| /external/eigen/unsupported/test/ |
| D | levenberg_marquardt.cpp | 106 info = lm.minimize(x); in testLmder()
210 info = lm.minimize(x); in testLmdif()
295 info = lm.minimize(x); in testNistChwirut2()
316 info = lm.minimize(x); in testNistChwirut2()
375 info = lm.minimize(x); in testNistMisra1a()
392 info = lm.minimize(x); in testNistMisra1a()
466 info = lm.minimize(x); in testNistHahn1()
488 info = lm.minimize(x); in testNistHahn1()
552 info = lm.minimize(x); in testNistMisra1d()
569 info = lm.minimize(x); in testNistMisra1d()
[all …]
|
| D | NonLinearOptimization.cpp | 208 info = lm.minimize(x); in testLmder()
600 info = lm.minimize(x); in testLmdif()
685 info = lm.minimize(x); in testNistChwirut2()
706 info = lm.minimize(x); in testNistChwirut2()
765 info = lm.minimize(x); in testNistMisra1a()
782 info = lm.minimize(x); in testNistMisra1a()
855 info = lm.minimize(x); in testNistHahn1()
877 info = lm.minimize(x); in testNistHahn1()
941 info = lm.minimize(x); in testNistMisra1d()
958 info = lm.minimize(x); in testNistMisra1d()
[all …]
|
| /external/tensorflow/tensorflow/python/distribute/ |
| D | single_loss_example.py | 72 return optimizer.minimize(loss_fn, lambda: layer.trainable_variables)
74 return optimizer.minimize(loss_fn)
76 return optimizer.minimize(loss_fn())
115 return optimizer.minimize(loss_fn, lambda: layer.trainable_variables)
118 return optimizer.minimize(loss_fn)
|
| D | minimize_loss_test.py | 353 return optimizer.minimize(loss_fn, [w])
356 return optimizer.minimize(loss_fn)
358 return optimizer.minimize(loss_fn())
441 train_op = optimizer.minimize(
444 train_op = optimizer.minimize(loss_fn)
543 opt.minimize(lambda: constant_op.constant(1.), [])
|
| /external/tensorflow/tensorflow/python/training/tracking/ |
| D | util_with_v1_optimizers_test.py | 89 optimizer.minimize(
92 optimizer.minimize(
96 train_op = optimizer.minimize(
98 optimizer.minimize(
193 optimizer.minimize(
196 train_op = optimizer.minimize(model(input_value))
249 on_create_optimizer.minimize(loss=dummy_var.read_value)
273 optimizer.minimize(
287 optimizer.minimize(
317 return optimizer.minimize(
[all …]
|
| /external/tensorflow/tensorflow/python/training/ |
| D | optimizer_test.py | 59 opt_op = sgd_op.minimize(loss, global_step, [var0, var1])
75 opt_op = sgd_op.minimize(
102 opt_op = sgd_op.minimize(
130 sgd_op.minimize(loss)
148 sgd_op.minimize(loss, var_list=[var1])
164 sgd_op.minimize(loss, var_list=[var0, var1])
244 opt_op = sgd_op.minimize(cost, global_step, [var0, var1])
260 opt_op = sgd_op.minimize(cost, global_step, [var0, var1])
|
| D | momentum_test.py | 145 optimizer.minimize(loss)
157 optimizer.minimize(loss)
178 opt_op = mom_op.minimize(cost, global_step, [var0, var1])
255 sgd_op = opt.minimize(loss)
280 sgd_op = opt.minimize(loss)
|
| D | adagrad_test.py | 108 sgd_op = adagrad.AdagradOptimizer(1.0).minimize(loss)
223 2.0).minimize(loss_repeated)
225 2.0).minimize(loss_aggregated)
|
| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | optimizer_v2_test.py | 83 opt_op = sgd.minimize(loss, var_list=[var0, var1])
109 opt_op = sgd.minimize(loss, [var0, var1])
120 sgd.minimize(loss, [var0, var1])
132 sgd.minimize(loss, [var0, var1])
154 opt_op = sgd.minimize(loss, var_list=[var0, var1], grad_loss=grad_loss)
176 sgd_op.minimize(loss, var_list=[var1])
192 sgd_op.minimize(loss, var_list=[var0, var1])
285 opt_op = sgd.minimize(loss, var_list=[var0, var1])
313 opt.minimize(loss, [var0])
342 opt.minimize(loss, [var0])
[all …]
|
| D | rmsprop_test.py | 336 centered=False).minimize(
363 centered=True).minimize(
525 opt.minimize(lambda: v1 + v2, var_list=[v1, v2])
532 opt.minimize(lambda: v1 + v2, var_list=[v1, v2])
539 opt.minimize(lambda: v1 + v2, var_list=[v1, v2])
580 opt_op = opt.minimize(loss, [var0, var1])
|
| D | gradient_descent_test.py | 143 sgd_op = sgd.minimize(loss, [var0, var1])
164 sgd_op = gradient_descent.SGD(1.0).minimize(loss, [var0, var1])
378 opt_op = mom_op.minimize(loss, [var0, var1])
445 sgd_op = opt.minimize(loss, [var0])
460 sgd_op = opt.minimize(loss, [var0])
675 opt.minimize(loss, [var0])
|
| /external/tensorflow/tensorflow/python/keras/mixed_precision/experimental/ |
| D | loss_scale_optimizer_test.py | 81 return lambda: opt.minimize(loss, var_list=[var])
188 run_fn = lambda: opt.minimize(loss, var_list=[var])
199 run_fn = lambda: opt.minimize(loss, var_list=[var])
221 run_fn = lambda: opt.minimize(loss, var_list=[var])
247 run_fn = lambda: opt.minimize(loss, var_list=[var])
287 run_op = opt.minimize(lambda: var * 2, [var])
325 run_fn = lambda: opt.minimize(loss, [var])
383 run_fn = lambda: opt.minimize(loss, [var])
403 run_fn = lambda: opt.minimize(lambda: var + 1., var_list=[var])
|
| /external/tensorflow/tensorflow/python/training/experimental/ |
| D | loss_scale_optimizer_test.py | 81 return lambda: opt.minimize(loss, var_list=[var])
168 run_fn = lambda: opt.minimize(loss, var_list=[var])
179 run_fn = lambda: opt.minimize(loss, var_list=[var])
202 run_fn = lambda: opt.minimize(loss, var_list=[var])
240 run_fn = lambda: opt.minimize(lambda: var + 1., var_list=[var])
|
| /external/tensorflow/tensorflow/python/debug/lib/ |
| D | debug_gradients_test.py | 138 gradient_descent.GradientDescentOptimizer(0.1).minimize(z1)
140 gradient_descent.GradientDescentOptimizer(0.1).minimize(z2)
188 gradient_descent.GradientDescentOptimizer(0.1).minimize(y)
297 gradient_descent.GradientDescentOptimizer(0.1).minimize(z)
316 gradient_descent.GradientDescentOptimizer(0.1).minimize(z1)
320 gradient_descent.GradientDescentOptimizer(0.1).minimize(z2)
341 train_op = gradient_descent.GradientDescentOptimizer(0.1).minimize(z)
|
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| D | LevenbergMarquardt.h | 130 LevenbergMarquardtSpace::Status minimize(FVectorType &x);
277 LevenbergMarquardt<FunctorType>::minimize(FVectorType &x) in minimize() function
361 return minimize(x); in lmder1()
388 LevenbergMarquardtSpace::Status info = LevenbergMarquardtSpace::Status(lm.minimize(x)); in lmdif1()
|
| /external/flatbuffers/tests/fuzzer/ |
| D | readme.md | 44 ## Merge (minimize) corpus
45 The **libFuzzer** allow to filter (minimize) corpus with help of `-merge` flag:
48 Defaults to 0. This flag can be used to minimize a corpus.
|
| /external/walt/pywalt/pywalt/ |
| D | minimization.py | 77 def minimize(fname_evtest, fname_laser): function
142 minimize(fname_evtest, fname_laser)
|
| /external/cldr/tools/java/org/unicode/cldr/tool/ |
| D | LikelySubtags.java | 115 …public static String minimize(String input, Map<String, String> toMaximized, boolean favorRegion) { in minimize() method in LikelySubtags
116 return new LikelySubtags(toMaximized).setFavorRegion(favorRegion).minimize(input); in minimize()
228 public synchronized String minimize(String input) { in minimize() method in LikelySubtags
|
| /external/swiftshader/third_party/llvm-7.0/llvm/test/tools/dsymutil/X86/ |
| D | minimize.test | 2 RUN: dsymutil --minimize -f -o - -oso-prepend-path=%p/.. %p/../Inputs/basic.macho.x86_64 | llvm-rea…
|
| /external/swiftshader/third_party/llvm-7.0/llvm/utils/unittest/googlemock/ |
| D | README.LLVM | 5 all elements removed except for the actual source code, to minimize the
|
| /external/oss-fuzz/projects/minizinc/ |
| D | minizinc_fuzzer.dict | 25 reserved_keyword_24="minimize"
|
| /external/swiftshader/third_party/llvm-7.0/llvm/test/tools/dsymutil/ |
| D | cmdline.test | 12 HELP: -minimize
|
| /external/swiftshader/third_party/llvm-7.0/llvm/utils/unittest/googletest/ |
| D | README.LLVM | 5 the actual source code, to minimize the addition to the LLVM distribution.
|
| /external/llvm/utils/unittest/googletest/ |
| D | README.LLVM | 5 the actual source code, to minimize the addition to the LLVM distribution.
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| D | LevenbergMarquardt.h | 84 LevenbergMarquardtSpace::Status minimize(FVectorType &x);
152 return minimize(x); in lmder1()
158 LevenbergMarquardt<FunctorType,Scalar>::minimize(FVectorType &x) in minimize() function
647 LevenbergMarquardtSpace::Status info = LevenbergMarquardtSpace::Status(lm.minimize(x)); in lmdif1()
|