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Searched defs:axis (Results 1 – 25 of 125) sorted by relevance

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/aosp12/frameworks/native/services/inputflinger/reader/mapper/
H A DJoystickInputMapper.cpp36 const Axis& axis = pair.second; in populateDeviceInfo() local
45 void JoystickInputMapper::addMotionRange(int32_t axisId, const Axis& axis, InputDeviceInfo* info) { in addMotionRange()
61 int32_t JoystickInputMapper::getCompatAxis(int32_t axis) { in getCompatAxis()
147 Axis& axis = it->second; in configure() local
210 const Axis& axis = pair.second; in haveAxis() local
231 bool JoystickInputMapper::isCenteredAxis(int32_t axis) { in isCenteredAxis()
253 Axis& axis = pair.second; in reset() local
265 Axis& axis = it->second; in process() local
326 const Axis& axis = pair.second; in sync() local
350 void JoystickInputMapper::setPointerCoordsAxisValue(PointerCoords* pointerCoords, int32_t axis, in setPointerCoordsAxisValue()
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H A DSensorInputMapper.cpp70 int32_t sensorDataIndex, const Axis& axis) { in parseSensorConfiguration()
108 const Axis& axis = it->second; in dump() local
152 const Axis& axis = createAxis(axisInfo, rawAxisInfo); in configure() local
190 Axis& axis = pair.second; in reset() local
199 const Axis& axis) { in createSensor()
263 Axis& axis = it->second; in process() local
273 Axis& axis = pair.second; in process() local
327 Axis& axis = itAxis->second; in flushSensor() local
388 const Axis& axis = it->second; in sync() local
/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DSplit.cpp29 bool splitGeneric(const Scalar* inputData, const Shape& inputShape, int32_t axis, in splitGeneric()
55 bool splitFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis, in splitFloat16()
62 bool splitFloat32(const float* inputData, const Shape& inputShape, int32_t axis, in splitFloat32()
69 bool splitQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis, in splitQuant8()
76 bool splitQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis, in splitQuant8Signed()
83 bool splitInt32(const int32_t* inputData, const Shape& inputShape, int32_t axis, in splitInt32()
H A DL2Normalization.cpp48 inline bool l2normFloat32Impl(const float* inputData, const Shape& inputShape, int32_t axis, in l2normFloat32Impl()
76 inline bool l2normQuant8Impl(const uint8_t* inputData, const Shape& inputShape, int32_t axis, in l2normQuant8Impl()
108 inline bool l2normQuant8SignedImpl(const int8_t* inputData, const Shape& inputShape, int32_t axis, in l2normQuant8SignedImpl()
139 bool l2normFloat32(const float* inputData, const Shape& inputShape, int32_t axis, float* outputData, in l2normFloat32()
155 bool l2normFloat16(const _Float16* inputData, const Shape& inputShape, int32_t axis, in l2normFloat16()
168 bool l2normQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t axis, in l2normQuant8()
184 bool l2normQuant8Signed(const int8_t* inputData, const Shape& inputShape, int32_t axis, in l2normQuant8Signed()
240 int32_t axis = context->getNumInputs() == kNumInputs in prepare() local
263 int32_t axis = context->getNumInputs() == kNumInputs in execute() local
H A DExpandDims.cpp27 bool prepare(const Shape& input, int32_t axis, Shape* output) { in prepare()
40 bool eval(const uint8_t* inputData, const Shape& inputShape, int32_t axis, uint8_t* outputData, in eval()
H A DGather.cpp40 inline bool eval(const T* inputData, const Shape& inputShape, int32_t axis, in eval()
84 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in prepare() local
102 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in execute() local
H A DChannelShuffle.cpp38 inline bool eval(const T* inputData, const Shape& inputShape, int32_t numGroups, int32_t axis, in eval()
85 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in prepare() local
94 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in execute() local
H A DSoftmax.cpp54 int32_t axis, float* outputData, const Shape& outputShape) { in softmaxSlowFloat32()
85 bool softmaxFloat32(const float* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxFloat32()
102 int32_t axis, _Float16* outputData, const Shape& outputShape) { in softmaxFloat16()
116 bool softmaxQuant8Impl(const T* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxQuant8Impl()
203 bool softmaxQuant8(const T* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxQuant8()
287 int32_t axis = (context->getNumInputs() == kNumInputs) in execute() local
H A DSimpleMath.cpp33 bool meanFloat16(_Float16* inputData, const Shape& inputShape, const int32_t* axis, in meanFloat16()
48 bool meanGeneric(T* inputData, const Shape& inputShape, const int32_t* axis, const Shape& axisShape, in meanGeneric()
H A DArgMinMax.cpp29 static void argMinMaxImpl(const In* inputData, const Shape& inputShape, int32_t axis, bool isArgMin, in argMinMaxImpl()
51 bool argMinMaxGeneric(const uint8_t* inputData, const Shape& inputShape, int32 axis, bool isArgMin, in argMinMaxGeneric()
H A DLocalResponseNormalization.cpp53 int32_t axis, float* outputData, in localResponseNormFloat32Impl()
125 int32_t axis = context->getNumInputs() == kNumInputs in executeTyped() local
186 int32_t axis = context->getNumInputs() == kNumInputs in prepare() local
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
H A Dargmax_quant8_signed.mod.py18 axis = Int32Scalar("axis", 1) variable
36 axis = Int32Scalar("axis", 0) variable
56 axis = Int32Scalar("axis", -1) variable
H A Dargmin_quant8_signed.mod.py19 axis = Int32Scalar("axis", -1) variable
37 axis = Int32Scalar("axis", 0) variable
55 axis = Int32Scalar("axis", 1) variable
H A Dsplit_quant8_signed.mod.py18 axis = Int32Scalar("axis", 0) variable
41 axis = Int32Scalar("axis", 0) variable
62 axis = Int32Scalar("axis", 1) variable
85 axis = Int32Scalar("axis", 1) variable
H A Dl2_normalization_quant8_signed.mod.py19 axis = Int32Scalar("axis", -1) # last axis variable
53 axis = Int32Scalar("axis", -1) # last axis variable
H A Dgather_quant8_signed.mod.py18 axis = 1 variable
46 def test(input0, axis, indices, output0, input_data, output_data): argument
H A Dmean_quant8_signed.mod.py18 axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3]) variable
42 axis = Parameter("axis", "TENSOR_INT32", "{2}", [0, 2]) variable
H A Dchannel_shuffle_quant8_signed.mod.py19 axis = Int32Scalar("axis", -1) # last axis variable
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
H A Dl2_normalization_axis.mod.py20 axis = Int32Scalar("axis", -1) # last axis variable
54 axis = Int32Scalar("axis", -1) # last axis variable
H A Dchannel_shuffle.mod.py19 axis = Int32Scalar("axis", -1) # last axis variable
H A Dlocal_response_normalization_v1_2.mod.py19 axis = Int32Scalar("axis", -1) # last axis variable
H A Dargmax_1.mod.py18 axis = Int32Scalar("axis", 1) variable
/aosp12/hardware/libhardware/tests/input/evdev/
H A DInputMocks.h57 virtual bool hasRelativeAxis(int axis) const override { return mRelAxes.count(axis); } in hasRelativeAxis()
58 virtual bool hasAbsoluteAxis(int32_t axis) const override { return mAbsAxes.count(axis); } in hasAbsoluteAxis()
76 void addRelAxis(int32_t axis) { mRelAxes.insert(axis); } in addRelAxis()
77 void addAbsAxis(int32_t axis, AbsoluteAxisInfo* info) { mAbsAxes[axis] = info; } in addAbsAxis()
84 virtual const AbsoluteAxisInfo* getAbsoluteAxisInfo(int32_t axis) const override { in getAbsoluteAxisInfo()
91 virtual status_t getAbsoluteAxisValue(int32_t axis, int32_t* outValue) const override { in getAbsoluteAxisValue()
/aosp12/frameworks/native/libs/vr/libdvrcommon/tests/
H A Dpose_test.cpp56 for (int axis = 0; axis < 3; ++axis) { in TYPED_TEST() local
81 for (int axis = 0; axis < 3; ++axis) { in TYPED_TEST() local
110 for (int axis = 0; axis < 3; ++axis) { in TYPED_TEST() local
136 for (int axis = 0; axis < 3; ++axis) { in TYPED_TEST() local
/aosp12/frameworks/base/startop/scripts/app_startup/
H A Danalyze_metrics.py281 def stats_standard_error_one(a, axis): argument
287 def stats_standard_error(a, b, axis): argument
299 def stats_tvalue(a, b, axis, delta = 0): argument
305 def stats_pvalue(a, b, axis, delta, left:bool = False): argument

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