| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Pooling.cpp | 51 int32_t filter_width, filter_height; member
65 filter_width = context->getInputValue<int32_t>(7); in initialize()
75 filter_width = context->getInputValue<int32_t>(4); in initialize()
86 calculateExplicitPadding(input_width, stride_width, filter_width, padding_implicit, in initialize()
97 NN_RET_CHECK_GT(filter_width, 0); in initialize()
100 NN_RET_CHECK_GT(filter_width, padding_left); in initialize()
101 NN_RET_CHECK_GT(filter_width, padding_right); in initialize()
116 .filter_width = filter_width, in toTfliteParam()
313 uint32_t outWidth = computeOutSize(width, param.filter_width, param.stride_width, in prepare()
|
| D | Conv2D.cpp | 109 int32_t filter_width = getSizeOfDimension(filterShape, 2); in initialize() local
111 calculateExplicitPadding(input_width, stride_width, dilation_width_factor, filter_width, in initialize()
183 const int filter_width = getSizeOfDimension(filterShape, 2); in needim2colData() local
187 stride_width != 1 || stride_height != 1 || filter_width != 1 || filter_height != 1; in needim2colData()
|
| D | DepthwiseConv2D.cpp | 96 int32_t filter_width = getSizeOfDimension(filterShape, 2); in initialize() local
98 calculateExplicitPadding(input_width, stride_width, dilation_width_factor, filter_width, in initialize()
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | l2_pool_float_large.mod.py | 19 filter_width = Int32Scalar("filter_width", 2) variable
28 filter_width, filter_height,
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | l2_pool_float_large_relaxed.mod.py | 19 filter_width = Int32Scalar("filter_width", 2) variable
28 filter_width, filter_height,
|
| /packages/modules/NeuralNetworks/driver/sample_hidl/ |
| D | SampleDriverFloatXNNPACK.cpp | 389 int32_t filter_width, int32_t filter_height) { in CheckPoolingParams() argument
397 if (filter_width <= 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
649 filter_width = getScalarData<int32_t>(operands[ins[7]]); in VisitAveragePool2DNode()
658 filter_width = getScalarData<int32_t>(operands[ins[4]]); in VisitAveragePool2DNode()
663 CheckPoolingParams(stride_width, stride_height, filter_width, filter_height)); in VisitAveragePool2DNode()
672 if (filter_width == 1 && filter_height == 1) { in VisitAveragePool2DNode()
680 static_cast<uint32_t>(filter_width), static_cast<uint32_t>(stride_height), in VisitAveragePool2DNode()
1048 int32_t stride_width, stride_height, filter_width, filter_height, activation; in VisitMaxPool2DNode() local
[all …]
|
| /packages/modules/NeuralNetworks/common/ |
| D | CpuExecutor.cpp | 1514 int32_t filter_width = getSizeOfDimension(filterShape, 2); in executeOperation() local
1516 calculateExplicitPadding(input_width, stride_width, filter_width, padding_implicit, in executeOperation()
|
| /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
|