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Searched refs:filter_width (Results 1 – 11 of 11) sorted by relevance

/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DPooling.cpp49 int32_t filter_width, filter_height; member
63 filter_width = context->getInputValue<int32_t>(7); in initialize()
73 filter_width = context->getInputValue<int32_t>(4); in initialize()
84 calculateExplicitPadding(input_width, stride_width, filter_width, padding_implicit, in initialize()
95 NN_RET_CHECK_GT(filter_width, 0); in initialize()
98 NN_RET_CHECK_GT(filter_width, padding_left); in initialize()
99 NN_RET_CHECK_GT(filter_width, padding_right); in initialize()
114 .filter_width = filter_width, in toTfliteParam()
377 uint32_t outWidth = computeOutSize(width, param.filter_width, param.stride_width, in prepare()
H A DConv2D.cpp111 int32_t filter_width = getSizeOfDimension(filterShape, 2); in initialize() local
113 calculateExplicitPadding(input_width, stride_width, dilation_width_factor, filter_width, in initialize()
186 const int filter_width = getSizeOfDimension(filterShape, 2); in needim2colData() local
190 stride_width != 1 || stride_height != 1 || filter_width != 1 || filter_height != 1; in needim2colData()
H A DDepthwiseConv2D.cpp100 int32_t filter_width = getSizeOfDimension(filterShape, 2); in initialize() local
102 calculateExplicitPadding(input_width, stride_width, dilation_width_factor, filter_width, in initialize()
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
H A Dl2_pool_float_large.mod.py19 filter_width = Int32Scalar("filter_width", 2) variable
28 filter_width, filter_height,
/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
H A Dl2_pool_float_large_relaxed.mod.py19 filter_width = Int32Scalar("filter_width", 2) variable
28 filter_width, filter_height,
/aosp12/packages/modules/NeuralNetworks/driver/sample/
H A DSampleDriverFloatXNNPACK.cpp389 int32_t filter_width, int32_t filter_height) { in CheckPoolingParams() argument
397 if (filter_width <= 0) { 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()
1048 int32_t stride_width, stride_height, filter_width, filter_height, activation; in VisitMaxPool2DNode() local
1062 filter_width = getScalarData<int32_t>(operands[ins[7]]); in VisitMaxPool2DNode()
1071 filter_width = getScalarData<int32_t>(operands[ins[4]]); in VisitMaxPool2DNode()
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/aosp12/hardware/interfaces/neuralnetworks/1.0/
H A Dtypes.hal260 * [depth_out, filter_height, filter_width, depth_in], specifying the
288 * [depth_out, filter_height, filter_width, depth_in], specifying the
321 * filter tensor of shape [1, filter_height, filter_width, depth_out]
356 * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
385 * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
/aosp12/packages/modules/NeuralNetworks/common/
H A DCpuExecutor.cpp1513 int32_t filter_width = getSizeOfDimension(filterShape, 2); in executeOperation() local
1515 calculateExplicitPadding(input_width, stride_width, filter_width, padding_implicit, in executeOperation()
/aosp12/hardware/interfaces/neuralnetworks/1.2/
H A Dtypes.hal372 * [depth_out, filter_height, filter_width, depth_in], specifying the
421 * [depth_out, filter_height, filter_width, depth_in], specifying the
474 * filter tensor of shape [1, filter_height, filter_width, depth_out]
522 * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
571 * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
3126 * filter tensor of shape [depth_out, filter_height, filter_width, depth_group]
3180 * [depth_out, filter_height, filter_width, depth_group], specifying
3219 * [depth_out, filter_height, filter_width, depth_group], specifying
4382 * [depth_out, filter_height, filter_width, depth_in], specifying the
4419 * [depth_out, filter_height, filter_width, depth_in], specifying the
/aosp12/hardware/interfaces/neuralnetworks/1.3/
H A Dtypes.hal336 * [depth_out, filter_height, filter_width, depth_in], specifying the
386 * [depth_out, filter_height, filter_width, depth_in], specifying the
440 * filter tensor of shape [1, filter_height, filter_width, depth_out]
501 * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
551 * * 1: A 4-D tensor, of shape [1, filter_height, filter_width, depth_out],
3313 * filter tensor of shape [depth_out, filter_height, filter_width, depth_group]
3379 * [depth_out, filter_height, filter_width, depth_group], specifying
3419 * [depth_out, filter_height, filter_width, depth_group], specifying
4641 * [depth_out, filter_height, filter_width, depth_in], specifying the
4679 * [depth_out, filter_height, filter_width, depth_in], specifying the
/aosp12/packages/modules/NeuralNetworks/tools/api/
H A Dtypes.spec4228 * filter tensor of shape [depth_out, filter_height, filter_width, depth_group]
4298 * [depth_out, filter_height, filter_width, depth_group], specifying
4342 * [depth_out, filter_height, filter_width, depth_group], specifying
5733 * [depth_out, filter_height, filter_width, depth_in], specifying the
5778 * [depth_out, filter_height, filter_width, depth_in], specifying the