| /external/autotest/frontend/tko/ |
| D | rpc_interface.py | 3 from django.db import models as dbmodels
6 from autotest_lib.frontend.afe import models as afe_models, readonly_connection
7 from autotest_lib.frontend.tko import models, tko_rpc_utils
15 models.TestView.list_objects(filter_data))
19 return models.TestView.query_count(filter_data)
47 query = models.TestView.objects.get_query_set_with_joins(filter_data)
49 query = models.TestView.query_objects(filter_data, initial_query=query,
51 count_alias, count_sql = models.TestView.objects.get_count_sql(query)
55 query = models.TestView.apply_presentation(query, filter_data)
68 query = models.TestView.objects.get_query_set_with_joins(filter_data)
[all …]
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| D | models_test.py | 9 from autotest_lib.frontend.tko import models
16 self.machine1 = models.Machine.objects.create(hostname='myhost')
17 self.good_status = models.Status.objects.create(word='GOOD')
19 self.kernel1 = models.Kernel.objects.create(kernel_hash=kernel_name,
22 self.job1 = models.Job.objects.create(
26 self.job1_test1 = models.Test.objects.create(
38 models.Test.objects.populate_relationships(
39 [test], models.TestAttribute, 'attribute_list')
|
| /external/XNNPACK/bench/ |
| D | f32-gemm-e2e.cc | 26 models::ExecutionPlanFactory model_factory, in GEMMEnd2EndBenchmark()
76 …static void f32_gemm_4x12__aarch64_neonfma_cortex_a53(benchmark::State& state, models::ExecutionPl… in f32_gemm_4x12__aarch64_neonfma_cortex_a53()
85 …static void f32_gemm_4x8__aarch64_neonfma_cortex_a53(benchmark::State& state, models::ExecutionPla… in f32_gemm_4x8__aarch64_neonfma_cortex_a53()
94 …static void f32_gemm_4x8__aarch64_neonfma_cortex_a55(benchmark::State& state, models::ExecutionPla… in f32_gemm_4x8__aarch64_neonfma_cortex_a55()
103 …static void f32_gemm_4x8__aarch64_neonfma_cortex_a57(benchmark::State& state, models::ExecutionPla… in f32_gemm_4x8__aarch64_neonfma_cortex_a57()
112 …static void f32_gemm_4x8__aarch64_neonfma_cortex_a75(benchmark::State& state, models::ExecutionPla… in f32_gemm_4x8__aarch64_neonfma_cortex_a75()
121 …static void f32_gemm_4x8__aarch64_neonfma_ld64(benchmark::State& state, models::ExecutionPlanFacto… in f32_gemm_4x8__aarch64_neonfma_ld64()
130 …static void f32_gemm_4x8__aarch64_neonfma_ld128(benchmark::State& state, models::ExecutionPlanFact… in f32_gemm_4x8__aarch64_neonfma_ld128()
139 …static void f32_gemm_5x8__aarch64_neonfma_cortex_a57(benchmark::State& state, models::ExecutionPla… in f32_gemm_5x8__aarch64_neonfma_cortex_a57()
148 …static void f32_gemm_5x8__aarch64_neonfma_cortex_a75(benchmark::State& state, models::ExecutionPla… in f32_gemm_5x8__aarch64_neonfma_cortex_a75()
[all …]
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| D | qs8-gemm-e2e.cc | 28 models::ExecutionPlanFactory model_factory, in GEMMEnd2EndBenchmark()
79 …static void qs8_gemm_minmax_ukernel_1x16c4__aarch64_neondot_ld32(benchmark::State& state, models::… in qs8_gemm_minmax_ukernel_1x16c4__aarch64_neondot_ld32()
88 …static void qs8_gemm_minmax_ukernel_1x16c4__aarch64_neondot_ld64(benchmark::State& state, models::… in qs8_gemm_minmax_ukernel_1x16c4__aarch64_neondot_ld64()
99 …nmax_ukernel_4x16c4__aarch64_neondot_cortex_a55(benchmark::State& state, models::ExecutionPlanFact… in qs8_gemm_minmax_ukernel_4x16c4__aarch64_neondot_cortex_a55()
108 …static void qs8_gemm_minmax_ukernel_4x16c4__aarch64_neondot_ld32(benchmark::State& state, models::… in qs8_gemm_minmax_ukernel_4x16c4__aarch64_neondot_ld32()
117 …static void qs8_gemm_minmax_ukernel_4x16c4__aarch64_neondot_ld64(benchmark::State& state, models::… in qs8_gemm_minmax_ukernel_4x16c4__aarch64_neondot_ld64()
127 …m_minmax_ukernel_2x8c8__aarch64_neon_mull_padal(benchmark::State& state, models::ExecutionPlanFact… in qs8_gemm_minmax_ukernel_2x8c8__aarch64_neon_mull_padal()
136 …m_minmax_ukernel_2x8c8__aarch64_neon_mlal_padal(benchmark::State& state, models::ExecutionPlanFact… in qs8_gemm_minmax_ukernel_2x8c8__aarch64_neon_mlal_padal()
145 …_minmax_ukernel_2x8c16__aarch64_neon_mlal_padal(benchmark::State& state, models::ExecutionPlanFact… in qs8_gemm_minmax_ukernel_2x8c16__aarch64_neon_mlal_padal()
169 …static void qs8_gemm_minmax_ukernel_1x8__neon_mlal_lane(benchmark::State& state, models::Execution… in BENCHMARK_QS8_END2END()
[all …]
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| D | f32-dwconv-e2e.cc | 25 models::ExecutionPlanFactory model_factory, in DWConvEnd2EndBenchmark()
74 …static void f32_dwconv_up4x9__aarch64_neonfma(benchmark::State& state, models::ExecutionPlanFactor… in f32_dwconv_up4x9__aarch64_neonfma()
80 …static void f32_dwconv_up4x9__aarch64_neonfma_cortex_a55(benchmark::State& state, models::Executio… in f32_dwconv_up4x9__aarch64_neonfma_cortex_a55()
91 static void f32_dwconv_up4x9__neon(benchmark::State& state, models::ExecutionPlanFactory model) { in f32_dwconv_up4x9__neon()
97 …static void f32_dwconv_up4x9__neon_acc2(benchmark::State& state, models::ExecutionPlanFactory mode… in f32_dwconv_up4x9__neon_acc2()
103 static void f32_dwconv_up8x9__neon(benchmark::State& state, models::ExecutionPlanFactory model) { in f32_dwconv_up8x9__neon()
109 …static void f32_dwconv_up8x9__neon_acc2(benchmark::State& state, models::ExecutionPlanFactory mode… in f32_dwconv_up8x9__neon_acc2()
115 …static void f32_dwconv_up4x9__neonfma(benchmark::State& state, models::ExecutionPlanFactory model)… in f32_dwconv_up4x9__neonfma()
121 …static void f32_dwconv_up4x9__neonfma_acc2(benchmark::State& state, models::ExecutionPlanFactory m… in f32_dwconv_up4x9__neonfma_acc2()
127 …static void f32_dwconv_up8x9__neonfma(benchmark::State& state, models::ExecutionPlanFactory model)… in f32_dwconv_up8x9__neonfma()
[all …]
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| D | end2end.cc | 22 models::ExecutionPlanFactory model_factory) in End2EndBenchmark()
56 End2EndBenchmark(state, models::FP32MobileNetV1); in FP32MobileNetV1()
60 End2EndBenchmark(state, models::FP32MobileNetV2); in FP32MobileNetV2()
64 End2EndBenchmark(state, models::FP32MobileNetV3Large); in FP32MobileNetV3Large()
68 End2EndBenchmark(state, models::FP32MobileNetV3Small); in FP32MobileNetV3Small()
73 return models::FP32SparseMobileNetV1(0.8f, threadpool); in FP32Sparse80MobileNetV1()
79 return models::FP32SparseMobileNetV2(0.8f, threadpool); in FP32Sparse80MobileNetV2()
85 return models::FP32SparseMobileNetV3Large(0.8f, threadpool); in FP32Sparse80MobileNetV3Large()
91 return models::FP32SparseMobileNetV3Small(0.8f, threadpool); in FP32Sparse80MobileNetV3Small()
96 End2EndBenchmark(state, models::FP16MobileNetV1); in FP16MobileNetV1()
[all …]
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| D | end2end.h | 13 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v1, models::FP32MobileNetV1)->Unit(benchmark::kMicroseco…
14 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v2, models::FP32MobileNetV2)->Unit(benchmark::kMicroseco…
15 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v3_large, models::FP32MobileNetV3Large)->Unit(benchmark:…
16 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v3_small, models::FP32MobileNetV3Small)->Unit(benchmark:…
19 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v1, models::QS8MobileNetV1)->Unit(benchmark::kMicrosecon…
20 …BENCHMARK_CAPTURE(benchmark_fn, mobilenet_v2, models::QS8MobileNetV2)->Unit(benchmark::kMicrosecon…
|
| /external/autotest/frontend/afe/ |
| D | rpc_interface.py | 45 from django.db.models import Count
57 from autotest_lib.frontend.afe import models
59 from autotest_lib.frontend.tko import models as tko_models
104 label_model = models.Label.smart_get(id)
124 label_model = models.Label.smart_get(id)
135 hosts.append(models.Host.smart_get(h.id))
159 label = models.Label.add_object(name=name, **kwargs)
181 label = models.Label.smart_get(id)
183 label = models.StaticLabel.smart_get(label.name)
185 host_objs = models.Host.smart_get_bulk(hosts)
[all …]
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| D | models_test.py | 10 from autotest_lib.frontend.afe import models, model_logic
31 everyone_acl = models.AclGroup.objects.get(name='Everyone')
38 models.AclGroup.on_host_membership_change()
55 models.Host.objects.populate_relationships(
56 [host], models.HostAttribute, 'attribute_list')
61 previous_config = models.RESPECT_STATIC_ATTRIBUTES
62 models.RESPECT_STATIC_ATTRIBUTES = False
63 host1 = models.Host.objects.create(hostname='test_host1')
73 models.RESPECT_STATIC_ATTRIBUTES = previous_config
77 previous_config = models.RESPECT_STATIC_ATTRIBUTES
[all …]
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| D | rpc_interface_unittest.py | 18 from autotest_lib.frontend.afe import models
33 _hqe_status = models.HostQueueEntry.Status
96 return models.Job.objects.get(id=job_id)
101 label2 = models.Label.objects.create(name='bluetooth', platform=False)
111 host2 = models.Host.objects.create(hostname='test_host2', leased=False)
121 host2 = models.Host.objects.create(hostname='test_host2', leased=False)
126 self.mox.StubOutWithMock(models.Host, '_assign_to_shard_nothing_helper')
130 models.Host._assign_to_shard_nothing_helper().WithSideEffects(
136 host2 = models.Host.smart_get(host2.id)
144 leased_host = models.Host.objects.create(hostname='leased_host',
[all …]
|
| D | frontend_test_utils.py | 6 from autotest_lib.frontend.afe import models, model_attributes
14 if models.DroneSet.drone_sets_enabled():
15 models.DroneSet.objects.create(
16 name=models.DroneSet.default_drone_set_name())
18 acl_group = models.AclGroup.objects.create(name='my_acl')
19 acl_group.users.add(models.User.current_user())
21 self.hosts = [models.Host.objects.create(hostname=hostname)
27 models.AclGroup.smart_get('Everyone').hosts = []
29 self.labels = [models.Label.objects.create(name=name) for name in
33 platform = models.Label.objects.create(name='myplatform', platform=True)
[all …]
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| D | shard_heartbeat_unittest.py | 14 from autotest_lib.frontend.afe import models
34 assigned = models.Job.assign_to_shard(shard, [])
45 assigned = models.Job.assign_to_shard(shard, [])
54 assigned_jobs = models.Job.assign_to_shard(shard, [known_job.id])
65 assigned = models.Job.assign_to_shard(shard, [])
75 assigned = models.Job.assign_to_shard(shard, [])
81 old = models.Job.SKIP_JOBS_CREATED_BEFORE
83 models.Job.SKIP_JOBS_CREATED_BEFORE = value
86 models.Job.SKIP_JOBS_CREATED_BEFORE = old
96 job = models.Job.objects.create(
[all …]
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| D | rpc_utils.py | 20 from autotest_lib.frontend.afe import models, model_logic
131 % models.HostQueueEntry.Status.QUEUED)
191 initial_query = models.Host.valid_objects.all()
193 initial_query = models.Host.objects.all()
196 hosts = models.Host.get_hosts_with_labels(
201 return models.Host.query_objects(filter_data, initial_query=hosts)
202 except models.Label.DoesNotExist:
203 return models.Host.objects.none()
256 test_objects = [models.Test.smart_get(test) for test in tests]
260 profiler_objects = [models.Profiler.smart_get(profiler)
[all …]
|
| /external/tensorflow/tensorflow/lite/g3doc/guide/ |
| D | hosted_models.md | 1 # Hosted models
3 The following is an incomplete list of pre-trained models optimized to work with
6 To get started choosing a model, visit <a href="../models">Models</a> page with
13 models to find the optimal balance between size, performance, and accuracy.
18 <a href="../models/image_classification/overview.md">Image classification</a>.
20 [how to integrate image classification models](../inference_with_metadata/task_library/image_classi…
23 ### Quantized models
26 classification models offer the smallest model size and fastest performance, at
31 [quantized models](https://tfhub.dev/s?deployment-format=lite&module-type=image-classification&q=qu…
36 …pdf), [tflite&pb](https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_…
[all …]
|
| D | get_started.md | 4 models on mobile, embedded, and IoT devices. The following guide walks through
15 ways to obtain a TensorFlow model, from using pre-trained models to training
24 all models can be converted. For details, read about the
30 The TensorFlow Lite team provides a set of pre-trained models that solve a
31 variety of machine learning problems. These models have been converted to work
34 The pre-trained models include:
36 * [Image classification](../models/image_classification/overview.md)
37 * [Object detection](../models/object_detection/overview.md)
38 * [Smart reply](../models/smart_reply/overview.md)
39 * [Pose estimation](../models/pose_estimation/overview.md)
[all …]
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | keras_parameterized_test.py | 37 models = []
47 models.append(testing_utils.get_small_mlp(1, 4, input_dim=3))
62 self.assertTrue(models[0]._is_graph_network)
63 self.assertFalse(models[1]._is_graph_network)
64 self.assertNotIsInstance(models[0], keras.models.Sequential)
65 self.assertNotIsInstance(models[1], keras.models.Sequential)
66 self.assertIsInstance(models[2], keras.models.Sequential)
76 models = []
90 models.append(testing_utils.get_small_mlp(1, 4, input_dim=3))
111 self.assertTrue(models[0]._is_graph_network)
[all …]
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| D | models_test.py | 34 from tensorflow.python.keras import models
106 keras.models._clone_sequential_model, layer_fn=models.share_weights)
108 clone_fn = keras.models.clone_model
111 model = models.Sequential(_get_layers(input_shape, add_input_layer))
162 keras.models._clone_functional_model, layer_fn=models.share_weights)
164 clone_fn = keras.models.clone_model
181 model = keras.models.Model([input_a, input_b], outputs)
196 new_model = keras.models.clone_model(
228 keras.models._clone_functional_model, layer_fn=models.share_weights)
230 clone_fn = keras.models.clone_model
[all …]
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| /external/tensorflow/tensorflow/lite/delegates/flex/ |
| D | build_def.bzl | 27 models,
34 models: TFLite models to interpret.
45 if type(models) != type([]):
46 models = [models]
48 # List all flex ops from models.
50 ["$(location %s)" % f for f in models],
65 srcs = models,
68 message = "Listing flex ops from %s..." % ",".join(models),
91 models = [],
95 """A rule to generate a flex delegate with only ops to run listed models.
[all …]
|
| /external/tensorflow/tensorflow/ |
| D | workspace0.bzl | 14 build_file = "//:models.BUILD",
17 "https://storage.googleapis.com/download.tensorflow.org/models/inception_v1.zip",
23 build_file = "//:models.BUILD",
26 …"https://storage.googleapis.com/download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_a…
32 build_file = "//:models.BUILD",
35 "https://storage.googleapis.com/download.tensorflow.org/models/mobile_multibox_v1a.zip",
41 build_file = "//:models.BUILD",
44 "https://storage.googleapis.com/download.tensorflow.org/models/stylize_v1.zip",
50 build_file = "//:models.BUILD",
53 … "https://storage.googleapis.com/download.tensorflow.org/models/speech_commands_v0.01.zip",
|
| /external/swiftshader/third_party/SPIRV-Tools/source/val/ |
| D | validate_mode_setting.cpp | 290 const auto* models = _.GetExecutionModels(entry_point_id); in ValidateExecutionMode() local
299 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
309 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
341 models->begin(), models->end(), in ValidateExecutionMode()
352 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
369 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
407 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
420 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
431 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
|
| /external/deqp-deps/SPIRV-Tools/source/val/ |
| D | validate_mode_setting.cpp | 291 const auto* models = _.GetExecutionModels(entry_point_id); in ValidateExecutionMode() local
300 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
310 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
342 models->begin(), models->end(), in ValidateExecutionMode()
353 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
370 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
408 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
421 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
432 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
|
| /external/angle/third_party/vulkan-deps/spirv-tools/src/source/val/ |
| D | validate_mode_setting.cpp | 291 const auto* models = _.GetExecutionModels(entry_point_id); in ValidateExecutionMode() local
300 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
310 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
342 models->begin(), models->end(), in ValidateExecutionMode()
353 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
370 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
408 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
421 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
432 if (!std::all_of(models->begin(), models->end(), in ValidateExecutionMode()
|
| /external/python/oauth2client/tests/contrib/django_util/ |
| D | models.py | 17 from django.contrib.auth.models import User
18 from django.db import models
20 from oauth2client.contrib.django_util.models import CredentialsField
23 class CredentialsModel(models.Model):
24 user_id = models.OneToOneField(User)
|
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| D | models_test.py | 23 from tensorflow.examples.speech_commands import models
31 return models.prepare_model_settings(
42 models.prepare_model_settings(
56 logits, dropout_rate = models.create_model(
68 logits = models.create_model(fingerprint_input, model_settings, "conv",
78 logits, dropout_rate = models.create_model(
90 logits, dropout_rate = models.create_model(
102 models.create_model(fingerprint_input, model_settings,
111 logits, dropout_rate = models.create_model(
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | save_test.py | 173 model = keras.models.Model(input_layers, output)
216 model = keras.models.Model(input_layers, output)
401 keras.models.save_model(
405 loaded_model = keras.models.load_model(saved_model_dir)
420 model = keras.models.Sequential()
443 new_model = keras.models.load_model(saved_model_dir)
455 model = keras.models.Sequential()
464 keras.models.save_model(model, saved_model_dir, save_format=save_format)
466 new_model = keras.models.load_model(saved_model_dir)
485 model = keras.models.Sequential()
[all …]
|