| /prebuilts/clang/host/linux-x86/clang-4630689/include/llvm/Target/ |
| TargetOptions.h | 240 /// optimizers. Fused operations that are explicitly specified (e.g. FMA
|
| /prebuilts/clang/host/linux-x86/clang-4639204/include/llvm/Target/ |
| TargetOptions.h | 240 /// optimizers. Fused operations that are explicitly specified (e.g. FMA
|
| /prebuilts/clang/host/linux-x86/clang-4691093/include/llvm/Target/ |
| TargetOptions.h | 240 /// optimizers. Fused operations that are explicitly specified (e.g. FMA
|
| /external/llvm/docs/ |
| FAQ.rst | 91 I'd like to write a self-hosting LLVM compiler. How should I interface with the LLVM middle-end optimizers and back-end code generators?
197 the code through the LLVM optimizers, so if your code doesn't actually do
|
| Bugpoint.rst | 13 by optimizers, or bad native code generation (including problems in the static
|
| /external/llvm/include/llvm/CodeGen/GlobalISel/ |
| RegisterBankInfo.h | 106 /// This is used to communicate between the target and the optimizers
125 /// The rationale is that it is more efficient for the optimizers
|
| /external/swiftshader/third_party/LLVM/test/Other/ |
| constant-fold-gep.ll | 6 ; folding in the optimizers.
10 ; folding in the optimizers.
|
| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| dependency_optimizer.cc | 16 #include "tensorflow/core/grappler/optimizers/dependency_optimizer.h"
26 #include "tensorflow/core/grappler/optimizers/constant_folding.h"
|
| memory_optimizer.cc | 16 #include "tensorflow/core/grappler/optimizers/memory_optimizer.h"
34 #include "tensorflow/core/grappler/optimizers/graph_rewriter.h"
35 #include "tensorflow/core/grappler/optimizers/static_schedule.h"
[all...] |
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| dnn.py | 26 from tensorflow.python.estimator.canned import optimizers
162 optimizer = optimizers.get_optimizer_instance(
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| callbacks_test.py | 347 optimizer=keras.optimizers.SGD(lr=0.1),
400 optimizer=keras.optimizers.SGD(lr=0.1),
|
| /prebuilts/clang/host/darwin-x86/clang-4053586/prebuilt_include/llvm/include/llvm/CodeGen/GlobalISel/ |
| RegisterBankInfo.h | 181 /// This is used to communicate between the target and the optimizers
200 /// The rationale is that it is more efficient for the optimizers
|
| /prebuilts/clang/host/linux-x86/clang-4053586/prebuilt_include/llvm/include/llvm/CodeGen/GlobalISel/ |
| RegisterBankInfo.h | 181 /// This is used to communicate between the target and the optimizers
200 /// The rationale is that it is more efficient for the optimizers
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| estimator_test.py | 37 from tensorflow.contrib.layers.python.layers import optimizers
133 train_op = optimizers.optimize_loss(
149 train_op = optimizers.optimize_loss(
162 train_op = optimizers.optimize_loss(
176 train_op = optimizers.optimize_loss(
[all...] |
| /external/swiftshader/third_party/LLVM/docs/ |
| FAQ.html | 84 should I interface with the LLVM middle-end optimizers and back-end code
462 should I interface with the LLVM middle-end optimizers and back-end code
743 the code through the LLVM optimizers, so if your code doesn't actually do
|
| Bugpoint.html | 39 miscompilations by optimizers, or bad native code generation (including problems
|
| /external/clang/www/ |
| comparison.html | 110 pluggable optimizers, link-time optimization support, Just-In-Time
|
| /external/llvm/include/llvm/Target/ |
| TargetOptions.h | 235 /// optimizers. Fused operations that are explicitly specified (e.g. FMA
|
| /external/llvm/test/DebugInfo/Generic/ |
| recursive_inlining.ll | 6 ; tickle the optimizers into producing the desired code, but I haven't found
|
| /external/swiftshader/third_party/LLVM/include/llvm/ADT/ |
| APFloat.h | 46 optimizers can determine what exceptions would be raised by
|
| /external/swiftshader/third_party/LLVM/lib/Analysis/ |
| PathProfileInfo.cpp | 10 // This file defines the interface used by optimizers to load path profiles,
|
| /external/swiftshader/third_party/LLVM/utils/ |
| NightlyTestTemplate.html | 187 <li><a name="GCCAS">GCCAS</a> - Time to run LLVM optimizers on the program.</li>
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| mnist.py | 274 # Create the models and optimizers
|
| /external/tensorflow/tensorflow/contrib/kernel_methods/g3doc/ |
| tutorial.md | 118 [available optimizers](https://www.tensorflow.org/code/tensorflow/python/training).
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| optimizers.py | 74 Various ways of passing optimizers include:
|
