| /packages/modules/NeuralNetworks/common/operations/ |
| D | Pooling.cpp | 261 NN_RET_CHECK(averagePoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param, in averagePool()
262 output.getNhwcBuffer(), output.getNhwcShape())); in averagePool()
274 NN_RET_CHECK(l2PoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param, in l2Pool()
275 output.getNhwcBuffer(), output.getNhwcShape())); in l2Pool()
287 NN_RET_CHECK(maxPoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param, in maxPool()
288 output.getNhwcBuffer(), output.getNhwcShape())); in maxPool()
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| D | InstanceNormalization.cpp | 98 NN_RET_CHECK(instanceNormNhwc(input.getNhwcBuffer(), input.getNhwcShape(), gamma, beta, epsilon, in instanceNorm()
99 output.getNhwcBuffer(), output.getNhwcShape())); in instanceNorm()
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| D | RoiAlign.cpp | 329 input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, batchSplitData, in roiAlign()
331 output.getNhwcBuffer(), output.getNhwcShape())); in roiAlign()
333 NN_RET_CHECK(roiAlignNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, in roiAlign()
335 heightSamplingRatio, widthSamplingRatio, output.getNhwcBuffer(), in roiAlign()
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| D | TransposeConv2D.cpp | 309 NN_RET_CHECK(transposeConvNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, in transposeConv()
310 filterShape, biasData, biasShape, param, output.getNhwcBuffer(), in transposeConv()
430 input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, in transposeConvQuant8PerChannel()
431 biasData, biasShape, param, output.getNhwcBuffer(), output.getNhwcShape())); in transposeConvQuant8PerChannel()
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| D | DepthwiseConv2D.cpp | 384 NN_RET_CHECK(depthwiseConvNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, in depthwiseConv()
388 activation, output.getNhwcBuffer(), output.getNhwcShape())); in depthwiseConv()
408 input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, in depthwiseConvQuant8PerChannel()
411 output.getNhwcBuffer(), output.getNhwcShape())); in depthwiseConvQuant8PerChannel()
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| D | Conv2D.cpp | 343 NN_RET_CHECK(convNhwc(input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, in conv()
346 dilation_height_factor, activation, output.getNhwcBuffer(), in conv()
521 input.getNhwcBuffer(), input.getNhwcShape(), filterData, filterShape, filterScales, in convQuant8PerChannel()
524 output.getNhwcBuffer(), output.getNhwcShape())); in convQuant8PerChannel()
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| D | ResizeImageOps.cpp | 159 NN_RET_CHECK(resizeImageOpNhwc(opType, input.getNhwcBuffer(), input.getNhwcShape(), in resizeImageOp()
160 alignCorners, halfPixelCenters, output.getNhwcBuffer(), in resizeImageOp()
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| D | RoiPooling.cpp | 152 NN_RET_CHECK(roiPoolingNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape, in roiPooling()
154 output.getNhwcBuffer(), output.getNhwcShape())); in roiPooling()
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| D | GenerateProposals.cpp | 1074 score_nhwc.getNhwcBuffer(), score_nhwc.getNhwcShape(), delta_nhwc.getNhwcBuffer(), in generateProposalsFloat32Compute()
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| /packages/modules/NeuralNetworks/common/include/ |
| D | CpuOperationUtils.h | 171 const T* getNhwcBuffer() { return mUseNchw ? mDataNhwc.data() : mDataOriginal; } in getNhwcBuffer() function
198 T* getNhwcBuffer() { return mUseNchw ? mDataNhwc.data() : mDataOriginal; } in getNhwcBuffer() function
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