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Searched
refs:placer
(Results
1 - 7
of
7
) sorted by null
/external/tensorflow/tensorflow/core/grappler/costs/
virtual_placer_test.cc
36
VirtualPlacer
placer
(&cluster);
41
EXPECT_EQ("GPU",
placer
.get_device(node).type());
43
placer
.get_canonical_device_name(node));
46
EXPECT_EQ("CPU",
placer
.get_device(node).type());
48
placer
.get_canonical_device_name(node));
51
EXPECT_EQ("GPU",
placer
.get_device(node).type());
53
placer
.get_canonical_device_name(node));
66
VirtualPlacer
placer
(&cluster);
71
EXPECT_EQ("GPU",
placer
.get_device(node).type());
72
EXPECT_EQ("/GPU:0",
placer
.get_canonical_device_name(node))
[
all
...]
/packages/inputmethods/LatinIME/java/src/com/android/inputmethod/latin/utils/
ViewLayoutUtils.java
33
public static MarginLayoutParams newLayoutParam(final ViewGroup
placer
, final int width,
35
if (
placer
instanceof FrameLayout) {
37
} else if (
placer
instanceof RelativeLayout) {
39
} else if (
placer
== null) {
40
throw new NullPointerException("
placer
is null");
42
throw new IllegalArgumentException("
placer
is neither FrameLayout nor RelativeLayout: "
43
+
placer
.getClass().getName());
/external/tensorflow/tensorflow/core/grappler/optimizers/
static_schedule.cc
32
const VirtualPlacer&
placer
, const NodeDef& node) {
43
DeviceProperties device =
placer
.get_device(node);
91
VirtualPlacer
placer
(cluster);
98
PredictExecutionTime(properties, estimator,
placer
, *node);
159
VirtualPlacer
placer
(cluster);
166
PredictExecutionTime(properties, estimator,
placer
, *node);
/external/tensorflow/tensorflow/compiler/xla/service/
computation_placer.cc
118
"could not find registered computation
placer
for platform %s -- check "
123
if (it->second.
placer
== nullptr) {
124
// Lazily create the computation
placer
the first time it is needed.
125
it->second.
placer
= (*it->second.creation_function)();
128
return it->second.
placer
.get();
computation_placer.h
60
// A generic implementation of the XLA computation
placer
, which assigns device
81
// Registers a computation
placer
creation function for a particular platform.
86
// Returns the computation
placer
singleton pointer if it is available for the
92
// The mutex that guards the platform-to-computation
placer
map.
96
// up creation_function, and then we use that to lazily create "
placer
" the
99
std::unique_ptr<ComputationPlacer>
placer
;
member in struct:xla::ComputationPlacer::State
103
// Map from platform kind to computation
placer
singleton.
/external/tensorflow/tensorflow/core/common_runtime/
graph_execution_state.cc
25
#include "tensorflow/core/common_runtime/
placer
.h"
268
Placer
placer
(new_graph.get(), device_set_, session_options_);
269
// TODO(mrry): Consider making the
Placer
cancelable.
270
TF_RETURN_IF_ERROR(
placer
.Run());
placer_test.cc
16
#include "tensorflow/core/common_runtime/
placer
.h"
48
// The
Placer
uses information about the op (input types),
171
// 2. Attempt to compute a placement using the
Placer
.
205
// Invokes the
Placer
on "graph". If no DeviceSet is specified, the
210
Placer
placer
(graph, devices, options);
211
return
placer
.Run();
236
Placer
::NodeNameToIdMap nodes_by_name_;
[
all
...]
Completed in 234 milliseconds