| /ohos5.0/foundation/graphic/graphic_2d/rosen/modules/render_service_base/test/unittest/animation/ |
| H A D | rs_spring_model_test.cpp | 59 …auto model2 = std::make_shared<RSSpringModel<float>>(1.0f, 1.0f, initialOffset, initialVelocity, 1… variable
95 …auto model2 = std::make_shared<RSSpringModel<Color>>(1.0f, 1.0f, initialOffset, initialVelocity, 1… variable
127 …auto model2 = std::make_shared<RSSpringModel<Matrix3f>>(1.0f, 1.0f, initialOffset, initialVelocity… variable
159 …auto model2 = std::make_shared<RSSpringModel<Vector2f>>(1.0f, 1.0f, initialOffset, initialVelocity… variable
191 …auto model2 = std::make_shared<RSSpringModel<Vector4f>>(1.0f, 1.0f, initialOffset, initialVelocity… variable
223 …auto model2 = std::make_shared<RSSpringModel<Quaternion>>(1.0f, 1.0f, initialOffset, initialVeloci… variable
257 …auto model2 = std::make_shared<RSSpringModel<Vector4<Color>>>(1.0f, 1.0f, initialOffset, initialVe… variable
290 auto model2 = variable
333 auto model2 = std::make_shared<RSSpringModel<std::shared_ptr<RSRenderPropertyBase>>>(1.0f, 1.0f, variable
376 …auto model2 = std::make_shared<RSSpringModel<RRect>>(1.0f, 1.0f, initialOffset, initialVelocity, 1… variable
|
| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| H A D | expand_dims_quant8_signed.mod.py | 26 model2 = Model().Operation("EXPAND_DIMS", input0, 2).To(output2) variable
|
| H A D | axis_aligned_bbox_transform_quant8_signed.mod.py | 76 model2 = Model().Operation("AXIS_ALIGNED_BBOX_TRANSFORM", r2, d2, b2, i2).To(o2) variable
|
| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| H A D | expand_dims.mod.py | 26 model2 = Model().Operation("EXPAND_DIMS", input0, 2).To(output2) variable
|
| H A D | axis_aligned_bbox_transform.mod.py | 75 model2 = Model().Operation("AXIS_ALIGNED_BBOX_TRANSFORM", r2, d2, b2, i2).To(o2) variable
|
| /aosp12/packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_parameter/ |
| H A D | mean_implicit.mod.py | 22 model2 = Model().Operation("MEAN", i0, [1], 1).To(o2) # along axis 1, keep_dim=True variable
|
| /aosp12/packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_implicit_parameter/ |
| H A D | mean_implicit.mod.py | 22 model2 = Model().Operation("MEAN", i0, [1], 1).To(o2) # along axis 1, keep_dim=True variable
|
| /aosp12/hardware/interfaces/neuralnetworks/aidl/vts/functional/ |
| H A D | MemoryDomainTests.cpp | 341 const std::shared_ptr<IPreparedModel>& model2) { in testConflictOperands()
|
| /aosp12/hardware/interfaces/neuralnetworks/1.3/vts/functional/ |
| H A D | MemoryDomainTests.cpp | 344 void testConflictOperands(const sp<IPreparedModel>& model1, const sp<IPreparedModel>& model2) { in testConflictOperands()
|
| /aosp12/packages/modules/NeuralNetworks/runtime/test/ |
| H A D | TestPartitioning.cpp | 1928 PartitioningModel model2; in TEST_F() local
|