| /prebuilts/ndk/r16/sources/third_party/shaderc/third_party/spirv-tools/include/spirv-tools/ |
| optimizer.hpp | 32 class Optimizer {
60 explicit Optimizer(spv_target_env env);
63 Optimizer(const Optimizer&) = delete;
64 Optimizer(Optimizer&&) = delete;
65 Optimizer& operator=(const Optimizer&) = delete;
66 Optimizer& operator=(Optimizer&&) = delete
[all...] |
| /prebuilts/ndk/r16/sources/third_party/shaderc/third_party/spirv-tools/source/opt/ |
| optimizer.cpp | 15 #include "spirv-tools/optimizer.hpp"
24 struct Optimizer::PassToken::Impl {
30 Optimizer::PassToken::PassToken(
31 std::unique_ptr<Optimizer::PassToken::Impl> impl)
33 Optimizer::PassToken::PassToken(PassToken&& that)
36 Optimizer::PassToken& Optimizer::PassToken::operator=(PassToken&& that) {
41 Optimizer::PassToken::~PassToken() {}
43 struct Optimizer::Impl {
50 Optimizer::Optimizer(spv_target_env env) : impl_(new Impl(env)) {
[all...] |
| /dalvik/dx/src/com/android/dx/dex/cf/ |
| OptimizerOptions.java | 21 import com.android.dx.ssa.Optimizer;
113 * Compares the output of the optimizer run normally with a run skipping
126 EnumSet<Optimizer.OptionalStep> steps;
128 steps = EnumSet.allOf(Optimizer.OptionalStep.class);
131 steps.remove(Optimizer.OptionalStep.CONST_COLLECTOR);
134 = Optimizer.optimize(nonOptRmeth,
|
| /external/swiftshader/src/Reactor/ |
| Optimizer.cpp | 15 #include "Optimizer.hpp"
25 class Optimizer
69 void Optimizer::run(Ice::Cfg *function)
83 void Optimizer::eliminateDeadCode()
109 void Optimizer::eliminateUnitializedLoads()
164 void Optimizer::eliminateLoadsFollowingSingleStore()
265 void Optimizer::optimizeStoresInSingleBasicBlock()
360 void Optimizer::analyzeUses(Ice::Cfg *function)
399 void Optimizer::replace(Ice::Inst *instruction, Ice::Operand *newValue)
428 void Optimizer::deleteInstruction(Ice::Inst *instruction
698 Optimizer optimizer; local
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| /external/libmojo/third_party/jinja2/ |
| optimizer.py | 3 jinja2.optimizer
6 The jinja optimizer is currently trying to constant fold a few expressions
26 optimizer = Optimizer(environment)
27 return optimizer.visit(node)
30 class Optimizer(NodeTransformer):
|
| /dalvik/dx/src/com/android/dx/command/dump/ |
| SsaDumper.java | 27 import com.android.dx.ssa.Optimizer;
99 ssaMeth = Optimizer.debugNoRegisterAllocation(rmeth,
101 EnumSet.allOf(Optimizer.OptionalStep.class));
103 ssaMeth = Optimizer.debugEdgeSplit(rmeth, paramWidth,
106 ssaMeth = Optimizer.debugPhiPlacement(
109 ssaMeth = Optimizer.debugRenaming(
112 ssaMeth = Optimizer.debugDeadCodeRemover(
|
| DotDumper.java | 33 import com.android.dx.ssa.Optimizer;
129 rmeth = Optimizer.optimize(rmeth,
|
| /external/proguard/src/proguard/gui/ |
| OptimizationsDialog.java | 23 import proguard.optimize.Optimizer;
50 private final JCheckBox[] optimizationCheckBoxes = new JCheckBox[Optimizer.OPTIMIZATION_NAMES.length];
107 for (int index = 0; index < Optimizer.OPTIMIZATION_NAMES.length; index++)
109 String optimizationName = Optimizer.OPTIMIZATION_NAMES[index];
195 for (int index = 0; index < Optimizer.OPTIMIZATION_NAMES.length; index++)
197 optimizationCheckBoxes[index].setSelected(filter.matches(Optimizer.OPTIMIZATION_NAMES[index]));
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| optimizers.py | 28 from tensorflow.python.training import optimizer as optimizer_lib
42 """Returns an optimizer instance.
45 * An `Optimizer` instance: Returns the given `opt`.
46 * A string: Creates an `Optimizer` subclass with the given `learning_rate`.
55 opt: An `Optimizer` instance, or string, as discussed above.
59 An `Optimizer` instance.
73 'Unsupported optimizer name: {}. Supported names are: {}'.format(
75 if not isinstance(opt, optimizer_lib.Optimizer):
77 'The given object is not an Optimizer instance. Given: {}'.format(opt))
|
| optimizers_test.py | 27 from tensorflow.python.training import optimizer as optimizer_lib
35 ValueError, 'Unsupported optimizer name: unsupported_name'):
69 class _TestOptimizer(optimizer_lib.Optimizer):
80 ValueError, 'The given object is not an Optimizer instance'):
|
| /external/tensorflow/tensorflow/contrib/keras/api/keras/optimizers/ |
| __init__.py | 21 # Optimizer classes.
27 from tensorflow.python.keras._impl.keras.optimizers import Optimizer
|
| /external/tensorflow/tensorflow/python/keras/optimizers/ |
| __init__.py | 21 # Optimizer classes.
27 from tensorflow.python.keras._impl.keras.optimizers import Optimizer
|
| /external/tensorflow/tensorflow/python/training/ |
| gradient_descent.py | 24 from tensorflow.python.training import optimizer
30 class GradientDescentOptimizer(optimizer.Optimizer):
31 """Optimizer that implements the gradient descent algorithm.
35 """Construct a new gradient descent optimizer.
|
| proximal_gradient_descent.py | 25 from tensorflow.python.training import optimizer
31 class ProximalGradientDescentOptimizer(optimizer.Optimizer):
33 """Optimizer that implements the proximal gradient descent algorithm.
41 """Construct a new proximal gradient descent optimizer.
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| multitask_optimizer_wrapper.py | 15 """An optimizer wrapper for stateful optimizers with multitask loss."""
29 from tensorflow.python.training import optimizer
51 """Optimizer wrapper making all-zero gradients harmless.
57 which would normally affect the optimizer state
64 therefore preserving the optimizer state.
73 are delegated to an underlying optimizer.
95 opt: an instance of a class that implements tf.train.Optimizer.
97 if not isinstance(opt, optimizer.Optimizer):
99 'Supplied optimizer must be an instance of tf.train.Optimizer'
[all...] |
| drop_stale_gradient_optimizer.py | 16 """Wrapper optimizer for checking and dropping stale gradients."""
31 from tensorflow.python.training import optimizer
35 class DropStaleGradientOptimizer(optimizer.Optimizer):
36 """Wrapper optimizer that checks and drops stale gradient.
38 This optimizer records the global step for each worker before computing
52 opt: The actual optimizer that will be used to compute and apply the
53 gradients. Must be one of the Optimizer classes.
54 staleness: The maximum staleness allowed for the optimizer.
|
| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| tpu_optimizer.py | 16 """Optimizer that implements cross-shard gradient reduction for TPU."""
26 from tensorflow.python.training import optimizer
29 class CrossShardOptimizer(optimizer.Optimizer):
30 """An optimizer that averages gradients across TPU shards."""
36 """Construct a new cross-shard optimizer.
39 opt: An existing `Optimizer` to encapsulate.
57 This simply wraps the compute_gradients() from the real optimizer. The
91 replicas, and then applies the real optimizer.
99 name passed to the Optimizer constructor
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| /prebuilts/ndk/r16/sources/third_party/shaderc/libshaderc_util/src/ |
| spirv_tools_wrapper.cc | 20 #include "spirv-tools/optimizer.hpp"
94 spvtools::Optimizer optimizer(GetSpirvToolsTargetEnv(env));
96 optimizer.SetMessageConsumer(
106 optimizer.RegisterPass(spvtools::CreateStripDebugInfoPass());
109 optimizer.RegisterPass(spvtools::CreateUnifyConstantPass());
114 if (!optimizer.Run(binary->data(), binary->size(), binary)) {
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| optimizers.py | 16 """Built-in optimizer classes.
34 from tensorflow.python.training import optimizer as tf_optimizer_module
69 @tf_export('keras.optimizers.Optimizer')
70 class Optimizer(object):
71 """Abstract optimizer base class.
73 Note: this is the parent class of all optimizers, not an actual optimizer
89 'passed to optimizer: ' + str(k))
107 """Sets the weights of the optimizer, from Numpy arrays.
110 (otherwise the optimizer has no weights).
116 of the optimizer (i.e. it should match th
[all...] |
| /external/proguard/src/proguard/ |
| ProGuard.java | 28 import proguard.optimize.Optimizer;
317 return new Optimizer(configuration).execute(programClassPool, libraryClassPool);
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| optimizers.py | 15 """Optimizer ops for use in layers and tf.learn."""
37 from tensorflow.python.training import optimizer as optimizer_
61 optimizer,
72 """Given loss and parameters for optimizer, returns a training op.
76 - by string specifying the name of the optimizer. See OPTIMIZER_CLS_NAMES
77 for full list. E.g. `optimize_loss(..., optimizer='Adam')`.
79 `Optimizer` instance. E.g. `optimize_loss(...,
80 optimizer=lambda lr: tf.train.MomentumOptimizer(lr, momentum=0.5))`.
83 optimizer=lambda: tf.train.MomentumOptimizer(0.5, momentum=0.5))`.
84 - by a subclass of `Optimizer` having a single-argument constructo
[all...] |
| /dalvik/dx/src/com/android/dx/ssa/ |
| NormalSsaInsn.java | 231 = Optimizer.getPreserveLocals() && getLocalAssignment() != null;
|
| Optimizer.java | 29 public class Optimizer {
34 /** optional optimizer steps */
113 * Runs the optimizer with a strategy to minimize the number of rop-form
|
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| variational_sgd_optimizer.py | 15 """An optimizer module for constant stochastic gradient descent."""
29 from tensorflow.python.training import optimizer
33 class VariationalSGDOptimizer(optimizer.Optimizer):
34 """An optimizer module for constant stochastic gradient descent.
36 This implements an optimizer module for the constant stochastic gradient
|
| /external/tensorflow/tensorflow/contrib/mpi_collectives/ |
| __init__.py | 97 optimizer = mpi.DistributedOptimizer(tf.train.AdamOptimizer())
98 train = optimizer.minimize(loss)
101 # Do not pass this to an optimizer!
169 class DistributedOptimizer(tf.train.Optimizer):
170 """An optimizer that wraps another tf.Optimizer, using an MPI allreduce to
173 def __init__(self, optimizer, name=None, use_locking=False):
174 """Construct a new DistributedOptimizer, which uses another optimizer
180 optimizer: Optimizer to use for computing gradients and applying updates
[all...] |
