ONE - On-device Neural Engine
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Here is a list of all namespace functions with links to the namespace documentation for each function:
- p -
Pack() :
nnfw::cker
,
tflite::reference_ops
PackedType() :
flexbuffers
PackWithScaling() :
tflite::reference_ops
Pad() :
luci_interpreter_pal
,
mir_interpreter
,
nnfw::cker
,
onert_micro::execute::pal
pad_shape() :
luci::sinf
PadKernelMaxDimensionCount() :
luci_interpreter_pal
parse() :
nnkit::support::tftestinfo
parse_cfg() :
utils
parse_graphdef() :
plier::tf
parse_line() :
nnkit::support::tftestinfo
parse_nodedef() :
plier::tf
part_eval() :
test_circle_part_value
pass_name() :
logo
piv() :
flatbuffers
placeholder_node() :
moco
planTensors() :
onert::backend::basic
polymorphic_downcast() :
nnfw::misc
pool2D_padding() :
tflimport
PopulateSoftmaxLookupTable() :
nnfw::cker
PortableApplyActivationToVector() :
nnfw::cker
PortableAsymmetricQuantizeFloats() :
nnfw::cker
PortableCwiseClipping() :
nnfw::cker
PortableIsZeroVector() :
nnfw::cker
,
nnfw::ruy
PortableMatrixBatchVectorMultiplyAccumulate() :
nnfw::cker
PortableMeanStddevNormalization() :
nnfw::cker
PortableSub1Vector() :
nnfw::cker
PortableSymmetricQuantizeFloats() :
nnfw::cker
PortableVectorBatchVectorAdd() :
nnfw::cker
PortableVectorBatchVectorAssign() :
nnfw::cker
PortableZeroVector() :
nnfw::cker
PosixPath() :
flatbuffers
postorder_traversal() :
loco
Pow() :
tflite::reference_ops
powImpl() :
nnfw::cker
preds() :
loco
prepare_materials() :
conftest
prepareModelData() :
luci
pretty_float() :
Util
print_version_and_exit() :
utils
printBool() :
onert::exec
printString() :
onert::exec
ProcessBroadcastShapes() :
luci_interpreter_pal
,
nnfw::cker
processBroadcastShapes() :
onert_micro::execute::pal
produce_pgroups() :
luci
produce_pmodules() :
luci
producer() :
coco
propagate_concat_quantparam() :
luci
propagate_pad_v2_quantparam() :
luci
pull_node() :
loco
push_node() :
loco
,
moco
pySafeCall() :
dalgona
pytest_addoption() :
conftest
pytest_generate_tests() :
conftest
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