/frameworks/ml/nn/common/ |
D | CpuExecutor.cpp | 71 bool setOutputShape(uint32_t index, const Shape& shape) override; 113 return getInputInfo(index)->shape(); in getInputShape() 129 return getOutputInfo(index)->shape(); in getOutputShape() 154 bool setInfoAndAllocateIfNeeded(RunTimeOperandInfo* info, const Shape& shape, int* result) { in setInfoAndAllocateIfNeeded() argument 158 if (info->type != shape.type) { in setInfoAndAllocateIfNeeded() 163 if (info->scale != shape.scale) { in setInfoAndAllocateIfNeeded() 168 if (info->zeroPoint != shape.offset) { in setInfoAndAllocateIfNeeded() 173 if (info->extraParams != shape.extraParams) { in setInfoAndAllocateIfNeeded() 180 auto combined = combineDimensions(shape.dimensions, info->dimensions); in setInfoAndAllocateIfNeeded() 187 info->type = shape.type; in setInfoAndAllocateIfNeeded() [all …]
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D | IndexedShapeWrapper.cpp | 24 IndexedShapeWrapper::IndexedShapeWrapper(const Shape& wrapped_shape) : shape(&wrapped_shape) { in IndexedShapeWrapper() 25 strides.resize(shape->dimensions.size()); in IndexedShapeWrapper() 28 strides[i] = shape->dimensions[i + 1] * strides[i + 1]; in IndexedShapeWrapper() 37 if (index->at(i) < shape->dimensions[i] - 1) { in nextIndexInplace() 48 if (index->at(i) == shape->dimensions[i]) { in nextIndexInplace() 75 uint32_t currentDimSize = shape->dimensions[shape->dimensions.size() - i]; in broadcastedIndexToFlatIndex() 85 if (index.size() != shape->dimensions.size()) { in isValid() 88 << toString(shape->dimensions); in isValid() 92 if (index[i] >= shape->dimensions[i]) { in isValid() 94 << " is out of range for shape: " << toString(shape->dimensions); in isValid()
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D | OperationsUtils.cpp | 136 uint32_t getNumberOfElements(const Shape& shape) { in getNumberOfElements() argument 138 for (size_t i = 0; i < shape.dimensions.size(); i++) { in getNumberOfElements() 139 count *= shape.dimensions[i]; in getNumberOfElements() 144 uint32_t getNumberOfElements(const Shape& shape, size_t firstAxisInclusive, in getNumberOfElements() argument 148 nnAssert(lastAxisExclusive <= shape.dimensions.size()); in getNumberOfElements() 151 count *= shape.dimensions[i]; in getNumberOfElements() 156 uint32_t getNumberOfDimensions(const Shape& shape) { in getNumberOfDimensions() argument 157 return shape.dimensions.size(); in getNumberOfDimensions() 160 uint32_t getSizeOfDimension(const Shape& shape, uint32_t dimensionIdx) { in getSizeOfDimension() argument 161 nnAssert(0 <= dimensionIdx && dimensionIdx < shape.dimensions.size()); in getSizeOfDimension() [all …]
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/frameworks/ml/nn/common/include/ |
D | CpuOperationUtils.h | 34 inline tflite::Dims<4> convertShapeToDims(const Shape& shape) { in convertShapeToDims() argument 35 nnAssert(shape.dimensions.size() <= 4); in convertShapeToDims() 40 int src = static_cast<int>(shape.dimensions.size()) - i - 1; in convertShapeToDims() 42 dims.sizes[i] = static_cast<int>(getSizeOfDimension(shape, src)); in convertShapeToDims() 55 inline tflite::RuntimeShape convertShapeToTflshape(const Shape& shape) { in convertShapeToTflshape() argument 56 std::vector<int32_t> tflShapeDim(shape.dimensions.begin(), shape.dimensions.end()); in convertShapeToTflshape() 161 bool initialize(const T* data, const Shape& shape) { in initialize() argument 163 mShape = shape; in initialize() 165 return convertNchwToNhwc(mDataOriginal, shape, &mDataNhwc, &mShape); in initialize() 185 bool initialize(T* data, const Shape& shape) { in initialize() argument [all …]
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D | OperationsUtils.h | 105 virtual bool setOutputShape(uint32_t index, const Shape& shape) = 0; 147 uint32_t getNumberOfElements(const Shape& shape); 148 uint32_t getNumberOfElements(const Shape& shape, size_t firstAxisInclusive, 151 uint32_t getNumberOfDimensions(const Shape& shape); 153 uint32_t getSizeOfDimension(const Shape& shape, uint32_t dimensionIdx); 155 uint32_t hasKnownRank(const Shape& shape); 160 inline bool handleNegativeAxis(const Shape& shape, int32_t* axis) { in handleNegativeAxis() argument 161 return handleNegativeAxis(getNumberOfDimensions(shape), axis); in handleNegativeAxis() 342 inline bool transposeFirstTwoDimensions(const T* buffer, const Shape& shape, T* transposedBuffer) { in transposeFirstTwoDimensions() argument 343 const int numDims = getNumberOfDimensions(shape); in transposeFirstTwoDimensions() [all …]
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/frameworks/av/services/camera/libcameraservice/tests/ |
D | DistortionMapperComp.py | 36 f.write('std::array<int32_t, %d> rawCoords = {\n' % (rawCoords.shape[0] * rawCoords.shape[1])) 37 for i in range(rawCoords.shape[0]): 41 f.write('std::array<int32_t, %d> expCoords = {\n' % (expCoords.shape[0] * expCoords.shape[2])) 42 for i in range(expCoords.shape[0]):
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/frameworks/ml/nn/common/operations/ |
D | BidirectionalSequenceLSTM.cpp | 337 NN_CHECK_EQ(aux_input_->shape().dimensions[0], input_->shape().dimensions[0]); in Prepare() 338 NN_CHECK_EQ(aux_input_->shape().dimensions[1], input_->shape().dimensions[1]); in Prepare() 383 const Shape& inputShape = input_->shape(); in Prepare() 420 *fwOutputActivationState = fw_activation_state_->shape(); in Prepare() 421 *fwOutputCellState = fw_cell_state_->shape(); in Prepare() 422 *bwOutputActivationState = bw_activation_state_->shape(); in Prepare() 423 *bwOutputCellState = bw_cell_state_->shape(); in Prepare() 443 std::vector<uint32_t> fw_output_dims = input_->shape().dimensions; in Eval() 460 Shape bwInputShape = input_->shape(); in Eval() 464 bwInputShape = aux_input_->shape(); in Eval() [all …]
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D | RNN.cpp | 72 const Shape& inputShape = input->shape(); in Prepare() 88 RNNStep<_Float16>(reinterpret_cast<_Float16*>(input_->buffer), input_->shape(), in Eval() 91 reinterpret_cast<_Float16*>(weights_->buffer), weights_->shape(), in Eval() 93 recurrent_weights_->shape(), activation_, in Eval() 96 sizeof(_Float16) * getNumberOfElements(output_->shape())); in Eval() 100 RNNStep<float>(reinterpret_cast<float*>(input_->buffer), input_->shape(), in Eval() 103 reinterpret_cast<float*>(weights_->buffer), weights_->shape(), in Eval() 105 recurrent_weights_->shape(), activation_, in Eval() 108 sizeof(float) * getNumberOfElements(output_->shape())); in Eval()
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D | SVDF.cpp | 97 const Shape& inputShape = input->shape(); in Prepare() 116 std::vector<float> inputDataFloat32(getNumberOfElements(input_->shape())); in Eval() 118 std::vector<float> inputStateDataFloat32(getNumberOfElements(state_in_->shape())); in Eval() 121 std::vector<float> biasDataFloat32(getNumberOfElements(bias_->shape())); in Eval() 127 getNumberOfElements(weights_feature_->shape())); in Eval() 130 std::vector<float> weightsTimeDataFloat32(getNumberOfElements(weights_time_->shape())); in Eval() 133 std::vector<float> outputDataFloat32(getNumberOfElements(output_->shape())); in Eval() 134 std::vector<float> outputStateDataFloat32(getNumberOfElements(state_out_->shape())); in Eval()
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D | LogSoftmax.cpp | 43 inline bool compute(const T* input, const Shape& shape, T beta, uint32_t axis, T* output) { in compute() argument 44 const uint32_t outerSize = getNumberOfElements(shape, 0, axis); in compute() 45 const uint32_t axisSize = getSizeOfDimension(shape, axis); in compute() 46 const uint32_t innerSize = getNumberOfElements(shape, axis + 1, getNumberOfDimensions(shape)); in compute()
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D | QuantizedLSTMTest.cpp | 33 std::vector<uint32_t> shape; member 37 OperandTypeParams(Type type, std::vector<uint32_t> shape, float scale, int32_t zeroPoint) in OperandTypeParams() 38 : type(type), shape(shape), scale(scale), zeroPoint(zeroPoint) {} in OperandTypeParams() 55 OperandType curType(curOTP.type, curOTP.shape, curOTP.scale, curOTP.zeroPoint); in QuantizedLSTMOpModel() 59 const uint32_t numBatches = inputOperandTypeParams[0].shape[0]; in QuantizedLSTMOpModel() 60 inputSize_ = inputOperandTypeParams[0].shape[0]; in QuantizedLSTMOpModel() 62 inputOperandTypeParams[QuantizedLSTMCell::kPrevCellStateTensor].shape[1]; in QuantizedLSTMOpModel() 187 for (int d : params.shape) { in initializeInputData()
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D | EmbeddingLookup.cpp | 41 const int row_size = value_->shape().dimensions[0]; in Eval() 45 for (uint32_t i = 0; i < lookup_->shape().dimensions[0]; i++) { in Eval()
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D | QuantizedLSTM.cpp | 213 const std::vector<uint32_t> submatrixDims = submatrix->shape().dimensions; in assignWeightsSubmatrix() 335 *cellStateOutShape = prevCellState->shape(); in prepare() 336 *outputShape = prevOutput->shape(); in prepare() 415 GetBuffer<const uint8_t>(input_), convertShapeToDims(input_->shape()), in eval() 416 GetBuffer<const uint8_t>(prevOutput_), convertShapeToDims(prevOutput_->shape()), in eval() 419 convertShapeToDims(prevCellState_->shape()), in eval() 421 GetBuffer<int16_t>(cellStateOut_), convertShapeToDims(cellStateOut_->shape()), in eval() 422 GetBuffer<uint8_t>(output_), convertShapeToDims(output_->shape()), concatTemp.data(), in eval()
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D | HashtableLookup.cpp | 51 const int num_rows = value_->shape().dimensions[0]; in Eval() 56 for (int i = 0; i < static_cast<int>(lookup_->shape().dimensions[0]); i++) { in Eval()
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D | LogicalNot.cpp | 37 bool compute(const bool8* input, const Shape& shape, bool8* output) { in compute() argument 38 const auto size = getNumberOfElements(shape); in compute()
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/frameworks/base/graphics/java/android/graphics/drawable/shapes/ |
D | RoundRectShape.java | 135 final RoundRectShape shape = (RoundRectShape) super.clone(); in clone() local 136 shape.mOuterRadii = mOuterRadii != null ? mOuterRadii.clone() : null; in clone() 137 shape.mInnerRadii = mInnerRadii != null ? mInnerRadii.clone() : null; in clone() 138 shape.mInset = new RectF(mInset); in clone() 139 shape.mInnerRect = new RectF(mInnerRect); in clone() 140 shape.mPath = new Path(mPath); in clone() 141 return shape; in clone()
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D | Shape.java | 129 Shape shape = (Shape) o; in equals() local 130 return Float.compare(shape.mWidth, mWidth) == 0 in equals() 131 && Float.compare(shape.mHeight, mHeight) == 0; in equals()
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D | RectShape.java | 64 final RectShape shape = (RectShape) super.clone(); in clone() local 65 shape.mRect = new RectF(mRect); in clone() 66 return shape; in clone()
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D | PathShape.java | 75 final PathShape shape = (PathShape) super.clone(); in clone() local 76 shape.mPath = new Path(mPath); in clone() 77 return shape; in clone()
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | sub_v1_2.mod.py | 37 shape = "{2, 4, 16, 2}, 0.5, 0" variable 38 input0 = Input("input0", "TENSOR_QUANT8_ASYMM", shape) 39 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", shape) 41 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", shape)
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/frameworks/ml/nn/tools/api/ |
D | types.spec | 330 * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying 359 * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying 383 * * 0: The output 4-D tensor, of shape 419 * * 0 ~ n-1: The list of n input tensors, of shape 441 * tensors. The output shape is [D0, D1, ..., sum(Daxis(i)), ..., Dm]. 1020 * * 1: A 2-D tensor, specifying the weights, of shape 1023 * * 2: A 1-D tensor, of shape [num_units], specifying the bias. For input 1039 * * 0: The output tensor, of shape [batch_size, num_units]. %{BeforeAPILevel29For} 1064 * For example, if Values has shape of [40, 200, 300], 1065 * Keys should have a shape of [40]. If Lookups tensor has shape [all …]
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/frameworks/ml/nn/runtime/test/specs/V1_3/ |
D | sub_quant8_signed.mod.py | 86 shape = "{2, 4, 16, 2}, 0.5, -128" variable 87 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", shape) 88 input1 = Input("input1", "TENSOR_QUANT8_ASYMM_SIGNED", shape) 90 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", shape)
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/frameworks/base/graphics/java/android/graphics/ |
D | PathDashPathEffect.java | 42 public PathDashPathEffect(Path shape, float advance, float phase, in PathDashPathEffect() argument 44 native_instance = nativeCreate(shape.readOnlyNI(), advance, phase, in PathDashPathEffect()
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/frameworks/base/core/java/android/widget/ |
D | SmartSelectSprite.java | 320 for (final RoundedRectangleShape shape : rectangles) { in generateOutlinePolygonPath() 322 rectanglePath.addRect(shape.mBoundingRectangle, Path.Direction.CW); in generateOutlinePolygonPath() 404 final RoundedRectangleShape shape = new RoundedRectangleShape( in startAnimation() local 409 cornerAnimators.add(createCornerAnimator(shape, updateListener)); in startAnimation() 410 shapes.add(shape); in startAnimation() 500 final RoundedRectangleShape shape, in createCornerAnimator() argument 503 shape, in createCornerAnimator() 505 shape.getRoundRatio(), 0.0F); in createCornerAnimator()
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/frameworks/base/core/jni/android/graphics/ |
D | PathEffect.cpp | 52 const SkPath* shape = reinterpret_cast<SkPath*>(shapeHandle); in OneD_constructor() local 53 SkASSERT(shape != NULL); in OneD_constructor() 54 SkPathEffect* effect = SkPath1DPathEffect::Make(*shape, advance, phase, in OneD_constructor()
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