| /external/tensorflow/tensorflow/python/distribute/ |
| D | strategy_common_test.py | 15 """Tests for common methods in strategy classes."""
46 strategy=[
53 def testCaptureReplicaId(self, strategy): argument
65 return strategy.run(f)
72 strategy=[
79 def testBasic(self, strategy): argument
80 per_replica_value = strategy.experimental_distribute_values_from_function(
85 return strategy.reduce(
89 # Run reduce under the strategy scope to explicitly enter
90 # strategy default_device scope.
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| D | strategy_gather_test.py | 15 """Tests for common methods in strategy classes."""
45 strategy=[
62 strategy=[
73 strategy): argument
74 distributed_values = strategy.experimental_distribute_values_from_function(
78 return strategy.gather(distributed_values, axis=axis)
84 value_on_replica for _ in range(strategy.num_replicas_in_sync)
89 def testGatherPerReplicaDense1D0Axis(self, strategy, pure_eager): argument
93 self._gather_same_shape_and_verify(single_value, axis, pure_eager, strategy)
95 def testGatherPerReplicaDense2D0Axis(self, strategy, pure_eager): argument
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| D | tpu_strategy_test.py | 84 strategy = tpu_lib.TPUStrategyV2(resolver)
85 strategy._enable_packed_variable_in_eager_mode = enable_packed_var
86 return strategy
172 strategy = get_tpu_strategy(enable_packed_var)
173 with strategy.scope():
185 strategy = get_tpu_strategy(enable_packed_var)
186 with strategy.scope():
203 strategy = tpu_lib.TPUStrategyV2(
205 strategy._enable_packed_variable_in_eager_mode = enable_packed_var
218 outputs = strategy.experimental_local_results(
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| D | strategy_combinations_test.py | 43 strategy=strategy_combinations.two_replica_strategies,
45 def testTwoReplicaStrategy(self, strategy): argument
46 with strategy.scope():
52 one_per_replica = strategy.run(one)
53 num_replicas = strategy.reduce(
59 strategy=strategy_combinations.four_replica_strategies,
61 def testFourReplicaStrategy(self, strategy): argument
62 with strategy.scope():
68 one_per_replica = strategy.run(one)
69 num_replicas = strategy.reduce(
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| D | distribution_strategy_context.py | 15 """Utility to get tf.distribute.Strategy related contexts."""
38 # replica or cross-replica context for a particular tf.distribute.Strategy.
44 self.strategy = dist
51 def __init__(self, strategy): argument
52 _ThreadMode.__init__(self, strategy, strategy, None)
58 _ThreadMode.__init__(self, replica_ctx.strategy, None, replica_ctx)
102 `None`) when entering a `with tf.distribute.Strategy.scope():` block;
103 3. switches to a (non-default) replica context inside `strategy.run(fn, ...)`;
108 Most `tf.distribute.Strategy` methods may only be executed in
115 with strategy.scope():
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| D | strategy_test_lib.py | 341 self, strategy, input_fn, expected_values, ignore_order=False): argument
344 iterable = strategy.distribute_datasets_from_function(input_fn)
350 list(strategy.experimental_local_results(next(iterator))))
354 self.evaluate(strategy.experimental_local_results(next(iterator)))
361 list(strategy.experimental_local_results(next(iterator))))
365 self._test_input_fn_iterator(iterator, strategy.extended.worker_devices,
410 def _test_global_step_update(self, strategy): argument
411 with strategy.scope():
426 train_ops, value = strategy.extended.call_for_each_replica(model_fn)
427 self.evaluate(strategy.group(train_ops))
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| D | distribute_lib.py | 19 and it will be usable with a variety of different `tf.distribute.Strategy`
20 implementations. Each descendant will implement a different strategy for
24 model definition code can run unchanged. The `tf.distribute.Strategy` API works
36 The tutorials cover how to use `tf.distribute.Strategy` to do distributed
39 `tf.distribute.Strategy`.
94 when you execute the computation function that was called with `strategy.run`.
101 An _cross-replica context_ is entered when you enter a `strategy.scope`. This
102 is useful for calling `tf.distribute.Strategy` methods which operate across
116 `tf.distribute.Strategy.experimental_distribute_dataset` and
117 `tf.distribute.Strategy.distribute_datasets_from_function`. They
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| D | combinations.py | 15 """This module customizes `test_combinations` for `tf.distribute.Strategy`.
18 `tf.distribute.Strategy` customizations as a default.
52 # TODO(rchao): Rename `distribution` parameter to `strategy` or
58 `strategy` property.
63 # on the strategy object. This is a temporary flag for testing the variable
69 strategy = v.strategy
71 strategy.extended._use_var_policy = use_var_policy
72 distribution_arguments[k] = strategy
83 strategy = None
86 if strategy is not None and _num_total_workers(v.has_chief,
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | distributed_file_utils.py | 56 def _get_base_dirpath(strategy): argument
57 task_id = strategy.extended._task_id # pylint: disable=protected-access
61 def _is_temp_dir(dirpath, strategy): argument
62 return dirpath.endswith(_get_base_dirpath(strategy))
65 def _get_temp_dir(dirpath, strategy): argument
66 if _is_temp_dir(dirpath, strategy):
69 temp_dir = os.path.join(dirpath, _get_base_dirpath(strategy))
74 def write_dirpath(dirpath, strategy): argument
81 strategy: The tf.distribute strategy object currently used.
86 if strategy is None:
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| D | distributed_file_utils_test.py | 60 strategy = DistributedFileUtilsTest.MockedChiefStrategy()
62 distributed_file_utils.write_filepath(filepath, strategy), filepath)
64 distributed_file_utils.write_dirpath(dirpath, strategy), dirpath)
69 strategy = DistributedFileUtilsTest.MockedWorkerStrategy()
71 distributed_file_utils.write_filepath(filepath, strategy),
74 distributed_file_utils.write_dirpath(dirpath, strategy),
79 strategy = DistributedFileUtilsTest.MockedChiefStrategy()
80 dir_to_write = distributed_file_utils.write_dirpath(temp_dir, strategy)
86 file_to_write, strategy)
91 strategy = DistributedFileUtilsTest.MockedWorkerStrategy()
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| /external/tensorflow/tensorflow/python/tpu/ |
| D | tpu_outside_compilation_test.py | 135 strategy = get_tpu_strategy()
148 return strategy.run(tpu_fn, args=(25.0,))
151 strategy.experimental_local_results(train_step()),
152 constant_op.constant(35., shape=(strategy.num_replicas_in_sync)))
155 strategy = get_tpu_strategy()
168 return strategy.run(tpu_fn, args=(25.0,))
171 strategy.experimental_local_results(train_step()),
172 constant_op.constant(35., shape=(strategy.num_replicas_in_sync)))
175 strategy = get_tpu_strategy()
189 return strategy.run(tpu_fn, args=(25.0,))
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| D | tpu_embedding_v2_test.py | 78 self.strategy = tpu_strategy.TPUStrategy(self.resolver)
79 self.num_rows = self.strategy.num_replicas_in_sync
83 with self.strategy.scope():
190 with self.strategy.scope():
192 self.strategy.num_replicas_in_sync * 2)
200 with self.strategy.scope():
202 self.strategy.num_replicas_in_sync * 2)
207 with self.strategy.scope():
213 self.assertAllClose(np.ones((self.strategy.num_replicas_in_sync * 2, 4)),
219 self.assertAllClose(np.ones((self.strategy.num_replicas_in_sync * 2, 4)),
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| /external/python/google-api-python-client/docs/dyn/ |
| D | dfareporting_v3_1.placementStrategies.html | 79 <p class="firstline">Deletes an existing placement strategy.</p>
82 <p class="firstline">Gets one placement strategy by ID.</p>
85 <p class="firstline">Inserts a new placement strategy.</p>
94 <p class="firstline">Updates an existing placement strategy. This method supports patch semantics.<…
97 <p class="firstline">Updates an existing placement strategy.</p>
101 <pre>Deletes an existing placement strategy.
105 id: string, Placement strategy ID. (required)
111 <pre>Gets one placement strategy by ID.
115 id: string, Placement strategy ID. (required)
120 { # Contains properties of a placement strategy.
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| D | dfareporting_v3_3.placementStrategies.html | 79 <p class="firstline">Deletes an existing placement strategy.</p>
82 <p class="firstline">Gets one placement strategy by ID.</p>
85 <p class="firstline">Inserts a new placement strategy.</p>
94 <p class="firstline">Updates an existing placement strategy. This method supports patch semantics.<…
97 <p class="firstline">Updates an existing placement strategy.</p>
101 <pre>Deletes an existing placement strategy.
105 id: string, Placement strategy ID. (required)
111 <pre>Gets one placement strategy by ID.
115 id: string, Placement strategy ID. (required)
120 { # Contains properties of a placement strategy.
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| D | dfareporting_v2_8.placementStrategies.html | 79 <p class="firstline">Deletes an existing placement strategy.</p>
82 <p class="firstline">Gets one placement strategy by ID.</p>
85 <p class="firstline">Inserts a new placement strategy.</p>
94 <p class="firstline">Updates an existing placement strategy. This method supports patch semantics.<…
97 <p class="firstline">Updates an existing placement strategy.</p>
101 <pre>Deletes an existing placement strategy.
105 id: string, Placement strategy ID. (required)
111 <pre>Gets one placement strategy by ID.
115 id: string, Placement strategy ID. (required)
120 { # Contains properties of a placement strategy.
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| D | dfareporting_v3_2.placementStrategies.html | 79 <p class="firstline">Deletes an existing placement strategy.</p>
82 <p class="firstline">Gets one placement strategy by ID.</p>
85 <p class="firstline">Inserts a new placement strategy.</p>
94 <p class="firstline">Updates an existing placement strategy. This method supports patch semantics.<…
97 <p class="firstline">Updates an existing placement strategy.</p>
101 <pre>Deletes an existing placement strategy.
105 id: string, Placement strategy ID. (required)
111 <pre>Gets one placement strategy by ID.
115 id: string, Placement strategy ID. (required)
120 { # Contains properties of a placement strategy.
[all …]
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| D | dfareporting_v2_7.placementStrategies.html | 79 <p class="firstline">Deletes an existing placement strategy.</p>
82 <p class="firstline">Gets one placement strategy by ID.</p>
85 <p class="firstline">Inserts a new placement strategy.</p>
94 <p class="firstline">Updates an existing placement strategy. This method supports patch semantics.<…
97 <p class="firstline">Updates an existing placement strategy.</p>
101 <pre>Deletes an existing placement strategy.
105 id: string, Placement strategy ID. (required)
111 <pre>Gets one placement strategy by ID.
115 id: string, Placement strategy ID. (required)
120 { # Contains properties of a placement strategy.
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| /external/jacoco/org.jacoco.core.test/src/org/jacoco/core/internal/instr/ |
| D | ProbeArrayStrategyFactoryTest.java | 51 final IProbeArrayStrategy strategy = test(Opcodes.V1_1, 0, false, true, in testClass1() local
53 assertEquals(ClassFieldProbeArrayStrategy.class, strategy.getClass()); in testClass1()
60 final IProbeArrayStrategy strategy = test(Opcodes.V1_2, 0, false, true, in testClass2() local
62 assertEquals(ClassFieldProbeArrayStrategy.class, strategy.getClass()); in testClass2()
69 final IProbeArrayStrategy strategy = test(Opcodes.V1_3, 0, false, true, in testClass3() local
71 assertEquals(ClassFieldProbeArrayStrategy.class, strategy.getClass()); in testClass3()
78 final IProbeArrayStrategy strategy = test(Opcodes.V1_4, 0, false, true, in testClass4() local
80 assertEquals(ClassFieldProbeArrayStrategy.class, strategy.getClass()); in testClass4()
87 final IProbeArrayStrategy strategy = test(Opcodes.V1_5, 0, false, true, in testClass5() local
89 assertEquals(ClassFieldProbeArrayStrategy.class, strategy.getClass()); in testClass5()
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| /external/tensorflow/tensorflow/python/distribute/integration_test/ |
| D | saved_model_test.py | 51 strategy=[
59 # tf.distribute.Strategy and used for serving later. Serving usually only uses
60 # one device and this is simulated by loading the model under no strategy
65 # tf.distribute.Strategy. The saved tf.function should be an inference
78 def test_read_sync_on_read_variable(self, strategy): argument
95 with strategy.scope():
101 self.evaluate(strategy.experimental_local_results(m.v)), [0.5, 0.5])
109 def test_read_mirrored_variable(self, strategy): argument
111 # tf.distribute.Strategy.scope(). Most model parameters are this kind of
126 with strategy.scope():
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| /external/objenesis/main/src/main/java/org/objenesis/ |
| D | ObjenesisBase.java | 19 import org.objenesis.strategy.InstantiatorStrategy;
24 * Base class to extend if you want to have a class providing your own default strategy. Can also be
31 /** Strategy used by this Objenesi implementation to create classes */
32 protected final InstantiatorStrategy strategy; field in ObjenesisBase
34 /** Strategy cache. Key = Class, Value = InstantiatorStrategy */
38 * Constructor allowing to pick a strategy and using cache
40 * @param strategy Strategy to use
42 public ObjenesisBase(InstantiatorStrategy strategy) { in ObjenesisBase() argument
43 this(strategy, true); in ObjenesisBase()
47 * Flexible constructor allowing to pick the strategy and if caching should be used
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| /external/squashfs-tools/squashfs-tools/ |
| D | gzip_wrapper.c | 33 static struct strategy strategy[] = { variable
112 for(i = 0; strategy[i].name; i++) { in gzip_options()
113 int n = strlen(strategy[i].name); in gzip_options()
114 if((strncmp(name, strategy[i].name, n) == 0) && in gzip_options()
117 if(strategy[i].selected == 0) { in gzip_options()
118 strategy[i].selected = 1; in gzip_options()
125 if(strategy[i].name == NULL) { in gzip_options()
127 "strategy\n"); in gzip_options()
152 if(strategy_count == 1 && strategy[0].selected) { in gzip_options_post()
154 strategy[0].selected = 0; in gzip_options_post()
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| /external/tensorflow/tensorflow/python/training/experimental/ |
| D | loss_scaling_gradient_tape_test.py | 39 # If called outside any strategy.scope() calls, this will return the default
40 # strategy.
53 def _run_with_strategy(self, run_fn, strategy, use_tf_function=False): argument
54 """Runs `run_fn` under the DistributionStrategy `strategy`.
56 Runs `run_fn` with `strategy.run`. Returns a list of the
61 strategy: The DistributionStrategy to run `run_fn` with.
69 strategy_fn = lambda: strategy.run(run_fn)
77 return strategy.experimental_local_results(tensor)
90 strategy = strategy_fn()
91 with strategy.scope():
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| D | loss_scale_optimizer_test.py | 42 # If called outside any strategy.scope() calls, this will return the default
43 # strategy.
124 def _run_fn_with_grad_check(self, strategy, var, opt, expected_grad): argument
127 loss = lambda: grad_check_fn(var) / strategy.num_replicas_in_sync
133 with strategy_fn().scope() as strategy:
140 # / strategy.num_replicas_in_sync will not be exact, which could lead to
142 self.assertEqual(loss_scale % strategy.num_replicas_in_sync, 0)
144 strategy, var, opt, loss_scale / strategy.num_replicas_in_sync)
145 run_op = strategy.experimental_run(run_fn)
169 strategy = strategy_fn()
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| /external/perfetto/src/traced/probes/ftrace/ |
| D | event_info_unittest.cc | 50 ASSERT_FALSE(field.strategy); in TEST()
67 ASSERT_FALSE(field.strategy); in TEST()
73 TranslationStrategy strategy = kUint32ToUint32; in TEST() local
75 &strategy)); in TEST()
76 ASSERT_EQ(strategy, kUint32ToUint32); in TEST()
78 &strategy)); in TEST()
79 ASSERT_EQ(strategy, kCStringToString); in TEST()
81 SetTranslationStrategy(kFtracePid32, ProtoSchemaType::kInt32, &strategy)); in TEST()
82 ASSERT_EQ(strategy, kPid32ToInt32); in TEST()
84 &strategy)); in TEST()
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| /external/glide/library/src/main/java/com/bumptech/glide/load/engine/bitmap_recycle/ |
| D | LruBitmapPool.java | 24 private final LruPoolStrategy strategy; field in LruBitmapPool
36 LruBitmapPool(int maxSize, LruPoolStrategy strategy) { in LruBitmapPool() argument
39 this.strategy = strategy; in LruBitmapPool()
65 if (!bitmap.isMutable() || strategy.getSize(bitmap) > maxSize) { in put()
67 Log.v(TAG, "Reject bitmap from pool=" + strategy.logBitmap(bitmap) + " is mutable=" in put()
73 final int size = strategy.getSize(bitmap); in put()
74 strategy.put(bitmap); in put()
81 Log.v(TAG, "Put bitmap in pool=" + strategy.logBitmap(bitmap)); in put()
111 final Bitmap result = strategy.get(width, height, config != null ? config : DEFAULT_CONFIG); in getDirty()
114 Log.d(TAG, "Missing bitmap=" + strategy.logBitmap(width, height, config)); in getDirty()
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