| /external/deqp/external/openglcts/data/mustpass/gles/khronos_mustpass/3.2.5.x/ |
| D | gles2-khr-master.txt | 51 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_clamp_clamp
52 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_clamp_repeat
53 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_clamp_mirror
54 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_repeat_clamp
55 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_repeat_repeat
56 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_repeat_mirror
57 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_mirror_clamp
58 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_mirror_repeat
59 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_mirror_mirror
60 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_repeat_clamp_clamp
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| /external/deqp/external/openglcts/data/mustpass/gles/khronos_mustpass/master/ |
| D | gles2-khr-master.txt | 51 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_clamp_clamp
52 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_clamp_repeat
53 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_clamp_mirror
54 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_repeat_clamp
55 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_repeat_repeat
56 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_repeat_mirror
57 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_mirror_clamp
58 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_mirror_repeat
59 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_clamp_mirror_mirror
60 KHR-GLES2.texture_3d.filtering.combinations.nearest_nearest_repeat_clamp_clamp
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| /external/deqp/android/cts/master/src/ |
| D | gles3-hw-issues.txt | 122 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_clamp_mir…
123 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_clamp_rep…
124 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_mirror_mi…
125 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_mirror_re…
126 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_repeat_cl…
127 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_repeat_mi…
128 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_linear_repeat_re…
129 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_nearest_clamp_mi…
130 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_nearest_clamp_re…
131 dEQP-GLES3.functional.texture.filtering.2d_array.combinations.linear_mipmap_linear_nearest_mirror_m…
[all …]
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | minimize_loss_test.py | 24 from tensorflow.contrib.distribute.python import combinations
49 @combinations.generate(
50 combinations.times(
51 combinations.distributions_and_v1_optimizers(),
52 combinations.combine(mode=["graph"], use_callable_loss=[True, False])
53 + combinations.combine(mode=["eager"], use_callable_loss=[True])) +
54 combinations.combine(
55 distribution=[combinations.tpu_strategy],
56 optimizer_fn=combinations.optimizers_v1,
91 @combinations.generate(
[all …]
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| D | combinations_test.py | 24 from tensorflow.contrib.distribute.python import combinations
43 }], combinations.combine(a=[1, 2], b=[2, 3]))
51 ], combinations.combine(ab=[2, 3], aa=[1, 2]))
60 }], combinations.combine(a=[1, 2], b=2))
73 combinations.combine(a=[1, 2]) +
74 combinations.combine(b=[2, 3]))
77 c1 = combinations.combine(mode=["graph"], loss=["callable", "tensor"])
78 c2 = combinations.combine(mode=["eager"], loss=["callable"])
79 c3 = combinations.combine(distribution=["d1", "d2"])
80 c4 = combinations.times(c3, c1 + c2)
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| D | keras_utils_test.py | 26 from tensorflow.contrib.distribute.python import combinations
74 @combinations.generate(keras_test_lib.all_strategy_combinations())
122 @combinations.generate(keras_test_lib.all_strategy_combinations())
141 @combinations.generate(keras_test_lib.all_strategy_combinations())
166 @combinations.generate(
167 combinations.combine(
169 combinations.mirrored_strategy_with_gpu_and_cpu,
170 combinations.core_mirrored_strategy_with_gpu_and_cpu
192 @combinations.generate(
193 combinations.combine(
[all …]
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| D | checkpoint_utils_test.py | 31 from tensorflow.contrib.distribute.python import combinations
65 @combinations.generate(combinations.combine(
66 distribution=[combinations.default_strategy,
67 combinations.one_device_strategy,
68 combinations.mirrored_strategy_with_gpu_and_cpu,
69 combinations.mirrored_strategy_with_two_gpus,
70 combinations.core_mirrored_strategy_with_gpu_and_cpu,
71 combinations.core_mirrored_strategy_with_two_gpus],
98 @combinations.generate(
99 combinations.combine(
[all …]
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| D | keras_test.py | 24 from tensorflow.contrib.distribute.python import combinations
264 combinations.default_strategy,
265 combinations.one_device_strategy,
266 combinations.one_device_strategy_gpu,
267 combinations.mirrored_strategy_with_gpu_and_cpu,
268 combinations.mirrored_strategy_with_two_gpus,
269 combinations.core_mirrored_strategy_with_gpu_and_cpu,
270 combinations.core_mirrored_strategy_with_two_gpus]
273 combinations.tpu_strategy, # steps_per_run=2
274 combinations.tpu_strategy_one_step]
[all …]
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| D | metrics_v1_test.py | 22 from tensorflow.contrib.distribute.python import combinations
76 return combinations.combine(
77 distribution=[combinations.default_strategy,
78 combinations.one_device_strategy,
79 combinations.mirrored_strategy_with_gpu_and_cpu,
80 combinations.mirrored_strategy_with_two_gpus,
81 combinations.core_mirrored_strategy_with_gpu_and_cpu,
82 combinations.core_mirrored_strategy_with_two_gpus],
87 return combinations.combine(distribution=[combinations.tpu_strategy_one_step,
88 combinations.tpu_strategy],
[all …]
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| D | keras_backward_compat_test.py | 23 from tensorflow.contrib.distribute.python import combinations
293 combinations.default_strategy,
294 combinations.one_device_strategy,
295 combinations.mirrored_strategy_with_gpu_and_cpu,
296 combinations.mirrored_strategy_with_two_gpus,
297 combinations.core_mirrored_strategy_with_gpu_and_cpu,
298 combinations.core_mirrored_strategy_with_two_gpus]
301 combinations.tpu_strategy, # steps_per_run=2
302 combinations.tpu_strategy_one_step]
306 return combinations.combine(
[all …]
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| D | cross_device_ops_test.py | 27 from tensorflow.contrib.distribute.python import combinations
205 reduction_to_one_combinations = combinations.combine(
207 combinations.NamedObject(
210 combinations.NamedObject(
214 combinations.NamedObject(
220 combinations.one_device_strategy,
221 combinations.mirrored_strategy_with_gpu_and_cpu,
222 combinations.mirrored_strategy_with_two_gpus,
223 combinations.core_mirrored_strategy_with_gpu_and_cpu,
224 combinations.core_mirrored_strategy_with_two_gpus
[all …]
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| D | input_lib_test.py | 23 from tensorflow.contrib.distribute.python import combinations
102 @combinations.generate(combinations.combine(
114 @combinations.generate(combinations.combine(
127 @combinations.generate(combinations.combine(
145 @combinations.generate(
146 combinations.combine(
159 @combinations.generate(combinations.combine(
203 @combinations.generate(combinations.combine(
213 @combinations.generate(combinations.combine(
224 @combinations.generate(combinations.combine(
[all …]
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| D | collective_all_reduce_strategy_test.py | 25 from tensorflow.contrib.distribute.python import combinations
359 @combinations.generate(
360 combinations.combine(mode=['graph'], use_core_strategy=[True, False]))
373 @combinations.generate(
374 combinations.combine(
386 @combinations.generate(
387 combinations.combine(
401 @combinations.generate(
402 combinations.combine(
418 @combinations.generate(
[all …]
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| D | step_fn_test.py | 24 from tensorflow.contrib.distribute.python import combinations
33 @combinations.generate(
34 combinations.times(
35 combinations.distributions_and_v1_optimizers(),
36 combinations.combine(mode=combinations.graph_and_eager_modes),
37 combinations.combine(is_tpu=[False])) +
38 combinations.combine(
39 distribution=[combinations.tpu_strategy],
40 optimizer_fn=combinations.optimizers_v1,
|
| D | parameter_server_strategy_test.py | 25 from tensorflow.contrib.distribute.python import combinations
620 @combinations.generate(
621 combinations.combine(mode=['graph'], use_core_strategy=[True, False]))
629 @combinations.generate(
630 combinations.combine(mode=['graph'], use_core_strategy=[True, False]))
637 @combinations.generate(
638 combinations.combine(mode=['graph'], use_core_strategy=[True, False]))
645 @combinations.generate(
646 combinations.combine(mode=['graph'], use_core_strategy=[True, False]))
653 @combinations.generate(
[all …]
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| D | warm_starting_util_test.py | 31 from tensorflow.contrib.distribute.python import combinations
43 @combinations.generate(combinations.combine(
44 distribution=[combinations.default_strategy,
45 combinations.one_device_strategy,
46 combinations.mirrored_strategy_with_gpu_and_cpu,
47 combinations.mirrored_strategy_with_two_gpus,
48 combinations.core_mirrored_strategy_with_gpu_and_cpu,
49 combinations.core_mirrored_strategy_with_two_gpus],
|
| D | keras_optimizer_v2_test.py | 24 from tensorflow.contrib.distribute.python import combinations
48 @combinations.generate(
49 combinations.combine(
51 combinations.core_mirrored_strategy_with_gpu_and_cpu,
52 combinations.core_mirrored_strategy_with_two_gpus,
53 combinations.parameter_server_strategy_with_two_gpus,
106 @combinations.generate(
107 combinations.combine(
109 combinations.core_mirrored_strategy_with_gpu_and_cpu,
110 combinations.parameter_server_strategy_with_two_gpus,
|
| D | moving_averages_test.py | 23 from tensorflow.contrib.distribute.python import combinations
32 all_combinations = combinations.combine(
33 distribution=[combinations.default_strategy,
34 combinations.one_device_strategy,
35 combinations.mirrored_strategy_with_gpu_and_cpu,
36 combinations.core_mirrored_strategy_with_gpu_and_cpu],
42 @combinations.generate(all_combinations)
69 @combinations.generate(all_combinations)
91 @combinations.generate(all_combinations)
120 @combinations.generate(all_combinations)
[all …]
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| D | keras_correctness_test_base.py | 25 from tensorflow.contrib.distribute.python import combinations
45 combinations.default_strategy,
46 combinations.one_device_strategy,
47 combinations.mirrored_strategy_with_gpu_and_cpu,
48 combinations.mirrored_strategy_with_two_gpus,
49 combinations.core_mirrored_strategy_with_gpu_and_cpu,
50 combinations.core_mirrored_strategy_with_two_gpus,
51 combinations.tpu_strategy, # steps_per_run=2
52 combinations.tpu_strategy_one_step,
57 return combinations.combine(mode='eager',
[all …]
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| D | estimator_integration_test.py | 26 from tensorflow.contrib.distribute.python import combinations
59 @combinations.generate(
60 combinations.combine(
63 combinations.one_device_strategy,
64 combinations.mirrored_strategy_with_gpu_and_cpu,
65 combinations.mirrored_strategy_with_two_gpus,
66 combinations.core_mirrored_strategy_with_gpu_and_cpu,
67 combinations.core_mirrored_strategy_with_two_gpus
|
| D | keras_stateful_lstm_model_correctness_test.py | 22 from tensorflow.contrib.distribute.python import combinations
32 return [combinations.tpu_strategy_one_core,
33 combinations.tpu_strategy_one_step_one_core]
38 combinations.combine(
77 @combinations.generate(test_combinations_for_stateful_embedding_model())
85 @combinations.generate(keras_correctness_test_base.
|
| D | optimizer_v2_test.py | 24 from tensorflow.contrib.distribute.python import combinations
34 @combinations.generate(
35 combinations.times(
36 combinations.distributions_and_v2_optimizers(),
37 combinations.combine(mode=["graph"], use_callable_loss=[True, False])
38 + combinations.combine(mode=["eager"], use_callable_loss=[True])))
|
| D | mirrored_strategy_multigpu_test.py | 27 from tensorflow.contrib.distribute.python import combinations
65 @combinations.generate(combinations.combine(
67 combinations.mirrored_strategy_with_gpu_and_cpu,
68 combinations.mirrored_strategy_with_two_gpus,
69 combinations.core_mirrored_strategy_with_gpu_and_cpu,
70 combinations.core_mirrored_strategy_with_two_gpus],
172 return combinations.combine(
174 combinations.mirrored_strategy_with_one_cpu,
175 combinations.mirrored_strategy_with_one_gpu,
176 combinations.core_mirrored_strategy_with_one_cpu,
[all …]
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| D | BUILD | 22 ":combinations",
36 ":combinations",
58 ":combinations",
98 ":combinations",
140 ":combinations",
186 name = "combinations",
187 srcs = ["combinations.py"],
210 ":combinations",
220 ":combinations",
263 "//tensorflow/contrib/distribute/python:combinations",
[all …]
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| /external/cldr/tools/java/org/unicode/cldr/draft/keyboard/ |
| D | ModifierKeyCombinationSet.java | 25 private final ImmutableSortedSet<ModifierKeyCombination> combinations; field in ModifierKeyCombinationSet
27 private ModifierKeyCombinationSet(ImmutableSortedSet<ModifierKeyCombination> combinations) { in ModifierKeyCombinationSet() argument
28 this.combinations = checkNotNull(combinations); in ModifierKeyCombinationSet()
35 public static ModifierKeyCombinationSet of(Set<ModifierKeyCombination> combinations) { in of() argument
37 .simplifySet(combinations); in of()
48 builder.addAll(combinationSet.combinations); in combine()
53 public ImmutableSortedSet<ModifierKeyCombination> combinations() { in combinations() method in ModifierKeyCombinationSet
54 return combinations; in combinations()
62 for (ModifierKeyCombination combination : combinations) { in isBase()
74 return SPACE_JOINER.join(combinations); in toString()
[all …]
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