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Searched refs:Sequential (Results 1 – 25 of 229) sorted by relevance

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/external/llvm-project/mlir/lib/Dialect/GPU/Transforms/
DParallelLoopMapper.cpp49 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/
Dscikit_learn.py27 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/
Dsequential_test.py45 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)
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Ddeferred_sequential_test.py163 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()
Dsequential.py52 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/
Dwide_deep_test.py44 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(
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/external/swiftshader/third_party/subzero/src/
DIceThreading.h58 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/
Dget_config_test.py44 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(
Dmemory_checker_test.py36 model = keras.models.Sequential()
60 model = keras.Sequential([
Dmodel_architectures.py31 model = keras.Sequential([
40 model = keras.Sequential([
87 inner_model = keras.Sequential([
142 inner_model = keras.Sequential([
/external/eigen/doc/snippets/
DDenseBase_LinSpaced_seq.cpp1 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/
Dkeras_parameterized_test.py64 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)
Dmodels.py46 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):
Doptimizers_test.py39 model = keras.models.Sequential()
87 model = keras.models.Sequential()
170 model = keras.models.Sequential()
214 model = keras.models.Sequential()
241 model = keras.models.Sequential()
Dcombinations_test.py124 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/
DParallelLoopMapperAttr.td25 def Sequential : I64EnumAttrCase<"Sequential", 6>;
28 BlockX, BlockY, BlockZ, ThreadX, ThreadY, ThreadZ, Sequential]> {
/external/angle/third_party/abseil-cpp/absl/container/internal/
Draw_hash_set_probe_benchmark.cc266 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/
Dvis_utils_test.py31 model = keras.Sequential()
55 submodel = keras.Sequential(
94 model = keras.Sequential([
Dmulti_gpu_utils_test.py68 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/
Dconnection.h21 enum class Access { Sequential, Direct, Stream }; enumerator
28 Access access{Access::Sequential}; // ACCESS='SEQUENTIAL', 'DIRECT', 'STREAM'
/external/tensorflow/tensorflow/python/keras/benchmarks/
Dkeras_cpu_benchmark_test.py60 model = tf.keras.Sequential()
71 model = tf.keras.Sequential()
87 model = tf.keras.Sequential()
/external/llvm-project/llvm/test/MachineVerifier/
Dtest_vector_reductions.mir28 ; 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/
Dmodule_test.py45 m = tf.keras.models.Sequential(
53 linear = tf.keras.models.Sequential(
/external/tensorflow/tensorflow/lite/micro/examples/magic_wand/train/
Dtrain_test.py54 self.assertIsInstance(cnn, tf.keras.Sequential)
55 self.assertIsInstance(lstm, tf.keras.Sequential)
/external/tensorflow/tensorflow/python/keras/saving/
Dsave_test.py314 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()
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