/external/llvm-project/mlir/lib/Dialect/GPU/Transforms/ |
D | ParallelLoopMapper.cpp | 49 if (processor != gpu::Processor::Sequential && in setMappingAttr() 64 enum MappingLevel { MapGrid = 0, MapBlock = 1, Sequential = 2 }; enumerator 73 if (mappingLevel < Sequential) { in operator ++() 88 if (dimension >= kNumHardwareIds || level == Sequential) in getHardwareIdForMapping() 89 return Processor::Sequential; in getHardwareIdForMapping() 100 return Processor::Sequential; in getHardwareIdForMapping() 112 return Processor::Sequential; in getHardwareIdForMapping() 116 return Processor::Sequential; in getHardwareIdForMapping()
|
/external/tensorflow/tensorflow/python/keras/wrappers/ |
D | scikit_learn.py | 27 from tensorflow.python.keras.models import Sequential 89 Sequential.fit, Sequential.predict, Sequential.predict_classes, 90 Sequential.evaluate 163 fit_args = copy.deepcopy(self.filter_sk_params(Sequential.fit)) 240 kwargs = self.filter_sk_params(Sequential.predict_classes, kwargs) 263 kwargs = self.filter_sk_params(Sequential.predict_proba, kwargs) 294 kwargs = self.filter_sk_params(Sequential.evaluate, kwargs) 332 kwargs = self.filter_sk_params(Sequential.predict, kwargs) 351 kwargs = self.filter_sk_params(Sequential.evaluate, kwargs)
|
/external/tensorflow/tensorflow/python/keras/engine/ |
D | sequential_test.py | 45 model = keras.models.Sequential() 56 model = keras.models.Sequential() 68 model = keras.models.Sequential(keras.layers.Dense(1)) 98 model = keras.models.Sequential() 105 model = keras.models.Sequential() 212 model = keras.models.Sequential() 221 inner_model = keras.models.Sequential() 224 model = keras.models.Sequential() 241 model = keras.models.Sequential() 280 new_model = keras.models.Sequential.from_config(config) [all …]
|
D | deferred_sequential_test.py | 163 m1 = keras.Sequential([shared_layer]) 165 m2 = keras.Sequential([shared_layer]) 169 m1 = keras.Sequential([shared_layer]) 170 m2 = keras.Sequential([shared_layer, m1]) 182 model = keras.Sequential([LossLayer()]) 191 model = keras.Sequential([ 202 model = keras.Sequential([ 213 model = keras.models.Sequential()
|
D | sequential.py | 52 class Sequential(functional.Functional): class 154 layers = super(Sequential, self).layers 360 super(Sequential, self).build(input_shape) 384 return super(Sequential, self).call(inputs, training=training, mask=mask) 476 for layer in super(Sequential, self).layers:
|
/external/tensorflow/tensorflow/python/keras/premade/ |
D | wide_deep_test.py | 44 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)]) 61 dnn_model = sequential.Sequential( 86 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)]) 123 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)]) 139 dnn_model = sequential.Sequential([core.Dense(units=1)]) 162 dnn_model = sequential.Sequential([core.Dense(units=1, input_dim=3)]) 165 sequential.Sequential([core.Dense(units=1, input_dim=3)])) 207 dnn_model = sequential.Sequential([core.Dense(units=1)]) 209 combined = sequential.Sequential([dense_feature_layer, wide_deep_model]) 237 combined_linear = sequential.Sequential( [all …]
|
/external/swiftshader/third_party/subzero/src/ |
D | IceThreading.h | 58 BoundedProducerConsumerQueue(bool Sequential, size_t MaxSize = MaxStaticSize) 59 : MaxSize(std::min(MaxSize, MaxStaticSize)), Sequential(Sequential) {} in MaxSize() 65 Shrunk.wait(L, [this] { return size() < MaxSize || Sequential; }); in blockingPush() 75 GrewOrEnded.wait(L, [this] { return IsEnded || !empty() || Sequential; }); 129 const bool Sequential; variable
|
/external/tensorflow/tensorflow/python/keras/tests/ |
D | get_config_test.py | 44 model = sequential.Sequential.from_config(get_config_samples.SEQUENTIAL_DNN) 48 model = sequential.Sequential.from_config(get_config_samples.SEQUENTIAL_CNN) 52 model = sequential.Sequential.from_config(
|
D | memory_checker_test.py | 36 model = keras.models.Sequential() 60 model = keras.Sequential([
|
D | model_architectures.py | 31 model = keras.Sequential([ 40 model = keras.Sequential([ 87 inner_model = keras.Sequential([ 142 inner_model = keras.Sequential([
|
/external/eigen/doc/snippets/ |
D | DenseBase_LinSpaced_seq.cpp | 1 cout << VectorXi::LinSpaced(Sequential,4,7,10).transpose() << endl; 2 cout << VectorXd::LinSpaced(Sequential,5,0.0,1.0).transpose() << endl;
|
/external/tensorflow/tensorflow/python/keras/ |
D | keras_parameterized_test.py | 64 self.assertNotIsInstance(models[0], keras.models.Sequential) 65 self.assertNotIsInstance(models[1], keras.models.Sequential) 66 self.assertIsInstance(models[2], keras.models.Sequential) 113 self.assertNotIsInstance(models[0], keras.models.Sequential) 114 self.assertNotIsInstance(models[1], keras.models.Sequential) 115 self.assertIsInstance(models[2], keras.models.Sequential) 154 self.assertNotIsInstance(models[0], keras.models.Sequential) 155 self.assertNotIsInstance(models[1], keras.models.Sequential) 193 self.assertNotIsInstance(models[0], keras.models.Sequential)
|
D | models.py | 46 Sequential = sequential.Sequential # pylint: disable=invalid-name variable 166 if isinstance(model, Sequential): 311 if not isinstance(model, Sequential): 337 cloned_model = Sequential(layers=layers, name=model.name) 350 cloned_model = Sequential( 360 cloned_model = Sequential(layers=[input_layer] + layers, name=model.name) 431 if isinstance(model, Sequential): 656 elif isinstance(model, Sequential):
|
D | optimizers_test.py | 39 model = keras.models.Sequential() 87 model = keras.models.Sequential() 170 model = keras.models.Sequential() 214 model = keras.models.Sequential() 241 model = keras.models.Sequential()
|
D | combinations_test.py | 124 self.assertNotIsInstance(models[0], keras_models.Sequential) 125 self.assertNotIsInstance(models[1], keras_models.Sequential) 126 self.assertIsInstance(models[2], keras_models.Sequential)
|
/external/llvm-project/mlir/include/mlir/Dialect/GPU/ |
D | ParallelLoopMapperAttr.td | 25 def Sequential : I64EnumAttrCase<"Sequential", 6>; 28 BlockX, BlockY, BlockZ, ThreadX, ThreadY, ThreadZ, Sequential]> {
|
/external/angle/third_party/abseil-cpp/absl/container/internal/ |
D | raw_hash_set_probe_benchmark.cc | 266 struct Sequential { struct 272 struct Sequential<Ptr<Align>*> { struct 283 struct Sequential<String<small>> { struct 289 struct Sequential<std::pair<T, U>> { struct 290 mutable Sequential<T> tseq; argument 291 mutable Sequential<U> useq; argument 325 mutable Sequential<T> current; 430 std::string Name(Sequential<T>*) { in Name() 492 RunForTypeAndDistribution<T, Sequential<T>>(results); in RunForType()
|
/external/tensorflow/tensorflow/python/keras/utils/ |
D | vis_utils_test.py | 31 model = keras.Sequential() 55 submodel = keras.Sequential( 94 model = keras.Sequential([
|
D | multi_gpu_utils_test.py | 68 model = keras.models.Sequential() 128 model = keras.models.Sequential() 184 model = keras.models.Sequential() 226 nested_model = keras.models.Sequential([
|
/external/llvm-project/flang/runtime/ |
D | connection.h | 21 enum class Access { Sequential, Direct, Stream }; enumerator 28 Access access{Access::Sequential}; // ACCESS='SEQUENTIAL', 'DIRECT', 'STREAM'
|
/external/tensorflow/tensorflow/python/keras/benchmarks/ |
D | keras_cpu_benchmark_test.py | 60 model = tf.keras.Sequential() 71 model = tf.keras.Sequential() 87 model = tf.keras.Sequential()
|
/external/llvm-project/llvm/test/MachineVerifier/ |
D | test_vector_reductions.mir | 28 ; CHECK: Bad machine code: Sequential FADD/FMUL vector reduction requires a scalar 1st operand 31 ; CHECK: Bad machine code: Sequential FADD/FMUL vector reduction must have a vector 2nd operand
|
/external/tensorflow/tensorflow/python/keras/integration_test/ |
D | module_test.py | 45 m = tf.keras.models.Sequential( 53 linear = tf.keras.models.Sequential(
|
/external/tensorflow/tensorflow/lite/micro/examples/magic_wand/train/ |
D | train_test.py | 54 self.assertIsInstance(cnn, tf.keras.Sequential) 55 self.assertIsInstance(lstm, tf.keras.Sequential)
|
/external/tensorflow/tensorflow/python/keras/saving/ |
D | save_test.py | 314 model = sequential.Sequential( 420 model = keras.models.Sequential() 455 model = keras.models.Sequential() 485 model = keras.models.Sequential() 509 model = keras.models.Sequential() 521 model = keras.models.Sequential() 535 model = keras.models.Sequential() 700 model = keras.models.Sequential() 724 model = keras.models.Sequential() 737 model = keras.models.Sequential() [all …]
|