/frameworks/ml/nn/common/operations/ |
H A D | Concatenation.cpp | 27 float* outputData, const Shape& outputShape) { 39 outputData, convertShapeToDims(outputShape)); local 46 uint8_t* outputData, const Shape& outputShape) { 58 outputData, convertShapeToDims(outputShape)); local 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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H A D | Normalization.cpp | 26 float* outputData, const Shape& outputShape) { 29 outputData, convertShapeToDims(outputShape)); 35 uint8_t* outputData, const Shape& outputShape) { 39 outputData, convertShapeToDims(outputShape)); 46 float* outputData, const Shape& outputShape) { 50 outputData, convertShapeToDims(outputShape)); 25 l2normFloat32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 34 l2normQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData, const Shape& outputShape) argument 44 localResponseNormFloat32(const float* inputData, const Shape& inputShape, int32_t radius, float bias, float alpha, float beta, float* outputData, const Shape& outputShape) argument
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H A D | FullyConnected.cpp | 35 float* outputData, const Shape& outputShape) { 50 outputData, convertShapeToDims(outputShape)); 57 outputData, convertShapeToDims(outputShape)); 66 uint8_t* outputData, const Shape& outputShape) { 100 outputData, convertShapeToDims(outputShape), &gemm_context); 31 fullyConnectedFloat32(const float* inputData, const Shape& inputShape, const float* weightsData, const Shape& weightsShape, const float* biasData, const Shape& biasShape, int32_t activation, float* outputData, const Shape& outputShape) argument 62 fullyConnectedQuant8(const uint8_t* inputData, const Shape& inputShape, const uint8_t* weightsData, const Shape& weightsShape, const int32_t* biasData, const Shape& biasShape, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument
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H A D | Pooling.cpp | 39 float* outputData, const Shape& outputShape) { 52 outputData, convertShapeToDims(outputShape)); 62 uint8_t* outputData, const Shape& outputShape) { 78 outputData, convertShapeToDims(outputShape)); 88 float* outputData, const Shape& outputShape) { 101 outputData, convertShapeToDims(outputShape)); 111 float* outputData, const Shape& outputShape) { 124 outputData, convertShapeToDims(outputShape)); 134 uint8_t* outputData, const Shape& outputShape) { 150 outputData, convertShapeToDim 34 averagePoolFloat32(const float* inputData, const Shape& inputShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, int32_t activation, float* outputData, const Shape& outputShape) argument 57 averagePoolQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument 83 l2PoolFloat32(const float* inputData, const Shape& inputShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, int32_t activation, float* outputData, const Shape& outputShape) argument 106 maxPoolFloat32(const float* inputData, const Shape& inputShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, int32_t activation, float* outputData, const Shape& outputShape) argument 129 maxPoolQuant8(const uint8_t* inputData, const Shape& inputShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t filter_width, int32_t filter_height, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument [all...] |
H A D | StridedSlice.cpp | 33 uint8_t* outputData, const Shape& outputShape) { 78 reinterpret_cast<float*>(outputData), 86 reinterpret_cast<uint8_t*>(outputData), 29 stridedSliceGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* beginData, const int32_t* endData, const int32_t* stridesData, int32_t beginMask, int32_t endMask, int32_t shrinkAxisMask, uint8_t* outputData, const Shape& outputShape) argument
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H A D | Activation.cpp | 26 float* outputData, const Shape& outputShape) { 28 for (int i=0; i<numElements; i++, inputData++, outputData++) { 29 *outputData = std::max(0.f, *inputData); 35 float* outputData, const Shape& outputShape) { 37 for (int i=0; i<numElements; i++, inputData++, outputData++) { 38 *outputData = std::min(std::max(-1.f, *inputData), 1.f); 44 float* outputData, const Shape& outputShape) { 46 for (int i=0; i<numElements; i++, inputData++, outputData++) { 47 *outputData = std::min(std::max(0.f, *inputData), 6.f); 53 float* outputData, cons 25 reluFloat32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 34 relu1Float32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 43 relu6Float32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 52 tanhFloat32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 61 logisticFloat32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 70 softmaxFloat32(const float* inputData, const Shape& inputShape, const float beta, float* outputData, const Shape& outputShape) argument 108 reluQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData, const Shape& outputShape) argument 114 relu1Quant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData, const Shape& outputShape) argument 120 relu6Quant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData, const Shape& outputShape) argument 128 logisticQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData, const Shape& outputShape) argument 161 softmaxQuant8(const uint8_t* inputData, const Shape& inputShape, const float beta, uint8_t* outputData, const Shape& outputShape) argument [all...] |
H A D | Conv2D.cpp | 86 float* outputData, const Shape& outputShape) { 102 outputData, convertShapeToDims(outputShape), 114 uint8_t* outputData, const Shape& outputShape) { 152 outputData, convertShapeToDims(outputShape), 79 convFloat32(const float* inputData, const Shape& inputShape, const float* filterData, const Shape& filterShape, const float* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t activation, float* outputData, const Shape& outputShape) argument 107 convQuant8(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData, const Shape& filterShape, const int32_t* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument
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H A D | DepthwiseConv2D.cpp | 44 float* outputData, const Shape& outputShape) { 59 outputData, convertShapeToDims(outputShape)); 72 uint8_t* outputData, const Shape& outputShape) { 105 outputData, convertShapeToDims(outputShape)); 37 depthwiseConvFloat32(const float* inputData, const Shape& inputShape, const float* filterData, const Shape& filterShape, const float* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t depth_multiplier, int32_t activation, float* outputData, const Shape& outputShape) argument 65 depthwiseConvQuant8(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData, const Shape& filterShape, const int32_t* biasData, const Shape& biasShape, int32_t padding_left, int32_t padding_right, int32_t padding_top, int32_t padding_bottom, int32_t stride_width, int32_t stride_height, int32_t depth_multiplier, int32_t activation, uint8_t* outputData, const Shape& outputShape) argument
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H A D | Reshape.cpp | 31 void* outputData, const Shape& outputShape) { 33 memcpy(outputData, inputData, count); 38 float* outputData, const Shape& outputShape) { 50 outputData, convertShapeToDims(outputShape)); 56 uint8_t* outputData, const Shape& outputShape) { 62 reinterpret_cast<float*>(outputData), 69 reinterpret_cast<uint8_t*>(outputData), 80 uint8_t* outputData, const Shape& outputShape) { 86 reinterpret_cast<float*>(outputData), 93 reinterpret_cast<uint8_t*>(outputData), 30 reshapeGeneric(const void* inputData, const Shape& inputShape, void* outputData, const Shape& outputShape) argument 37 resizeBilinearFloat32(const float* inputData, const Shape& inputShape, float* outputData, const Shape& outputShape) argument 54 depthToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape, int32_t blockSize, uint8_t* outputData, const Shape& outputShape) argument 78 spaceToDepthGeneric(const uint8_t* inputData, const Shape& inputShape, int32_t blockSize, uint8_t* outputData, const Shape& outputShape) argument 102 padGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* paddings, uint8_t* outputData, const Shape& outputShape) argument 136 batchToSpaceGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* blockSize, uint8_t* outputData, const Shape& outputShape) argument 162 spaceToBatchGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* blockSize, const int32_t* padding, const Shape& paddingShape, uint8_t* outputData, const Shape& outputShape) argument 191 squeezeGeneric(const void* inputData, const Shape& inputShape, void* outputData, const Shape& outputShape) argument 198 transposeGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* perm, const Shape& permShape, uint8_t* outputData, const Shape& outputShape) argument [all...] |
H A D | SimpleMath.cpp | 212 float* outputData, 215 tflite::optimized_ops::Floor(inputData, dim, outputData, dim); 220 float* outputData, 225 outputData, dim); 281 uint8_t* outputData, const Shape& outputShape) { 295 reinterpret_cast<float*>(outputData), 304 outputData, local 211 floorFloat32(const float* inputData, float* outputData, const Shape& shape) argument 219 dequantizeQuant8ToFloat32(const uint8_t* inputData, float* outputData, const Shape& shape) argument 279 meanGeneric(const uint8_t* inputData, const Shape& inputShape, const int32_t* axis, const Shape& axisShape, bool keepDims, uint8_t* outputData, const Shape& outputShape) argument
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/frameworks/support/work/workmanager/src/main/java/androidx/work/ |
H A D | WorkStatus.java | 42 @NonNull Data outputData, 46 mOutputData = outputData; 39 WorkStatus( @onNull UUID id, @NonNull State state, @NonNull Data outputData, @NonNull List<String> tags) argument
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H A D | Worker.java | 192 * @param outputData An {@link Data} object that will be merged into the input Data of any 196 public final void setOutputData(@NonNull Data outputData) { argument 197 mOutputData = outputData;
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/frameworks/av/media/libstagefright/codecs/amrwbenc/ |
H A D | SoftAMRWBEncoder.cpp | 437 VO_CODECBUFFER outputData; local 438 memset(&outputData, 0, sizeof(outputData)); 442 outputData.Buffer = outPtr; 443 outputData.Length = outAvailable; 445 mEncoderHandle, &outputData, &outputInfo); 448 outHeader->nFilledLen = outputData.Length;
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/frameworks/ml/nn/runtime/test/ |
H A D | TestMemoryInternal.cpp | 150 uint8_t* outputData = (uint8_t*)mmap(nullptr, outputSize, local 152 ASSERT_NE(outputData, nullptr); 153 memset(outputData, 0, outputSize); 167 *reinterpret_cast<Matrix3x4*>(outputData + offsetForActual)), 0); 171 munmap(outputData, outputSize);
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/frameworks/av/media/libaaudio/examples/loopback/src/ |
H A D | loopback.cpp | 124 float *outputData = (float *) audioData; local 211 outputData,
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H A D | LoopbackAnalyzer.h | 347 float *outputData, int outputChannelCount, 505 void sendImpulses(float *outputData, int outputChannelCount, int numFrames) { argument 512 *outputData = sample; 513 outputData += outputChannelCount; 517 void sendOneImpulse(float *outputData, int outputChannelCount) { argument 519 sendImpulses(outputData, outputChannelCount, kImpulseSizeInFrames); 523 float *outputData, int outputChannelCount, 537 outputData[i] = 0; 547 sendImpulses(outputData, outputChannelCount, numFrames); 574 outputData[ [all...] |
/frameworks/base/tools/aapt/ |
H A D | Images.cpp | 1259 png_byte outputData[chunk_size]; local 1260 memcpy(&outputData, &imageInfo.outlineInsetsLeft, 4 * sizeof(png_uint_32)); 1261 ((float*) outputData)[4] = imageInfo.outlineRadius; 1262 ((png_uint_32*) outputData)[5] = imageInfo.outlineAlpha; 1263 memcpy(unknowns[o_index].data, &outputData, chunk_size);
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/frameworks/base/tools/aapt2/compile/ |
H A D | Png.cpp | 551 png_byte outputData[chunkSize]; local 552 memcpy(&outputData, &info->outlineInsetsLeft, 4 * sizeof(png_uint_32)); 553 ((float*)outputData)[4] = info->outlineRadius; 554 ((png_uint_32*)outputData)[5] = info->outlineAlpha; 555 memcpy(unknowns[oIndex].data, &outputData, chunkSize);
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