/frameworks/ml/nn/runtime/test/specs/V1_1/ |
H A D | mean.mod.py | 3 axis = Parameter("axis", "TENSOR_INT32", "{1}", [2]) variable 7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_float_1.mod.py | 3 axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3]) variable 7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_float_1_relaxed.mod.py | 19 axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3]) variable 23 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_float_2.mod.py | 3 axis = Parameter("axis", "TENSOR_INT32", "{2}", [0, 2]) variable 7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_float_2_relaxed.mod.py | 19 axis = Parameter("axis", "TENSOR_INT32", "{2}", [0, 2]) variable 23 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_quant8_1.mod.py | 3 axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3]) variable 7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_quant8_2.mod.py | 3 axis = Parameter("axis", "TENSOR_INT32", "{2}", [0, 2]) variable 7 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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H A D | mean_relaxed.mod.py | 19 axis = Parameter("axis", "TENSOR_INT32", "{1}", [2]) variable 23 model = model.Operation("MEAN", i1, axis, keepDims).To(output)
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/frameworks/ml/nn/runtime/test/generated/models/ |
H A D | mean.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_float_1.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 4); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_float_1_relaxed.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 4); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_float_2.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_float_2_relaxed.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_quant8_1.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 4); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_quant8_2.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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H A D | mean_relaxed.model.cpp | 9 auto axis = model->addOperand(&type1); local 14 model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1); 17 model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {output});
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/frameworks/ml/nn/common/operations/ |
H A D | Concatenation.cpp | 26 const std::vector<Shape>& inputShapes, int32_t axis, 37 getNumberOfDimensions(outputShape) - axis - 1, 45 const std::vector<Shape>& inputShapes, int32_t axis, 56 getNumberOfDimensions(outputShape) - axis - 1, 25 concatenationFloat32(const std::vector<const float*>& inputDataPtrs, const std::vector<Shape>& inputShapes, int32_t axis, float* outputData, const Shape& outputShape) argument 44 concatenationQuant8(const std::vector<const uint8_t*>& inputDataPtrs, const std::vector<Shape>& inputShapes, int32_t axis, uint8_t* outputData, const Shape& outputShape) argument
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/frameworks/native/libs/vr/libdvrcommon/tests/ |
H A D | pose_test.cpp | 56 for (int axis = 0; axis < 3; ++axis) { 58 start_position[axis] = FT(1.0); 81 for (int axis = 0; axis < 3; ++axis) { 83 start_position[axis] = FT(1.0); 110 for (int axis = 0; axis < [all...] |
/frameworks/base/graphics/java/android/graphics/ |
H A D | FontFamily.java | 114 for (FontVariationAxis axis : axes) { 115 nAddAxisValue(mBuilderPtr, axis.getOpenTypeTagValue(), axis.getStyleValue()); 131 for (FontVariationAxis axis : axes) { 132 nAddAxisValue(mBuilderPtr, axis.getOpenTypeTagValue(), axis.getStyleValue()); 157 for (FontVariationAxis axis : axes) { 158 nAddAxisValue(mBuilderPtr, axis.getOpenTypeTagValue(), axis.getStyleValue()); 189 // The added axis value [all...] |
/frameworks/base/core/jni/android/graphics/ |
H A D | FontUtils.h | 50 AxisHelper(JNIEnv* env, jobject axis) : mEnv(env), mAxis(axis) {} argument
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/frameworks/native/libs/input/ |
H A D | Input.cpp | 91 float PointerCoords::getAxisValue(int32_t axis) const { 92 if (axis < 0 || axis > 63 || !BitSet64::hasBit(bits, axis)){ 95 return values[BitSet64::getIndexOfBit(bits, axis)]; 98 status_t PointerCoords::setAxisValue(int32_t axis, float value) { argument 99 if (axis < 0 || axis > 63) { 103 uint32_t index = BitSet64::getIndexOfBit(bits, axis); 104 if (!BitSet64::hasBit(bits, axis)) { 124 scaleAxisValue(PointerCoords& c, int axis, float scaleFactor) argument 173 tooManyAxes(int axis) argument 292 getRawAxisValue(int32_t axis, size_t pointerIndex) const argument 296 getAxisValue(int32_t axis, size_t pointerIndex) const argument 312 getHistoricalRawAxisValue(int32_t axis, size_t pointerIndex, size_t historicalIndex) const argument 317 getHistoricalAxisValue(int32_t axis, size_t pointerIndex, size_t historicalIndex) const argument 532 getLabel(int32_t axis) argument [all...] |
H A D | InputDevice.cpp | 170 int32_t axis, uint32_t source) const { 174 if (range.axis == axis && range.source == source) { 185 void InputDeviceInfo::addMotionRange(int32_t axis, uint32_t source, float min, float max, argument 187 MotionRange range = { axis, source, min, max, flat, fuzz, resolution }; 169 getMotionRange( int32_t axis, uint32_t source) const argument
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/frameworks/support/compat/src/main/java/androidx/core/view/ |
H A D | MotionEventCompat.java | 557 * Get axis value for the first pointer index (may be an 560 * @param axis The axis identifier for the axis value to retrieve. 569 public static float getAxisValue(MotionEvent event, int axis) { argument 570 return event.getAxisValue(axis); 574 * Returns the value of the requested axis for the given pointer <em>index</em> 577 * @param axis The axis identifier for the axis valu 589 getAxisValue(MotionEvent event, int axis, int pointerIndex) argument [all...] |
/frameworks/native/include/input/ |
H A D | InputDevice.h | 66 int32_t axis; member in struct:android::InputDeviceInfo::MotionRange 91 const MotionRange* getMotionRange(int32_t axis, uint32_t source) const; 94 void addMotionRange(int32_t axis, uint32_t source,
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H A D | KeyLayoutMap.h | 42 // When split, this is the axis used for values smaller than the split position. 43 int32_t axis; member in struct:android::AxisInfo 45 // When split, this is the axis used for values after higher than the split position. 54 AxisInfo() : mode(MODE_NORMAL), axis(-1), highAxis(-1), splitValue(0), flatOverride(-1) {
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