| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Pooling.cpp | 51 int32_t filter_width, filter_height; member
66 filter_height = context->getInputValue<int32_t>(8); in initialize()
76 filter_height = context->getInputValue<int32_t>(5); in initialize()
88 calculateExplicitPadding(input_height, stride_height, filter_height, padding_implicit, in initialize()
98 NN_RET_CHECK_GT(filter_height, 0); in initialize()
102 NN_RET_CHECK_GT(filter_height, padding_top); in initialize()
103 NN_RET_CHECK_GT(filter_height, padding_bottom); in initialize()
115 .filter_height = filter_height, in toTfliteParam()
315 uint32_t outHeight = computeOutSize(height, param.filter_height, param.stride_height, in prepare()
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| D | Conv2D.cpp | 110 int32_t filter_height = getSizeOfDimension(filterShape, 1); in initialize() local
114 filter_height, padding_implicit, &padding_top, in initialize()
184 const int filter_height = getSizeOfDimension(filterShape, 1); in needim2colData() local
187 stride_width != 1 || stride_height != 1 || filter_width != 1 || filter_height != 1; in needim2colData()
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| D | DepthwiseConv2D.cpp | 97 int32_t filter_height = getSizeOfDimension(filterShape, 1); in initialize() local
101 filter_height, padding_implicit, &padding_top, in initialize()
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | l2_pool_float_large.mod.py | 20 filter_height = Int32Scalar("filter_height", 2) variable
28 filter_width, filter_height,
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | l2_pool_float_large_relaxed.mod.py | 20 filter_height = Int32Scalar("filter_height", 2) variable
28 filter_width, filter_height,
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| /packages/modules/NeuralNetworks/driver/sample_hidl/ |
| D | SampleDriverFloatXNNPACK.cpp | 389 int32_t filter_width, int32_t filter_height) { in CheckPoolingParams() argument
400 if (filter_height <= 0) { in CheckPoolingParams()
403 if (filter_width == 1 && filter_height == 1 && std::max(stride_width, stride_height) > 1) { in CheckPoolingParams()
635 int32_t stride_width, stride_height, filter_width, filter_height, activation; in VisitAveragePool2DNode() local
650 filter_height = getScalarData<int32_t>(operands[ins[8]]); in VisitAveragePool2DNode()
659 filter_height = getScalarData<int32_t>(operands[ins[5]]); in VisitAveragePool2DNode()
663 CheckPoolingParams(stride_width, stride_height, filter_width, filter_height)); in VisitAveragePool2DNode()
672 if (filter_width == 1 && filter_height == 1) { in VisitAveragePool2DNode()
679 input_padding_left, static_cast<uint32_t>(filter_height), in VisitAveragePool2DNode()
1048 int32_t stride_width, stride_height, filter_width, filter_height, activation; in VisitMaxPool2DNode() local
[all …]
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| /packages/modules/NeuralNetworks/common/ |
| D | CpuExecutor.cpp | 1515 int32_t filter_height = getSizeOfDimension(filterShape, 1); in executeOperation() local
1518 calculateExplicitPadding(input_height, stride_height, filter_height, in executeOperation()
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| /packages/modules/NeuralNetworks/tools/api/ |
| D | types.spec | 4285 * filter tensor of shape [depth_out, filter_height, filter_width, depth_group]
4355 * [depth_out, filter_height, filter_width, depth_group], specifying
4399 * [depth_out, filter_height, filter_width, depth_group], specifying
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