/external/tensorflow/tensorflow/python/keras/ |
testing_utils.py | 45 """Generates test data to train a model on. 137 model = keras.models.Model(x, y) 141 actual_output = model.predict(input_data) 158 # test serialization, weight setting at model level 159 model_config = model.get_config() 160 recovered_model = keras.models.Model.from_config(model_config) 161 if model.weights: 162 weights = model.get_weights() 168 # Rebuild the model to avoid the graph being reused between predict() an [all...] |
/external/turbine/java/com/google/turbine/bytecode/ |
ClassWriter.java | 21 import com.google.turbine.model.Const.DoubleValue; 22 import com.google.turbine.model.Const.FloatValue; 23 import com.google.turbine.model.Const.IntValue; 24 import com.google.turbine.model.Const.LongValue; 25 import com.google.turbine.model.Const.StringValue; 26 import com.google.turbine.model.Const.Value;
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/cts/tests/openglperf2/jni/reference/scene/flocking/ |
WaterMeshNode.cpp | 23 void WaterMeshNode::before(Program& program, Matrix& model, Matrix& view, Matrix& projection) { 47 // This multiplies the view matrix by the model matrix, and stores the result in the MVP 48 // matrix (which currently contains model * view). 49 prog.mMVMatrix.multiply(view, model); 55 // the MVP matrix (which now contains model * view * projection). 68 void WaterMeshNode::after(Program& program, Matrix& model, Matrix& view, Matrix& projection) {
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/developers/samples/android/tv/ChannelsPrograms/Application/src/main/java/com/example/android/tv/channelsprograms/ |
SyncChannelJobService.java | 23 import com.example.android.tv.channelsprograms.model.MockDatabase; 24 import com.example.android.tv.channelsprograms.model.MockMovieService; 25 import com.example.android.tv.channelsprograms.model.Subscription;
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/external/caliper/caliper/src/main/java/com/google/caliper/worker/ |
ArbitraryMeasurementWorker.java | 19 import com.google.caliper.model.ArbitraryMeasurement; 20 import com.google.caliper.model.Measurement; 21 import com.google.caliper.model.Value;
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/external/dagger2/compiler/src/main/java/dagger/internal/codegen/ |
Scope.java | 24 import javax.lang.model.element.AnnotationMirror; 25 import javax.lang.model.element.Element; 26 import javax.lang.model.element.TypeElement;
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/external/javaparser/javaparser-symbol-solver-core/src/main/java/com/github/javaparser/symbolsolver/core/resolution/ |
Context.java | 22 import com.github.javaparser.symbolsolver.model.resolution.SymbolReference; 23 import com.github.javaparser.symbolsolver.model.resolution.TypeSolver; 24 import com.github.javaparser.symbolsolver.model.resolution.Value;
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/external/javaparser/javaparser-symbol-solver-core/src/main/java/com/github/javaparser/symbolsolver/javaparsermodel/contexts/ |
CatchClauseContext.java | 8 import com.github.javaparser.symbolsolver.model.resolution.SymbolReference; 9 import com.github.javaparser.symbolsolver.model.resolution.TypeSolver; 10 import com.github.javaparser.symbolsolver.model.resolution.Value;
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/external/junit/src/main/java/org/junit/experimental/ |
ParallelComputer.java | 10 import org.junit.runners.model.InitializationError; 11 import org.junit.runners.model.RunnerBuilder; 12 import org.junit.runners.model.RunnerScheduler;
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/external/tensorflow/tensorflow/lite/toco/ |
toco_convert.cc | 20 #include "tensorflow/lite/toco/model.h" 42 // Checks the permissions of the frozen model file. 78 std::unique_ptr<Model> model = local 80 TF_RETURN_IF_ERROR(TransformWithStatus(toco_flags, model.get())); 81 return Export(toco_flags, *model, toco_flags.allow_custom_ops(),
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/external/tensorflow/tensorflow/lite/tools/accuracy/ |
utils.cc | 27 #include "tensorflow/lite/model.h" 80 return errors::InvalidArgument("Invalid model file."); 85 return errors::InvalidArgument("Invalid model file: ", model_file_path, 89 std::unique_ptr<tflite::FlatBufferModel> model; local 91 model = tflite::FlatBufferModel::BuildFromFile(model_file_path.data()); 94 tflite::InterpreterBuilder(*model, resolver)(&interpreter); 96 return errors::InvalidArgument("Invalid model", model_file_path);
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/external/tensorflow/tensorflow/python/debug/examples/ |
debug_keras.py | 51 # Create a dummy model. 52 model = tf.keras.Sequential([ 54 model.compile(loss="mse", optimizer="sgd") 56 # Train the model using the dummy dataset created above. 57 model.fit(dataset, epochs=FLAGS.epochs, steps_per_epoch=steps_per_epoch) 87 help="Number of epochs to train the model for.")
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/external/tensorflow/tensorflow/python/keras/layers/ |
recurrent_v2_test.py | 54 model = keras.Sequential([ 60 model.compile(optimizer='adam', 63 model.fit(x, y, epochs=1, shuffle=False)
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/external/u-boot/board/freescale/common/ |
sgmii_riser.c | 51 const char *model; local 88 model = fdt_getprop(fdt, enet_node, "model", NULL); 98 if (!strstr(model, "TSEC"))
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/external/tensorflow/tensorflow/python/training/tracking/ |
util_test.py | 64 class MyModel(training.Model): 65 """A concrete Model for testing.""" 82 model = training.Model() 85 model.other_path = [layer_one, layer_two] 86 model.l2 = layer_two 87 model.l1 = layer_one 88 self.assertEqual([layer_one, layer_two], model.layers) 261 model = MyModel() 262 # A nuisance Model using the same optimizer. Its slot variables should no 720 model = Model() variable in class:CheckpointingTests.testAnonymousVarsInInit.Model [all...] |
/cts/common/device-side/util/src/com/android/compatibility/common/util/ |
BeforeAfterRule.java | 20 import org.junit.runners.model.Statement;
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/cts/common/device-side/util-axt/src/com/android/compatibility/common/util/ |
BeforeAfterRule.java | 20 import org.junit.runners.model.Statement;
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/cts/tests/core/runner/src/com/android/cts/core/runner/support/ |
TestNgRunnerBuilder.java | 22 import org.junit.runners.model.RunnerBuilder;
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/cts/tests/core/runner-axt/src/com/android/cts/core/runner/support/ |
TestNgRunnerBuilder.java | 22 import org.junit.runners.model.RunnerBuilder;
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/cts/tests/tests/uirendering/src/android/uirendering/cts/testinfrastructure/ |
Tracer.java | 23 import org.junit.runners.model.Statement;
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/cts/tests/tests/uirendering27/src/android/uirendering/cts/testinfrastructure/ |
Tracer.java | 23 import org.junit.runners.model.Statement;
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/developers/build/prebuilts/androidtv/leanback/app/src/main/java/com/example/android/tvleanback/presenter/ |
DetailsDescriptionPresenter.java | 21 import com.example.android.tvleanback.model.Movie;
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/developers/build/prebuilts/gradle/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/model/ |
DefaultFieldTypeWithHints.java | 17 package com.example.android.autofill.service.model; 22 * JSON model class, representing an autofillable field type. It is called "Default" because only
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FieldTypeWithHeuristics.java | 17 package com.example.android.autofill.service.model;
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/developers/samples/android/input/autofill/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/model/ |
DefaultFieldTypeWithHints.java | 17 package com.example.android.autofill.service.model; 22 * JSON model class, representing an autofillable field type. It is called "Default" because only
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