com.intel.analytics.bigdl.nn.abstractnn

InferShape

trait InferShape extends AnyRef

Linear Supertypes
AnyRef, Any
Known Subclasses
Abs, AbstractModule, Activation, ActivityRegularization, Adapter, Add, AddConstant, All, Any, ApproximateEqual, ArgMax, AtrousConvolution1D, AtrousConvolution2D, AveragePooling1D, AveragePooling2D, AveragePooling3D, AvgPooling, BatchMatMul, BatchNormalization, BatchNormalization, BiRecurrent, BiasAdd, Bidirectional, BifurcateSplitTable, Bilinear, BinaryThreshold, BinaryTreeLSTM, Bottle, BucketizedCol, CAdd, CAddTable, CAddTable, CAveTable, CDivTable, CMaxTable, CMinTable, CMul, CMulTable, CSubTable, Cast, CategoricalColHashBucket, CategoricalColVocaList, Ceil, Cell, Clamp, Compare, Concat, ConcatTable, ConcatTable, ConcatV2LoadTF, Container, Contiguous, ControlOps, ConvLSTM2D, ConvLSTMPeephole, ConvLSTMPeephole3D, Convolution1D, Convolution2D, Convolution3D, Cosine, CosineDistance, Cropping1D, Cropping2D, Cropping2D, Cropping3D, Cropping3D, CrossCol, CrossEntropy, CrossProduct, Deconvolution2D, Dense, DenseToSparse, DepthwiseConv2D, DetectionOutputFrcnn, DetectionOutputSSD, Digamma, Dilation2D, DotProduct, Dropout, Dropout, DynamicContainer, ELU, ELU, Echo, Embedding, Equal, Erf, Erfc, Euclidean, Exp, Exp, ExpandDimsLoadTF, Expm1, Flatten, FlattenTable, Floor, FloorDiv, FloorMod, GRU, GRU, Gather, GaussianDropout, GaussianDropout, GaussianNoise, GaussianNoise, GaussianSampler, GlobalAveragePooling1D, GlobalAveragePooling2D, GlobalAveragePooling3D, GlobalMaxPooling1D, GlobalMaxPooling2D, GlobalMaxPooling3D, GlobalPooling1D, GlobalPooling2D, GlobalPooling3D, GradientReversal, Graph, Greater, GreaterEqual, HardShrink, HardSigmoid, HardTanh, Highway, Identity, Identity, IdentityControl, IdentityOutputShape, InTopK, Index, IndicatorCol, InferReshape, Input, Input, Input, Inv, IsFinite, IsInf, IsNan, JoinTable, JoinTable, KerasIdentityWrapper, KerasLayer, KerasLayerWrapper, KerasModel, Kv2Tensor, L1Penalty, L2Loss, LRN, LSTM, LSTM, LSTMPeephole, LeakyReLU, LeakyReLU, Less, LessEqual, Lgamma, Linear, Linear, LocallyConnected1D, LocallyConnected1D, LocallyConnected2D, LocallyConnected2D, Log, Log1p, LogSigmoid, LogSoftMax, LogicalAnd, LogicalNot, LogicalOr, LookupTable, LookupTableSparse, MM, MV, MapTable, MaskedSelect, Masking, Masking, Max, Max, MaxPooling, MaxPooling1D, MaxPooling2D, MaxPooling3D, Maximum, Maxout, MaxoutDense, Mean, MeanLoadTF, Merge, Min, Minimum, MixtureTable, MkString, MklDnnContainer, MklDnnLayer, Mod, Model, ModuleToOperation, Mul, MulConstant, MultiRNNCell, Narrow, NarrowTable, Negative, NegativeEntropyPenalty, Normalize, NormalizeScale, NotEqual, OneHot, Operation, PReLU, Pack, Pad, PadLoadTF, Padding, PairwiseDistance, ParallelTable, Permute, Pooling1D, Pooling2D, Pooling3D, Pow, Power, PriorBox, Prod, ProdLoadTF, Proposal, QuantizedModule, RReLU, RandomUniform, RangeOps, Rank, ReLU, ReLU, ReLU6, Recurrent, Recurrent, RecurrentDecoder, ReorderMemory, RepeatVector, Replicate, Reshape, Reshape, ReshapeLoadTF, ResizeBilinear, ResizeBilinearOps, Reverse, Rint, RnnCell, RoiPooling, Round, SReLU, SReLU, Scale, SegmentSum, Select, Select, SelectTable, SelectTable, SelectTensor, SeparableConvolution2D, Sequential, Sequential, Sequential, Sigmoid, Sign, SimpleRNN, Slice, SliceLoadTF, SoftMax, SoftMax, SoftMax, SoftMin, SoftPlus, SoftShrink, SoftSign, SparseJoinTable, SparseLinear, SpatialAveragePooling, SpatialBatchNormalization, SpatialBatchNormalization, SpatialContrastiveNormalization, SpatialConvolution, SpatialConvolution, SpatialConvolutionMap, SpatialCrossMapLRN, SpatialDilatedConvolution, SpatialDivisiveNormalization, SpatialDropout1D, SpatialDropout1D, SpatialDropout2D, SpatialDropout2D, SpatialDropout3D, SpatialDropout3D, SpatialFullConvolution, SpatialMaxPooling, SpatialSeparableConvolution, SpatialShareConvolution, SpatialSubtractiveNormalization, SpatialWithinChannelLRN, SpatialZeroPadding, SplitLoadTF, SplitTable, Sqrt, SqrtGrad, Square, SquaredDifference, Squeeze, StaticGraph, Substr, Sum, Sum, Tanh, TanhShrink, TemporalConvolution, TemporalMaxPooling, TensorModule, TensorModuleWrapper, TensorOp, Threshold, ThresholdedReLU, Tile, Tile, TimeDistributed, TimeDistributed, TopK, TopKV2LoadTF, Transpose, TransposeLoadTF, TreeLSTM, TruncateDiv, TruncatedNormal, Unsqueeze, UpSampling1D, UpSampling1D, UpSampling2D, UpSampling2D, UpSampling3D, UpSampling3D, View, VolumetricAveragePooling, VolumetricConvolution, VolumetricFullConvolution, VolumetricMaxPooling, ZeroPadding1D, ZeroPadding2D, ZeroPadding3D
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  1. final def !=(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  12. final def getInputShape(): Shape

    Return the inputShape for the current Layer and the first dim is batch.

  13. final def getOutputShape(): Shape

    Return the outputShape for the current Layer and the first dim is batch.

  14. def hashCode(): Int

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  16. final def ne(arg0: AnyRef): Boolean

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