| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | TransposeConv2D.cpp | 72 int32_t filterHeight = getSizeOfDimension(filterShape, 1); in initialize() local
80 calculateExplicitPaddingTransposeConv(outputHeight, strideHeight, filterHeight, in initialize()
110 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
144 for (uint32_t i = 0; i < filterHeight; i++) { in transposeConvNhwc()
229 for (uint32_t i = 0; i < filterHeight; i++) { in transposeConvNhwc()
237 k * filterHeight * filterWidth * inputDepth + in transposeConvNhwc()
371 for (uint32_t i = 0; i < filterHeight; i++) { in transposeConvQuant8PerChannelNhwc()
379 k * filterHeight * filterWidth * inputDepth + in transposeConvQuant8PerChannelNhwc()
465 uint32_t filterHeight = getSizeOfDimension(filter, 1); in prepare() local
475 NN_RET_CHECK_GT(filterHeight, 0u); in prepare()
[all …]
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| D | GroupedConv2D.cpp | 42 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
75 for (uint32_t i = 0; i < filterHeight; i++) { in groupedConvFloat32()
95 filterBase += filterHeight * filterWidth * filterDepth; in groupedConvFloat32()
147 for (uint32_t i = 0; i < filterHeight; i++) { in groupedConvQuant8()
173 filterBase += filterHeight * filterWidth * filterDepth; in groupedConvQuant8()
252 for (uint32_t i = 0; i < filterHeight; i++) { in groupedConvQuant8PerChannel()
278 filterBase += filterHeight * filterWidth * filterDepth; in groupedConvQuant8PerChannel()
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| D | Conv2D.cpp | 133 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
146 im2colDim.sizes[0] = (int)inDepth * filterHeight * filterWidth; \
363 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); in convQuant8PerChannelNhwc() local
404 for (uint32_t i = 0; i < filterHeight; i++) { in convQuant8PerChannelNhwc()
431 filterBase += filterHeight * filterWidth * filterDepth; in convQuant8PerChannelNhwc()
456 [[maybe_unused]] uint32_t filterHeight = getSizeOfDimension(filterShape, 1); in convQuant8PerChannelNhwc() local
559 uint32_t filterHeight = getSizeOfDimension(filter, 1); in prepare() local
570 int32_t effectiveFilterHeight = (filterHeight - 1) * param.dilation_height_factor + 1; in prepare()
580 computeOutSize(height, filterHeight, param.stride_height, param.dilation_height_factor, in prepare()
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| D | DepthwiseConv2D.cpp | 121 [[maybe_unused]] uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \
289 uint32_t filterHeight = getSizeOfDimension(filterShape, 1); in depthwiseConvQuant8PerChannelNhwc() local
331 for (uint32_t i = 0; i < filterHeight; i++) { in depthwiseConvQuant8PerChannelNhwc()
447 uint32_t filterHeight = getSizeOfDimension(filter, 1); in prepare() local
452 int32_t effectiveFilterHeight = (filterHeight - 1) * param.dilation_height_factor + 1; in prepare()
459 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 | OperationsExecutionUtils.cpp | 645 uint32_t filterHeight = getSizeOfDimension(filter, 1); in groupedConvPrepare() local
650 NN_RET_CHECK_GT(static_cast<int32_t>(filterHeight), padding_top); in groupedConvPrepare()
651 NN_RET_CHECK_GT(static_cast<int32_t>(filterHeight), padding_bottom); in groupedConvPrepare()
656 computeOutSize(height, filterHeight, stride_height, padding_top, padding_bottom); in groupedConvPrepare()
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| /packages/modules/NeuralNetworks/common/include/ |
| D | OperationsExecutionUtils.h | 165 int32_t filterHeight, int32_t paddingLeft, in getPaddingScheme() argument
177 calculateExplicitPadding(inHeight, strideHeight, filterHeight, kPaddingSame, in getPaddingScheme()
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| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestValidateOperations.cpp | 1884 ANeuralNetworksOperandType filterHeight = scalar; in poolingOpTest() local
1889 strideHeight, filterWidth, filterHeight, activation}, in poolingOpTest()
1896 {input, padImplicit, strideWidth, strideHeight, filterWidth, filterHeight, activation}, in poolingOpTest()
1909 filterHeight, activation, layout}, in poolingOpTest()
1915 filterWidth, filterHeight, activation, layout}, in poolingOpTest()
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