| /packages/modules/NeuralNetworks/common/operations/ |
| D | TransposeConv2D.cpp | 77 int32_t filterHeight = getSizeOfDimension(filterShape, 1); in initialize() local
85 calculateExplicitPaddingTransposeConv(outputHeight, strideHeight, filterHeight, in initialize()
116 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
148 for (uint32_t i = 0; i < filterHeight; i++) { in transposeConvNhwc()
233 for (uint32_t i = 0; i < filterHeight; i++) { in transposeConvNhwc()
241 k * filterHeight * filterWidth * inputDepth + in transposeConvNhwc()
375 for (uint32_t i = 0; i < filterHeight; i++) { in transposeConvQuant8PerChannelNhwc()
383 k * filterHeight * filterWidth * inputDepth + in transposeConvQuant8PerChannelNhwc()
517 uint32_t filterHeight = getSizeOfDimension(filter, 1); in prepare() local
527 NN_RET_CHECK_GT(filterHeight, 0); in prepare()
[all …]
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| D | GroupedConv2D.cpp | 38 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
71 for (uint32_t i = 0; i < filterHeight; i++) { in groupedConvFloat32()
91 filterBase += filterHeight * filterWidth * filterDepth; in groupedConvFloat32()
143 for (uint32_t i = 0; i < filterHeight; i++) { in groupedConvQuant8()
169 filterBase += filterHeight * filterWidth * filterDepth; in groupedConvQuant8()
247 for (uint32_t i = 0; i < filterHeight; i++) { in groupedConvQuant8PerChannel()
273 filterBase += filterHeight * filterWidth * filterDepth; in groupedConvQuant8PerChannel()
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| D | Conv2D.cpp | 136 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
149 im2colDim.sizes[0] = (int)inDepth * filterHeight * filterWidth; \
366 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); in convQuant8PerChannelNhwc() local
407 for (uint32_t i = 0; i < filterHeight; i++) { in convQuant8PerChannelNhwc()
434 filterBase += filterHeight * filterWidth * filterDepth; in convQuant8PerChannelNhwc()
459 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); in convQuant8PerChannelNhwc() local
665 uint32_t filterHeight = getSizeOfDimension(filter, 1); in prepare() local
676 int32_t effectiveFilterHeight = (filterHeight - 1) * param.dilation_height_factor + 1; in prepare()
686 computeOutSize(height, filterHeight, param.stride_height, param.dilation_height_factor, in prepare()
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| D | DepthwiseConv2D.cpp | 125 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
293 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); in depthwiseConvQuant8PerChannelNhwc() local
335 for (uint32_t i = 0; i < filterHeight; i++) { in depthwiseConvQuant8PerChannelNhwc()
550 uint32_t filterHeight = getSizeOfDimension(filter, 1); in prepare() local
555 int32_t effectiveFilterHeight = (filterHeight - 1) * param.dilation_height_factor + 1; in prepare()
562 computeOutSize(height, filterHeight, param.stride_height, param.dilation_height_factor, in prepare()
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| /packages/modules/NeuralNetworks/runtime/test/fuzzing/operation_signatures/ |
| D | Poolings.cpp | 35 auto filterHeight = op->inputs[8]->value<RandomVariable>(); in poolingExplicitOpConstructor() local
54 explicitPadding(op->inputs[0]->dimensions[heightIndex], filterHeight, strideHeight, in poolingExplicitOpConstructor()
74 auto filterHeight = op->inputs[5]->value<RandomVariable>(); in poolingImplicitOpConstructor() local
93 implicitPadding(op->inputs[0]->dimensions[heightIndex], filterHeight, strideHeight, in poolingImplicitOpConstructor()
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| /packages/modules/NeuralNetworks/common/ |
| D | OperationsUtils.cpp | 736 uint32_t filterHeight = getSizeOfDimension(filter, 1); in groupedConvPrepare() local
741 NN_RET_CHECK_GT(static_cast<int32_t>(filterHeight), padding_top); in groupedConvPrepare()
742 NN_RET_CHECK_GT(static_cast<int32_t>(filterHeight), padding_bottom); in groupedConvPrepare()
747 computeOutSize(height, filterHeight, stride_height, padding_top, padding_bottom); in groupedConvPrepare()
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| /packages/modules/NeuralNetworks/common/include/ |
| D | OperationsUtils.h | 223 int32_t filterHeight, int32_t paddingLeft, in getPaddingScheme() argument
235 calculateExplicitPadding(inHeight, strideHeight, filterHeight, kPaddingSame, in getPaddingScheme()
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| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestValidateOperations.cpp | 1845 ANeuralNetworksOperandType filterHeight = scalar; in poolingOpTest() local
1850 strideHeight, filterWidth, filterHeight, activation}, in poolingOpTest()
1857 {input, padImplicit, strideWidth, strideHeight, filterWidth, filterHeight, activation}, in poolingOpTest()
1870 filterHeight, activation, layout}, in poolingOpTest()
1876 filterWidth, filterHeight, activation, layout}, in poolingOpTest()
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