/external/perfetto/src/traced/probes/ftrace/ |
ftrace_config_muxer_unittest.cc | 190 FtraceConfigMuxer model(&ftrace, mock_table.get()); 217 FtraceConfigId id = model.SetupConfig(config); 218 ASSERT_TRUE(model.ActivateConfig(id)); 219 const FtraceConfig* actual_config = model.GetConfigForTesting(id); 230 FtraceConfigMuxer model(&ftrace, mock_table.get()); 248 FtraceConfigId id = model.SetupConfig(config); 249 ASSERT_TRUE(model.ActivateConfig(id)); 250 const FtraceConfig* actual_config = model.GetConfigForTesting(id); 278 FtraceConfigMuxer model(&ftrace, mock_table.get()); 305 FtraceConfigId id = model.SetupConfig(config) [all...] |
/external/tensorflow/tensorflow/python/keras/layers/ |
lstm_test.py | 53 model = keras.models.Sequential() 56 model.add(inputs) 58 model.add(layer) 59 outputs = model.layers[-1].output 68 model = keras.models.Sequential() 69 model.add(layer) 70 model.compile( 75 model.train_on_batch(x, y) 125 model = keras.models.Sequential() 126 model.add(keras.layers.Masking(input_shape=(3, 4)) [all...] |
/external/tensorflow/tensorflow/python/keras/ |
callbacks_test.py | 128 model = testing_utils.get_model_from_layers(layers, input_shape=(10,)) 129 model.compile( 133 return model 141 model = self._get_model() 143 model.fit( 176 model = self._get_model() 178 model.evaluate(x, y, batch_size=2, callbacks=[counter]) 192 model = self._get_model() 194 model.predict(x, batch_size=2, callbacks=[counter]) 229 model = testing_utils.get_model_from_layers(layers, input_shape=input_shape [all...] |
/cts/tests/openglperf2/jni/reference/scene/flocking/ |
WaterMeshNode.h | 28 virtual void before(Program& program, Matrix& model, Matrix& view, Matrix& projection); 29 virtual void after(Program& program, Matrix& model, Matrix& view, Matrix& projection);
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/cts/tests/openglperf2/jni/reference/scene/glowing/ |
BlurMeshNode.h | 28 virtual void before(Program& program, Matrix& model, Matrix& view, Matrix& projection); 29 virtual void after(Program& program, Matrix& model, Matrix& view, Matrix& projection);
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/developers/build/prebuilts/gradle/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/data/source/ |
DigitalAssetLinksDataSource.java | 19 import com.example.android.autofill.service.model.DalCheck; 20 import com.example.android.autofill.service.model.DalInfo;
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/developers/samples/android/input/autofill/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/data/source/ |
DigitalAssetLinksDataSource.java | 19 import com.example.android.autofill.service.model.DalCheck; 20 import com.example.android.autofill.service.model.DalInfo;
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/external/dagger2/compiler/src/main/java/dagger/internal/codegen/ |
ProductionComponentValidator.java | 23 import javax.lang.model.element.AnnotationMirror; 24 import javax.lang.model.element.TypeElement; 25 import javax.lang.model.type.DeclaredType; 26 import javax.lang.model.type.TypeMirror; 27 import javax.lang.model.util.SimpleTypeVisitor6; 32 import static javax.lang.model.element.ElementKind.CLASS; 33 import static javax.lang.model.element.ElementKind.INTERFACE; 34 import static javax.lang.model.element.Modifier.ABSTRACT;
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/external/javapoet/src/test/java/com/squareup/javapoet/ |
TypesTest.java | 18 import javax.lang.model.util.Elements; 19 import javax.lang.model.util.Types;
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/external/junit/src/main/java/org/junit/internal/runners/statements/ |
RunBefores.java | 5 import org.junit.runners.model.FrameworkMethod; 6 import org.junit.runners.model.Statement;
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/external/junit/src/main/java/org/junit/runner/ |
Computer.java | 4 import org.junit.runners.model.InitializationError; 5 import org.junit.runners.model.RunnerBuilder;
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/external/libaom/libaom/test/ |
noise_model_test.cc | 271 aom_noise_model_t model; local 273 EXPECT_TRUE(aom_noise_model_init(&model, params)); 279 EXPECT_EQ(kNumCoords, model.n); 282 EXPECT_EQ(coord[0], model.coords[i][0]); 283 EXPECT_EQ(coord[1], model.coords[i][1]); 285 aom_noise_model_free(&model); 289 aom_noise_model_t model; local 291 EXPECT_TRUE(aom_noise_model_init(&model, params)); 292 EXPECT_EQ(6, model.n); 296 EXPECT_EQ(kNumCoords, model.n) 306 aom_noise_model_t model; local 313 aom_noise_model_t model; local 320 aom_noise_model_t model; local 596 aom_noise_model_t &model = this->model_; local 660 aom_noise_model_t &model = this->model_; local 737 aom_noise_model_t &model = this->model_; local 821 aom_noise_model_t &model = this->model_; local [all...] |
/external/libtextclassifier/actions/ |
ngram-model.h | 32 const NGramLinearRegressionModel* model, const Tokenizer* tokenizer, 35 // Evaluates an n-gram linear regression model, and tests against the 45 NGramModel(const NGramLinearRegressionModel* model,
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/external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
clip_weights_impl.py | 35 def clip_discriminator_weights(optimizer, model, weight_clip): 40 model: A GANModel namedtuple. 51 return clip_variables(optimizer, model.discriminator_variables, weight_clip)
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/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
convert_pure_conv_to_depthwise.cc | 21 #include "tensorflow/lite/toco/model.h" 27 ::tensorflow::Status ConvertPureConvToDepthwise::Run(Model* model, 31 auto conv_it = model->operators.begin() + op_index; 44 auto& input_array = model->GetArray(conv_op->inputs[0]); 56 if (CountOpsWithInput(*model, weights_name) > 1) { 64 auto& weights_array = model->GetArray(weights_name); 84 model->EraseArray(conv_op->outputs[1]); 96 model->operators.emplace(conv_it, depthwiseconv_op); 99 model->operators.erase(conv_it) [all...] |
remove_trivial_binary.cc | 23 #include "tensorflow/lite/toco/model.h" 49 ::tensorflow::Status RemoveTrivialBinaryOperator::Run(Model* model, 53 const auto binary_it = model->operators.begin() + op_index; 67 IsConstantParameterArray(*model, binary_op->inputs[0]), 68 IsConstantParameterArray(*model, binary_op->inputs[1]), 86 const auto& input_array_0 = model->GetArray(binary_op->inputs[0]); 87 const auto& input_array_1 = model->GetArray(binary_op->inputs[1]); 106 model->GetArray(binary_op->inputs[index_of_constant_input]); 132 *modified = RemoveTrivialPassthroughOp(this, model, op_index) [all...] |
resolve_constant_random_uniform.cc | 19 #include "tensorflow/lite/toco/model.h" 29 bool ComputeRandomUniformArray(Model* model, RandomUniformOperator* op) { 35 auto& output_array = model->GetArray(op->outputs[0]); 62 ::tensorflow::Status ResolveConstantRandomUniform::Run(Model* model, 66 const auto it = model->operators.begin() + op_index; 76 auto& output_array = model->GetArray(op->outputs[0]); 97 if (!ComputeRandomUniformArray<ArrayDataType::kFloat>(model, op)) { 111 toco::DeleteArrayIfUsedOnce(op->inputs[0], model); [all...] |
/external/tensorflow/tensorflow/python/keras/wrappers/ |
scikit_learn_test.py | 37 model = keras.models.Sequential() 38 model.add(keras.layers.Dense(INPUT_DIM, input_shape=(INPUT_DIM,))) 39 model.add(keras.layers.Activation('relu')) 40 model.add(keras.layers.Dense(hidden_dim)) 41 model.add(keras.layers.Activation('relu')) 42 model.add(keras.layers.Dense(NUM_CLASSES)) 43 model.add(keras.layers.Activation('softmax')) 44 model.compile( 46 return model 73 model = keras.models.Sequential( [all...] |
/external/tensorflow/tensorflow/python/util/ |
serialization_test.py | 52 model = sequential.Sequential() 53 model.add(core.Dense(4)) 54 model.add(core.Dense(5)) 55 model(constant_op.constant([[1.]])) 57 json.dumps(model, default=serialization.get_json_type)) 65 model = training.Model(x, y) 66 model(constant_op.constant([[1., 1., 1.]])) 68 json.dumps(model, default=serialization.get_json_type))
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/external/testng/src/main/java/org/testng/reporters/jq/ |
BannerPanel.java | 7 public BannerPanel(Model model) { 8 super(model);
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BasePanel.java | 12 private Model m_model; 14 public BasePanel(Model model) { 15 m_model = model; 18 protected Model getModel() {
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/external/u-boot/arch/arm/dts/ |
at91sam9g15.dtsi | 13 model = "Atmel AT91SAM9G15 SoC";
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at91sam9g25.dtsi | 15 model = "Atmel AT91SAM9G25 SoC";
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at91sam9g35.dtsi | 14 model = "Atmel AT91SAM9G35 SoC";
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at91sam9g35ek.dts | 15 model = "Atmel AT91SAM9G35-EK";
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