/external/tensorflow/tensorflow/core/tfrt/saved_model/tests/ |
D | gen_saved_model.bzl | 5 def gen_saved_model(model_name = "", script = "", **kwargs): 7 name = "saved_model_gen_" + model_name, 10 model_name + "/saved_model.pb", 11 model_name + "/variables/variables.data-00000-of-00001", 12 model_name + "/variables/variables.index", 15 "$(location " + script + ") --saved_model_path=$(RULEDIR)/" + model_name,
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/external/tensorflow/tensorflow/core/kernels/batching_util/ |
D | batch_resource_base.cc | 42 void RecordPaddingSize(int32_t padding_size, const string& model_name, in RecordPaddingSize() argument 51 cell->GetCell(model_name, absl::StrCat(execution_batch_size), op_name) in RecordPaddingSize() 55 void RecordPaddingSizeV2(int32_t padding_size, const string& model_name, in RecordPaddingSizeV2() argument 65 cell->GetCell(model_name, absl::StrCat(execution_batch_size), op_name) in RecordPaddingSizeV2() 70 void RecordInputBatchSize(int32_t batch_size, const string& model_name, in RecordInputBatchSize() argument 79 cell->GetCell(model_name, op_name)->Add(static_cast<double>(batch_size)); in RecordInputBatchSize() 82 void RecordInputBatchSizeV2(int32_t batch_size, const string& model_name, in RecordInputBatchSizeV2() argument 92 cell->GetCell(model_name, op_name)->Add(static_cast<double>(batch_size)); in RecordInputBatchSizeV2() 95 void RecordProcessedBatchSize(int32_t batch_size, const string& model_name, in RecordProcessedBatchSize() argument 104 cell->GetCell(model_name, op_name)->Add(static_cast<double>(batch_size)); in RecordProcessedBatchSize() [all …]
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/external/tensorflow/tensorflow/python/keras/applications/ |
D | efficientnet.py | 215 model_name='efficientnet', argument 395 model = training.Model(inputs, x, name=model_name) 401 file_hash = WEIGHTS_HASHES[model_name[-2:]][0] 404 file_hash = WEIGHTS_HASHES[model_name[-2:]][1] 405 file_name = model_name + file_suffix 540 model_name='efficientnetb0', 566 model_name='efficientnetb1', 592 model_name='efficientnetb2', 618 model_name='efficientnetb3', 644 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 | 406 model_name = ('mobilenet_v2_weights_tf_dim_ordering_tf_kernels_' + 408 weight_path = BASE_WEIGHT_PATH + model_name 410 model_name, weight_path, cache_subdir='models') 412 model_name = ('mobilenet_v2_weights_tf_dim_ordering_tf_kernels_' + 414 weight_path = BASE_WEIGHT_PATH + model_name 416 model_name, weight_path, cache_subdir='models')
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D | resnet.py | 60 model_name='resnet', argument 190 model = training.Model(inputs, x, name=model_name) 193 if (weights == 'imagenet') and (model_name in WEIGHTS_HASHES): 195 file_name = model_name + '_weights_tf_dim_ordering_tf_kernels.h5' 196 file_hash = WEIGHTS_HASHES[model_name][0] 198 file_name = model_name + '_weights_tf_dim_ordering_tf_kernels_notop.h5' 199 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/armnn/python/pyarmnn/examples/object_detection/ |
D | run_video_stream.py | 25 def get_model_processing(model_name: str, video: cv2.VideoCapture, input_binding_info: tuple): 38 if model_name == 'ssd_mobilenet_v1': 40 elif model_name == 'yolo_v3_tiny': 50 …process_output, resize_factor = get_model_processing(args.model_name, video, executor.input_bindin…
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D | run_video_file.py | 25 def get_model_processing(model_name: str, video: cv2.VideoCapture, input_binding_info: tuple): 38 if model_name == 'ssd_mobilenet_v1': 40 elif model_name == 'yolo_v3_tiny': 50 …process_output, resize_factor = get_model_processing(args.model_name, video, executor.input_bindin…
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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 | receiver_info.h | 91 std::string model_name; member 105 lhs.model_name == rhs.model_name &&
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D | receiver_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 | receiver_info.cc | 41 absl::StrReplaceAll(info.model_name, {{" ", "-"}}); in CalculateInstanceId() 93 discovery::DnsSdTxtRecord::IsValidTxtValue(kModelNameKey, model_name) && in IsValid() 114 txt.SetValue(kModelNameKey, info.model_name).ok() && in ReceiverInfoToDnsSdInstance() 193 record.model_name = GetStringFromRecord(endpoint.txt(), kModelNameKey); in DnsSdInstanceEndpointToReceiverInfo()
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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/openscreen/cast/standalone_receiver/ |
D | main.cc | 164 std::string model_name = "cast_standalone_receiver"; in RunStandaloneReceiver() local 181 model_name = optarg; in RunStandaloneReceiver() 234 friendly_name, model_name, enable_discovery}); in RunStandaloneReceiver()
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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_performance_profiling.sh | 75 model_name=${model_path##*/} # finds last token after '/' 104 ADB shell "cd $OPENCL_DIR && ./$BINARY_NAME $model_name"
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D | run_internal_api_samples.sh | 69 model_name=${model_path##*/} # finds last token after '/' 98 ADB shell "cd $OPENCL_DIR && ./$BINARY_NAME $model_name"
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D | run_delegate_testing.sh | 70 model_name=${model_path##*/} # finds last token after '/' 99 ADB shell "cd $OPENCL_DIR && ./$BINARY_NAME $model_name"
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/external/wpa_supplicant_8/wpa_supplicant/aidl/ |
D | iface_config_utils.cpp | 119 struct wpa_supplicant* wpa_s, const std::string& model_name) in setWpsModelName() argument 123 wpa_s, model_name, kMaxWpsModelNameSize, CFG_CHANGED_WPS_STRING, in setWpsModelName() 124 &wpa_s->conf->model_name)) { in setWpsModelName()
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/external/tensorflow/tensorflow/lite/examples/label_image/ |
D | label_image.cc | 194 if (!settings->model_name.c_str()) { in RunInference() 201 model = tflite::FlatBufferModel::BuildFromFile(settings->model_name.c_str()); in RunInference() 203 LOG(ERROR) << "Failed to mmap model " << settings->model_name; in RunInference() 207 LOG(INFO) << "Loaded model " << settings->model_name; in RunInference() 491 s.model_name = optarg; in Main()
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