| /prebuilts/tools/common/m2/repository/org/jetbrains/kotlin/kotlin-compiler-embeddable/1.0.5/ |
| kotlin-compiler-embeddable-1.0.5.jar | |
| /external/scapy/scapy/layers/tls/crypto/ |
| pkcs1.py | 75 md5_hash = hashes.Hash(_get_hash("md5"), backend=default_backend())
77 sha1_hash = hashes.Hash(_get_hash("sha1"), backend=default_backend())
|
| /external/skia/bench/ |
| GeometryBench.cpp | 23 bool isSuitableFor(Backend backend) override {
24 return kNonRendering_Backend == backend;
|
| InterpBench.cpp | 33 bool isSuitableFor(Backend backend) override {
34 return backend == kNonRendering_Backend;
|
| Matrix44Bench.cpp | 20 bool isSuitableFor(Backend backend) override {
21 return backend == kNonRendering_Backend;
|
| SKPBench.cpp | 104 bool SKPBench::isSuitableFor(Backend backend) {
105 return backend != kNonRendering_Backend;
|
| /external/skia/include/gpu/ |
| GrContext.h | 58 * Creates a GrContext for a backend context.
76 * Makes a GrContext which uses Metal as the backend. The device parameter is an MTLDevice
77 * and queue is an MTLCommandQueue which should be used by the backend. These objects must
97 * The flag bits, state, is dpendent on which backend is used by the
121 * Abandons all GPU resources and assumes the underlying backend 3D API context is no longer
124 * GrContext and any of its created resource objects will not make backend 3D API calls. Content
301 * be either initialized or not. If they are initialized, the backend uses the passed in
309 * If the backend API is OpenGL only uninitialized GrBackendSemaphores are supported.
310 * If the backend API is Vulkan either initialized or unitialized semaphores are supported.
314 * If this call returns GrSemaphoresSubmited::kNo, the GPU backend will not have created o
[all...] |
| /external/skqp/bench/ |
| GeometryBench.cpp | 23 bool isSuitableFor(Backend backend) override {
24 return kNonRendering_Backend == backend;
|
| InterpBench.cpp | 33 bool isSuitableFor(Backend backend) override {
34 return backend == kNonRendering_Backend;
|
| Matrix44Bench.cpp | 20 bool isSuitableFor(Backend backend) override {
21 return backend == kNonRendering_Backend;
|
| SKPBench.cpp | 104 bool SKPBench::isSuitableFor(Backend backend) {
105 return backend != kNonRendering_Backend;
|
| /external/skqp/include/gpu/ |
| GrContext.h | 55 * Creates a GrContext for a backend context.
73 * Makes a GrContext which uses Metal as the backend. The device parameter is an MTLDevice
74 * and queue is an MTLCommandQueue which should be used by the backend. These objects must
94 * The flag bits, state, is dpendent on which backend is used by the
118 * Abandons all GPU resources and assumes the underlying backend 3D API context is no longer
121 * GrContext and any of its created resource objects will not make backend 3D API calls. Content
263 * be either initialized or not. If they are initialized, the backend uses the passed in
271 * If the backend API is OpenGL only uninitialized GrBackendSemaphores are supported.
272 * If the backend API is Vulkan either initialized or unitialized semaphores are supported.
276 * If this call returns GrSemaphoresSubmited::kNo, the GPU backend will not have created o
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/service/ |
| backend.cc | 18 #include "tensorflow/compiler/xla/service/backend.h"
65 struct Backend::EigenThreadPoolWrapper {
78 /* static */ StatusOr<std::unique_ptr<Backend>> Backend::CreateBackend(
88 std::unique_ptr<Backend> backend(
89 new Backend(platform, compiler, stream_executors, transfer_manager,
91 return std::move(backend);
94 /* static */ StatusOr<std::unique_ptr<Backend>>
95 Backend::CreateDefaultBackend()
[all...] |
| /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/ |
| vgg16.py | 31 from tensorflow.python.keras._impl.keras import backend as K
226 if K.backend() == 'theano':
|
| vgg19.py | 31 from tensorflow.python.keras._impl.keras import backend as K
235 if K.backend() == 'theano':
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
| advanced_activations.py | 22 from tensorflow.python.keras._impl.keras import backend as K
146 if K.backend() == 'theano':
|
| convolutional_recurrent_test.py | 68 keras.backend.eval(layer.states[0]), state, atol=1e-4)
165 layer(keras.backend.variable(np.ones(inputs.shape)))
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| testing_utils.py | 108 if keras.backend.dtype(y) != expected_output_dtype:
113 keras.backend.dtype(y),
|
| /packages/apps/Settings/src/com/android/settings/notification/ |
| ConfigureNotificationSettings.java | 169 protected void setBackend(NotificationBackend backend) {
170 mBackend = backend;
|
| VisibilityPreferenceController.java | 46 NotificationBackend backend) {
47 super(context, backend);
|
| /packages/services/BuiltInPrintService/src/com/android/bips/ |
| LocalPrintJob.java | 28 import com.android.bips.ipp.Backend;
59 private final Backend mBackend;
70 LocalPrintJob(BuiltInPrintService printService, Backend backend, PrintJob printJob) {
72 mBackend = backend;
212 if (DEBUG) Log.d(TAG, "Starting backend print of " + mPrintJob);
|
| /packages/services/BuiltInPrintService/src/com/android/bips/ipp/ |
| CapabilitiesCache.java | 74 private final Backend mBackend;
83 public CapabilitiesCache(BuiltInPrintService service, Backend backend, int maxConcurrent) {
88 mBackend = backend;
134 * enough backend data and is suitable for printing. If full data is already available
|
| StartJobTask.java | 45 * defined by {@link Backend} ERROR_* codes or a non-negative code for success.
71 private final Backend mBackend;
81 StartJobTask(Context context, Backend backend, Uri destination, PrintJob printJob,
84 mBackend = backend;
125 File tempFolder = new File(mContext.getFilesDir(), Backend.TEMP_JOB_FOLDER);
128 return Backend.ERROR_FILE;
138 return Backend.ERROR_FILE;
146 return Backend.ERROR_CANCEL;
153 return Backend.ERROR_UNKNOWN
[all...] |
| /external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
| training_test.py | 718 keras.backend.eval(
720 keras.backend.variable(x),
721 keras.backend.variable(y),
722 keras.backend.variable(weights), keras.backend.variable(mask)))
[all...] |
| topology_test.py | 174 fn = keras.backend.function(
175 model.inputs + [keras.backend.learning_phase()], model.outputs)
306 fn = keras.backend.function(model.inputs, model.outputs)
327 fn = keras.backend.function(recreated_model.inputs,
376 fn = keras.backend.function(final_model.inputs, final_model.outputs)
386 fn = keras.backend.function(recreated_model.inputs,
424 fn = keras.backend.function(multi_io_model.inputs, multi_io_model.outputs)
434 fn = keras.backend.function(multi_io_model.inputs, multi_io_model.outputs)
446 fn = keras.backend.function(recreated_model.inputs,
561 return keras.backend.sum(x
[all...] |
