| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | reduce_sum.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_SUM", input0, axes, keep_dims).To(output0)
29 axes=[-1],
40 axes=[0],
51 axes=[1, 0, -3, -3],
62 axes=[0, 2],
|
| D | reduce_prod.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_PROD", input0, axes, keep_dims).To(output0)
29 axes=[-1],
40 axes=[0],
51 axes=[1, 0, -3, -3],
62 axes=[0, 2],
|
| D | reduce_max.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_MAX", input0, axes, keep_dims).To(output0)
33 axes=[-1],
44 axes=[0],
55 axes=[1, 0, -3, -3],
66 axes=[0, 2],
|
| D | reduce_min.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_MIN", input0, axes, keep_dims).To(output0)
33 axes=[-1],
44 axes=[0],
55 axes=[1, 0, -3, -3],
66 axes=[0, 2],
|
| D | reduce_all.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_ALL", input0, axes, keep_dims).To(output0)
27 axes=[0],
37 axes=[1, 0, -3, -3],
47 axes=[0, 2],
|
| D | reduce_any.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_ANY", input0, axes, keep_dims).To(output0)
29 axes=[0],
39 axes=[1, 0, -3, -3],
49 axes=[0, 2],
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | reduce_max_quant8_signed.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_MAX", input0, axes, keep_dims).To(output0)
33 axes=[-1],
44 axes=[0],
55 axes=[1, 0, -3, -3],
66 axes=[0, 2],
|
| D | reduce_min_quant8_signed.mod.py | 17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
18 model = Model().Operation("REDUCE_MIN", input0, axes, keep_dims).To(output0)
33 axes=[-1],
44 axes=[0],
55 axes=[1, 0, -3, -3],
66 axes=[0, 2],
|
| /packages/apps/Settings/src/com/android/settings/accessibility/ |
| D | TextReadingPreviewPager.java | 42 public void onNestedScrollAccepted(View child, View target, int axes) { in onNestedScrollAccepted() argument
43 super.onNestedScrollAccepted(child, target, axes); in onNestedScrollAccepted()
|
| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Reduce.cpp | 71 const int32_t* axes = context->getInputBuffer<int32_t>(kInputAxes); in prepare() local
76 int32_t axis = axes[i]; in prepare()
|
| /packages/modules/IntentResolver/java/src/com/android/intentresolver/widget/ |
| D | ResolverDrawerLayout.java | 818 public void onNestedScrollAccepted(View child, View target, int axes) {
819 super.onNestedScrollAccepted(child, target, axes);
|
| /packages/apps/TV/libs/m2/ |
| D | auto-value-1.5.3.jar | META-INF/
META-INF/MANIFEST.MF
com/
com/google/
com/ ... |
| D | guava-28.0-android.jar | META-INF/MANIFEST.MF
META-INF/
META-INF/maven/
META- ... |
| D | guava-28.0-jre.jar | META-INF/MANIFEST.MF
META-INF/
META-INF/maven/
META- ... |
| /packages/apps/ManagedProvisioning/studio-dev/StubGenerator/ |
| D | StubGenerator.jar | META-INF/
META-INF/MANIFEST.MF
org/
org/jf/
org/ ... |
| /packages/apps/TV/libs/ |
| D | google-java-format-1.7-all-deps.jar | META-INF/
META-INF/MANIFEST.MF
com/
com/google/
com/ ... |
| /packages/services/Telecomm/libs/ |
| D | guava.jar | META-INF/
META-INF/MANIFEST.MF
com/
com/google/
com/ ... |
| /packages/inputmethods/LatinIME/dictionaries/ |
| D | fr_wordlist.combined.gz | |
| D | en_GB_wordlist.combined.gz | |
| D | en_US_wordlist.combined.gz | |
| D | en_wordlist.combined.gz | |
| D | pt_BR_wordlist.combined.gz | 1dictionary=main:pt_br,locale=pt_BR,description=Português (Brasil),date ... |