| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | efficientnet.py | 203 model_name='efficientnet', argument
391 model = training.Model(inputs, x, name=model_name)
397 file_hash = WEIGHTS_HASHES[model_name[-2:]][0]
400 file_hash = WEIGHTS_HASHES[model_name[-2:]][1]
401 file_name = model_name + file_suffix
536 model_name='efficientnetb0',
562 model_name='efficientnetb1',
588 model_name='efficientnetb2',
614 model_name='efficientnetb3',
640 model_name='efficientnetb4',
[all …]
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| D | mobilenet.py | 299 model_name = 'mobilenet_%s_%d_tf.h5' % (alpha_text, rows)
300 weight_path = BASE_WEIGHT_PATH + model_name
302 model_name, weight_path, cache_subdir='models')
304 model_name = 'mobilenet_%s_%d_tf_no_top.h5' % (alpha_text, rows)
305 weight_path = BASE_WEIGHT_PATH + model_name
307 model_name, weight_path, cache_subdir='models')
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| D | mobilenet_v2.py | 396 model_name = ('mobilenet_v2_weights_tf_dim_ordering_tf_kernels_' +
398 weight_path = BASE_WEIGHT_PATH + model_name
400 model_name, weight_path, cache_subdir='models')
402 model_name = ('mobilenet_v2_weights_tf_dim_ordering_tf_kernels_' +
404 weight_path = BASE_WEIGHT_PATH + model_name
406 model_name, weight_path, cache_subdir='models')
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| D | resnet.py | 63 model_name='resnet', argument
204 model = training.Model(inputs, x, name=model_name)
207 if (weights == 'imagenet') and (model_name in WEIGHTS_HASHES):
209 file_name = model_name + '_weights_tf_dim_ordering_tf_kernels.h5'
210 file_hash = WEIGHTS_HASHES[model_name][0]
212 file_name = model_name + '_weights_tf_dim_ordering_tf_kernels_notop.h5'
213 file_hash = WEIGHTS_HASHES[model_name][1]
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| D | mobilenet_v3.py | 333 model_name = '{}{}_224_{}_float'.format(
336 file_name = 'weights_mobilenet_v3_' + model_name + '.h5'
337 file_hash = WEIGHTS_HASHES[model_name][0]
339 file_name = 'weights_mobilenet_v3_' + model_name + '_no_top.h5'
340 file_hash = WEIGHTS_HASHES[model_name][1]
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| /external/autotest/frontend/ |
| D | views_common.py | 5 for model_name in model_names:
6 model_class = getattr(models_module, model_name)
7 doc += '<h3>%s</h3>\n' % model_name
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| /external/wpa_supplicant_8/src/wps/ |
| D | wps_dev_attr.c | 45 len = dev->model_name ? os_strlen(dev->model_name) : 0; in wps_build_model_name()
59 wpabuf_put_data(msg, dev->model_name, len); in wps_build_model_name()
289 os_free(dev->model_name); in wps_process_model_name()
290 dev->model_name = dup_binstr(str, str_len); in wps_process_model_name()
291 if (dev->model_name == NULL) in wps_process_model_name()
381 wps_process_model_name(dev, attr->model_name, in wps_process_device_attrs()
436 os_free(dev->model_name); in wps_device_data_free()
437 dev->model_name = NULL; in wps_device_data_free()
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| D | wps_er.h | 24 char *model_name; member
50 char *model_name; member
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| /external/openscreen/cast/standalone_receiver/ |
| D | main.cc | 102 const std::string& model_name, in RunCastService() argument
108 model_name, discovery_enabled); in RunCastService()
159 std::string model_name = "cast_standalone_receiver"; in RunStandaloneReceiver() local
176 model_name = optarg; in RunStandaloneReceiver()
236 friendly_name, model_name, discovery_enabled); in RunStandaloneReceiver()
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| D | cast_service.cc | 55 const std::string& model_name, in CastService() argument
85 info.model_name = model_name; in CastService()
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| /external/tensorflow/tensorflow/core/kernels/batching_util/ |
| D | batch_resource_base.cc | 33 void RecordPaddingSize(int32 padding_size, const string& model_name, in RecordPaddingSize() argument
42 cell->GetCell(model_name, absl::StrCat(execution_batch_size), op_name) in RecordPaddingSize()
46 void RecordInputBatchSize(int32 batch_size, const string& model_name, in RecordInputBatchSize() argument
55 cell->GetCell(model_name, op_name)->Add(static_cast<double>(batch_size)); in RecordInputBatchSize()
58 void RecordProcessedBatchSize(int32 batch_size, const string& model_name, in RecordProcessedBatchSize() argument
67 cell->GetCell(model_name, op_name)->Add(static_cast<double>(batch_size)); in RecordProcessedBatchSize()
70 void RecordBatchDelayUs(int64 batch_delay_us, const string& model_name, in RecordBatchDelayUs() argument
79 cell->GetCell(model_name, op_name)->Add(static_cast<double>(batch_delay_us)); in RecordBatchDelayUs()
83 const string& model_name, in RecordBatchParamBatchTimeoutMicros() argument
89 cell->GetCell(model_name, op_name)->Set(batch_timeout_micros); in RecordBatchParamBatchTimeoutMicros()
[all …]
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| /external/libcups/ppdc/ |
| D | ppdc-driver.cxx | 47 model_name = 0; in ppdcDriver()
87 model_name = 0; in ppdcDriver()
131 if (model_name) in ~ppdcDriver()
132 model_name->release(); in ~ppdcDriver()
330 if (model_name) in set_model_name()
331 model_name->release(); in set_model_name()
333 model_name = new ppdcString(m); in set_model_name()
415 model_name->value, lf); in write_ppd_file()
447 cupsFilePrintf(fp, "*Product: \"(%s)\"%s", model_name->value, lf); in write_ppd_file()
455 else if (_cups_strncasecmp(model_name->value, manufacturer->value, in write_ppd_file()
[all …]
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| /external/tensorflow/tensorflow/python/keras/benchmarks/saved_model_benchmarks/ |
| D | saved_model_benchmark_util.py | 35 model_name = app.__name__
60 'name': '{}.save'.format(model_name)
66 'name': '{}.load'.format(model_name)
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| /external/openscreen/cast/common/public/ |
| D | service_info.h | 92 std::string model_name; member
106 lhs.model_name == rhs.model_name &&
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| D | service_info_unittest.cc | 41 EXPECT_EQ(info.value().model_name, kModelName); in TEST()
57 EXPECT_EQ(info.value().model_name, kModelName); in TEST()
73 EXPECT_EQ(info.value().model_name, kModelName); in TEST()
132 info.model_name = kModelName; in TEST()
178 EXPECT_EQ(info.model_name, "Chromecast Ultra"); in TEST()
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| D | service_info.cc | 43 absl::StrReplaceAll(info.model_name, {{" ", "-"}}); in CalculateInstanceId()
95 discovery::DnsSdTxtRecord::IsValidTxtValue(kModelNameKey, model_name) && in IsValid()
116 txt.SetValue(kModelNameKey, info.model_name).ok() && in ServiceInfoToDnsSdInstance()
195 record.model_name = GetStringFromRecord(endpoint.txt(), kModelNameKey); in DnsSdInstanceEndpointToServiceInfo()
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| /external/wpa_supplicant_8/src/ap/ |
| D | taxonomy.c | 138 char model_name[WPS_NAME_LEN + 1]; in ie_to_string() local
142 os_memset(model_name, 0, sizeof(model_name)); in ie_to_string()
143 if (get_wps_name(model_name, WPS_NAME_LEN, data, in ie_to_string()
146 ",wps:%s", model_name); in ie_to_string()
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| /external/autotest/frontend/afe/ |
| D | management.py | 27 for model_name in ('host', 'label', 'test', 'aclgroup', 'profiler',
30 codename = permission_type + '_' + model_name
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| /external/wpa_supplicant_8/wpa_supplicant/dbus/ |
| D | dbus_new_handlers_wps.c | 588 return wpas_dbus_string_property_getter(iter, wpa_s->conf->model_name, in wpas_dbus_getter_wps_device_model_name()
607 char *methods, *model_name; in wpas_dbus_setter_wps_device_model_name() local
616 model_name = os_strdup(methods); in wpas_dbus_setter_wps_device_model_name()
617 if (!model_name) in wpas_dbus_setter_wps_device_model_name()
619 os_free(wpa_s->conf->model_name); in wpas_dbus_setter_wps_device_model_name()
620 wpa_s->conf->model_name = model_name; in wpas_dbus_setter_wps_device_model_name()
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| /external/tensorflow/tensorflow/lite/delegates/gpu/cl/testing/ |
| D | run_internal_api_samples.sh | 69 model_name=${model_path##*/} # finds last token after '/'
98 ADB shell "cd $OPENCL_DIR && ./$BINARY_NAME $model_name"
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| D | run_performance_profiling.sh | 75 model_name=${model_path##*/} # finds last token after '/'
104 ADB shell "cd $OPENCL_DIR && ./$BINARY_NAME $model_name"
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| D | run_delegate_testing.sh | 70 model_name=${model_path##*/} # finds last token after '/'
99 ADB shell "cd $OPENCL_DIR && ./$BINARY_NAME $model_name"
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| D | performance_profiling.cc | 33 absl::Status RunModelSample(const std::string& model_name) { in RunModelSample() argument
34 auto flatbuffer = tflite::FlatBufferModel::BuildFromFile(model_name.c_str()); in RunModelSample()
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| /external/wpa_supplicant_8/wpa_supplicant/hidl/1.4/ |
| D | iface_config_utils.cpp | 124 struct wpa_supplicant* wpa_s, const std::string& model_name) in setWpsModelName() argument
128 wpa_s, model_name, kMaxWpsModelNameSize, CFG_CHANGED_WPS_STRING, in setWpsModelName()
129 &wpa_s->conf->model_name)) { in setWpsModelName()
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| /external/tensorflow/tensorflow/lite/examples/label_image/ |
| D | label_image.cc | 233 if (!settings->model_name.c_str()) { in RunInference()
240 model = tflite::FlatBufferModel::BuildFromFile(settings->model_name.c_str()); in RunInference()
242 LOG(ERROR) << "Failed to mmap model " << settings->model_name; in RunInference()
246 LOG(INFO) << "Loaded model " << settings->model_name; in RunInference()
529 s.model_name = optarg; in Main()
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