BNNSGraph.Builder.Tensor
A structure that represents an abstract handle to a tensor that you use within a BNNSGraph.makeContext closure.
Declaration
struct Tensor<T> where T : BNNSScalarTopics
Operators
Instance Properties
Instance Methods
abs()acos()acosh()argMax(axis:keepDimension:)argMin(axis:keepDimension:)argSort(axis:sortOrder:)asin()asinh()atan()atanh()batchNorm(mean:variance:epsilon:)batchNorm(mean:variance:weight:bias:epsilon:)bidirectionalLSTM(initialHiddenStates:initialCellStates:inputHiddenWeight:hiddenHiddenWeight:bias:inputHiddenWeightBack:hiddenHiddenWeightBack:biasBack:activation:recurrentActivation:cellActivation:outputSequence:)cast(to:)ceil()channelNorm(epsilon:)channelNorm(weight:bias:epsilon:)clampedReLU(alpha:beta:)clip(to:)conv(weight:strides:bias:padding:dilations:groupCount:)conv(weight:strides:padding:dilations:groupCount:)convTranspose(weight:strides:bias:padding:outputPaddingValues:dilations:groupCount:)convTranspose(weight:strides:padding:outputPaddingValues:dilations:groupCount:)cos()cosh()cumulativeSum(axis:)elu(alpha:)erf()exp()exp2()floor()fma(y:z:)gather(indices:axis:batchDimensionCount:)gatherAlongAxis(indices:axis:)gatherND(indices:batchDimensionCount:)gelu()geluSigmoidApproximation()geluTanhApproximation()gru(initialHiddenStates:inputHiddenWeight:hiddenHiddenWeight:bias:inputBias:direction:activation:recurrentActivation:applyResetGateAfterMatMul:outputSequence:)hardSigmoid(alpha:beta:)hardSwish()instanceNorm(epsilon:)instanceNorm(weight:bias:epsilon:)l1Norm(axes:keepDimensions:)l2Norm(axes:keepDimensions:)l2Norm(epsilon:)layerNorm(axes:epsilon:)layerNorm(weight:bias:axes:epsilon:)leakyReLU(alpha:)linear(weight:)linear(weight:bias:)log(epsilon:)logSoftmax(axis:)logSum(axes:keepDimensions:)logSumExp(axes:keepDimensions:)lstm(initialHiddenStates:initialCellStates:inputHiddenWeight:hiddenHiddenWeight:bias:direction:activation:recurrentActivation:cellActivation:outputSequence:)matmul(transpose:other:transposeOther:)matmul(transpose:other:transposeOther:bias:)max(y:)maximum(axes:keepDimensions:)mean(axes:keepDimensions:)min(y:)minimum(axes:keepDimensions:)pad(_:padding:)pooling(_:kernelSize:strides:padding:ceilingMode:)pow(y:)prelu(alpha:)product(axes:keepDimensions:)reciprocal(epsilon:)relu()relu6()reshape(to:)reshape(to:)rmsNorm(scale:epsilon:)rnn(initialHiddenStates:inputHiddenWeight:hiddenHiddenWeight:bias:direction:activation:outputSequence:)round()rsqrt(epsilon:)scaledTanh(alpha:beta:)scatter(updates:indices:mode:axis:)scatterAlongAxis(updates:indices:mode:axis:)scatterND(updates:indices:mode:)select(_:_:)select(_:_:)select(_:_:)sigmoid()silu()sin()sinh()softmax(axis:)softplus(alpha:)softsign()sqrt()squeeze(axis:)sum(axes:keepDimensions:)sumOfSquares(axes:keepDimensions:)tan()tanh()tensorShape()threshold(to:)thresholdedReLU(alpha:)topK(_:axis:findLargest:)transpose(axes:)unsqueeze(axis:)