Index
Modules:
data,
graph,
image,
literal,
nimxla,
nimxla_plot,
nn,
plots,
shape,
tensor,
train.
API symbols
- `!=`:
- `!`:
- `$`:
- `*`:
- `+`:
- `-`:
- `/`:
- `<=`:
- `<`:
- `==`:
- `>=`:
- `>`:
- `@@`:
- `[]=`:
- `[]`:
- `^`:
- abs:
- accuracyFunc:
- AdamOptimizer:
- add:
- addAt:
- addrOf:
- Affine:
- append:
- approxEqual:
- argMax:
- argMin:
- ArrayKind:
- arrayShape:
- at:
- avgPool1d:
- avgPool2d:
- avgPool3d:
- batchNormGrad:
- batchNormInference:
- batchNormTraining:
- BF16:
- Bool:
- boolean:
- broadcast:
- broadcastInDim:
- Buffer:
- build:
- Builder:
- BuilderError:
- C128:
- C64:
- ceil:
- ChainedScheduler:
- CIFAR10Dataset:
- cifar10Dataset:
- clamp:
- classes:
- Client:
- clone:
- collapse:
- compile:
- compileTest:
- compileTrain:
- Computation:
- concat:
- constant:
- constantInit:
- conv1d:
- conv2d:
- conv3d:
- convert:
- convolution:
- copy:
- cos:
- CosineAnnealingLR:
- crossEntropyLoss:
- DataLoader:
- Dataset:
- DataType:
- decomposeTuple:
- deviceCount:
- dims:
- Direction:
- dot:
- dropout:
- dtype:
- dtypeOf:
- dump:
- Elastic:
- ElemType:
- Error:
- errorNode:
- Executable:
- exp:
- F16:
- f32:
- F32:
- f64:
- F64:
- Fatal:
- fill:
- flatten:
- Flip:
- floor:
- format:
- fromHlo:
- gather:
- getAccuracy:
- getBatch:
- getItem:
- getLayout:
- getParams:
- glorotInit:
- gradient:
- gradNames:
- gridLayout:
- heInit:
- HloModule:
- Horizontal:
- I16:
- i32:
- I32:
- i64:
- I64:
- I8:
- ImageOp:
- ImageOpKind:
- ImageRequest:
- Info:
- init:
- initBatchNorm:
- initConv2d:
- initConv2dBatchNorm:
- InitFunc:
- initLinear:
- initParams:
- initRandom:
- initTransformer:
- InvalidType:
- iota:
- isFinite:
- learnableVars:
- learningRate:
- len:
- LinearLR:
- lit:
- Literal:
- loadCheckpoint:
- log:
- log1p:
- logicalAnd:
- logicalOr:
- LogLevel:
- makeTuple:
- max:
- maxPool1d:
- maxPool2d:
- maxPool3d:
- maxValue:
- mean:
- min:
- minValue:
- MNISTDataset:
- mnistDataset:
- Module:
- mseLoss:
- name:
- narrow:
- newBuffer:
- newBuilder:
- newChainedScheduler:
- newClient:
- newCosineAnnealingLR:
- newCPUClient:
- newGPUClient:
- newLinearLR:
- newLiteral:
- newLoader:
- newStepLR:
- newTensor:
- newTPUClient:
- newVariable:
- Node:
- normalInit:
- normalization:
- noutputs:
- one:
- oneHot:
- OpaqueType:
- openWebSocket:
- Opt2d:
- Opt3d:
- optimAdam:
- optimAdamW:
- Optimizer:
- optimSGD:
- OpType:
- Outputs:
- pad:
- Pad2d:
- Pad3d:
- Padding:
- padSame:
- param:
- parameter:
- parameters:
- Params:
- platformName:
- platformVersion:
- plotImage:
- plotImageGrid:
- pow:
- raiseError:
- randomAffine:
- randomElastic:
- randomFlip:
- randomWrap:
- rank:
- rawPtr:
- readCheckpointFile:
- readTensor:
- reduce:
- reduceWindow:
- relu:
- rem:
- repr:
- reshape:
- resultShape:
- reverse:
- rngNormal:
- rngUniform:
- round:
- rsqrt:
- run:
- runAndUnpack:
- runWith:
- saveCheckpoint:
- scatter:
- Scheduler:
- select:
- selectAndScatter:
- seq2:
- seq3:
- servePlots:
- setLearningRate:
- setLogLevel:
- setParams:
- setPrintOpts:
- setVars:
- SGDOptimizer:
- shape:
- Shape:
- shape:
- ShapeKind:
- shutdown:
- sigmoid:
- sign:
- sin:
- softmax:
- sqrt:
- start:
- statsPlots:
- step:
- StepLR:
- sum:
- tAbs:
- tAdd:
- tAnd:
- tanh:
- tArgmax:
- tArgmin:
- tBatchNormGrad:
- tBatchNormInference:
- tBatchNormTraining:
- tBroadcast:
- tBroadcastInDim:
- tCeil:
- tClamp:
- tCollapse:
- tConcat:
- tConst:
- tConv:
- tConvert:
- tCopy:
- tCos:
- tDiv:
- tDot:
- Tensor:
- tEq:
- tError:
- testFunc:
- tExp:
- tFloor:
- tGather:
- tGe:
- tGt:
- tIota:
- tIsFinite:
- tLe:
- tLiteral:
- tLog:
- tLog1p:
- tLt:
- tMax:
- tMaxPool:
- tMin:
- tMul:
- tNarrow:
- tNe:
- tNeg:
- tNone:
- tNot:
- toHlo:
- Token:
- toLiteral:
- toLiterals:
- tOr:
- toSeq:
- toShape:
- toString:
- toTensor:
- tPad:
- tParam:
- tPow:
- trainEpoch:
- Trainer:
- trainFunc:
- trainNetwork:
- TransContext:
- transform:
- Transformer:
- transpose:
- tReduce:
- tReduceMax:
- tReduceMin:
- tReduceSum:
- tReduceWindow:
- tRelu:
- tRem:
- tReshape:
- tReverse:
- tRngNormal:
- tRngUniform:
- tRound:
- tRsqrt:
- tScatter:
- tSelect:
- tSelectAndScatter:
- tSigmoid:
- tSign:
- tSin:
- tSoftmax:
- tSqrt:
- tSub:
- tSumPool:
- tTanh:
- tTranspose:
- tTuple:
- tTupleElement:
- Tuple:
- tuple2:
- tuple3:
- tuple4:
- tuple5:
- TupleKind:
- tZerosLike:
- U16:
- U32:
- U64:
- U8:
- uniformInit:
- update:
- updatePlot:
- Variable:
- varNames:
- Vertical:
- Warning:
- Wrap:
- write:
- zero:
- zeros:
- zerosLike:
Made with Nim. Generated: 2023-08-09 12:15:29 UTC