/packages/modules/NeuralNetworks/common/cpu_operations/ |
D | GenerateProposals.cpp | 733 context->getInputValue<_Float16>(kScoreThresholdScalar), in execute() 734 context->getInputValue<int32_t>(kMaxNumDetectionScalar), in execute() 735 context->getInputValue<int32_t>(kNmsKernelScalar), in execute() 736 context->getInputValue<_Float16>(kIoUThresholdScalar), in execute() 737 context->getInputValue<_Float16>(kSigmaScalar), in execute() 738 context->getInputValue<_Float16>(kNmsScoreThresholdScalar), in execute() 755 context->getInputValue<float>(kScoreThresholdScalar), in execute() 756 context->getInputValue<int32_t>(kMaxNumDetectionScalar), in execute() 757 context->getInputValue<int32_t>(kNmsKernelScalar), in execute() 758 context->getInputValue<float>(kIoUThresholdScalar), in execute() [all …]
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D | RoiAlign.cpp | 333 bool useNchw = context->getInputValue<bool>(kLayoutScalar); in prepare() 353 int32_t outputHeight = context->getInputValue<int32_t>(kOutputHeightScalar); in prepare() 354 int32_t outputWidth = context->getInputValue<int32_t>(kOutputWidthScalar); in prepare() 355 int32_t heightSamplingRatio = context->getInputValue<int32_t>(kHeightSamplingRatioScalar); in prepare() 356 int32_t widthSamplingRatio = context->getInputValue<int32_t>(kWidthSamplingRatioScalar); in prepare() 359 heightScale = context->getInputValue<_Float16>(kHeightStrideSalar); in prepare() 360 widthScale = context->getInputValue<_Float16>(kWidthStrideScalar); in prepare() 362 heightScale = context->getInputValue<float>(kHeightStrideSalar); in prepare() 363 widthScale = context->getInputValue<float>(kWidthStrideScalar); in prepare() 401 context->getInputValue<_Float16>(kHeightStrideSalar), in execute() [all …]
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D | RoiPooling.cpp | 179 bool useNchw = context->getInputValue<bool>(kLayoutScalar); in prepare() 194 auto outputHeight = context->getInputValue<int32_t>(kOutputHeightScalar); in prepare() 195 auto outputWidth = context->getInputValue<int32_t>(kOutputWidthScalar); in prepare() 198 heightStride = context->getInputValue<_Float16>(kHeightStrideSalar); in prepare() 199 widthStride = context->getInputValue<_Float16>(kWidthStrideScalar); in prepare() 201 heightStride = context->getInputValue<float>(kHeightStrideSalar); in prepare() 202 widthStride = context->getInputValue<float>(kWidthStrideScalar); in prepare() 234 context->getInputValue<_Float16>(kHeightStrideSalar), in execute() 235 context->getInputValue<_Float16>(kWidthStrideScalar), in execute() 236 context->getInputValue<bool>(kLayoutScalar), in execute() [all …]
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D | Pooling.cpp | 59 padding_left = context->getInputValue<int32_t>(1); in initialize() 60 padding_right = context->getInputValue<int32_t>(2); in initialize() 61 padding_top = context->getInputValue<int32_t>(3); in initialize() 62 padding_bottom = context->getInputValue<int32_t>(4); in initialize() 63 stride_width = context->getInputValue<int32_t>(5); in initialize() 64 stride_height = context->getInputValue<int32_t>(6); in initialize() 65 filter_width = context->getInputValue<int32_t>(7); in initialize() 66 filter_height = context->getInputValue<int32_t>(8); in initialize() 67 activation = context->getInputValue<int32_t>(9); in initialize() 69 useNchw = context->getInputValue<bool>(10); in initialize() [all …]
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D | InstanceNormalization.cpp | 107 context->getInputValue<_Float16>(kGammaScalar), in execute() 108 context->getInputValue<_Float16>(kBetaScalar), in execute() 109 context->getInputValue<_Float16>(kEpsilonScalar), in execute() 110 context->getInputValue<bool>(kLayoutScalar), in execute() 116 context->getInputValue<float>(kGammaScalar), in execute() 117 context->getInputValue<float>(kBetaScalar), in execute() 118 context->getInputValue<float>(kEpsilonScalar), in execute() 119 context->getInputValue<bool>(kLayoutScalar), in execute()
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D | BatchMatmul.cpp | 214 const bool adjX = context->getInputValue<bool>(kInputLHSAdj); in prepare() 215 const bool adjY = context->getInputValue<bool>(kInputRHSAdj); in prepare() 236 context->getInputValue<bool>(kInputLHSAdj), in execute() 237 context->getInputValue<bool>(kInputRHSAdj), in execute() 245 context->getInputValue<bool>(kInputLHSAdj), in execute() 246 context->getInputValue<bool>(kInputRHSAdj), in execute() 254 context->getInputValue<bool>(kInputLHSAdj), in execute() 255 context->getInputValue<bool>(kInputRHSAdj), in execute() 263 context->getInputValue<bool>(kInputLHSAdj), in execute() 264 context->getInputValue<bool>(kInputRHSAdj), in execute()
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D | LocalResponseNormalization.cpp | 120 ? context->getInputValue<int32_t>(kAxisScalar) in executeTyped() 125 context->getInputValue<int32_t>(kRadiusScalar), context->getInputValue<T>(kBiasScalar), in executeTyped() 126 context->getInputValue<T>(kAlphaScalar), context->getInputValue<T>(kBetaScalar), axis, in executeTyped() 136 ? context->getInputValue<int32_t>(kAxisScalar) in prepare() 141 const int32_t radius = context->getInputValue<int32_t>(kRadiusScalar); in prepare()
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D | DepthwiseConv2D.cpp | 59 padding_implicit = context->getInputValue<int32_t>(3); in initialize() 60 stride_width = context->getInputValue<int32_t>(4); in initialize() 61 stride_height = context->getInputValue<int32_t>(5); in initialize() 62 depth_multiplier = context->getInputValue<int32_t>(6); in initialize() 63 activation = context->getInputValue<int32_t>(7); in initialize() 65 useNchw = context->getInputValue<bool>(8); in initialize() 68 dilation_width_factor = context->getInputValue<int32_t>(9); in initialize() 69 dilation_height_factor = context->getInputValue<int32_t>(10); in initialize() 73 padding_left = context->getInputValue<int32_t>(3); in initialize() 74 padding_right = context->getInputValue<int32_t>(4); in initialize() [all …]
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D | Broadcast.cpp | 460 context->getInputValue<int32_t>(kActivationScalar), in executeAdd() 468 context->getInputValue<int32_t>(kActivationScalar), in executeAdd() 476 context->getInputValue<int32_t>(kActivationScalar), in executeAdd() 484 context->getInputValue<int32_t>(kActivationScalar), in executeAdd() 492 context->getInputValue<int32_t>(kActivationScalar), in executeAdd() 510 context->getInputValue<int32_t>(kActivationScalar), in executeMul() 518 context->getInputValue<int32_t>(kActivationScalar), in executeMul() 526 context->getInputValue<int32_t>(kActivationScalar), in executeMul() 534 context->getInputValue<int32_t>(kActivationScalar), in executeMul() 542 context->getInputValue<int32_t>(kActivationScalar), in executeMul() [all …]
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D | StridedSlice.cpp | 90 context->getInputValue<int32_t>(kBeginMask), context->getInputValue<int32_t>(kEndMask), in executeTyped() 91 context->getInputValue<int32_t>(kShrinkAxisMask), in executeTyped() 123 const int32_t beginMask = context->getInputValue<int32_t>(kBeginMask); in prepare() 124 const int32_t endMask = context->getInputValue<int32_t>(kEndMask); in prepare() 125 const int32_t shrinkAxisMask = context->getInputValue<int32_t>(kShrinkAxisMask); in prepare()
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D | ChannelShuffle.cpp | 54 int32_t numGroups = context->getInputValue<int32_t>(kNumGroups); in prepare() 55 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in prepare() 63 int32_t numGroups = context->getInputValue<int32_t>(kNumGroups); in execute() 64 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in execute()
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D | ResizeImageOps.cpp | 162 scalarValue = context->getInputValue<bool>(scalarIndex); in getOptionalScalar() 191 height = context->getInputValue<int32_t>(kOutputHeightParamScalar); in prepare() 192 width = context->getInputValue<int32_t>(kOutputWidthParamScalar); in prepare() 195 context->getInputValue<float>(kOutputHeightParamScalar)); in prepare() 197 context->getInputValue<float>(kOutputWidthParamScalar)); in prepare() 201 static_cast<float>(context->getInputValue<_Float16>(kOutputHeightParamScalar))); in prepare() 204 static_cast<float>(context->getInputValue<_Float16>(kOutputWidthParamScalar))); in prepare()
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D | Softmax.cpp | 234 ? context->getInputValue<_Float16>(kBetaScalar) in prepare() 235 : context->getInputValue<float>(kBetaScalar); in prepare() 247 ? context->getInputValue<int32_t>(kAxisScalar) in execute() 253 context->getInputValue<_Float16>(kBetaScalar), axis, in execute() 259 context->getInputValue<float>(kBetaScalar), axis, in execute() 265 context->getInputValue<float>(kBetaScalar), axis, in execute() 271 context->getInputValue<float>(kBetaScalar), axis, in execute()
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D | Conv2D.cpp | 74 padding_implicit = context->getInputValue<int32_t>(3); in initialize() 75 stride_width = context->getInputValue<int32_t>(4); in initialize() 76 stride_height = context->getInputValue<int32_t>(5); in initialize() 77 activation = context->getInputValue<int32_t>(6); in initialize() 79 useNchw = context->getInputValue<bool>(7); in initialize() 82 dilation_width_factor = context->getInputValue<int32_t>(8); in initialize() 83 dilation_height_factor = context->getInputValue<int32_t>(9); in initialize() 87 padding_left = context->getInputValue<int32_t>(3); in initialize() 88 padding_right = context->getInputValue<int32_t>(4); in initialize() 89 padding_top = context->getInputValue<int32_t>(5); in initialize() [all …]
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D | TransposeConv2D.cpp | 65 paddingImplicit = context->getInputValue<int32_t>(4); in initialize() 66 strideWidth = context->getInputValue<int32_t>(5); in initialize() 67 strideHeight = context->getInputValue<int32_t>(6); in initialize() 68 activation = context->getInputValue<int32_t>(7); in initialize() 69 useNchw = context->getInputValue<bool>(8); in initialize() 83 paddingLeft = context->getInputValue<int32_t>(3); in initialize() 84 paddingRight = context->getInputValue<int32_t>(4); in initialize() 85 paddingTop = context->getInputValue<int32_t>(5); in initialize() 86 paddingBottom = context->getInputValue<int32_t>(6); in initialize() 87 strideWidth = context->getInputValue<int32_t>(7); in initialize() [all …]
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D | LogSoftmax.cpp | 70 int32_t axis = context->getInputValue<int32_t>(kInputAxis); in execute() 76 context->getInputValue<_Float16>(kInputBeta), axis, in execute() 81 context->getInputValue<float>(kInputBeta), axis, in execute()
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D | FullyConnected.cpp | 202 context->getInputValue<int32_t>(kActivationScalar), in execute() 212 context->getInputValue<int32_t>(kActivationScalar), in execute() 222 context->getInputValue<int32_t>(kActivationScalar), in execute() 232 context->getInputValue<int32_t>(kActivationScalar), in execute()
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D | Elu.cpp | 61 context->getInputValue<_Float16>(kAlphaScalar), in execute() 67 context->getInputValue<float>(kAlphaScalar), in execute()
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D | QLSTM.cpp | 281 const float cellClip = context->getInputValue<float>(kCellClip); in execute() 282 const float projectionClip = context->getInputValue<float>(kProjectionClip); in execute() 283 const float inputIntermediateScale = context->getInputValue<float>(kInputIntermediateScale); in execute() 284 const float forgetIntermediateScale = context->getInputValue<float>(kForgetIntermediateScale); in execute() 285 const float cellIntermediateScale = context->getInputValue<float>(kCellIntermediateScale); in execute() 286 const float outputIntermediateScale = context->getInputValue<float>(kOutputIntermediateScale); in execute() 287 const int8_t hiddenStateZeroPoint = context->getInputValue<int8_t>(kHiddenStateZeroPoint); in execute() 288 const float hiddenStateScale = context->getInputValue<float>(kHiddenStateScale); in execute()
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D | UnidirectionalSequenceRNN.cpp | 62 int32_t activation = context->getInputValue<int32_t>(kActivationParam); in executeTyped() 67 int32_t timeMajor = context->getInputValue<int32_t>(kTimeMajorParam); in executeTyped() 125 int32_t timeMajor = context->getInputValue<int32_t>(kTimeMajorParam); in prepare()
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D | Concatenation.cpp | 108 return concatenation(inputDatas, inputShapes, context->getInputValue<int32_t>(inputCount), in concatenation() 135 NN_RET_CHECK(concatenation(inputDatas, inputShapes, context->getInputValue<int32_t>(inputCount), in concatenation() 150 int32_t axis = context->getInputValue<int32_t>(numInputs - 1); in prepare()
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D | TopK_V2.cpp | 62 context->getInputValue<int32_t>(kTopKScalar), in executeTyped() 71 const int32_t k = context->getInputValue<int32_t>(kTopKScalar); in prepare()
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D | BidirectionalSequenceRNN.cpp | 129 const int32_t activation = context->getInputValue<int32_t>(kActivationParam); in executeTyped() 130 const bool timeMajor = context->getInputValue<bool>(kTimeMajorParam); in executeTyped() 131 const bool mergeOutputs = context->getInputValue<bool>(kMergeOutputsParam); in executeTyped() 289 const bool mergeOutputs = context->getInputValue<bool>(kMergeOutputsParam); in prepare() 325 bool timeMajor = context->getInputValue<bool>(kTimeMajorParam); in prepare()
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D | Pack.cpp | 56 const int32_t axisDimension = context->getInputValue<int32_t>(kInputAxisScalar); in prepare() 83 const int32_t axis = context->getInputValue<int32_t>(kInputAxisScalar); in packParams()
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/packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/ |
D | FibonacciDriver.cpp | 83 n = static_cast<int64_t>(context->getInputValue<float>(kInputN)); in prepare() 85 n = context->getInputValue<int64_t>(kInputN); in prepare() 119 n = static_cast<int64_t>(context->getInputValue<float>(kInputN)); in execute() 121 n = context->getInputValue<int64_t>(kInputN); in execute()
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