Package | Description |
---|---|
org.bytedeco.tensorflow | |
org.bytedeco.tensorflow.global |
Modifier and Type | Method and Description |
---|---|
Output |
SparseAddGrad.a_val_grad() |
Output |
SparseAddGrad.a_val_grad() |
Output |
Elu.activations() |
Output |
LeakyRelu.activations() |
Output |
QuantizedRelu.activations() |
Output |
QuantizedRelu6.activations() |
Output |
QuantizedReluX.activations() |
Output |
Relu.activations() |
Output |
Relu6.activations() |
Output |
Selu.activations() |
Output |
Softplus.activations() |
Output |
Softsign.activations() |
Output |
Softsign.activations() |
Output |
Softplus.activations() |
Output |
Selu.activations() |
Output |
Relu6.activations() |
Output |
Relu.activations() |
Output |
QuantizedReluX.activations() |
Output |
QuantizedRelu6.activations() |
Output |
QuantizedRelu.activations() |
Output |
LeakyRelu.activations() |
Output |
Elu.activations() |
Output |
MaxPoolWithArgmax.argmax() |
Output |
MaxPoolWithArgmax.argmax() |
Output |
Abs.asOutput() |
Output |
AccumulateNV2.asOutput() |
Output |
AccumulatorNumAccumulated.asOutput() |
Output |
AccumulatorTakeGradient.asOutput() |
Output |
Acos.asOutput() |
Output |
Acosh.asOutput() |
Output |
Add.asOutput() |
Output |
AddManySparseToTensorsMap.asOutput() |
Output |
AddN.asOutput() |
Output |
AddSparseToTensorsMap.asOutput() |
Output |
AddV2.asOutput() |
Output |
AdjustContrast.asOutput() |
Output |
AdjustHue.asOutput() |
Output |
AdjustSaturation.asOutput() |
Output |
All.asOutput() |
Output |
Angle.asOutput() |
Output |
Any.asOutput() |
Output |
ApplyAdadelta.asOutput() |
Output |
ApplyAdagrad.asOutput() |
Output |
ApplyAdagradDA.asOutput() |
Output |
ApplyAdam.asOutput() |
Output |
ApplyAddSign.asOutput() |
Output |
ApplyCenteredRMSProp.asOutput() |
Output |
ApplyFtrl.asOutput() |
Output |
ApplyFtrlV2.asOutput() |
Output |
ApplyGradientDescent.asOutput() |
Output |
ApplyMomentum.asOutput() |
Output |
ApplyPowerSign.asOutput() |
Output |
ApplyProximalAdagrad.asOutput() |
Output |
ApplyProximalGradientDescent.asOutput() |
Output |
ApplyRMSProp.asOutput() |
Output |
ApproximateEqual.asOutput() |
Output |
ArgMax.asOutput() |
Output |
ArgMin.asOutput() |
Output |
Asin.asOutput() |
Output |
Asinh.asOutput() |
Output |
Assign.asOutput() |
Output |
AssignAdd.asOutput() |
Output |
AssignSub.asOutput() |
Output |
AsString.asOutput() |
Output |
Atan.asOutput() |
Output |
Atan2.asOutput() |
Output |
Atanh.asOutput() |
Output |
AudioSpectrogram.asOutput() |
Output |
AudioSummary.asOutput() |
Output |
AvgPool.asOutput() |
Output |
AvgPool3D.asOutput() |
Output |
AvgPool3DGrad.asOutput() |
Output |
AvgPoolGrad.asOutput() |
Output |
Barrier.asOutput() |
Output |
BarrierIncompleteSize.asOutput() |
Output |
BarrierReadySize.asOutput() |
Output |
BatchMatMul.asOutput() |
Output |
BatchMatMulV2.asOutput() |
Output |
BatchToSpace.asOutput() |
Output |
BatchToSpaceND.asOutput() |
Output |
BesselI0e.asOutput() |
Output |
BesselI1e.asOutput() |
Output |
Betainc.asOutput() |
Output |
BiasAdd.asOutput() |
Output |
BiasAddGrad.asOutput() |
Output |
Bincount.asOutput() |
Output |
Bitcast.asOutput() |
Output |
BroadcastDynamicShape.asOutput() |
Output |
BroadcastTo.asOutput() |
Output |
Bucketize.asOutput() |
Output |
CastOp.asOutput() |
Output |
Ceil.asOutput() |
Output |
CheckNumerics.asOutput() |
Output |
Cholesky.asOutput() |
Output |
CholeskyGrad.asOutput() |
Output |
ClipByValue.asOutput() |
Output |
CompareAndBitpack.asOutput() |
Output |
Complex.asOutput() |
Output |
ComplexAbs.asOutput() |
Output |
Concat.asOutput() |
Output |
ConditionalAccumulator.asOutput() |
Output |
Conj.asOutput() |
Output |
ConjugateTranspose.asOutput() |
Output |
Conv2D.asOutput() |
Output |
Conv2DBackpropFilter.asOutput() |
Output |
Conv2DBackpropInput.asOutput() |
Output |
Conv3D.asOutput() |
Output |
Conv3DBackpropFilterV2.asOutput() |
Output |
Conv3DBackpropInputV2.asOutput() |
Output |
Cos.asOutput() |
Output |
Cosh.asOutput() |
Output |
CountUpTo.asOutput() |
Output |
CropAndResize.asOutput() |
Output |
CropAndResizeGradBoxes.asOutput() |
Output |
CropAndResizeGradImage.asOutput() |
Output |
Cross.asOutput() |
Output |
Cumprod.asOutput() |
Output |
Cumsum.asOutput() |
Output |
DataFormatDimMap.asOutput() |
Output |
DataFormatVecPermute.asOutput() |
Output |
DebugGradientIdentity.asOutput() |
Output |
DebugGradientRefIdentity.asOutput() |
Output |
DecodeAndCropJpeg.asOutput() |
Output |
DecodeBase64.asOutput() |
Output |
DecodeBmp.asOutput() |
Output |
DecodeCompressed.asOutput() |
Output |
DecodeGif.asOutput() |
Output |
DecodeJpeg.asOutput() |
Output |
DecodeJSONExample.asOutput() |
Output |
DecodePaddedRaw.asOutput() |
Output |
DecodePng.asOutput() |
Output |
DecodeRaw.asOutput() |
Output |
DeepCopy.asOutput() |
Output |
DepthToSpace.asOutput() |
Output |
DepthwiseConv2dNative.asOutput() |
Output |
DepthwiseConv2dNativeBackpropFilter.asOutput() |
Output |
DepthwiseConv2dNativeBackpropInput.asOutput() |
Output |
Dequantize.asOutput() |
Output |
DestroyTemporaryVariable.asOutput() |
Output |
Diag.asOutput() |
Output |
DiagPart.asOutput() |
Output |
Digamma.asOutput() |
Output |
Dilation2D.asOutput() |
Output |
Dilation2DBackpropFilter.asOutput() |
Output |
Dilation2DBackpropInput.asOutput() |
Output |
Div.asOutput() |
Output |
DivNoNan.asOutput() |
Output |
DrawBoundingBoxes.asOutput() |
Output |
DrawBoundingBoxesV2.asOutput() |
Output |
DynamicStitch.asOutput() |
Output |
EditDistance.asOutput() |
Output |
Einsum.asOutput() |
Output |
Elu.asOutput() |
Output |
EluGrad.asOutput() |
Output |
Empty.asOutput() |
Output |
EmptyTensorList.asOutput() |
Output |
EncodeBase64.asOutput() |
Output |
EncodeJpeg.asOutput() |
Output |
EncodeJpegVariableQuality.asOutput() |
Output |
EncodePng.asOutput() |
Output |
EncodeWav.asOutput() |
Output |
EnsureShape.asOutput() |
Output |
Equal.asOutput() |
Output |
Erf.asOutput() |
Output |
Erfc.asOutput() |
Output |
EuclideanNorm.asOutput() |
Output |
Exp.asOutput() |
Output |
ExpandDims.asOutput() |
Output |
Expm1.asOutput() |
Output |
ExtractGlimpse.asOutput() |
Output |
ExtractImagePatches.asOutput() |
Output |
ExtractJpegShape.asOutput() |
Output |
ExtractVolumePatches.asOutput() |
Output |
Fact.asOutput() |
Output |
FakeQuantWithMinMaxArgs.asOutput() |
Output |
FakeQuantWithMinMaxArgsGradient.asOutput() |
Output |
FakeQuantWithMinMaxVars.asOutput() |
Output |
FakeQuantWithMinMaxVarsPerChannel.asOutput() |
Output |
FIFOQueue.asOutput() |
Output |
Fill.asOutput() |
Output |
Fingerprint.asOutput() |
Output |
FixedLengthRecordReader.asOutput() |
Output |
Floor.asOutput() |
Output |
FloorDiv.asOutput() |
Output |
FloorMod.asOutput() |
Output |
FractionalAvgPoolGrad.asOutput() |
Output |
FractionalMaxPoolGrad.asOutput() |
Output |
FusedPadConv2D.asOutput() |
Output |
FusedResizeAndPadConv2D.asOutput() |
Output |
Gather.asOutput() |
Output |
GatherNd.asOutput() |
Output |
GatherV2.asOutput() |
Output |
GetSessionHandle.asOutput() |
Output |
GetSessionHandleV2.asOutput() |
Output |
GetSessionTensor.asOutput() |
Output |
Greater.asOutput() |
Output |
GreaterEqual.asOutput() |
Output |
GuaranteeConst.asOutput() |
Output |
HashTable.asOutput() |
Output |
HistogramFixedWidth.asOutput() |
Output |
HistogramSummary.asOutput() |
Output |
HSVToRGB.asOutput() |
Output |
Identity.asOutput() |
Output |
IdentityReader.asOutput() |
Output |
Igamma.asOutput() |
Output |
Igammac.asOutput() |
Output |
Imag.asOutput() |
Output |
ImageSummary.asOutput() |
Output |
ImmutableConst.asOutput() |
Output |
InplaceAdd.asOutput() |
Output |
InplaceSub.asOutput() |
Output |
InplaceUpdate.asOutput() |
Output |
InTopK.asOutput() |
Output |
InTopKV2.asOutput() |
Output |
Inv.asOutput() |
Output |
InvertPermutation.asOutput() |
Output |
IsFinite.asOutput() |
Output |
IsInf.asOutput() |
Output |
IsNan.asOutput() |
Output |
IsVariableInitialized.asOutput() |
Output |
L2Loss.asOutput() |
Output |
LeakyRelu.asOutput() |
Output |
LeakyReluGrad.asOutput() |
Output |
Less.asOutput() |
Output |
LessEqual.asOutput() |
Output |
Lgamma.asOutput() |
Output |
LinSpace.asOutput() |
Output |
LMDBReader.asOutput() |
Output |
Log.asOutput() |
Output |
Log1p.asOutput() |
Output |
LogicalAnd.asOutput() |
Output |
LogicalNot.asOutput() |
Output |
LogicalOr.asOutput() |
Output |
LogSoftmax.asOutput() |
Output |
LookupTableFind.asOutput() |
Output |
LookupTableSize.asOutput() |
Output |
LoopCond.asOutput() |
Output |
LRN.asOutput() |
Output |
LRNGrad.asOutput() |
Output |
MapIncompleteSize.asOutput() |
Output |
MapSize.asOutput() |
Output |
MatchingFiles.asOutput() |
Output |
MatMul.asOutput() |
Output |
MatrixBandPart.asOutput() |
Output |
MatrixDeterminant.asOutput() |
Output |
MatrixDiag.asOutput() |
Output |
MatrixDiagPart.asOutput() |
Output |
MatrixDiagPartV2.asOutput() |
Output |
MatrixDiagV2.asOutput() |
Output |
MatrixInverse.asOutput() |
Output |
MatrixSetDiag.asOutput() |
Output |
MatrixSetDiagV2.asOutput() |
Output |
MatrixSolve.asOutput() |
Output |
MatrixSolveLs.asOutput() |
Output |
MatrixSquareRoot.asOutput() |
Output |
MatrixTriangularSolve.asOutput() |
Output |
Max.asOutput() |
Output |
Maximum.asOutput() |
Output |
MaxPool.asOutput() |
Output |
MaxPool3D.asOutput() |
Output |
MaxPool3DGrad.asOutput() |
Output |
MaxPool3DGradGrad.asOutput() |
Output |
MaxPoolGrad.asOutput() |
Output |
MaxPoolGradGrad.asOutput() |
Output |
MaxPoolGradGradV2.asOutput() |
Output |
MaxPoolGradGradWithArgmax.asOutput() |
Output |
MaxPoolGradV2.asOutput() |
Output |
MaxPoolGradWithArgmax.asOutput() |
Output |
MaxPoolV2.asOutput() |
Output |
Mean.asOutput() |
Output |
MergeSummary.asOutput() |
Output |
Mfcc.asOutput() |
Output |
Min.asOutput() |
Output |
Minimum.asOutput() |
Output |
MirrorPad.asOutput() |
Output |
Mod.asOutput() |
Output |
MulNoNan.asOutput() |
Output |
Multinomial.asOutput() |
Output |
Multiply.asOutput() |
Output |
MutableDenseHashTable.asOutput() |
Output |
MutableHashTable.asOutput() |
Output |
MutableHashTableOfTensors.asOutput() |
Output |
Negate.asOutput() |
Output |
NextAfter.asOutput() |
Output |
NextIteration.asOutput() |
Output |
NonMaxSuppression.asOutput() |
Output |
NonMaxSuppressionV2.asOutput() |
Output |
NonMaxSuppressionV3.asOutput() |
Output |
NonMaxSuppressionWithOverlaps.asOutput() |
Output |
NotEqual.asOutput() |
Output |
NthElement.asOutput() |
Output |
OneHot.asOutput() |
Output |
OnesLike.asOutput() |
Output |
OrderedMapIncompleteSize.asOutput() |
Output |
OrderedMapSize.asOutput() |
Output |
Pad.asOutput() |
Output |
PaddingFIFOQueue.asOutput() |
Output |
PadV2.asOutput() |
Output |
ParallelConcat.asOutput() |
Output |
ParallelDynamicStitch.asOutput() |
Output |
ParameterizedTruncatedNormal.asOutput() |
Output |
ParseTensor.asOutput() |
Output |
Placeholder.asOutput() |
Output |
PlaceholderWithDefault.asOutput() |
Output |
Polygamma.asOutput() |
Output |
Pow.asOutput() |
Output |
PreventGradient.asOutput() |
Output |
Print.asOutput() |
Output |
PriorityQueue.asOutput() |
Output |
Prod.asOutput() |
Output |
QuantizeAndDequantizeV2.asOutput() |
Output |
QuantizeAndDequantizeV3.asOutput() |
Output |
QueueIsClosed.asOutput() |
Output |
QueueIsClosedV2.asOutput() |
Output |
QueueSize.asOutput() |
Output |
RandomGamma.asOutput() |
Output |
RandomNormal.asOutput() |
Output |
RandomPoissonV2.asOutput() |
Output |
RandomShuffle.asOutput() |
Output |
RandomShuffleQueue.asOutput() |
Output |
RandomUniform.asOutput() |
Output |
RandomUniformInt.asOutput() |
Output |
Range.asOutput() |
Output |
Rank.asOutput() |
Output |
ReaderNumRecordsProduced.asOutput() |
Output |
ReaderNumWorkUnitsCompleted.asOutput() |
Output |
ReaderSerializeState.asOutput() |
Output |
ReadFile.asOutput() |
Output |
Real.asOutput() |
Output |
RealDiv.asOutput() |
Output |
Reciprocal.asOutput() |
Output |
RecordInput.asOutput() |
Output |
ReduceJoin.asOutput() |
Output |
RefNextIteration.asOutput() |
Output |
RefSelect.asOutput() |
Output |
RegexFullMatch.asOutput() |
Output |
RegexReplace.asOutput() |
Output |
Relu.asOutput() |
Output |
Relu6.asOutput() |
Output |
Relu6Grad.asOutput() |
Output |
ReluGrad.asOutput() |
Output |
Reshape.asOutput() |
Output |
ResizeArea.asOutput() |
Output |
ResizeBicubic.asOutput() |
Output |
ResizeBilinear.asOutput() |
Output |
ResizeNearestNeighbor.asOutput() |
Output |
ResourceCountUpTo.asOutput() |
Output |
Restore.asOutput() |
Output |
RestoreSlice.asOutput() |
Output |
Reverse.asOutput() |
Output |
ReverseSequence.asOutput() |
Output |
RGBToHSV.asOutput() |
Output |
Rint.asOutput() |
Output |
Roll.asOutput() |
Output |
Round.asOutput() |
Output |
Rsqrt.asOutput() |
Output |
ScalarSummary.asOutput() |
Output |
ScaleAndTranslate.asOutput() |
Output |
ScatterAdd.asOutput() |
Output |
ScatterDiv.asOutput() |
Output |
ScatterMax.asOutput() |
Output |
ScatterMin.asOutput() |
Output |
ScatterMul.asOutput() |
Output |
ScatterNd.asOutput() |
Output |
ScatterNdAdd.asOutput() |
Output |
ScatterNdNonAliasingAdd.asOutput() |
Output |
ScatterNdSub.asOutput() |
Output |
ScatterNdUpdate.asOutput() |
Output |
ScatterSub.asOutput() |
Output |
ScatterUpdate.asOutput() |
Output |
SegmentMax.asOutput() |
Output |
SegmentMean.asOutput() |
Output |
SegmentMin.asOutput() |
Output |
SegmentProd.asOutput() |
Output |
SegmentSum.asOutput() |
Output |
SelectV2.asOutput() |
Output |
Selu.asOutput() |
Output |
SeluGrad.asOutput() |
Output |
SerializeManySparse.asOutput() |
Output |
SerializeSparse.asOutput() |
Output |
SerializeTensor.asOutput() |
Output |
ShardedFilename.asOutput() |
Output |
ShardedFilespec.asOutput() |
Output |
Sigmoid.asOutput() |
Output |
Sign.asOutput() |
Output |
Sin.asOutput() |
Output |
Sinh.asOutput() |
Output |
Size.asOutput() |
Output |
Slice.asOutput() |
Output |
Snapshot.asOutput() |
Output |
Softmax.asOutput() |
Output |
Softplus.asOutput() |
Output |
SoftplusGrad.asOutput() |
Output |
Softsign.asOutput() |
Output |
SoftsignGrad.asOutput() |
Output |
SpaceToBatch.asOutput() |
Output |
SpaceToBatchND.asOutput() |
Output |
SpaceToDepth.asOutput() |
Output |
SparseApplyAdadelta.asOutput() |
Output |
SparseApplyAdagrad.asOutput() |
Output |
SparseApplyAdagradDA.asOutput() |
Output |
SparseApplyCenteredRMSProp.asOutput() |
Output |
SparseApplyFtrl.asOutput() |
Output |
SparseApplyFtrlV2.asOutput() |
Output |
SparseApplyMomentum.asOutput() |
Output |
SparseApplyProximalAdagrad.asOutput() |
Output |
SparseApplyProximalGradientDescent.asOutput() |
Output |
SparseApplyRMSProp.asOutput() |
Output |
SparseConditionalAccumulator.asOutput() |
Output |
SparseDenseCwiseAdd.asOutput() |
Output |
SparseDenseCwiseDiv.asOutput() |
Output |
SparseDenseCwiseMul.asOutput() |
Output |
SparseMatMul.asOutput() |
Output |
SparseReduceMax.asOutput() |
Output |
SparseReduceSum.asOutput() |
Output |
SparseSegmentMean.asOutput() |
Output |
SparseSegmentMeanGrad.asOutput() |
Output |
SparseSegmentMeanWithNumSegments.asOutput() |
Output |
SparseSegmentSqrtN.asOutput() |
Output |
SparseSegmentSqrtNGrad.asOutput() |
Output |
SparseSegmentSqrtNWithNumSegments.asOutput() |
Output |
SparseSegmentSum.asOutput() |
Output |
SparseSegmentSumWithNumSegments.asOutput() |
Output |
SparseSliceGrad.asOutput() |
Output |
SparseSoftmax.asOutput() |
Output |
SparseTensorDenseAdd.asOutput() |
Output |
SparseTensorDenseMatMul.asOutput() |
Output |
SparseToDense.asOutput() |
Output |
Sqrt.asOutput() |
Output |
Square.asOutput() |
Output |
SquaredDifference.asOutput() |
Output |
Squeeze.asOutput() |
Output |
Stack.asOutput() |
Output |
StageSize.asOutput() |
Output |
StopGradient.asOutput() |
Output |
StridedSlice.asOutput() |
Output |
StridedSliceAssign.asOutput() |
Output |
StridedSliceGrad.asOutput() |
Output |
StringFormat.asOutput() |
Output |
StringJoin.asOutput() |
Output |
StringLength.asOutput() |
Output |
StringLower.asOutput() |
Output |
StringStrip.asOutput() |
Output |
StringToHashBucket.asOutput() |
Output |
StringToHashBucketFast.asOutput() |
Output |
StringToHashBucketStrong.asOutput() |
Output |
StringToNumber.asOutput() |
Output |
StringUpper.asOutput() |
Output |
Substr.asOutput() |
Output |
Subtract.asOutput() |
Output |
Sum.asOutput() |
Output |
Tan.asOutput() |
Output |
Tanh.asOutput() |
Output |
TemporaryVariable.asOutput() |
Output |
TensorArrayGather.asOutput() |
Output |
TensorArrayRead.asOutput() |
Output |
TensorArrayScatter.asOutput() |
Output |
TensorArraySize.asOutput() |
Output |
TensorArraySplit.asOutput() |
Output |
TensorArrayWrite.asOutput() |
Output |
TensorListConcatLists.asOutput() |
Output |
TensorListElementShape.asOutput() |
Output |
TensorListFromTensor.asOutput() |
Output |
TensorListGather.asOutput() |
Output |
TensorListGetItem.asOutput() |
Output |
TensorListLength.asOutput() |
Output |
TensorListPushBack.asOutput() |
Output |
TensorListPushBackBatch.asOutput() |
Output |
TensorListReserve.asOutput() |
Output |
TensorListResize.asOutput() |
Output |
TensorListScatter.asOutput() |
Output |
TensorListScatterIntoExistingList.asOutput() |
Output |
TensorListScatterV2.asOutput() |
Output |
TensorListSetItem.asOutput() |
Output |
TensorListSplit.asOutput() |
Output |
TensorListStack.asOutput() |
Output |
TensorScatterAdd.asOutput() |
Output |
TensorScatterSub.asOutput() |
Output |
TensorScatterUpdate.asOutput() |
Output |
TensorStridedSliceUpdate.asOutput() |
Output |
TensorSummary.asOutput() |
Output |
TensorSummaryV2.asOutput() |
Output |
TextLineReader.asOutput() |
Output |
TFRecordReader.asOutput() |
Output |
Tile.asOutput() |
Output |
Timestamp.asOutput() |
Output |
Transpose.asOutput() |
Output |
TruncateDiv.asOutput() |
Output |
TruncatedNormal.asOutput() |
Output |
TruncateMod.asOutput() |
Output |
UnicodeScript.asOutput() |
Output |
UnicodeTranscode.asOutput() |
Output |
UnravelIndex.asOutput() |
Output |
UnsortedSegmentJoin.asOutput() |
Output |
UnsortedSegmentMax.asOutput() |
Output |
UnsortedSegmentMin.asOutput() |
Output |
UnsortedSegmentProd.asOutput() |
Output |
UnsortedSegmentSum.asOutput() |
Output |
Variable.asOutput() |
Output |
Where.asOutput() |
Output |
Where3.asOutput() |
Output |
WholeFileReader.asOutput() |
Output |
Xdivy.asOutput() |
Output |
Xlogy.asOutput() |
Output |
ZerosLike.asOutput() |
Output |
Zeta.asOutput() |
Output |
Zeta.asOutput() |
Output |
ZerosLike.asOutput() |
Output |
Xlogy.asOutput() |
Output |
Xdivy.asOutput() |
Output |
WholeFileReader.asOutput() |
Output |
Where3.asOutput() |
Output |
Where.asOutput() |
Output |
Variable.asOutput() |
Output |
UnsortedSegmentSum.asOutput() |
Output |
UnsortedSegmentProd.asOutput() |
Output |
UnsortedSegmentMin.asOutput() |
Output |
UnsortedSegmentMax.asOutput() |
Output |
UnsortedSegmentJoin.asOutput() |
Output |
UnravelIndex.asOutput() |
Output |
UnicodeTranscode.asOutput() |
Output |
UnicodeScript.asOutput() |
Output |
TruncateMod.asOutput() |
Output |
TruncatedNormal.asOutput() |
Output |
TruncateDiv.asOutput() |
Output |
Transpose.asOutput() |
Output |
Timestamp.asOutput() |
Output |
Tile.asOutput() |
Output |
TFRecordReader.asOutput() |
Output |
TextLineReader.asOutput() |
Output |
TensorSummaryV2.asOutput() |
Output |
TensorSummary.asOutput() |
Output |
TensorStridedSliceUpdate.asOutput() |
Output |
TensorScatterUpdate.asOutput() |
Output |
TensorScatterSub.asOutput() |
Output |
TensorScatterAdd.asOutput() |
Output |
TensorListStack.asOutput() |
Output |
TensorListSplit.asOutput() |
Output |
TensorListSetItem.asOutput() |
Output |
TensorListScatterV2.asOutput() |
Output |
TensorListScatterIntoExistingList.asOutput() |
Output |
TensorListScatter.asOutput() |
Output |
TensorListResize.asOutput() |
Output |
TensorListReserve.asOutput() |
Output |
TensorListPushBackBatch.asOutput() |
Output |
TensorListPushBack.asOutput() |
Output |
TensorListLength.asOutput() |
Output |
TensorListGetItem.asOutput() |
Output |
TensorListGather.asOutput() |
Output |
TensorListFromTensor.asOutput() |
Output |
TensorListElementShape.asOutput() |
Output |
TensorListConcatLists.asOutput() |
Output |
TensorArrayWrite.asOutput() |
Output |
TensorArraySplit.asOutput() |
Output |
TensorArraySize.asOutput() |
Output |
TensorArrayScatter.asOutput() |
Output |
TensorArrayRead.asOutput() |
Output |
TensorArrayGather.asOutput() |
Output |
TemporaryVariable.asOutput() |
Output |
Tanh.asOutput() |
Output |
Tan.asOutput() |
Output |
Sum.asOutput() |
Output |
Subtract.asOutput() |
Output |
Substr.asOutput() |
Output |
StringUpper.asOutput() |
Output |
StringToNumber.asOutput() |
Output |
StringToHashBucketStrong.asOutput() |
Output |
StringToHashBucketFast.asOutput() |
Output |
StringToHashBucket.asOutput() |
Output |
StringStrip.asOutput() |
Output |
StringLower.asOutput() |
Output |
StringLength.asOutput() |
Output |
StringJoin.asOutput() |
Output |
StringFormat.asOutput() |
Output |
StridedSliceGrad.asOutput() |
Output |
StridedSliceAssign.asOutput() |
Output |
StridedSlice.asOutput() |
Output |
StopGradient.asOutput() |
Output |
StageSize.asOutput() |
Output |
Stack.asOutput() |
Output |
Squeeze.asOutput() |
Output |
SquaredDifference.asOutput() |
Output |
Square.asOutput() |
Output |
Sqrt.asOutput() |
Output |
SparseToDense.asOutput() |
Output |
SparseTensorDenseMatMul.asOutput() |
Output |
SparseTensorDenseAdd.asOutput() |
Output |
SparseSoftmax.asOutput() |
Output |
SparseSliceGrad.asOutput() |
Output |
SparseSegmentSumWithNumSegments.asOutput() |
Output |
SparseSegmentSum.asOutput() |
Output |
SparseSegmentSqrtNWithNumSegments.asOutput() |
Output |
SparseSegmentSqrtNGrad.asOutput() |
Output |
SparseSegmentSqrtN.asOutput() |
Output |
SparseSegmentMeanWithNumSegments.asOutput() |
Output |
SparseSegmentMeanGrad.asOutput() |
Output |
SparseSegmentMean.asOutput() |
Output |
SparseReduceSum.asOutput() |
Output |
SparseReduceMax.asOutput() |
Output |
SparseMatMul.asOutput() |
Output |
SparseDenseCwiseMul.asOutput() |
Output |
SparseDenseCwiseDiv.asOutput() |
Output |
SparseDenseCwiseAdd.asOutput() |
Output |
SparseConditionalAccumulator.asOutput() |
Output |
SparseApplyRMSProp.asOutput() |
Output |
SparseApplyProximalGradientDescent.asOutput() |
Output |
SparseApplyProximalAdagrad.asOutput() |
Output |
SparseApplyMomentum.asOutput() |
Output |
SparseApplyFtrlV2.asOutput() |
Output |
SparseApplyFtrl.asOutput() |
Output |
SparseApplyCenteredRMSProp.asOutput() |
Output |
SparseApplyAdagradDA.asOutput() |
Output |
SparseApplyAdagrad.asOutput() |
Output |
SparseApplyAdadelta.asOutput() |
Output |
SpaceToDepth.asOutput() |
Output |
SpaceToBatchND.asOutput() |
Output |
SpaceToBatch.asOutput() |
Output |
SoftsignGrad.asOutput() |
Output |
Softsign.asOutput() |
Output |
SoftplusGrad.asOutput() |
Output |
Softplus.asOutput() |
Output |
Softmax.asOutput() |
Output |
Snapshot.asOutput() |
Output |
Slice.asOutput() |
Output |
Size.asOutput() |
Output |
Sinh.asOutput() |
Output |
Sin.asOutput() |
Output |
Sign.asOutput() |
Output |
Sigmoid.asOutput() |
Output |
ShardedFilespec.asOutput() |
Output |
ShardedFilename.asOutput() |
Output |
SerializeTensor.asOutput() |
Output |
SerializeSparse.asOutput() |
Output |
SerializeManySparse.asOutput() |
Output |
SeluGrad.asOutput() |
Output |
Selu.asOutput() |
Output |
SelectV2.asOutput() |
Output |
SegmentSum.asOutput() |
Output |
SegmentProd.asOutput() |
Output |
SegmentMin.asOutput() |
Output |
SegmentMean.asOutput() |
Output |
SegmentMax.asOutput() |
Output |
ScatterUpdate.asOutput() |
Output |
ScatterSub.asOutput() |
Output |
ScatterNdUpdate.asOutput() |
Output |
ScatterNdSub.asOutput() |
Output |
ScatterNdNonAliasingAdd.asOutput() |
Output |
ScatterNdAdd.asOutput() |
Output |
ScatterNd.asOutput() |
Output |
ScatterMul.asOutput() |
Output |
ScatterMin.asOutput() |
Output |
ScatterMax.asOutput() |
Output |
ScatterDiv.asOutput() |
Output |
ScatterAdd.asOutput() |
Output |
ScaleAndTranslate.asOutput() |
Output |
ScalarSummary.asOutput() |
Output |
Rsqrt.asOutput() |
Output |
Round.asOutput() |
Output |
Roll.asOutput() |
Output |
Rint.asOutput() |
Output |
RGBToHSV.asOutput() |
Output |
ReverseSequence.asOutput() |
Output |
Reverse.asOutput() |
Output |
RestoreSlice.asOutput() |
Output |
Restore.asOutput() |
Output |
ResourceCountUpTo.asOutput() |
Output |
ResizeNearestNeighbor.asOutput() |
Output |
ResizeBilinear.asOutput() |
Output |
ResizeBicubic.asOutput() |
Output |
ResizeArea.asOutput() |
Output |
Reshape.asOutput() |
Output |
ReluGrad.asOutput() |
Output |
Relu6Grad.asOutput() |
Output |
Relu6.asOutput() |
Output |
Relu.asOutput() |
Output |
RegexReplace.asOutput() |
Output |
RegexFullMatch.asOutput() |
Output |
RefSelect.asOutput() |
Output |
RefNextIteration.asOutput() |
Output |
ReduceJoin.asOutput() |
Output |
RecordInput.asOutput() |
Output |
Reciprocal.asOutput() |
Output |
RealDiv.asOutput() |
Output |
Real.asOutput() |
Output |
ReadFile.asOutput() |
Output |
ReaderSerializeState.asOutput() |
Output |
ReaderNumWorkUnitsCompleted.asOutput() |
Output |
ReaderNumRecordsProduced.asOutput() |
Output |
Rank.asOutput() |
Output |
Range.asOutput() |
Output |
RandomUniformInt.asOutput() |
Output |
RandomUniform.asOutput() |
Output |
RandomShuffleQueue.asOutput() |
Output |
RandomShuffle.asOutput() |
Output |
RandomPoissonV2.asOutput() |
Output |
RandomNormal.asOutput() |
Output |
RandomGamma.asOutput() |
Output |
QueueSize.asOutput() |
Output |
QueueIsClosedV2.asOutput() |
Output |
QueueIsClosed.asOutput() |
Output |
QuantizeAndDequantizeV3.asOutput() |
Output |
QuantizeAndDequantizeV2.asOutput() |
Output |
Prod.asOutput() |
Output |
PriorityQueue.asOutput() |
Output |
Print.asOutput() |
Output |
PreventGradient.asOutput() |
Output |
Pow.asOutput() |
Output |
Polygamma.asOutput() |
Output |
PlaceholderWithDefault.asOutput() |
Output |
Placeholder.asOutput() |
Output |
ParseTensor.asOutput() |
Output |
ParameterizedTruncatedNormal.asOutput() |
Output |
ParallelDynamicStitch.asOutput() |
Output |
ParallelConcat.asOutput() |
Output |
PadV2.asOutput() |
Output |
PaddingFIFOQueue.asOutput() |
Output |
Pad.asOutput() |
Output |
OrderedMapSize.asOutput() |
Output |
OrderedMapIncompleteSize.asOutput() |
Output |
OnesLike.asOutput() |
Output |
OneHot.asOutput() |
Output |
NthElement.asOutput() |
Output |
NotEqual.asOutput() |
Output |
NonMaxSuppressionWithOverlaps.asOutput() |
Output |
NonMaxSuppressionV3.asOutput() |
Output |
NonMaxSuppressionV2.asOutput() |
Output |
NonMaxSuppression.asOutput() |
Output |
NextIteration.asOutput() |
Output |
NextAfter.asOutput() |
Output |
Negate.asOutput() |
Output |
MutableHashTableOfTensors.asOutput() |
Output |
MutableHashTable.asOutput() |
Output |
MutableDenseHashTable.asOutput() |
Output |
Multiply.asOutput() |
Output |
Multinomial.asOutput() |
Output |
MulNoNan.asOutput() |
Output |
Mod.asOutput() |
Output |
MirrorPad.asOutput() |
Output |
Minimum.asOutput() |
Output |
Min.asOutput() |
Output |
Mfcc.asOutput() |
Output |
MergeSummary.asOutput() |
Output |
Mean.asOutput() |
Output |
MaxPoolV2.asOutput() |
Output |
MaxPoolGradWithArgmax.asOutput() |
Output |
MaxPoolGradV2.asOutput() |
Output |
MaxPoolGradGradWithArgmax.asOutput() |
Output |
MaxPoolGradGradV2.asOutput() |
Output |
MaxPoolGradGrad.asOutput() |
Output |
MaxPoolGrad.asOutput() |
Output |
MaxPool3DGradGrad.asOutput() |
Output |
MaxPool3DGrad.asOutput() |
Output |
MaxPool3D.asOutput() |
Output |
MaxPool.asOutput() |
Output |
Maximum.asOutput() |
Output |
Max.asOutput() |
Output |
MatrixTriangularSolve.asOutput() |
Output |
MatrixSquareRoot.asOutput() |
Output |
MatrixSolveLs.asOutput() |
Output |
MatrixSolve.asOutput() |
Output |
MatrixSetDiagV2.asOutput() |
Output |
MatrixSetDiag.asOutput() |
Output |
MatrixInverse.asOutput() |
Output |
MatrixDiagV2.asOutput() |
Output |
MatrixDiagPartV2.asOutput() |
Output |
MatrixDiagPart.asOutput() |
Output |
MatrixDiag.asOutput() |
Output |
MatrixDeterminant.asOutput() |
Output |
MatrixBandPart.asOutput() |
Output |
MatMul.asOutput() |
Output |
MatchingFiles.asOutput() |
Output |
MapSize.asOutput() |
Output |
MapIncompleteSize.asOutput() |
Output |
LRNGrad.asOutput() |
Output |
LRN.asOutput() |
Output |
LoopCond.asOutput() |
Output |
LookupTableSize.asOutput() |
Output |
LookupTableFind.asOutput() |
Output |
LogSoftmax.asOutput() |
Output |
LogicalOr.asOutput() |
Output |
LogicalNot.asOutput() |
Output |
LogicalAnd.asOutput() |
Output |
Log1p.asOutput() |
Output |
Log.asOutput() |
Output |
LMDBReader.asOutput() |
Output |
LinSpace.asOutput() |
Output |
Lgamma.asOutput() |
Output |
LessEqual.asOutput() |
Output |
Less.asOutput() |
Output |
LeakyReluGrad.asOutput() |
Output |
LeakyRelu.asOutput() |
Output |
L2Loss.asOutput() |
Output |
IsVariableInitialized.asOutput() |
Output |
IsNan.asOutput() |
Output |
IsInf.asOutput() |
Output |
IsFinite.asOutput() |
Output |
InvertPermutation.asOutput() |
Output |
Inv.asOutput() |
Output |
InTopKV2.asOutput() |
Output |
InTopK.asOutput() |
Output |
InplaceUpdate.asOutput() |
Output |
InplaceSub.asOutput() |
Output |
InplaceAdd.asOutput() |
Output |
ImmutableConst.asOutput() |
Output |
ImageSummary.asOutput() |
Output |
Imag.asOutput() |
Output |
Igammac.asOutput() |
Output |
Igamma.asOutput() |
Output |
IdentityReader.asOutput() |
Output |
Identity.asOutput() |
Output |
HSVToRGB.asOutput() |
Output |
HistogramSummary.asOutput() |
Output |
HistogramFixedWidth.asOutput() |
Output |
HashTable.asOutput() |
Output |
GuaranteeConst.asOutput() |
Output |
GreaterEqual.asOutput() |
Output |
Greater.asOutput() |
Output |
GetSessionTensor.asOutput() |
Output |
GetSessionHandleV2.asOutput() |
Output |
GetSessionHandle.asOutput() |
Output |
GatherV2.asOutput() |
Output |
GatherNd.asOutput() |
Output |
Gather.asOutput() |
Output |
FusedResizeAndPadConv2D.asOutput() |
Output |
FusedPadConv2D.asOutput() |
Output |
FractionalMaxPoolGrad.asOutput() |
Output |
FractionalAvgPoolGrad.asOutput() |
Output |
FloorMod.asOutput() |
Output |
FloorDiv.asOutput() |
Output |
Floor.asOutput() |
Output |
FixedLengthRecordReader.asOutput() |
Output |
Fingerprint.asOutput() |
Output |
Fill.asOutput() |
Output |
FIFOQueue.asOutput() |
Output |
FakeQuantWithMinMaxVarsPerChannel.asOutput() |
Output |
FakeQuantWithMinMaxVars.asOutput() |
Output |
FakeQuantWithMinMaxArgsGradient.asOutput() |
Output |
FakeQuantWithMinMaxArgs.asOutput() |
Output |
Fact.asOutput() |
Output |
ExtractVolumePatches.asOutput() |
Output |
ExtractJpegShape.asOutput() |
Output |
ExtractImagePatches.asOutput() |
Output |
ExtractGlimpse.asOutput() |
Output |
Expm1.asOutput() |
Output |
ExpandDims.asOutput() |
Output |
Exp.asOutput() |
Output |
EuclideanNorm.asOutput() |
Output |
Erfc.asOutput() |
Output |
Erf.asOutput() |
Output |
Equal.asOutput() |
Output |
EnsureShape.asOutput() |
Output |
EncodeWav.asOutput() |
Output |
EncodePng.asOutput() |
Output |
EncodeJpegVariableQuality.asOutput() |
Output |
EncodeJpeg.asOutput() |
Output |
EncodeBase64.asOutput() |
Output |
EmptyTensorList.asOutput() |
Output |
Empty.asOutput() |
Output |
EluGrad.asOutput() |
Output |
Elu.asOutput() |
Output |
Einsum.asOutput() |
Output |
EditDistance.asOutput() |
Output |
DynamicStitch.asOutput() |
Output |
DrawBoundingBoxesV2.asOutput() |
Output |
DrawBoundingBoxes.asOutput() |
Output |
DivNoNan.asOutput() |
Output |
Div.asOutput() |
Output |
Dilation2DBackpropInput.asOutput() |
Output |
Dilation2DBackpropFilter.asOutput() |
Output |
Dilation2D.asOutput() |
Output |
Digamma.asOutput() |
Output |
DiagPart.asOutput() |
Output |
Diag.asOutput() |
Output |
DestroyTemporaryVariable.asOutput() |
Output |
Dequantize.asOutput() |
Output |
DepthwiseConv2dNativeBackpropInput.asOutput() |
Output |
DepthwiseConv2dNativeBackpropFilter.asOutput() |
Output |
DepthwiseConv2dNative.asOutput() |
Output |
DepthToSpace.asOutput() |
Output |
DeepCopy.asOutput() |
Output |
DecodeRaw.asOutput() |
Output |
DecodePng.asOutput() |
Output |
DecodePaddedRaw.asOutput() |
Output |
DecodeJSONExample.asOutput() |
Output |
DecodeJpeg.asOutput() |
Output |
DecodeGif.asOutput() |
Output |
DecodeCompressed.asOutput() |
Output |
DecodeBmp.asOutput() |
Output |
DecodeBase64.asOutput() |
Output |
DecodeAndCropJpeg.asOutput() |
Output |
DebugGradientRefIdentity.asOutput() |
Output |
DebugGradientIdentity.asOutput() |
Output |
DataFormatVecPermute.asOutput() |
Output |
DataFormatDimMap.asOutput() |
Output |
Cumsum.asOutput() |
Output |
Cumprod.asOutput() |
Output |
Cross.asOutput() |
Output |
CropAndResizeGradImage.asOutput() |
Output |
CropAndResizeGradBoxes.asOutput() |
Output |
CropAndResize.asOutput() |
Output |
CountUpTo.asOutput() |
Output |
Cosh.asOutput() |
Output |
Cos.asOutput() |
Output |
Conv3DBackpropInputV2.asOutput() |
Output |
Conv3DBackpropFilterV2.asOutput() |
Output |
Conv3D.asOutput() |
Output |
Conv2DBackpropInput.asOutput() |
Output |
Conv2DBackpropFilter.asOutput() |
Output |
Conv2D.asOutput() |
Output |
ConjugateTranspose.asOutput() |
Output |
Conj.asOutput() |
Output |
ConditionalAccumulator.asOutput() |
Output |
Concat.asOutput() |
Output |
ComplexAbs.asOutput() |
Output |
Complex.asOutput() |
Output |
CompareAndBitpack.asOutput() |
Output |
ClipByValue.asOutput() |
Output |
CholeskyGrad.asOutput() |
Output |
Cholesky.asOutput() |
Output |
CheckNumerics.asOutput() |
Output |
Ceil.asOutput() |
Output |
CastOp.asOutput() |
Output |
Bucketize.asOutput() |
Output |
BroadcastTo.asOutput() |
Output |
BroadcastDynamicShape.asOutput() |
Output |
Bitcast.asOutput() |
Output |
Bincount.asOutput() |
Output |
BiasAddGrad.asOutput() |
Output |
BiasAdd.asOutput() |
Output |
Betainc.asOutput() |
Output |
BesselI1e.asOutput() |
Output |
BesselI0e.asOutput() |
Output |
BatchToSpaceND.asOutput() |
Output |
BatchToSpace.asOutput() |
Output |
BatchMatMulV2.asOutput() |
Output |
BatchMatMul.asOutput() |
Output |
BarrierReadySize.asOutput() |
Output |
BarrierIncompleteSize.asOutput() |
Output |
Barrier.asOutput() |
Output |
AvgPoolGrad.asOutput() |
Output |
AvgPool3DGrad.asOutput() |
Output |
AvgPool3D.asOutput() |
Output |
AvgPool.asOutput() |
Output |
AudioSummary.asOutput() |
Output |
AudioSpectrogram.asOutput() |
Output |
Atanh.asOutput() |
Output |
Atan2.asOutput() |
Output |
Atan.asOutput() |
Output |
AsString.asOutput() |
Output |
AssignSub.asOutput() |
Output |
AssignAdd.asOutput() |
Output |
Assign.asOutput() |
Output |
Asinh.asOutput() |
Output |
Asin.asOutput() |
Output |
ArgMin.asOutput() |
Output |
ArgMax.asOutput() |
Output |
ApproximateEqual.asOutput() |
Output |
ApplyRMSProp.asOutput() |
Output |
ApplyProximalGradientDescent.asOutput() |
Output |
ApplyProximalAdagrad.asOutput() |
Output |
ApplyPowerSign.asOutput() |
Output |
ApplyMomentum.asOutput() |
Output |
ApplyGradientDescent.asOutput() |
Output |
ApplyFtrlV2.asOutput() |
Output |
ApplyFtrl.asOutput() |
Output |
ApplyCenteredRMSProp.asOutput() |
Output |
ApplyAddSign.asOutput() |
Output |
ApplyAdam.asOutput() |
Output |
ApplyAdagradDA.asOutput() |
Output |
ApplyAdagrad.asOutput() |
Output |
ApplyAdadelta.asOutput() |
Output |
Any.asOutput() |
Output |
Angle.asOutput() |
Output |
All.asOutput() |
Output |
AdjustSaturation.asOutput() |
Output |
AdjustHue.asOutput() |
Output |
AdjustContrast.asOutput() |
Output |
AddV2.asOutput() |
Output |
AddSparseToTensorsMap.asOutput() |
Output |
AddN.asOutput() |
Output |
AddManySparseToTensorsMap.asOutput() |
Output |
Add.asOutput() |
Output |
Acosh.asOutput() |
Output |
Acos.asOutput() |
Output |
AccumulatorTakeGradient.asOutput() |
Output |
AccumulatorNumAccumulated.asOutput() |
Output |
AccumulateNV2.asOutput() |
Output |
Abs.asOutput() |
Output |
DecodeWav.audio() |
Output |
DecodeWav.audio() |
Output |
AccumulatorTakeGradient.average() |
Output |
AccumulatorTakeGradient.average() |
Output |
SparseAddGrad.b_val_grad() |
Output |
SparseAddGrad.b_val_grad() |
Output |
FakeQuantWithMinMaxVarsGradient.backprop_wrt_max() |
Output |
FakeQuantWithMinMaxVarsPerChannelGradient.backprop_wrt_max() |
Output |
FakeQuantWithMinMaxVarsPerChannelGradient.backprop_wrt_max() |
Output |
FakeQuantWithMinMaxVarsGradient.backprop_wrt_max() |
Output |
FakeQuantWithMinMaxVarsGradient.backprop_wrt_min() |
Output |
FakeQuantWithMinMaxVarsPerChannelGradient.backprop_wrt_min() |
Output |
FakeQuantWithMinMaxVarsPerChannelGradient.backprop_wrt_min() |
Output |
FakeQuantWithMinMaxVarsGradient.backprop_wrt_min() |
Output |
SoftmaxCrossEntropyWithLogits.backprop() |
Output |
SparseSoftmaxCrossEntropyWithLogits.backprop() |
Output |
SparseSoftmaxCrossEntropyWithLogits.backprop() |
Output |
SoftmaxCrossEntropyWithLogits.backprop() |
Output |
FakeQuantWithMinMaxVarsGradient.backprops_wrt_input() |
Output |
FakeQuantWithMinMaxVarsPerChannelGradient.backprops_wrt_input() |
Output |
FakeQuantWithMinMaxVarsPerChannelGradient.backprops_wrt_input() |
Output |
FakeQuantWithMinMaxVarsGradient.backprops_wrt_input() |
Output |
EluGrad.backprops() |
Output |
FakeQuantWithMinMaxArgsGradient.backprops() |
Output |
LeakyReluGrad.backprops() |
Output |
Relu6Grad.backprops() |
Output |
ReluGrad.backprops() |
Output |
SeluGrad.backprops() |
Output |
SoftplusGrad.backprops() |
Output |
SoftsignGrad.backprops() |
Output |
SoftsignGrad.backprops() |
Output |
SoftplusGrad.backprops() |
Output |
SeluGrad.backprops() |
Output |
ReluGrad.backprops() |
Output |
Relu6Grad.backprops() |
Output |
LeakyReluGrad.backprops() |
Output |
FakeQuantWithMinMaxArgsGradient.backprops() |
Output |
EluGrad.backprops() |
Output |
MatrixBandPart.band() |
Output |
MatrixBandPart.band() |
Output |
FusedBatchNorm.batch_mean() |
Output |
FusedBatchNormV2.batch_mean() |
Output |
FusedBatchNormV3.batch_mean() |
Output |
FusedBatchNormV3.batch_mean() |
Output |
FusedBatchNormV2.batch_mean() |
Output |
FusedBatchNorm.batch_mean() |
Output |
FusedBatchNorm.batch_variance() |
Output |
FusedBatchNormV2.batch_variance() |
Output |
FusedBatchNormV3.batch_variance() |
Output |
FusedBatchNormV3.batch_variance() |
Output |
FusedBatchNormV2.batch_variance() |
Output |
FusedBatchNorm.batch_variance() |
Output |
SampleDistortedBoundingBox.bboxes() |
Output |
SampleDistortedBoundingBoxV2.bboxes() |
Output |
SampleDistortedBoundingBoxV2.bboxes() |
Output |
SampleDistortedBoundingBox.bboxes() |
Output |
SampleDistortedBoundingBox.begin() |
Output |
SampleDistortedBoundingBoxV2.begin() |
Output |
SampleDistortedBoundingBoxV2.begin() |
Output |
SampleDistortedBoundingBox.begin() |
Output |
DecodeJSONExample.binary_examples() |
Output |
DecodeJSONExample.binary_examples() |
Output |
Bincount.bins() |
Output |
Bincount.bins() |
Output |
FractionalAvgPool.col_pooling_sequence() |
Output |
FractionalMaxPool.col_pooling_sequence() |
Output |
FractionalMaxPool.col_pooling_sequence() |
Output |
FractionalAvgPool.col_pooling_sequence() |
Output |
EncodeJpeg.contents() |
Output |
EncodeJpegVariableQuality.contents() |
Output |
EncodePng.contents() |
Output |
EncodeWav.contents() |
Output |
ReadFile.contents() |
Output |
ReadFile.contents() |
Output |
EncodeWav.contents() |
Output |
EncodePng.contents() |
Output |
EncodeJpegVariableQuality.contents() |
Output |
EncodeJpeg.contents() |
Output |
UniqueWithCounts.count() |
Output |
UniqueWithCountsV2.count() |
Output |
UniqueWithCountsV2.count() |
Output |
UniqueWithCounts.count() |
Output |
CropAndResize.crops() |
Output |
CropAndResize.crops() |
Output |
SparseFillEmptyRowsGrad.d_default_value() |
Output |
SparseFillEmptyRowsGrad.d_default_value() |
Output |
SparseFillEmptyRowsGrad.d_values() |
Output |
SparseFillEmptyRowsGrad.d_values() |
Output |
SparseToDense.dense() |
Output |
SparseToDense.dense() |
Output |
DiagPart.diagonal() |
Output |
MatrixDiagPart.diagonal() |
Output |
MatrixDiagPartV2.diagonal() |
Output |
MatrixDiagPartV2.diagonal() |
Output |
MatrixDiagPart.diagonal() |
Output |
DiagPart.diagonal() |
Output |
SelfAdjointEig.e() |
Output |
SelfAdjointEig.e() |
Output |
TensorListElementShape.element_shape() |
Output |
TensorListElementShape.element_shape() |
Output |
SparseFillEmptyRows.empty_row_indicator() |
Output |
SparseFillEmptyRows.empty_row_indicator() |
Output |
Fact.fact() |
Output |
Fact.fact() |
Output |
ShardedFilename.filename() |
Output |
ShardedFilespec.filename() |
Output |
ShardedFilespec.filename() |
Output |
ShardedFilename.filename() |
Output |
MatchingFiles.filenames() |
Output |
MatchingFiles.filenames() |
Output |
Dilation2DBackpropFilter.filter_backprop() |
Output |
Dilation2DBackpropFilter.filter_backprop() |
Output |
Fingerprint.fingerprint() |
Output |
Fingerprint.fingerprint() |
Output |
TensorArrayGrad.flow_out() |
Output |
TensorArrayGradWithShape.flow_out() |
Output |
TensorArrayScatter.flow_out() |
Output |
TensorArraySplit.flow_out() |
Output |
TensorArrayWrite.flow_out() |
Output |
TensorArrayWrite.flow_out() |
Output |
TensorArraySplit.flow_out() |
Output |
TensorArrayScatter.flow_out() |
Output |
TensorArrayGradWithShape.flow_out() |
Output |
TensorArrayGrad.flow_out() |
Output |
TensorArray.flow() |
Output |
TensorArray.flow() |
Output[] |
OutputVector.get() |
Output |
OutputVector.Iterator.get() |
Output[] |
OutputVector.get() |
Output |
OutputVector.Iterator.get() |
Output |
DecodeCSV.get(long index) |
Output |
DynamicPartition.get(long index) |
Output |
IdentityN.get(long index) |
Output |
MapPeek.get(long index) |
Output |
MapUnstage.get(long index) |
Output |
OrderedMapPeek.get(long index) |
Output |
OrderedMapUnstage.get(long index) |
Output |
OutputVector.get(long i) |
Output |
QueueDequeue.get(long index) |
Output |
QueueDequeueMany.get(long index) |
Output |
QueueDequeueUpTo.get(long index) |
Output |
RestoreV2.get(long index) |
Output |
ShapeN.get(long index) |
Output |
Split.get(long index) |
Output |
SplitV.get(long index) |
Output |
StagePeek.get(long index) |
Output |
Unstack.get(long index) |
Output |
Unstage.get(long index) |
Output |
Unstage.get(long index) |
Output |
Unstack.get(long index) |
Output |
StagePeek.get(long index) |
Output |
SplitV.get(long index) |
Output |
Split.get(long index) |
Output |
ShapeN.get(long index) |
Output |
RestoreV2.get(long index) |
Output |
QueueDequeueUpTo.get(long index) |
Output |
QueueDequeueMany.get(long index) |
Output |
QueueDequeue.get(long index) |
Output |
OutputVector.get(long i) |
Output |
OrderedMapUnstage.get(long index) |
Output |
OrderedMapPeek.get(long index) |
Output |
MapUnstage.get(long index) |
Output |
MapPeek.get(long index) |
Output |
IdentityN.get(long index) |
Output |
DynamicPartition.get(long index) |
Output |
DecodeCSV.get(long index) |
Output |
Output.getPointer(long i) |
Output |
Output.getPointer(long i) |
Output |
ExtractGlimpse.glimpse() |
Output |
ExtractGlimpse.glimpse() |
Output |
TensorArrayGrad.grad_handle() |
Output |
TensorArrayGradWithShape.grad_handle() |
Output |
TensorArrayGradWithShape.grad_handle() |
Output |
TensorArrayGrad.grad_handle() |
Output |
Barrier.handle() |
Output |
ConditionalAccumulator.handle() |
Output |
EmptyTensorList.handle() |
Output |
FIFOQueue.handle() |
Output |
GetSessionHandle.handle() |
Output |
GetSessionHandleV2.handle() |
Output |
PaddingFIFOQueue.handle() |
Output |
PriorityQueue.handle() |
Output |
RandomShuffleQueue.handle() |
Output |
SparseConditionalAccumulator.handle() |
Output |
TensorArray.handle() |
Output |
TensorListReserve.handle() |
Output |
TensorListReserve.handle() |
Output |
TensorArray.handle() |
Output |
SparseConditionalAccumulator.handle() |
Output |
RandomShuffleQueue.handle() |
Output |
PriorityQueue.handle() |
Output |
PaddingFIFOQueue.handle() |
Output |
GetSessionHandleV2.handle() |
Output |
GetSessionHandle.handle() |
Output |
FIFOQueue.handle() |
Output |
EmptyTensorList.handle() |
Output |
ConditionalAccumulator.handle() |
Output |
Barrier.handle() |
Output |
ComputeAccidentalHits.ids() |
Output |
ComputeAccidentalHits.ids() |
Output |
SetDiff1D.idx() |
Output |
Unique.idx() |
Output |
UniqueV2.idx() |
Output |
UniqueWithCounts.idx() |
Output |
UniqueWithCountsV2.idx() |
Output |
UniqueWithCountsV2.idx() |
Output |
UniqueWithCounts.idx() |
Output |
UniqueV2.idx() |
Output |
Unique.idx() |
Output |
SetDiff1D.idx() |
Output |
ExtractJpegShape.image_shape() |
Output |
ExtractJpegShape.image_shape() |
Output |
DecodeAndCropJpeg.image() |
Output |
DecodeBmp.image() |
Output |
DecodeGif.image() |
Output |
DecodeJpeg.image() |
Output |
DecodePng.image() |
Output |
DecodePng.image() |
Output |
DecodeJpeg.image() |
Output |
DecodeGif.image() |
Output |
DecodeBmp.image() |
Output |
DecodeAndCropJpeg.image() |
Output |
Dilation2DBackpropInput.in_backprop() |
Output |
Dilation2DBackpropInput.in_backprop() |
Output |
Where.index() |
Output |
Where.index() |
Output |
BarrierTakeMany.indices() |
Output |
ComputeAccidentalHits.indices() |
Output |
SparseAccumulatorTakeGradient.indices() |
Output |
StringSplit.indices() |
Output |
StringSplitV2.indices() |
Output |
TopK.indices() |
Output |
TopK.indices() |
Output |
StringSplitV2.indices() |
Output |
StringSplit.indices() |
Output |
SparseAccumulatorTakeGradient.indices() |
Output |
ComputeAccidentalHits.indices() |
Output |
BarrierTakeMany.indices() |
Output |
Operation.input(int i) |
Output |
Operation.input(int i) |
Output |
QueueIsClosed.is_closed() |
Output |
QueueIsClosedV2.is_closed() |
Output |
QueueIsClosedV2.is_closed() |
Output |
QueueIsClosed.is_closed() |
Output |
IsVariableInitialized.is_initialized() |
Output |
IsVariableInitialized.is_initialized() |
Output |
TensorListGetItem.item() |
Output |
TensorListGetItem.item() |
Output |
MapUnstageNoKey.key() |
Output |
OrderedMapUnstageNoKey.key() |
Output |
ReaderRead.key() |
Output |
ReaderRead.key() |
Output |
OrderedMapUnstageNoKey.key() |
Output |
MapUnstageNoKey.key() |
Output |
BarrierTakeMany.keys() |
Output |
LookupTableExport.keys() |
Output |
ReaderReadUpTo.keys() |
Output |
ReaderReadUpTo.keys() |
Output |
LookupTableExport.keys() |
Output |
BarrierTakeMany.keys() |
Output |
TensorListLength.length() |
Output |
TensorListLength.length() |
Output |
TensorArrayConcat.lengths() |
Output |
TensorListConcat.lengths() |
Output |
TensorListConcatV2.lengths() |
Output |
TensorListConcatV2.lengths() |
Output |
TensorListConcat.lengths() |
Output |
TensorArrayConcat.lengths() |
Output |
LogMatrixDeterminant.log_abs_determinant() |
Output |
LogMatrixDeterminant.log_abs_determinant() |
Output |
LogSoftmax.logsoftmax() |
Output |
LogSoftmax.logsoftmax() |
Output |
SoftmaxCrossEntropyWithLogits.loss() |
Output |
SparseSoftmaxCrossEntropyWithLogits.loss() |
Output |
SparseSoftmaxCrossEntropyWithLogits.loss() |
Output |
SoftmaxCrossEntropyWithLogits.loss() |
Output |
Lu.lu() |
Output |
Lu.lu() |
Output |
QuantizedRelu.max_activations() |
Output |
QuantizedRelu6.max_activations() |
Output |
QuantizedReluX.max_activations() |
Output |
QuantizedReluX.max_activations() |
Output |
QuantizedRelu6.max_activations() |
Output |
QuantizedRelu.max_activations() |
Output |
QuantizedBiasAdd.max_out() |
Output |
QuantizedMatMul.max_out() |
Output |
QuantizedMatMulWithBias.max_out() |
Output |
QuantizedMatMulWithBiasAndRelu.max_out() |
Output |
QuantizedMatMulWithBiasAndReluAndRequantize.max_out() |
Output |
QuantizedMatMulWithBiasAndReluAndRequantize.max_out() |
Output |
QuantizedMatMulWithBiasAndRelu.max_out() |
Output |
QuantizedMatMulWithBias.max_out() |
Output |
QuantizedMatMul.max_out() |
Output |
QuantizedBiasAdd.max_out() |
Output |
QuantizedAvgPool.max_output() |
Output |
QuantizedConv2D.max_output() |
Output |
QuantizedConv2DAndRelu.max_output() |
Output |
QuantizedConv2DAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DAndRequantize.max_output() |
Output |
QuantizedConv2DPerChannel.max_output() |
Output |
QuantizedConv2DWithBias.max_output() |
Output |
QuantizedConv2DWithBiasAndRelu.max_output() |
Output |
QuantizedConv2DWithBiasAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasSumAndRelu.max_output() |
Output |
QuantizedConv2DWithBiasSumAndReluAndRequantize.max_output() |
Output |
QuantizedDepthwiseConv2D.max_output() |
Output |
QuantizedDepthwiseConv2DWithBias.max_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndRelu.max_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.max_output() |
Output |
QuantizedMaxPool.max_output() |
Output |
QuantizedMaxPool.max_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.max_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndRelu.max_output() |
Output |
QuantizedDepthwiseConv2DWithBias.max_output() |
Output |
QuantizedDepthwiseConv2D.max_output() |
Output |
QuantizedConv2DWithBiasSumAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasSumAndRelu.max_output() |
Output |
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DWithBiasAndRelu.max_output() |
Output |
QuantizedConv2DWithBias.max_output() |
Output |
QuantizedConv2DPerChannel.max_output() |
Output |
QuantizedConv2DAndRequantize.max_output() |
Output |
QuantizedConv2DAndReluAndRequantize.max_output() |
Output |
QuantizedConv2DAndRelu.max_output() |
Output |
QuantizedConv2D.max_output() |
Output |
QuantizedAvgPool.max_output() |
Output |
QuantizedAdd.max_z() |
Output |
QuantizedMul.max_z() |
Output |
QuantizedMul.max_z() |
Output |
QuantizedAdd.max_z() |
Output |
DynamicStitch.merged() |
Output |
ParallelDynamicStitch.merged() |
Output |
ParallelDynamicStitch.merged() |
Output |
DynamicStitch.merged() |
Output |
QuantizedRelu.min_activations() |
Output |
QuantizedRelu6.min_activations() |
Output |
QuantizedReluX.min_activations() |
Output |
QuantizedReluX.min_activations() |
Output |
QuantizedRelu6.min_activations() |
Output |
QuantizedRelu.min_activations() |
Output |
QuantizedBiasAdd.min_out() |
Output |
QuantizedMatMul.min_out() |
Output |
QuantizedMatMulWithBias.min_out() |
Output |
QuantizedMatMulWithBiasAndRelu.min_out() |
Output |
QuantizedMatMulWithBiasAndReluAndRequantize.min_out() |
Output |
QuantizedMatMulWithBiasAndReluAndRequantize.min_out() |
Output |
QuantizedMatMulWithBiasAndRelu.min_out() |
Output |
QuantizedMatMulWithBias.min_out() |
Output |
QuantizedMatMul.min_out() |
Output |
QuantizedBiasAdd.min_out() |
Output |
QuantizedAvgPool.min_output() |
Output |
QuantizedConv2D.min_output() |
Output |
QuantizedConv2DAndRelu.min_output() |
Output |
QuantizedConv2DAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DAndRequantize.min_output() |
Output |
QuantizedConv2DPerChannel.min_output() |
Output |
QuantizedConv2DWithBias.min_output() |
Output |
QuantizedConv2DWithBiasAndRelu.min_output() |
Output |
QuantizedConv2DWithBiasAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasSumAndRelu.min_output() |
Output |
QuantizedConv2DWithBiasSumAndReluAndRequantize.min_output() |
Output |
QuantizedDepthwiseConv2D.min_output() |
Output |
QuantizedDepthwiseConv2DWithBias.min_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndRelu.min_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.min_output() |
Output |
QuantizedMaxPool.min_output() |
Output |
QuantizedMaxPool.min_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.min_output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndRelu.min_output() |
Output |
QuantizedDepthwiseConv2DWithBias.min_output() |
Output |
QuantizedDepthwiseConv2D.min_output() |
Output |
QuantizedConv2DWithBiasSumAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasSumAndRelu.min_output() |
Output |
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DWithBiasAndRelu.min_output() |
Output |
QuantizedConv2DWithBias.min_output() |
Output |
QuantizedConv2DPerChannel.min_output() |
Output |
QuantizedConv2DAndRequantize.min_output() |
Output |
QuantizedConv2DAndReluAndRequantize.min_output() |
Output |
QuantizedConv2DAndRelu.min_output() |
Output |
QuantizedConv2D.min_output() |
Output |
QuantizedAvgPool.min_output() |
Output |
QuantizedAdd.min_z() |
Output |
QuantizedMul.min_z() |
Output |
QuantizedMul.min_z() |
Output |
QuantizedAdd.min_z() |
Output |
StringNGrams.ngrams_splits() |
Output |
StringNGrams.ngrams_splits() |
Output |
StringNGrams.ngrams() |
Output |
StringNGrams.ngrams() |
Output |
CombinedNonMaxSuppression.nmsed_boxes() |
Output |
CombinedNonMaxSuppression.nmsed_boxes() |
Output |
CombinedNonMaxSuppression.nmsed_classes() |
Output |
CombinedNonMaxSuppression.nmsed_classes() |
Output |
CombinedNonMaxSuppression.nmsed_scores() |
Output |
CombinedNonMaxSuppression.nmsed_scores() |
Output |
AccumulatorNumAccumulated.num_accumulated() |
Output |
AccumulatorNumAccumulated.num_accumulated() |
Output |
FusedBatchNormGrad.offset_backprop() |
Output |
FusedBatchNormGradV2.offset_backprop() |
Output |
FusedBatchNormGradV3.offset_backprop() |
Output |
FusedBatchNormGradV3.offset_backprop() |
Output |
FusedBatchNormGradV2.offset_backprop() |
Output |
FusedBatchNormGrad.offset_backprop() |
Output |
QuantizedResizeBilinear.out_max() |
Output |
QuantizedResizeBilinear.out_max() |
Output |
QuantizedResizeBilinear.out_min() |
Output |
QuantizedResizeBilinear.out_min() |
Output |
ApplyAdadelta.out() |
Output |
ApplyAdagrad.out() |
Output |
ApplyAdagradDA.out() |
Output |
ApplyAdam.out() |
Output |
ApplyAddSign.out() |
Output |
ApplyCenteredRMSProp.out() |
Output |
ApplyFtrl.out() |
Output |
ApplyFtrlV2.out() |
Output |
ApplyGradientDescent.out() |
Output |
ApplyMomentum.out() |
Output |
ApplyPowerSign.out() |
Output |
ApplyProximalAdagrad.out() |
Output |
ApplyProximalGradientDescent.out() |
Output |
ApplyRMSProp.out() |
Output |
Complex.out() |
Output |
Cumprod.out() |
Output |
Cumsum.out() |
Output |
HistogramFixedWidth.out() |
Output |
QuantizedMatMul.out() |
Output |
QuantizedMatMulWithBias.out() |
Output |
QuantizedMatMulWithBiasAndRelu.out() |
Output |
QuantizedMatMulWithBiasAndReluAndRequantize.out() |
Output |
SetDiff1D.out() |
Output |
SparseApplyAdadelta.out() |
Output |
SparseApplyAdagrad.out() |
Output |
SparseApplyAdagradDA.out() |
Output |
SparseApplyCenteredRMSProp.out() |
Output |
SparseApplyFtrl.out() |
Output |
SparseApplyFtrlV2.out() |
Output |
SparseApplyMomentum.out() |
Output |
SparseApplyProximalAdagrad.out() |
Output |
SparseApplyProximalGradientDescent.out() |
Output |
SparseApplyRMSProp.out() |
Output |
SparseApplyRMSProp.out() |
Output |
SparseApplyProximalGradientDescent.out() |
Output |
SparseApplyProximalAdagrad.out() |
Output |
SparseApplyMomentum.out() |
Output |
SparseApplyFtrlV2.out() |
Output |
SparseApplyFtrl.out() |
Output |
SparseApplyCenteredRMSProp.out() |
Output |
SparseApplyAdagradDA.out() |
Output |
SparseApplyAdagrad.out() |
Output |
SparseApplyAdadelta.out() |
Output |
SetDiff1D.out() |
Output |
QuantizedMatMulWithBiasAndReluAndRequantize.out() |
Output |
QuantizedMatMulWithBiasAndRelu.out() |
Output |
QuantizedMatMulWithBias.out() |
Output |
QuantizedMatMul.out() |
Output |
HistogramFixedWidth.out() |
Output |
Cumsum.out() |
Output |
Cumprod.out() |
Output |
Complex.out() |
Output |
ApplyRMSProp.out() |
Output |
ApplyProximalGradientDescent.out() |
Output |
ApplyProximalAdagrad.out() |
Output |
ApplyPowerSign.out() |
Output |
ApplyMomentum.out() |
Output |
ApplyGradientDescent.out() |
Output |
ApplyFtrlV2.out() |
Output |
ApplyFtrl.out() |
Output |
ApplyCenteredRMSProp.out() |
Output |
ApplyAddSign.out() |
Output |
ApplyAdam.out() |
Output |
ApplyAdagradDA.out() |
Output |
ApplyAdagrad.out() |
Output |
ApplyAdadelta.out() |
Output |
RefSwitch.output_false() |
Output |
Switch.output_false() |
Output |
Switch.output_false() |
Output |
RefSwitch.output_false() |
Output |
TensorListFromTensor.output_handle() |
Output |
TensorListPopBack.output_handle() |
Output |
TensorListPushBack.output_handle() |
Output |
TensorListResize.output_handle() |
Output |
TensorListScatter.output_handle() |
Output |
TensorListScatterIntoExistingList.output_handle() |
Output |
TensorListScatterV2.output_handle() |
Output |
TensorListSetItem.output_handle() |
Output |
TensorListSplit.output_handle() |
Output |
TensorListSplit.output_handle() |
Output |
TensorListSetItem.output_handle() |
Output |
TensorListScatterV2.output_handle() |
Output |
TensorListScatterIntoExistingList.output_handle() |
Output |
TensorListScatter.output_handle() |
Output |
TensorListResize.output_handle() |
Output |
TensorListPushBack.output_handle() |
Output |
TensorListPopBack.output_handle() |
Output |
TensorListFromTensor.output_handle() |
Output |
TensorListPushBackBatch.output_handles() |
Output |
TensorListPushBackBatch.output_handles() |
Output |
SparseConcat.output_indices() |
Output |
SparseCross.output_indices() |
Output |
SparseFillEmptyRows.output_indices() |
Output |
SparseReduceMaxSparse.output_indices() |
Output |
SparseReduceSumSparse.output_indices() |
Output |
SparseReorder.output_indices() |
Output |
SparseReshape.output_indices() |
Output |
SparseSlice.output_indices() |
Output |
SparseSparseMaximum.output_indices() |
Output |
SparseSparseMinimum.output_indices() |
Output |
SparseSparseMinimum.output_indices() |
Output |
SparseSparseMaximum.output_indices() |
Output |
SparseSlice.output_indices() |
Output |
SparseReshape.output_indices() |
Output |
SparseReorder.output_indices() |
Output |
SparseReduceSumSparse.output_indices() |
Output |
SparseReduceMaxSparse.output_indices() |
Output |
SparseFillEmptyRows.output_indices() |
Output |
SparseCross.output_indices() |
Output |
SparseConcat.output_indices() |
Output |
QuantizedConcat.output_max() |
Output |
QuantizeDownAndShrinkRange.output_max() |
Output |
QuantizedReshape.output_max() |
Output |
QuantizeV2.output_max() |
Output |
RequantizationRange.output_max() |
Output |
Requantize.output_max() |
Output |
Requantize.output_max() |
Output |
RequantizationRange.output_max() |
Output |
QuantizeV2.output_max() |
Output |
QuantizedReshape.output_max() |
Output |
QuantizeDownAndShrinkRange.output_max() |
Output |
QuantizedConcat.output_max() |
Output |
QuantizedConcat.output_min() |
Output |
QuantizeDownAndShrinkRange.output_min() |
Output |
QuantizedReshape.output_min() |
Output |
QuantizeV2.output_min() |
Output |
RequantizationRange.output_min() |
Output |
Requantize.output_min() |
Output |
Requantize.output_min() |
Output |
RequantizationRange.output_min() |
Output |
QuantizeV2.output_min() |
Output |
QuantizedReshape.output_min() |
Output |
QuantizeDownAndShrinkRange.output_min() |
Output |
QuantizedConcat.output_min() |
Output |
Assign.output_ref() |
Output |
AssignAdd.output_ref() |
Output |
AssignSub.output_ref() |
Output |
ScatterAdd.output_ref() |
Output |
ScatterDiv.output_ref() |
Output |
ScatterMax.output_ref() |
Output |
ScatterMin.output_ref() |
Output |
ScatterMul.output_ref() |
Output |
ScatterNdAdd.output_ref() |
Output |
ScatterNdSub.output_ref() |
Output |
ScatterNdUpdate.output_ref() |
Output |
ScatterSub.output_ref() |
Output |
ScatterUpdate.output_ref() |
Output |
StridedSliceAssign.output_ref() |
Output |
StridedSliceAssign.output_ref() |
Output |
ScatterUpdate.output_ref() |
Output |
ScatterSub.output_ref() |
Output |
ScatterNdUpdate.output_ref() |
Output |
ScatterNdSub.output_ref() |
Output |
ScatterNdAdd.output_ref() |
Output |
ScatterMul.output_ref() |
Output |
ScatterMin.output_ref() |
Output |
ScatterMax.output_ref() |
Output |
ScatterDiv.output_ref() |
Output |
ScatterAdd.output_ref() |
Output |
AssignSub.output_ref() |
Output |
AssignAdd.output_ref() |
Output |
Assign.output_ref() |
Output |
SparseConcat.output_shape() |
Output |
SparseCross.output_shape() |
Output |
SparseReduceMaxSparse.output_shape() |
Output |
SparseReduceSumSparse.output_shape() |
Output |
SparseReshape.output_shape() |
Output |
SparseSlice.output_shape() |
Output |
SparseSlice.output_shape() |
Output |
SparseReshape.output_shape() |
Output |
SparseReduceSumSparse.output_shape() |
Output |
SparseReduceMaxSparse.output_shape() |
Output |
SparseCross.output_shape() |
Output |
SparseConcat.output_shape() |
Output |
RefSwitch.output_true() |
Output |
Switch.output_true() |
Output |
Switch.output_true() |
Output |
RefSwitch.output_true() |
Output |
SparseConcat.output_values() |
Output |
SparseCross.output_values() |
Output |
SparseFillEmptyRows.output_values() |
Output |
SparseReduceMaxSparse.output_values() |
Output |
SparseReduceSumSparse.output_values() |
Output |
SparseReorder.output_values() |
Output |
SparseSlice.output_values() |
Output |
SparseSparseMaximum.output_values() |
Output |
SparseSparseMinimum.output_values() |
Output |
SparseSparseMinimum.output_values() |
Output |
SparseSparseMaximum.output_values() |
Output |
SparseSlice.output_values() |
Output |
SparseReorder.output_values() |
Output |
SparseReduceSumSparse.output_values() |
Output |
SparseReduceMaxSparse.output_values() |
Output |
SparseFillEmptyRows.output_values() |
Output |
SparseCross.output_values() |
Output |
SparseConcat.output_values() |
Output |
AdjustContrast.output() |
Output |
AdjustHue.output() |
Output |
AdjustSaturation.output() |
Output |
All.output() |
Output |
Angle.output() |
Output |
Any.output() |
Output |
ArgMax.output() |
Output |
ArgMin.output() |
Output |
AsString.output() |
Output |
AvgPool.output() |
Output |
AvgPool3D.output() |
Output |
AvgPool3DGrad.output() |
Output |
AvgPoolGrad.output() |
Output |
BatchMatMul.output() |
Output |
BatchMatMulV2.output() |
Output |
BatchToSpace.output() |
Output |
BatchToSpaceND.output() |
Output |
BiasAdd.output() |
Output |
BiasAddGrad.output() |
Output |
Bitcast.output() |
Output |
BroadcastTo.output() |
Output |
Bucketize.output() |
Output |
CheckNumerics.output() |
Output |
Cholesky.output() |
Output |
CholeskyGrad.output() |
Output |
ClipByValue.output() |
Output |
CompareAndBitpack.output() |
Output |
Concat.output() |
Output |
Conj.output() |
Output |
Conv2D.output() |
Output |
Conv2DBackpropFilter.output() |
Output |
Conv2DBackpropInput.output() |
Output |
Conv3D.output() |
Output |
Conv3DBackpropFilterV2.output() |
Output |
Conv3DBackpropInputV2.output() |
Output |
CountUpTo.output() |
Output |
CropAndResizeGradBoxes.output() |
Output |
CropAndResizeGradImage.output() |
Output |
DebugGradientIdentity.output() |
Output |
DebugGradientRefIdentity.output() |
Output |
DecodeBase64.output() |
Output |
DecodeCompressed.output() |
Output |
DecodePaddedRaw.output() |
Output |
DecodeRaw.output() |
Output |
DepthToSpace.output() |
Output |
DepthwiseConv2dNative.output() |
Output |
DepthwiseConv2dNativeBackpropFilter.output() |
Output |
DepthwiseConv2dNativeBackpropInput.output() |
Output |
Dequantize.output() |
Output |
Diag.output() |
Output |
Dilation2D.output() |
Output |
DrawBoundingBoxes.output() |
Output |
DrawBoundingBoxesV2.output() |
Output |
EditDistance.output() |
Output |
Einsum.output() |
Output |
Empty.output() |
Output |
EncodeBase64.output() |
Output |
EnsureShape.output() |
Output |
EuclideanNorm.output() |
Output |
ExpandDims.output() |
Output |
Fill.output() |
Output |
FractionalAvgPool.output() |
Output |
FractionalAvgPoolGrad.output() |
Output |
FractionalMaxPool.output() |
Output |
FractionalMaxPoolGrad.output() |
Output |
FusedPadConv2D.output() |
Output |
FusedResizeAndPadConv2D.output() |
Output |
Gather.output() |
Output |
GatherNd.output() |
Output |
GatherV2.output() |
Output |
GuaranteeConst.output() |
Output |
HSVToRGB.output() |
Output |
Identity.output() |
Output |
Imag.output() |
Output |
L2Loss.output() |
Output |
LinSpace.output() |
Output |
LoopCond.output() |
Output |
LRN.output() |
Output |
LRNGrad.output() |
Output |
MatrixDeterminant.output() |
Output |
MatrixDiag.output() |
Output |
MatrixDiagV2.output() |
Output |
MatrixInverse.output() |
Output |
MatrixSetDiag.output() |
Output |
MatrixSetDiagV2.output() |
Output |
MatrixSolve.output() |
Output |
MatrixSolveLs.output() |
Output |
MatrixSquareRoot.output() |
Output |
MatrixTriangularSolve.output() |
Output |
Max.output() |
Output |
MaxPool.output() |
Output |
MaxPool3D.output() |
Output |
MaxPool3DGrad.output() |
Output |
MaxPool3DGradGrad.output() |
Output |
MaxPoolGrad.output() |
Output |
MaxPoolGradGrad.output() |
Output |
MaxPoolGradGradV2.output() |
Output |
MaxPoolGradGradWithArgmax.output() |
Output |
MaxPoolGradV2.output() |
Output |
MaxPoolGradWithArgmax.output() |
Output |
MaxPoolV2.output() |
Output |
MaxPoolWithArgmax.output() |
Output |
Mean.output() |
Output |
Merge.output() |
Output |
Mfcc.output() |
Output |
Min.output() |
Output |
MirrorPad.output() |
Output |
Multinomial.output() |
Output |
NextAfter.output() |
Output |
NextIteration.output() |
Output |
OneHot.output() |
Output |
Pad.output() |
Output |
PadV2.output() |
Output |
ParallelConcat.output() |
Output |
ParameterizedTruncatedNormal.output() |
Output |
ParseTensor.output() |
Output |
Placeholder.output() |
Output |
PlaceholderWithDefault.output() |
Output |
PreventGradient.output() |
Output |
Print.output() |
Output |
Prod.output() |
Output |
QuantizeAndDequantizeV2.output() |
Output |
QuantizeAndDequantizeV3.output() |
Output |
QuantizedAvgPool.output() |
Output |
QuantizedBiasAdd.output() |
Output |
QuantizedConcat.output() |
Output |
QuantizedConv2D.output() |
Output |
QuantizedConv2DAndRelu.output() |
Output |
QuantizedConv2DAndReluAndRequantize.output() |
Output |
QuantizedConv2DAndRequantize.output() |
Output |
QuantizedConv2DPerChannel.output() |
Output |
QuantizedConv2DWithBias.output() |
Output |
QuantizedConv2DWithBiasAndRelu.output() |
Output |
QuantizedConv2DWithBiasAndReluAndRequantize.output() |
Output |
QuantizedConv2DWithBiasAndRequantize.output() |
Output |
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.output() |
Output |
QuantizedConv2DWithBiasSumAndRelu.output() |
Output |
QuantizedConv2DWithBiasSumAndReluAndRequantize.output() |
Output |
QuantizedDepthwiseConv2D.output() |
Output |
QuantizedDepthwiseConv2DWithBias.output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndRelu.output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.output() |
Output |
QuantizedMaxPool.output() |
Output |
QuantizeDownAndShrinkRange.output() |
Output |
QuantizedReshape.output() |
Output |
QuantizeV2.output() |
Output |
RandomGamma.output() |
Output |
RandomNormal.output() |
Output |
RandomPoissonV2.output() |
Output |
RandomShuffle.output() |
Output |
RandomUniform.output() |
Output |
RandomUniformInt.output() |
Output |
Range.output() |
Output |
Rank.output() |
Output |
Real.output() |
Output |
ReduceJoin.output() |
Output |
RefNextIteration.output() |
Output |
RefSelect.output() |
Output |
RegexFullMatch.output() |
Output |
RegexReplace.output() |
Output |
Requantize.output() |
Output |
Reshape.output() |
Output |
ResourceCountUpTo.output() |
Output |
Reverse.output() |
Output |
ReverseSequence.output() |
Output |
RGBToHSV.output() |
Output |
Roll.output() |
Output |
ScatterNd.output() |
Output |
ScatterNdNonAliasingAdd.output() |
Output |
SegmentMax.output() |
Output |
SegmentMean.output() |
Output |
SegmentMin.output() |
Output |
SegmentProd.output() |
Output |
SegmentSum.output() |
Output |
SelectV2.output() |
Output |
Size.output() |
Output |
Slice.output() |
Output |
Snapshot.output() |
Output |
SpaceToBatch.output() |
Output |
SpaceToBatchND.output() |
Output |
SpaceToDepth.output() |
Output |
SparseDenseCwiseAdd.output() |
Output |
SparseDenseCwiseDiv.output() |
Output |
SparseDenseCwiseMul.output() |
Output |
SparseReduceMax.output() |
Output |
SparseReduceSum.output() |
Output |
SparseSegmentMean.output() |
Output |
SparseSegmentMeanGrad.output() |
Output |
SparseSegmentMeanWithNumSegments.output() |
Output |
SparseSegmentSqrtN.output() |
Output |
SparseSegmentSqrtNGrad.output() |
Output |
SparseSegmentSqrtNWithNumSegments.output() |
Output |
SparseSegmentSum.output() |
Output |
SparseSegmentSumWithNumSegments.output() |
Output |
SparseSoftmax.output() |
Output |
SparseTensorDenseAdd.output() |
Output |
Squeeze.output() |
Output |
Stack.output() |
Output |
StopGradient.output() |
Output |
StridedSlice.output() |
Output |
StridedSliceGrad.output() |
Output |
StringFormat.output() |
Output |
StringJoin.output() |
Output |
StringLength.output() |
Output |
StringLower.output() |
Output |
StringStrip.output() |
Output |
StringToHashBucket.output() |
Output |
StringToHashBucketFast.output() |
Output |
StringToHashBucketStrong.output() |
Output |
StringToNumber.output() |
Output |
StringUpper.output() |
Output |
Substr.output() |
Output |
Sum.output() |
Output |
TensorListConcatLists.output() |
Output |
TensorScatterAdd.output() |
Output |
TensorScatterSub.output() |
Output |
TensorScatterUpdate.output() |
Output |
TensorStridedSliceUpdate.output() |
Output |
Tile.output() |
Output |
TruncatedNormal.output() |
Output |
UnicodeScript.output() |
Output |
UnicodeTranscode.output() |
Output |
UnravelIndex.output() |
Output |
UnsortedSegmentJoin.output() |
Output |
UnsortedSegmentMax.output() |
Output |
UnsortedSegmentMin.output() |
Output |
UnsortedSegmentProd.output() |
Output |
UnsortedSegmentSum.output() |
Output |
Where3.output() |
Output |
Where3.output() |
Output |
UnsortedSegmentSum.output() |
Output |
UnsortedSegmentProd.output() |
Output |
UnsortedSegmentMin.output() |
Output |
UnsortedSegmentMax.output() |
Output |
UnsortedSegmentJoin.output() |
Output |
UnravelIndex.output() |
Output |
UnicodeTranscode.output() |
Output |
UnicodeScript.output() |
Output |
TruncatedNormal.output() |
Output |
Tile.output() |
Output |
TensorStridedSliceUpdate.output() |
Output |
TensorScatterUpdate.output() |
Output |
TensorScatterSub.output() |
Output |
TensorScatterAdd.output() |
Output |
TensorListConcatLists.output() |
Output |
Sum.output() |
Output |
Substr.output() |
Output |
StringUpper.output() |
Output |
StringToNumber.output() |
Output |
StringToHashBucketStrong.output() |
Output |
StringToHashBucketFast.output() |
Output |
StringToHashBucket.output() |
Output |
StringStrip.output() |
Output |
StringLower.output() |
Output |
StringLength.output() |
Output |
StringJoin.output() |
Output |
StringFormat.output() |
Output |
StridedSliceGrad.output() |
Output |
StridedSlice.output() |
Output |
StopGradient.output() |
Output |
Stack.output() |
Output |
Squeeze.output() |
Output |
SparseTensorDenseAdd.output() |
Output |
SparseSoftmax.output() |
Output |
SparseSegmentSumWithNumSegments.output() |
Output |
SparseSegmentSum.output() |
Output |
SparseSegmentSqrtNWithNumSegments.output() |
Output |
SparseSegmentSqrtNGrad.output() |
Output |
SparseSegmentSqrtN.output() |
Output |
SparseSegmentMeanWithNumSegments.output() |
Output |
SparseSegmentMeanGrad.output() |
Output |
SparseSegmentMean.output() |
Output |
SparseReduceSum.output() |
Output |
SparseReduceMax.output() |
Output |
SparseDenseCwiseMul.output() |
Output |
SparseDenseCwiseDiv.output() |
Output |
SparseDenseCwiseAdd.output() |
Output |
SpaceToDepth.output() |
Output |
SpaceToBatchND.output() |
Output |
SpaceToBatch.output() |
Output |
Snapshot.output() |
Output |
Slice.output() |
Output |
Size.output() |
Output |
SelectV2.output() |
Output |
SegmentSum.output() |
Output |
SegmentProd.output() |
Output |
SegmentMin.output() |
Output |
SegmentMean.output() |
Output |
SegmentMax.output() |
Output |
ScatterNdNonAliasingAdd.output() |
Output |
ScatterNd.output() |
Output |
Roll.output() |
Output |
RGBToHSV.output() |
Output |
ReverseSequence.output() |
Output |
Reverse.output() |
Output |
ResourceCountUpTo.output() |
Output |
Reshape.output() |
Output |
Requantize.output() |
Output |
RegexReplace.output() |
Output |
RegexFullMatch.output() |
Output |
RefSelect.output() |
Output |
RefNextIteration.output() |
Output |
ReduceJoin.output() |
Output |
Real.output() |
Output |
Rank.output() |
Output |
Range.output() |
Output |
RandomUniformInt.output() |
Output |
RandomUniform.output() |
Output |
RandomShuffle.output() |
Output |
RandomPoissonV2.output() |
Output |
RandomNormal.output() |
Output |
RandomGamma.output() |
Output |
QuantizeV2.output() |
Output |
QuantizedReshape.output() |
Output |
QuantizeDownAndShrinkRange.output() |
Output |
QuantizedMaxPool.output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.output() |
Output |
QuantizedDepthwiseConv2DWithBiasAndRelu.output() |
Output |
QuantizedDepthwiseConv2DWithBias.output() |
Output |
QuantizedDepthwiseConv2D.output() |
Output |
QuantizedConv2DWithBiasSumAndReluAndRequantize.output() |
Output |
QuantizedConv2DWithBiasSumAndRelu.output() |
Output |
QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.output() |
Output |
QuantizedConv2DWithBiasAndRequantize.output() |
Output |
QuantizedConv2DWithBiasAndReluAndRequantize.output() |
Output |
QuantizedConv2DWithBiasAndRelu.output() |
Output |
QuantizedConv2DWithBias.output() |
Output |
QuantizedConv2DPerChannel.output() |
Output |
QuantizedConv2DAndRequantize.output() |
Output |
QuantizedConv2DAndReluAndRequantize.output() |
Output |
QuantizedConv2DAndRelu.output() |
Output |
QuantizedConv2D.output() |
Output |
QuantizedConcat.output() |
Output |
QuantizedBiasAdd.output() |
Output |
QuantizedAvgPool.output() |
Output |
QuantizeAndDequantizeV3.output() |
Output |
QuantizeAndDequantizeV2.output() |
Output |
Prod.output() |
Output |
Print.output() |
Output |
PreventGradient.output() |
Output |
PlaceholderWithDefault.output() |
Output |
Placeholder.output() |
Output |
ParseTensor.output() |
Output |
ParameterizedTruncatedNormal.output() |
Output |
ParallelConcat.output() |
Output |
PadV2.output() |
Output |
Pad.output() |
Output |
OneHot.output() |
Output |
NextIteration.output() |
Output |
NextAfter.output() |
Output |
Multinomial.output() |
Output |
MirrorPad.output() |
Output |
Min.output() |
Output |
Mfcc.output() |
Output |
Merge.output() |
Output |
Mean.output() |
Output |
MaxPoolWithArgmax.output() |
Output |
MaxPoolV2.output() |
Output |
MaxPoolGradWithArgmax.output() |
Output |
MaxPoolGradV2.output() |
Output |
MaxPoolGradGradWithArgmax.output() |
Output |
MaxPoolGradGradV2.output() |
Output |
MaxPoolGradGrad.output() |
Output |
MaxPoolGrad.output() |
Output |
MaxPool3DGradGrad.output() |
Output |
MaxPool3DGrad.output() |
Output |
MaxPool3D.output() |
Output |
MaxPool.output() |
Output |
Max.output() |
Output |
MatrixTriangularSolve.output() |
Output |
MatrixSquareRoot.output() |
Output |
MatrixSolveLs.output() |
Output |
MatrixSolve.output() |
Output |
MatrixSetDiagV2.output() |
Output |
MatrixSetDiag.output() |
Output |
MatrixInverse.output() |
Output |
MatrixDiagV2.output() |
Output |
MatrixDiag.output() |
Output |
MatrixDeterminant.output() |
Output |
LRNGrad.output() |
Output |
LRN.output() |
Output |
LoopCond.output() |
Output |
LinSpace.output() |
Output |
L2Loss.output() |
Output |
Imag.output() |
Output |
Identity.output() |
Output |
HSVToRGB.output() |
Output |
GuaranteeConst.output() |
Output |
GatherV2.output() |
Output |
GatherNd.output() |
Output |
Gather.output() |
Output |
FusedResizeAndPadConv2D.output() |
Output |
FusedPadConv2D.output() |
Output |
FractionalMaxPoolGrad.output() |
Output |
FractionalMaxPool.output() |
Output |
FractionalAvgPoolGrad.output() |
Output |
FractionalAvgPool.output() |
Output |
Fill.output() |
Output |
ExpandDims.output() |
Output |
EuclideanNorm.output() |
Output |
EnsureShape.output() |
Output |
EncodeBase64.output() |
Output |
Empty.output() |
Output |
Einsum.output() |
Output |
EditDistance.output() |
Output |
DrawBoundingBoxesV2.output() |
Output |
DrawBoundingBoxes.output() |
Output |
Dilation2D.output() |
Output |
Diag.output() |
Output |
Dequantize.output() |
Output |
DepthwiseConv2dNativeBackpropInput.output() |
Output |
DepthwiseConv2dNativeBackpropFilter.output() |
Output |
DepthwiseConv2dNative.output() |
Output |
DepthToSpace.output() |
Output |
DecodeRaw.output() |
Output |
DecodePaddedRaw.output() |
Output |
DecodeCompressed.output() |
Output |
DecodeBase64.output() |
Output |
DebugGradientRefIdentity.output() |
Output |
DebugGradientIdentity.output() |
Output |
CropAndResizeGradImage.output() |
Output |
CropAndResizeGradBoxes.output() |
Output |
CountUpTo.output() |
Output |
Conv3DBackpropInputV2.output() |
Output |
Conv3DBackpropFilterV2.output() |
Output |
Conv3D.output() |
Output |
Conv2DBackpropInput.output() |
Output |
Conv2DBackpropFilter.output() |
Output |
Conv2D.output() |
Output |
Conj.output() |
Output |
Concat.output() |
Output |
CompareAndBitpack.output() |
Output |
ClipByValue.output() |
Output |
CholeskyGrad.output() |
Output |
Cholesky.output() |
Output |
CheckNumerics.output() |
Output |
Bucketize.output() |
Output |
BroadcastTo.output() |
Output |
Bitcast.output() |
Output |
BiasAddGrad.output() |
Output |
BiasAdd.output() |
Output |
BatchToSpaceND.output() |
Output |
BatchToSpace.output() |
Output |
BatchMatMulV2.output() |
Output |
BatchMatMul.output() |
Output |
AvgPoolGrad.output() |
Output |
AvgPool3DGrad.output() |
Output |
AvgPool3D.output() |
Output |
AvgPool.output() |
Output |
AsString.output() |
Output |
ArgMin.output() |
Output |
ArgMax.output() |
Output |
Any.output() |
Output |
Angle.output() |
Output |
All.output() |
Output |
AdjustSaturation.output() |
Output |
AdjustHue.output() |
Output |
AdjustContrast.output() |
Output |
Operation.output(int i) |
Output |
Operation.output(int i) |
Output |
FakeQuantWithMinMaxArgs.outputs() |
Output |
FakeQuantWithMinMaxVars.outputs() |
Output |
FakeQuantWithMinMaxVarsPerChannel.outputs() |
Output |
FakeQuantWithMinMaxVarsPerChannel.outputs() |
Output |
FakeQuantWithMinMaxVars.outputs() |
Output |
FakeQuantWithMinMaxArgs.outputs() |
Output |
Lu.p() |
Output |
Lu.p() |
Output |
ExtractImagePatches.patches() |
Output |
ExtractVolumePatches.patches() |
Output |
ExtractVolumePatches.patches() |
Output |
ExtractImagePatches.patches() |
Output |
OutputVector.pop_back() |
Output |
OutputVector.pop_back() |
Output |
Output.position(long position) |
Output |
Output.position(long position) |
Output |
InTopK.precision() |
Output |
InTopKV2.precision() |
Output |
InTopKV2.precision() |
Output |
InTopK.precision() |
Output |
Cross.product() |
Output |
MatMul.product() |
Output |
SparseMatMul.product() |
Output |
SparseTensorDenseMatMul.product() |
Output |
SparseTensorDenseMatMul.product() |
Output |
SparseMatMul.product() |
Output |
MatMul.product() |
Output |
Cross.product() |
Output |
Qr.q() |
Output |
Qr.q() |
Output |
Qr.r() |
Output |
Qr.r() |
Output |
BroadcastDynamicShape.r0() |
Output |
BroadcastDynamicShape.r0() |
Output |
FixedLengthRecordReader.reader_handle() |
Output |
IdentityReader.reader_handle() |
Output |
LMDBReader.reader_handle() |
Output |
TextLineReader.reader_handle() |
Output |
TFRecordReader.reader_handle() |
Output |
WholeFileReader.reader_handle() |
Output |
WholeFileReader.reader_handle() |
Output |
TFRecordReader.reader_handle() |
Output |
TextLineReader.reader_handle() |
Output |
LMDBReader.reader_handle() |
Output |
IdentityReader.reader_handle() |
Output |
FixedLengthRecordReader.reader_handle() |
Output |
ReaderNumRecordsProduced.records_produced() |
Output |
ReaderNumRecordsProduced.records_produced() |
Output |
RecordInput.records() |
Output |
RecordInput.records() |
Output |
TemporaryVariable.ref() |
Output |
Variable.ref() |
Output |
Variable.ref() |
Output |
TemporaryVariable.ref() |
Output |
FusedBatchNorm.reserve_space_1() |
Output |
FusedBatchNormV2.reserve_space_1() |
Output |
FusedBatchNormV3.reserve_space_1() |
Output |
FusedBatchNormV3.reserve_space_1() |
Output |
FusedBatchNormV2.reserve_space_1() |
Output |
FusedBatchNorm.reserve_space_1() |
Output |
FusedBatchNorm.reserve_space_2() |
Output |
FusedBatchNormV2.reserve_space_2() |
Output |
FusedBatchNormV3.reserve_space_2() |
Output |
FusedBatchNormV3.reserve_space_2() |
Output |
FusedBatchNormV2.reserve_space_2() |
Output |
FusedBatchNorm.reserve_space_2() |
Output |
FusedBatchNormGrad.reserve_space_3() |
Output |
FusedBatchNormGradV2.reserve_space_3() |
Output |
FusedBatchNormV3.reserve_space_3() |
Output |
FusedBatchNormV3.reserve_space_3() |
Output |
FusedBatchNormGradV2.reserve_space_3() |
Output |
FusedBatchNormGrad.reserve_space_3() |
Output |
FusedBatchNormGrad.reserve_space_4() |
Output |
FusedBatchNormGradV2.reserve_space_4() |
Output |
FusedBatchNormGradV3.reserve_space_4() |
Output |
FusedBatchNormGradV3.reserve_space_4() |
Output |
FusedBatchNormGradV2.reserve_space_4() |
Output |
FusedBatchNormGrad.reserve_space_4() |
Output |
FusedBatchNormGradV3.reserve_space_5() |
Output |
FusedBatchNormGradV3.reserve_space_5() |
Output |
QuantizedResizeBilinear.resized_images() |
Output |
ResizeArea.resized_images() |
Output |
ResizeBicubic.resized_images() |
Output |
ResizeBilinear.resized_images() |
Output |
ResizeNearestNeighbor.resized_images() |
Output |
ScaleAndTranslate.resized_images() |
Output |
ScaleAndTranslate.resized_images() |
Output |
ResizeNearestNeighbor.resized_images() |
Output |
ResizeBilinear.resized_images() |
Output |
ResizeBicubic.resized_images() |
Output |
ResizeArea.resized_images() |
Output |
QuantizedResizeBilinear.resized_images() |
Output |
QuantizedBatchNormWithGlobalNormalization.result_max() |
Output |
QuantizedBatchNormWithGlobalNormalization.result_max() |
Output |
QuantizedBatchNormWithGlobalNormalization.result_min() |
Output |
QuantizedBatchNormWithGlobalNormalization.result_min() |
Output |
QuantizedBatchNormWithGlobalNormalization.result() |
Output |
QuantizedBatchNormWithGlobalNormalization.result() |
Output |
SparseFillEmptyRows.reverse_index_map() |
Output |
SparseFillEmptyRows.reverse_index_map() |
Output |
FractionalAvgPool.row_pooling_sequence() |
Output |
FractionalMaxPool.row_pooling_sequence() |
Output |
FractionalMaxPool.row_pooling_sequence() |
Output |
FractionalAvgPool.row_pooling_sequence() |
Output |
Svd.s() |
Output |
Svd.s() |
Output |
DecodeWav.sample_rate() |
Output |
DecodeWav.sample_rate() |
Output |
AllCandidateSampler.sampled_candidates() |
Output |
FixedUnigramCandidateSampler.sampled_candidates() |
Output |
LearnedUnigramCandidateSampler.sampled_candidates() |
Output |
LogUniformCandidateSampler.sampled_candidates() |
Output |
UniformCandidateSampler.sampled_candidates() |
Output |
UniformCandidateSampler.sampled_candidates() |
Output |
LogUniformCandidateSampler.sampled_candidates() |
Output |
LearnedUnigramCandidateSampler.sampled_candidates() |
Output |
FixedUnigramCandidateSampler.sampled_candidates() |
Output |
AllCandidateSampler.sampled_candidates() |
Output |
AllCandidateSampler.sampled_expected_count() |
Output |
FixedUnigramCandidateSampler.sampled_expected_count() |
Output |
LearnedUnigramCandidateSampler.sampled_expected_count() |
Output |
LogUniformCandidateSampler.sampled_expected_count() |
Output |
UniformCandidateSampler.sampled_expected_count() |
Output |
UniformCandidateSampler.sampled_expected_count() |
Output |
LogUniformCandidateSampler.sampled_expected_count() |
Output |
LearnedUnigramCandidateSampler.sampled_expected_count() |
Output |
FixedUnigramCandidateSampler.sampled_expected_count() |
Output |
AllCandidateSampler.sampled_expected_count() |
Output |
FusedBatchNormGrad.scale_backprop() |
Output |
FusedBatchNormGradV2.scale_backprop() |
Output |
FusedBatchNormGradV3.scale_backprop() |
Output |
FusedBatchNormGradV3.scale_backprop() |
Output |
FusedBatchNormGradV2.scale_backprop() |
Output |
FusedBatchNormGrad.scale_backprop() |
Output |
NonMaxSuppression.selected_indices() |
Output |
NonMaxSuppressionV2.selected_indices() |
Output |
NonMaxSuppressionV3.selected_indices() |
Output |
NonMaxSuppressionV4.selected_indices() |
Output |
NonMaxSuppressionV5.selected_indices() |
Output |
NonMaxSuppressionWithOverlaps.selected_indices() |
Output |
NonMaxSuppressionWithOverlaps.selected_indices() |
Output |
NonMaxSuppressionV5.selected_indices() |
Output |
NonMaxSuppressionV4.selected_indices() |
Output |
NonMaxSuppressionV3.selected_indices() |
Output |
NonMaxSuppressionV2.selected_indices() |
Output |
NonMaxSuppression.selected_indices() |
Output |
NonMaxSuppressionV5.selected_scores() |
Output |
NonMaxSuppressionV5.selected_scores() |
Output |
SerializeManySparse.serialized_sparse() |
Output |
SerializeSparse.serialized_sparse() |
Output |
SerializeSparse.serialized_sparse() |
Output |
SerializeManySparse.serialized_sparse() |
Output |
SerializeTensor.serialized() |
Output |
SerializeTensor.serialized() |
Output |
SparseAccumulatorTakeGradient.shape() |
Output |
StringSplit.shape() |
Output |
StringSplitV2.shape() |
Output |
StringSplitV2.shape() |
Output |
StringSplit.shape() |
Output |
SparseAccumulatorTakeGradient.shape() |
Output |
LogMatrixDeterminant.sign() |
Output |
LogMatrixDeterminant.sign() |
Output |
BarrierIncompleteSize.size() |
Output |
BarrierReadySize.size() |
Output |
LookupTableSize.size() |
Output |
MapIncompleteSize.size() |
Output |
MapSize.size() |
Output |
OrderedMapIncompleteSize.size() |
Output |
OrderedMapSize.size() |
Output |
QueueSize.size() |
Output |
SampleDistortedBoundingBox.size() |
Output |
SampleDistortedBoundingBoxV2.size() |
Output |
StageSize.size() |
Output |
TensorArraySize.size() |
Output |
TensorArraySize.size() |
Output |
StageSize.size() |
Output |
SampleDistortedBoundingBoxV2.size() |
Output |
SampleDistortedBoundingBox.size() |
Output |
QueueSize.size() |
Output |
OrderedMapSize.size() |
Output |
OrderedMapIncompleteSize.size() |
Output |
MapSize.size() |
Output |
MapIncompleteSize.size() |
Output |
LookupTableSize.size() |
Output |
BarrierReadySize.size() |
Output |
BarrierIncompleteSize.size() |
Output |
Softmax.softmax() |
Output |
Softmax.softmax() |
Output |
AddSparseToTensorsMap.sparse_handle() |
Output |
AddSparseToTensorsMap.sparse_handle() |
Output |
AddManySparseToTensorsMap.sparse_handles() |
Output |
AddManySparseToTensorsMap.sparse_handles() |
Output |
DeserializeManySparse.sparse_indices() |
Output |
DeserializeSparse.sparse_indices() |
Output |
TakeManySparseFromTensorsMap.sparse_indices() |
Output |
TakeManySparseFromTensorsMap.sparse_indices() |
Output |
DeserializeSparse.sparse_indices() |
Output |
DeserializeManySparse.sparse_indices() |
Output |
DeserializeManySparse.sparse_shape() |
Output |
DeserializeSparse.sparse_shape() |
Output |
TakeManySparseFromTensorsMap.sparse_shape() |
Output |
TakeManySparseFromTensorsMap.sparse_shape() |
Output |
DeserializeSparse.sparse_shape() |
Output |
DeserializeManySparse.sparse_shape() |
Output |
DeserializeManySparse.sparse_values() |
Output |
DeserializeSparse.sparse_values() |
Output |
TakeManySparseFromTensorsMap.sparse_values() |
Output |
TakeManySparseFromTensorsMap.sparse_values() |
Output |
DeserializeSparse.sparse_values() |
Output |
DeserializeManySparse.sparse_values() |
Output |
AudioSpectrogram.spectrogram() |
Output |
AudioSpectrogram.spectrogram() |
Output |
ReaderSerializeState.state() |
Output |
ReaderSerializeState.state() |
Output |
SparseAdd.sum_indices() |
Output |
SparseAdd.sum_indices() |
Output |
SparseAdd.sum_shape() |
Output |
SparseAdd.sum_shape() |
Output |
SparseAdd.sum_values() |
Output |
SparseAdd.sum_values() |
Output |
AccumulateNV2.sum() |
Output |
AddN.sum() |
Output |
AddN.sum() |
Output |
AccumulateNV2.sum() |
Output |
AudioSummary.summary() |
Output |
HistogramSummary.summary() |
Output |
ImageSummary.summary() |
Output |
MergeSummary.summary() |
Output |
ScalarSummary.summary() |
Output |
TensorSummary.summary() |
Output |
TensorSummaryV2.summary() |
Output |
TensorSummaryV2.summary() |
Output |
TensorSummary.summary() |
Output |
ScalarSummary.summary() |
Output |
MergeSummary.summary() |
Output |
ImageSummary.summary() |
Output |
HistogramSummary.summary() |
Output |
AudioSummary.summary() |
Output |
HashTable.table_handle() |
Output |
MutableDenseHashTable.table_handle() |
Output |
MutableHashTable.table_handle() |
Output |
MutableHashTableOfTensors.table_handle() |
Output |
MutableHashTableOfTensors.table_handle() |
Output |
MutableHashTable.table_handle() |
Output |
MutableDenseHashTable.table_handle() |
Output |
HashTable.table_handle() |
Output |
ImmutableConst.tensor() |
Output |
Restore.tensor() |
Output |
RestoreSlice.tensor() |
Output |
TensorListConcat.tensor() |
Output |
TensorListConcatV2.tensor() |
Output |
TensorListPopBack.tensor() |
Output |
TensorListStack.tensor() |
Output |
TensorListStack.tensor() |
Output |
TensorListPopBack.tensor() |
Output |
TensorListConcatV2.tensor() |
Output |
TensorListConcat.tensor() |
Output |
RestoreSlice.tensor() |
Output |
Restore.tensor() |
Output |
ImmutableConst.tensor() |
Output |
AllCandidateSampler.true_expected_count() |
Output |
FixedUnigramCandidateSampler.true_expected_count() |
Output |
LearnedUnigramCandidateSampler.true_expected_count() |
Output |
LogUniformCandidateSampler.true_expected_count() |
Output |
UniformCandidateSampler.true_expected_count() |
Output |
UniformCandidateSampler.true_expected_count() |
Output |
LogUniformCandidateSampler.true_expected_count() |
Output |
LearnedUnigramCandidateSampler.true_expected_count() |
Output |
FixedUnigramCandidateSampler.true_expected_count() |
Output |
AllCandidateSampler.true_expected_count() |
Output |
Timestamp.ts() |
Output |
Timestamp.ts() |
Output |
Svd.u() |
Output |
Svd.u() |
Output |
ReaderNumWorkUnitsCompleted.units_completed() |
Output |
ReaderNumWorkUnitsCompleted.units_completed() |
Output |
SelfAdjointEig.v() |
Output |
Svd.v() |
Output |
Svd.v() |
Output |
SelfAdjointEig.v() |
Output |
SparseSliceGrad.val_grad() |
Output |
SparseSliceGrad.val_grad() |
Output |
CombinedNonMaxSuppression.valid_detections() |
Output |
CombinedNonMaxSuppression.valid_detections() |
Output |
NonMaxSuppressionV4.valid_outputs() |
Output |
NonMaxSuppressionV5.valid_outputs() |
Output |
NonMaxSuppressionV5.valid_outputs() |
Output |
NonMaxSuppressionV4.valid_outputs() |
Output |
Merge.value_index() |
Output |
Merge.value_index() |
Output |
DestroyTemporaryVariable.value() |
Output |
GetSessionTensor.value() |
Output |
ReaderRead.value() |
Output |
TensorArrayConcat.value() |
Output |
TensorArrayGather.value() |
Output |
TensorArrayRead.value() |
Output |
TensorArrayRead.value() |
Output |
TensorArrayGather.value() |
Output |
TensorArrayConcat.value() |
Output |
ReaderRead.value() |
Output |
GetSessionTensor.value() |
Output |
DestroyTemporaryVariable.value() |
Output |
LookupTableExport.values() |
Output |
LookupTableFind.values() |
Output |
NthElement.values() |
Output |
ReaderReadUpTo.values() |
Output |
SparseAccumulatorTakeGradient.values() |
Output |
StringSplit.values() |
Output |
StringSplitV2.values() |
Output |
TensorListGather.values() |
Output |
TopK.values() |
Output |
TopK.values() |
Output |
TensorListGather.values() |
Output |
StringSplitV2.values() |
Output |
StringSplit.values() |
Output |
SparseAccumulatorTakeGradient.values() |
Output |
ReaderReadUpTo.values() |
Output |
NthElement.values() |
Output |
LookupTableFind.values() |
Output |
LookupTableExport.values() |
Output |
ComputeAccidentalHits.weights() |
Output |
ComputeAccidentalHits.weights() |
Output |
FusedBatchNormGrad.x_backprop() |
Output |
FusedBatchNormGradV2.x_backprop() |
Output |
FusedBatchNormGradV3.x_backprop() |
Output |
FusedBatchNormGradV3.x_backprop() |
Output |
FusedBatchNormGradV2.x_backprop() |
Output |
FusedBatchNormGrad.x_backprop() |
Output |
QuantizedInstanceNorm.y_max() |
Output |
QuantizedInstanceNorm.y_max() |
Output |
QuantizedInstanceNorm.y_min() |
Output |
QuantizedInstanceNorm.y_min() |
Output |
Abs.y() |
Output |
Acos.y() |
Output |
Acosh.y() |
Output |
Asin.y() |
Output |
Asinh.y() |
Output |
Atan.y() |
Output |
Atanh.y() |
Output |
BesselI0e.y() |
Output |
BesselI1e.y() |
Output |
CastOp.y() |
Output |
Ceil.y() |
Output |
ComplexAbs.y() |
Output |
ConjugateTranspose.y() |
Output |
Cos.y() |
Output |
Cosh.y() |
Output |
DataFormatDimMap.y() |
Output |
DataFormatVecPermute.y() |
Output |
DeepCopy.y() |
Output |
Digamma.y() |
Output |
Erf.y() |
Output |
Erfc.y() |
Output |
Exp.y() |
Output |
Expm1.y() |
Output |
Floor.y() |
Output |
FusedBatchNorm.y() |
Output |
FusedBatchNormV2.y() |
Output |
FusedBatchNormV3.y() |
Output |
InplaceAdd.y() |
Output |
InplaceSub.y() |
Output |
InplaceUpdate.y() |
Output |
Inv.y() |
Output |
InvertPermutation.y() |
Output |
IsFinite.y() |
Output |
IsInf.y() |
Output |
IsNan.y() |
Output |
Lgamma.y() |
Output |
Log.y() |
Output |
Log1p.y() |
Output |
LogicalNot.y() |
Output |
Negate.y() |
Output |
OnesLike.y() |
Output |
QuantizedInstanceNorm.y() |
Output |
Reciprocal.y() |
Output |
Rint.y() |
Output |
Round.y() |
Output |
Rsqrt.y() |
Output |
Sigmoid.y() |
Output |
Sign.y() |
Output |
Sin.y() |
Output |
Sinh.y() |
Output |
Sqrt.y() |
Output |
Square.y() |
Output |
Tan.y() |
Output |
Tanh.y() |
Output |
Transpose.y() |
Output |
Unique.y() |
Output |
UniqueV2.y() |
Output |
UniqueWithCounts.y() |
Output |
UniqueWithCountsV2.y() |
Output |
ZerosLike.y() |
Output |
ZerosLike.y() |
Output |
UniqueWithCountsV2.y() |
Output |
UniqueWithCounts.y() |
Output |
UniqueV2.y() |
Output |
Unique.y() |
Output |
Transpose.y() |
Output |
Tanh.y() |
Output |
Tan.y() |
Output |
Square.y() |
Output |
Sqrt.y() |
Output |
Sinh.y() |
Output |
Sin.y() |
Output |
Sign.y() |
Output |
Sigmoid.y() |
Output |
Rsqrt.y() |
Output |
Round.y() |
Output |
Rint.y() |
Output |
Reciprocal.y() |
Output |
QuantizedInstanceNorm.y() |
Output |
OnesLike.y() |
Output |
Negate.y() |
Output |
LogicalNot.y() |
Output |
Log1p.y() |
Output |
Log.y() |
Output |
Lgamma.y() |
Output |
IsNan.y() |
Output |
IsInf.y() |
Output |
IsFinite.y() |
Output |
InvertPermutation.y() |
Output |
Inv.y() |
Output |
InplaceUpdate.y() |
Output |
InplaceSub.y() |
Output |
InplaceAdd.y() |
Output |
FusedBatchNormV3.y() |
Output |
FusedBatchNormV2.y() |
Output |
FusedBatchNorm.y() |
Output |
Floor.y() |
Output |
Expm1.y() |
Output |
Exp.y() |
Output |
Erfc.y() |
Output |
Erf.y() |
Output |
Digamma.y() |
Output |
DeepCopy.y() |
Output |
DataFormatVecPermute.y() |
Output |
DataFormatDimMap.y() |
Output |
Cosh.y() |
Output |
Cos.y() |
Output |
ConjugateTranspose.y() |
Output |
ComplexAbs.y() |
Output |
Ceil.y() |
Output |
CastOp.y() |
Output |
BesselI1e.y() |
Output |
BesselI0e.y() |
Output |
Atanh.y() |
Output |
Atan.y() |
Output |
Asinh.y() |
Output |
Asin.y() |
Output |
Acosh.y() |
Output |
Acos.y() |
Output |
Abs.y() |
Output |
Add.z() |
Output |
AddV2.z() |
Output |
ApproximateEqual.z() |
Output |
Atan2.z() |
Output |
Betainc.z() |
Output |
Div.z() |
Output |
DivNoNan.z() |
Output |
Equal.z() |
Output |
FloorDiv.z() |
Output |
FloorMod.z() |
Output |
Greater.z() |
Output |
GreaterEqual.z() |
Output |
Igamma.z() |
Output |
Igammac.z() |
Output |
Less.z() |
Output |
LessEqual.z() |
Output |
LogicalAnd.z() |
Output |
LogicalOr.z() |
Output |
Maximum.z() |
Output |
Minimum.z() |
Output |
Mod.z() |
Output |
MulNoNan.z() |
Output |
Multiply.z() |
Output |
NotEqual.z() |
Output |
Polygamma.z() |
Output |
Pow.z() |
Output |
QuantizedAdd.z() |
Output |
QuantizedMul.z() |
Output |
RealDiv.z() |
Output |
SquaredDifference.z() |
Output |
Subtract.z() |
Output |
TruncateDiv.z() |
Output |
TruncateMod.z() |
Output |
Xdivy.z() |
Output |
Xlogy.z() |
Output |
Zeta.z() |
Output |
Zeta.z() |
Output |
Xlogy.z() |
Output |
Xdivy.z() |
Output |
TruncateMod.z() |
Output |
TruncateDiv.z() |
Output |
Subtract.z() |
Output |
SquaredDifference.z() |
Output |
RealDiv.z() |
Output |
QuantizedMul.z() |
Output |
QuantizedAdd.z() |
Output |
Pow.z() |
Output |
Polygamma.z() |
Output |
NotEqual.z() |
Output |
Multiply.z() |
Output |
MulNoNan.z() |
Output |
Mod.z() |
Output |
Minimum.z() |
Output |
Maximum.z() |
Output |
LogicalOr.z() |
Output |
LogicalAnd.z() |
Output |
LessEqual.z() |
Output |
Less.z() |
Output |
Igammac.z() |
Output |
Igamma.z() |
Output |
GreaterEqual.z() |
Output |
Greater.z() |
Output |
FloorMod.z() |
Output |
FloorDiv.z() |
Output |
Equal.z() |
Output |
DivNoNan.z() |
Output |
Div.z() |
Output |
Betainc.z() |
Output |
Atan2.z() |
Output |
ApproximateEqual.z() |
Output |
AddV2.z() |
Output |
Add.z() |
Constructor and Description |
---|
Input(Output o)
All of Input's constructors are implicit.
|
Input(Output o)
All of Input's constructors are implicit.
|
OutputVector(Output... array) |
OutputVector(Output... array) |
OutputVector(Output value) |
OutputVector(Output value) |
Modifier and Type | Method and Description |
---|---|
static Output |
tensorflow.Const(Scope scope,
boolean val) |
static Output |
tensorflow.Const(Scope scope,
boolean val) |
static Output |
tensorflow.Const(Scope scope,
boolean v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
boolean v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
byte val) |
static Output |
tensorflow.Const(Scope scope,
byte val) |
static Output |
tensorflow.Const(Scope scope,
BytePointer val) |
static Output |
tensorflow.Const(Scope scope,
BytePointer val) |
static Output |
tensorflow.Const(Scope scope,
BytePointer v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
BytePointer v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
byte v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
byte v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
double val) |
static Output |
tensorflow.Const(Scope scope,
double val) |
static Output |
tensorflow.Const(Scope scope,
double v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
double v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
float val) |
static Output |
tensorflow.Const(Scope scope,
float val) |
static Output |
tensorflow.Const(Scope scope,
float v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
float v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
Input.Initializer val)
\defgroup const_op Const Op
\{
|
static Output |
tensorflow.Const(Scope scope,
Input.Initializer val)
\defgroup const_op Const Op
\{
|
static Output |
tensorflow.Const(Scope scope,
int val) |
static Output |
tensorflow.Const(Scope scope,
int val) |
static Output |
tensorflow.Const(Scope scope,
int v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
int v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
long val) |
static Output |
tensorflow.Const(Scope scope,
long val) |
static Output |
tensorflow.Const(Scope scope,
long v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
long v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
short val) |
static Output |
tensorflow.Const(Scope scope,
short val) |
static Output |
tensorflow.Const(Scope scope,
short v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
short v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
String val) |
static Output |
tensorflow.Const(Scope scope,
String val) |
static Output |
tensorflow.Const(Scope scope,
String v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
String v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
Tensor val) |
static Output |
tensorflow.Const(Scope scope,
Tensor val) |
static Output |
tensorflow.ConstFromProto(Scope scope,
TensorProto proto) |
static Output |
tensorflow.ConstFromProto(Scope scope,
TensorProto proto) |
static Output |
tensorflow.NoGradient()
Returns a sentinel Output that represents 'no gradient' (i.e.
|
static Output |
tensorflow.NoGradient()
Returns a sentinel Output that represents 'no gradient' (i.e.
|
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