=_minimize)
864 self.assertEqual(0, mock_optimizer.minimize.call_count)
870 self.assertEqual(1, mock_optimizer.minimize
[all...] |
| H A D | dnn_testing_utils.py | 184 """Mock of optimizer.minimize."""
208 optimizer_mock.minimize = test.mock.MagicMock(wraps=_minimize)
1541 self.assertEqual(0, opt.minimize.call_count)
1550 self.assertEqual(1, opt.minimize.call_count)
1580 self.assertEqual(0, opt.minimize.call_count)
1589 self.assertEqual(1, opt.minimize.call_count)
1626 self.assertEqual(0, opt.minimize.call_count)
1633 self.assertEqual(1, opt.minimize.call_count)
1657 self.assertEqual(0, opt.minimize.call_count)
1666 self.assertEqual(1, opt.minimize
[all...] |