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Searched refs:outputHeight (Results 1 – 8 of 8) sorted by relevance

/packages/apps/Camera2/src/com/android/camera/processing/imagebackend/
DTaskConvertImageToRGBPreview.java239 int outputHeight = inputHeight / subsample; in colorInscribedDataCircleFromYuvImage() local
241 int h = outputHeight; in colorInscribedDataCircleFromYuvImage()
552 int outputHeight = inputHeight / subsample; in colorSubSampleFromYuvImage() local
578 int r = inscribedCircleRadius(outputWidth, outputHeight); in colorSubSampleFromYuvImage()
582 if (outputWidth > outputHeight) { in colorSubSampleFromYuvImage()
587 inscribedYMax = outputHeight; in colorSubSampleFromYuvImage()
592 inscribedYMin = quantizeBy2(outputHeight / 2 - r); in colorSubSampleFromYuvImage()
593 inscribedYMax = quantizeBy2(outputHeight / 2 + r); in colorSubSampleFromYuvImage()
597 len = outputWidth * outputHeight; in colorSubSampleFromYuvImage()
601 inscribedYMax = quantizeBy2(outputHeight); in colorSubSampleFromYuvImage()
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/packages/modules/NeuralNetworks/common/cpu_operations/
DTransposeConv2D.cpp77 int32_t outputHeight = useNchw ? outputShapeData[2] : outputShapeData[1]; in initialize() local
80 calculateExplicitPaddingTransposeConv(outputHeight, strideHeight, filterHeight, in initialize()
112 uint32_t outputHeight = getSizeOfDimension(outputShape, 1); \
148 if (hOutput >= 0 && hOutput < static_cast<int32_t>(outputHeight) && in transposeConvNhwc()
163 outputBase += outputHeight * outputWidth * outputDepth; in transposeConvNhwc()
166 const uint32_t outerSize = numBatches * outputHeight * outputWidth; in transposeConvNhwc()
234 if (hOutput >= 0 && hOutput < static_cast<int32_t>(outputHeight) && in transposeConvNhwc()
254 outputBase += outputHeight * outputWidth * outputDepth; in transposeConvNhwc()
257 const uint32_t outerSize = numBatches * outputHeight * outputWidth; in transposeConvNhwc()
376 if (hOutput >= 0 && hOutput < static_cast<int32_t>(outputHeight) && in transposeConvQuant8PerChannelNhwc()
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DReshape.cpp123 const int outputHeight = extOutputShape.Dims(1); in padGeneric() local
133 outputData, padValue, leftBPadding * outputHeight * outputWidth * outputDepth); in padGeneric()
141 for (int outH = leftHPadding; outH < outputHeight - rightHPadding; ++outH) { in padGeneric()
177 outputData + tflite::Offset(extOutputShape, outB, outputHeight - rightHPadding, in padGeneric()
185 padValue, rightBPadding * outputHeight * outputWidth * outputDepth); in padGeneric()
DRoiPooling.cpp194 auto outputHeight = context->getInputValue<int32_t>(kOutputHeightScalar); in prepare() local
204 NN_RET_CHECK_GT(outputHeight, 0); in prepare()
216 output.dimensions = {numRois, inDepth, static_cast<uint32_t>(outputHeight), in prepare()
219 output.dimensions = {numRois, static_cast<uint32_t>(outputHeight), in prepare()
DGroupedConv2D.cpp45 uint32_t outputHeight = getSizeOfDimension(outputShape, 1); \
65 for (uint32_t h = 0; h < outputHeight; h++) { in groupedConvFloat32()
137 for (uint32_t h = 0; h < outputHeight; h++) { in groupedConvQuant8()
242 for (uint32_t h = 0; h < outputHeight; h++) { in groupedConvQuant8PerChannel()
DRoiAlign.cpp353 int32_t outputHeight = context->getInputValue<int32_t>(kOutputHeightScalar); in prepare() local
365 NN_RET_CHECK_GT(outputHeight, 0); in prepare()
381 output.dimensions = {numRois, inDepth, static_cast<uint32_t>(outputHeight), in prepare()
384 output.dimensions = {numRois, static_cast<uint32_t>(outputHeight), in prepare()
DConv2D.cpp366 uint32_t outputHeight = getSizeOfDimension(outputShape, 1); in convQuant8PerChannelNhwc() local
395 for (uint32_t h = 0; h < outputHeight; h++) { in convQuant8PerChannelNhwc()
459 [[maybe_unused]] uint32_t outputHeight = getSizeOfDimension(outputShape, 1); in convQuant8PerChannelNhwc() local
DDepthwiseConv2D.cpp292 uint32_t outputHeight = getSizeOfDimension(outputShape, 1); in depthwiseConvQuant8PerChannelNhwc() local
322 for (uint32_t h = 0; h < outputHeight; h++) { in depthwiseConvQuant8PerChannelNhwc()