Index

Symbols

&() (in module SimpleDomain) *() (in module DynamicTensor) (in module NDArray) (in module StaticTensor) +() (in module DynamicTensor) (in module NDArray) (in module SimpleDomain) (in module StaticTensor) -() (in module DynamicTensor) (in module NDArray) (in module SimpleDomain) (in module StaticTensor)

/() (in module NDArray) (in module StaticTensor) :() (in module DynamicTensor), [1] (in module NDArray), [1], [2], [3] (in module StaticTensor) (Network.moduleAttributes method) (SimpleDomain.rect method), [1], [2] =() (in module NDArray), [1] (in module SimpleDomain)

_

_dom() (NDArray.ndarray method) (StaticTensor.staticTensor method) _domain (LoadNumpy.ArrClass attribute) (NDArray.ndarray attribute)

_relu() (Autograd.reluOp method) _RemoteVarContainer (class in Remote) _setArrayData() (StaticTensor.staticTensor method) _tensor_resource (class in NDArray)

A

add() (Network.moduleChildren method) addModule() (Network.Module method), [1], [2] addOp (record in Autograd) addParameter() (Network.Module method) arange() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method), [1] (StaticTensor.staticTensor method), [1] arg (Autograd.padOp attribute) (Autograd.shrinkOp attribute) argmax() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method) argsort() (in module Utilities) array() (Autograd.BaseTensorResource method) (DynamicTensor.dynamicTensor method) ArrClass (class in LoadNumpy) atIndex() (SimpleDomain.rect method), [1]

attributes (Network.moduleAttributes attribute) (Network.ModuleSpecification attribute) attributes() (Network.Conv2D method) (Network.Dropout method) (Network.Flatten method) (Network.Linear method) (Network.MaxPool method) (Network.Module method) (Network.Parameter method) (Network.ReLU method) (Network.Sequential method) (Network.Softmax method) Autograd (module) averageTime (in module MultiLocaleInference) axes (Autograd.maxOp attribute) (Autograd.sumOp attribute)

B

backward() (Autograd.addOp method) (Autograd.BaseTensorResource method), [1] (Autograd.conv2DOp method) (Autograd.expandOp method) (Autograd.layerSliceOp method) (Autograd.maxOp method) (Autograd.multOp method) (Autograd.padOp method) (Autograd.permuteOp method) (Autograd.reshapeOp method) (Autograd.shrinkOp method) (Autograd.sliceOp method) (Autograd.sumOp method)

base (Autograd.layerSliceOp attribute) BaseTensorResource (class in Autograd) baseValue (record in Autograd) batchify() (NDArray.ndarray iterator) bias (Network.Conv2D attribute) (Network.Linear attribute)

C

cartesian() (in module Utilities), [1] ChAI (module) chain() (in module Network) checkRank() (DynamicTensor.dynamicTensor method) (in module Autograd) childDict (Network.moduleChildren attribute) children() (Autograd.addOp method) (Autograd.baseValue method) (Autograd.conv2DOp method) (Autograd.divOp method) (Autograd.expandOp method) (Autograd.expOp method) (Autograd.layerSliceOp method) (Autograd.maxOp method) (Autograd.multOp method) (Autograd.padOp method) (Autograd.permuteOp method) (Autograd.reluOp method) (Autograd.reshapeOp method) (Autograd.shrinkOp method) (Autograd.sliceOp method) (Autograd.subOp method) (Autograd.sumOp method) (Autograd.TensorEssence iterator) (Autograd.TensorResource iterator)

chpl__buildRemoteWrapper() (in module Remote), [1], [2] CNN (class in MNISTNet) cnn (in module MNISTNet) cnn2 (in module MNISTNet) computeAtIndex() (in module SimpleDomain), [1] computeBlocks() (in module SimpleDomain) computeSize() (in module SimpleDomain) computeStrides() (in module SimpleDomain) containedValue (Remote._RemoteVarContainer attribute) contains() (SimpleDomain.rect method), [1] contract() (NDArray.ndarray method) conv (in module ConvLayerTest) conv1 (MNISTNet.CNN attribute) conv2 (MNISTNet.CNN attribute) Conv2D (class in Network) conv2DOp (record in Autograd) ConvLayerTest (module) convolve() (DynamicTensor.dynamicTensor method), [1] (NDArray.ndarray method), [1] (StaticTensor.staticTensor method), [1] coords() (SimpleDomain.rect method) copy() (Remote.Remote method) copyContainer() (Remote.Remote method) copyTo() (Remote.Remote method) countOccurrences() (Standard.string method)

D

data (LoadNumpy.ArrClass attribute) (NDArray._tensor_resource attribute) (NDArray.ndarray attribute) (Network.Parameter attribute) data() (DynamicTensor.dynamicTensor method) dataResource (Autograd.BaseTensorResource attribute) debugPrint (in module Utilities) debugWrite() (in module Utilities) defaultDetachedMode (in module DynamicTensor) defaultDevice() (Remote.Remote method) detach (in module ModuleSpec) (in module MultiLocaleInference) detach() (Autograd.BaseTensorResource method) (Autograd.TensorResource method) (DynamicTensor.dynamicTensor method) (StaticTensor.staticTensor method) detachMode() (DynamicTensor.dynamicTensor method), [1] device() (Autograd.BaseTensorResource method) (DynamicTensor.dynamicTensor method) (Remote.Remote method)

diag (in module MNISTNet) (in module StaticTensor) dict (record in OrderedDict) dilate() (NDArray.ndarray method), [1] (StaticTensor.staticTensor method) dims() (SimpleDomain.rect method) divOp (record in Autograd) dom (Autograd.sliceOp attribute) domainFromShape() (in module Utilities) domainType (in module NDArray) drop() (in module NDArray) (Standard.string method) Dropout (class in Network) dropout1 (MNISTNet.CNN attribute) dropout2 (MNISTNet.CNN attribute) dtype (in module MNISTNet) (in module MultiLocaleInference) DynamicTensor (module) dynamicTensor (record in DynamicTensor)

E

each() (Standard._domain iterator) (Standard._tuple iterator) eachOrder() (SimpleDomain.rect iterator), [1] einsum() (NDArray.ndarray method) eltType (Autograd.addOp attribute) (Autograd.conv2DOp attribute) (Autograd.expandOp attribute) (Autograd.layerSliceOp attribute) (Autograd.maxOp attribute) (Autograd.multOp attribute) (Autograd.padOp attribute) (Autograd.permuteOp attribute) (Autograd.reshapeOp attribute) (Autograd.shrinkOp attribute) (Autograd.sliceOp attribute) (Autograd.sumOp attribute) (Autograd.TensorEssence attribute) (DynamicTensor.dynamicTensor attribute) (NDArray._tensor_resource attribute) (NDArray.ndarray attribute) (Network.Module attribute) (Network.moduleChildren attribute) (Remote.Remote attribute) (StaticTensor.staticTensor attribute)

eltType() (SimpleDomain.tuple method) (Standard._tuple method) emptyDomain() (in module Utilities) eraseRank() (DynamicTensor.staticTensor method) err() (in module Utilities) every() (Standard._domain iterator), [1], [2], [3] everyZip() (Standard._domain iterator), [1] exp() (DynamicTensor.dynamicTensor method) (StaticTensor.staticTensor method) expand() (NDArray.ndarray method) (StaticTensor.staticTensor method) expandedShape (Autograd.expandOp attribute) expandOp (record in Autograd) expOp (record in Autograd)

F

f32 (in module Types) f64 (in module Types) fastEach() (in module Utilities) fastNormalDims() (Standard._domain method) fastShape() (Standard._domain method) fc1 (MNISTNet.CNN attribute) fc2 (MNISTNet.CNN attribute) features (Autograd.conv2DOp attribute) first() (SimpleDomain.tuple method) flatIter() (in module Utilities), [1] Flatten (class in Network) flatten (MNISTNet.CNN attribute) flatten() (DynamicTensor.dynamicTensor method) forceRank() (DynamicTensor.dynamicTensor method) (in module Autograd) forceRankMeta() (DynamicTensor.dynamicTensor method) ForgetfulTensor (class in Autograd) forward() (Autograd.addOp method) (Autograd.BaseTensorResource method) (Autograd.baseValue method) (Autograd.conv2DOp method) (Autograd.divOp method) (Autograd.expandOp method) (Autograd.expOp method) (Autograd.layerSliceOp method) (Autograd.maxOp method) (Autograd.multOp method) (Autograd.padOp method) (Autograd.permuteOp method) (Autograd.reluOp method) (Autograd.reshapeOp method) (Autograd.shrinkOp method) (Autograd.sliceOp method) (Autograd.subOp method) (Autograd.sumOp method) (Autograd.TensorResource method) (MNISTNet.CNN method) (Network.Conv2D method) (Network.Dropout method) (Network.Flatten method) (Network.Linear method) (Network.MaxPool method) (Network.Module method) (Network.Net method) (Network.ReLU method) (Network.Sequential method) (Network.Softmax method)

fromRanges() (NDArray.ndarray method) fromShape() (StaticTensor.staticTensor method) fullOuter() (NDArray.ndarray method)

G

get() (Remote.Remote method) getFirstIdx() (in module NDArray) getInt() (Network.moduleAttributes method) getRank() (in module Autograd)

getSubModuleName() (Network.Module method) grad() (Autograd.BaseTensorResource method) (DynamicTensor.dynamicTensor method) gradResource (Autograd.BaseTensorResource attribute)

H

hardCheckRank() (DynamicTensor.dynamicTensor method) head() (SimpleDomain.tuple method)

helpFindModuleByName() (in module Network) helpFindParamDataByName() (in module Network) high() (SimpleDomain.rect method)

I

imageCount (in module MNISTNet) images (in module MNISTNet) (in module ModuleSpec) (in module MultiLocaleInference) imagesD (in module MultiLocaleInference) imageType() (Standard._tuple method) img (in module MNISTNet) indexAt() (in module Utilities), [1] (SimpleDomain.rect method) (Standard._domain method), [1] (Standard._tuple method) indexAtHelperMultiples() (in module Utilities) indexAtHelperProd() (in module Utilities) indexInShape() (in module Utilities) init() (Autograd.BaseTensorResource method), [1], [2] (Autograd.TensorResource method), [1], [2], [3] (DynamicTensor.dynamicTensor method), [1], [2], [3], [4], [5] (MNISTNet.CNN method) (NDArray.ndarray method), [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] (Network.Conv2D method), [1], [2] (Network.Dropout method) (Network.Flatten method) (Network.Linear method), [1] (Network.MaxPool method), [1] (Network.Module method), [1] (Network.moduleAttributes method), [1], [2], [3], [4], [5] (Network.moduleChildren method) (Network.Net method) (Network.Parameter method) (Network.ReLU method) (Network.Sequential method), [1], [2], [3] (Network.Softmax method) (OrderedDict.dict method), [1], [2] (Remote.Remote method), [1], [2], [3] (SimpleDomain.rect method), [1], [2], [3], [4], [5], [6] (StaticTensor.staticTensor method), [1], [2], [3], [4], [5], [6]

init=() (NDArray.ndarray method), [1] (SimpleDomain.rect method), [1], [2], [3] input (Autograd.expandOp attribute) (Autograd.expOp attribute) (Autograd.maxOp attribute) (Autograd.padOp attribute) (Autograd.permuteOp attribute) (Autograd.reluOp attribute) (Autograd.reshapeOp attribute) (Autograd.shrinkOp attribute) (Autograd.sliceOp attribute) (Autograd.sumOp attribute) insert() (OrderedDict.dict method) insertIdx() (Standard._tuple method) isDomain() (in module SimpleDomain) isNormal() (Standard._domain method) isRegularDomain() (in module SimpleDomain) isTupleOfOrder() (in module SimpleDomain), [1] items() (Network.moduleChildren iterator) ith() (Network.moduleChildren method)

K

kernel (Autograd.conv2DOp attribute) (Network.Conv2D attribute) kernelRot() (NDArray.ndarray method), [1]

kernelShape (Network.Conv2D attribute) keys() (OrderedDict.dict iterator) keyType (OrderedDict.dict attribute)

L

last() (SimpleDomain.tuple method) layerDebug (in module MNISTNet) layerSliceOp (record in Autograd) layerType (Network.moduleAttributes attribute) (Network.ModuleSpecification attribute) lhs (Autograd.addOp attribute) (Autograd.divOp attribute) (Autograd.multOp attribute) (Autograd.subOp attribute) Linear (class in Network)

linearIdx() (in module Utilities) load() (DynamicTensor.dynamicTensor method) loadFromNumpy() (DynamicTensor.dynamicTensor method) loadModel() (in module Network) LoadNumpy (module) loadNumpyArray() (in module LoadNumpy) loadPyTorchDump() (Network.Module method) localeModels (in module MultiLocaleInference) localeModelsD (in module MultiLocaleInference) loopGpuSupport (in module Utilities) low() (SimpleDomain.rect method)

M

m (Network.Linear attribute) main() (in module ChAI) (in module DynamicTensor) (in module LoadNumpy) (in module NDArray) (in module Network) (in module StaticTensor) map() (Standard._tuple method) mask (Autograd.layerSliceOp attribute) maskDomain (Autograd.layerSliceOp attribute) matvec() (in module StaticTensor), [1] matvecmul() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method) (StaticTensor.staticTensor method) matvecmulFast() (DynamicTensor.dynamicTensor method) (StaticTensor.staticTensor method) max() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method), [1] (StaticTensor.staticTensor method) maxOp (record in Autograd) MaxPool (class in Network) maxPool() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method) (StaticTensor.staticTensor method) maxRank (Autograd.maxOp attribute) (in module DynamicTensor)

mds (Network.Sequential attribute) meta (DynamicTensor.dynamicTensor attribute) meta() (StaticTensor.staticTensor method) MNISTNet (module) mod() (Network.Module method) model (in module MNISTNet) (in module ModuleSpec) modelFromSpecFile() (in module Network) modelPath (in module MNISTNet) Module (class in Network) moduleAttributes (record in Network) moduleChildren (record in Network) moduleFieldNames() (Network.class iterator) moduleFields() (Network.class iterator) moduleFromSpec() (in module Network) moduleId (Network.Module attribute) moduleInstances (in module Network) moduleName (Network.Module attribute) (Network.moduleAttributes attribute) moduleNames() (Network.Module iterator) modules() (Network.Module iterator) ModuleSpec (module) ModuleSpecification (class in Network) MultiLocaleInference (module) multiReader() (DynamicTensor.dynamicTensor method) multOp (record in Autograd) myShape() (Standard._domain method)

N

n (in module StaticTensor) (Network.Linear attribute) namedModules() (Network.Module iterator) nbase() (in module Utilities), [1] NDArray (module) ndarray (record in NDArray) Net (class in Network) Network (module) newRank (Autograd.reshapeOp attribute)

NoRankArray (class in LoadNumpy) normalize() (Standard._domain method) normalizeArray() (in module Utilities), [1] normalizeDomain() (in module Utilities) numImages (in module ModuleSpec) (in module MultiLocaleInference) numTimes (in module MNISTNet) (in module ModuleSpec) numTries (in module MultiLocaleInference)

O

offset (SimpleDomain.rect attribute) oldRank (Autograd.reshapeOp attribute) ones() (DynamicTensor.dynamicTensor method) (StaticTensor.staticTensor method), [1] operationCtx (Autograd.TensorResource attribute) operationType (Autograd.TensorResource attribute) order (Network.moduleChildren attribute) (OrderedDict.dict attribute)

OrderedDict (module) originate() (SimpleDomain.rect method) output (in module ConvLayerTest) (in module MNISTNet) outRank() (Autograd.sumOp method) ownedModules (Network.Module attribute)

P

pad() (NDArray.ndarray method) (StaticTensor.staticTensor method) padOp (record in Autograd) par() (Network.Module method) Parameter (class in Network) parameterNames() (Network.Module iterator) parameters() (Network.Module iterator) permutation (Autograd.permuteOp attribute) permute() (NDArray.ndarray method) (StaticTensor.staticTensor method) permuteOp (record in Autograd) poolSize (Network.MaxPool attribute)

populateRemote() (NDArray.ndarray method) postinit() (Network.class method) preds (in module MNISTNet) (in module ModuleSpec) (in module MultiLocaleInference) prettyPrint() (Network.moduleAttributes method) prettyPrintSpec() (Network.moduleAttributes method) printResults (in module MNISTNet) (in module ModuleSpec) (in module MultiLocaleInference) product() (in module Utilities) ptr() (Remote.Remote method)

R

rangeFromBound() (in module Utilities), [1] rangeFromStart() (in module Utilities) rangesFromBounds() (in module Utilities) rangesFromShape() (in module Utilities) rank (Autograd.addOp attribute) (Autograd.BaseTensorResource attribute) (Autograd.expandOp attribute) (Autograd.ForgetfulTensor attribute) (Autograd.layerSliceOp attribute) (Autograd.maxOp attribute) (Autograd.multOp attribute) (Autograd.padOp attribute) (Autograd.permuteOp attribute) (Autograd.shrinkOp attribute) (Autograd.sliceOp attribute) (Autograd.sumOp attribute) (LoadNumpy.ArrClass attribute) (NDArray._tensor_resource attribute) (NDArray.ndarray attribute) (SimpleDomain.rect attribute) (StaticTensor.staticTensor attribute) read() (NDArray.ndarray method) (StaticTensor.staticTensor method) readData() (in module LoadNumpy) readInPlace() (DynamicTensor.dynamicTensor method) readShape() (in module LoadNumpy)

rect (record in SimpleDomain) ref() (in module Remote), [1], [2] registerModules() (Network.class method) ReLU (class in Network) relu() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method) (StaticTensor.staticTensor method) reluOp (record in Autograd) Remote (class in Remote) (module) removeIdx() (Standard._tuple method) reshape() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method), [1], [2] (StaticTensor.staticTensor method), [1] reshapeDomain() (NDArray.ndarray method) (StaticTensor.staticTensor method) reshapeOp (record in Autograd) resource (StaticTensor.staticTensor attribute) resource() (DynamicTensor.dynamicTensor method) rhs (Autograd.addOp attribute) (Autograd.divOp attribute) (Autograd.multOp attribute) (Autograd.subOp attribute) runtimeRank (DynamicTensor.dynamicTensor attribute) runtimeRank() (Autograd.BaseTensorResource method) (Autograd.TensorEssence method)

S

save() (DynamicTensor.dynamicTensor method) Sequential (class in Network) serialIter() (SimpleDomain.rect iterator) serialize() (DynamicTensor.dynamicTensor method), [1] (NDArray.ndarray method) (SimpleDomain.rect method), [1] (StaticTensor.staticTensor method), [1], [2] setData() (NDArray.ndarray method) setup() (Network.Conv2D method) (Network.Linear method) (Network.Module method) shape (Autograd.reshapeOp attribute) (SimpleDomain.rect attribute) shape() (NDArray.ndarray method) shiftedShape() (SimpleDomain.rect method) shrink() (NDArray.ndarray method) (StaticTensor.staticTensor method) shrinkOp (record in Autograd) signature() (Network.Module method) SimpleDomain (module) simpleTupleType() (in module SimpleDomain) size (in module StaticTensor) (SimpleDomain.rect attribute) size() (OrderedDict.dict method) slice() (DynamicTensor.dynamicTensor method), [1] (in module NDArray) (NDArray.ndarray method) (Standard._tuple method), [1] (Standard.string method) (StaticTensor.staticTensor method), [1]

sliceGeneric() (in module NDArray) sliceOp (record in Autograd) Softmax (class in Network) softmax() (DynamicTensor.dynamicTensor method) (StaticTensor.staticTensor method) splitAt() (in module NDArray) squeeze() (NDArray.ndarray method) Standard (module) StaticTensor (module) staticTensor (record in StaticTensor) stdRange (in module Types) stride (Autograd.conv2DOp attribute) (Network.Conv2D attribute) strides (SimpleDomain.rect attribute) subModuleOrder (Network.ModuleSpecification attribute) subModules (Network.Module attribute) (Network.ModuleSpecification attribute) subOp (record in Autograd) sum() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method) (StaticTensor.staticTensor method) sumAxesMask() (NDArray.ndarray method) sumOneAxis() (NDArray.ndarray method) sumOp (record in Autograd) sumRank (Autograd.sumOp attribute)

T

t (in module ConvLayerTest) table (OrderedDict.dict attribute) tail() (SimpleDomain.tuple method) take() (in module NDArray) (Standard.string method) takeUntil() (Standard.string method) targetGpu() (in module Utilities) Tensor (in module DynamicTensor) tensor (in module StaticTensor) Tensor (module) TensorEssence (class in Autograd) tensorFromCtx() (in module StaticTensor) tensorize() (DynamicTensor.dynamicTensor method) TensorResource (class in Autograd) testImgSize (in module MNISTNet) these() (Network.moduleChildren iterator) (OrderedDict.dict iterator) (SimpleDomain.rect iterator), [1] this() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method) (Network.class method), [1] (Network.Module method) (Standard.string method) (StaticTensor.staticTensor method)

time (in module ModuleSpec) to() (Autograd.BaseTensorResource method) (DynamicTensor.dynamicTensor method) (Remote.Remote method) toArray() (DynamicTensor.dynamicTensor method) toNDArray() (DynamicTensor.dynamicTensor method) toRemote() (NDArray.ndarray method) toString() (SimpleDomain.rect method) totalTime (in module MultiLocaleInference) toTensor() (DynamicTensor.ndarray method) translate() (SimpleDomain.rect method) treeHeight() (Autograd.TensorEssence method) tuple (in module SimpleDomain) Types (module)

U

uncons() (SimpleDomain.tuple method) unsqueeze() (StaticTensor.staticTensor method)

untuplify() (Standard._tuple method) unwrap() (in module SimpleDomain) Utilities (module)

V

valType (OrderedDict.dict attribute) value (Autograd.padOp attribute) (Remote.Remote attribute)

values() (OrderedDict.dict iterator)

W

weight (Network.Linear attribute) wrap() (in module SimpleDomain), [1]

write() (DynamicTensor.dynamicTensor method) (NDArray.ndarray method)

Z

zeros() (DynamicTensor.dynamicTensor method) (StaticTensor.staticTensor method), [1]

zeroTup() (in module SimpleDomain) zipArr() (in module NDArray) zipBinOp() (in module DynamicTensor)