PropsMLGraphBuilder extension
Methods
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abs(MLOperand x)
→ MLOperand
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add(MLOperand a, MLOperand b)
→ MLOperand
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averagePool2d(MLOperand input, [MLPool2dOptions? options])
→ MLOperand
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batchNormalization(MLOperand input, MLOperand mean, MLOperand variance, [MLBatchNormalizationOptions? options])
→ MLOperand
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build(dynamic outputs)
→ MLGraph
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buildAsync(dynamic outputs)
→ Future<MLGraph>
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ceil(MLOperand x)
→ MLOperand
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clamp([MLOperand? x, MLClampOptions? options])
→ MLOperand
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concat(Iterable<MLOperand> inputs, int axis)
→ MLOperand
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constant(MLOperandDescriptor desc, dynamic bufferView)
→ MLOperand
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conv2d(MLOperand input, MLOperand filter, [MLConv2dOptions? options])
→ MLOperand
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convTranspose2d(MLOperand input, MLOperand filter, [MLConvTranspose2dOptions? options])
→ MLOperand
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cos(MLOperand x)
→ MLOperand
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div(MLOperand a, MLOperand b)
→ MLOperand
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elu([MLOperand? x, MLEluOptions? options])
→ MLOperand
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exp(MLOperand x)
→ MLOperand
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floor(MLOperand x)
→ MLOperand
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gemm(MLOperand a, MLOperand b, [MLGemmOptions? options])
→ MLOperand
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gru(MLOperand input, MLOperand weight, MLOperand recurrentWeight, int steps, int hiddenSize, [MLGruOptions? options])
→ Iterable<MLOperand>
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gruCell(MLOperand input, MLOperand weight, MLOperand recurrentWeight, MLOperand hiddenState, int hiddenSize, [MLGruCellOptions? options])
→ MLOperand
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hardSigmoid([MLOperand? x, MLHardSigmoidOptions? options])
→ MLOperand
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hardSwish([MLOperand? x])
→ MLOperand
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input(String name, MLOperandDescriptor desc)
→ MLOperand
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instanceNormalization(MLOperand input, [MLInstanceNormalizationOptions? options])
→ MLOperand
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l2Pool2d(MLOperand input, [MLPool2dOptions? options])
→ MLOperand
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leakyRelu([MLOperand? x, MLLeakyReluOptions? options])
→ MLOperand
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linear([MLOperand? x, MLLinearOptions? options])
→ MLOperand
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log(MLOperand x)
→ MLOperand
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matmul(MLOperand a, MLOperand b)
→ MLOperand
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max(MLOperand a, MLOperand b)
→ MLOperand
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maxPool2d(MLOperand input, [MLPool2dOptions? options])
→ MLOperand
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min(MLOperand a, MLOperand b)
→ MLOperand
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mul(MLOperand a, MLOperand b)
→ MLOperand
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neg(MLOperand x)
→ MLOperand
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pad(MLOperand input, MLOperand padding, [MLPadOptions? options])
→ MLOperand
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pow(MLOperand a, MLOperand b)
→ MLOperand
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reduceL1(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceL2(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceLogSum(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceLogSumExp(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceMax(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceMean(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceMin(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceProduct(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceSum(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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reduceSumSquare(MLOperand input, [MLReduceOptions? options])
→ MLOperand
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relu([MLOperand? x])
→ MLOperand
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resample2d(MLOperand input, [MLResample2dOptions? options])
→ MLOperand
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reshape(MLOperand input, Iterable<int> newShape)
→ MLOperand
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sigmoid([MLOperand? x])
→ MLOperand
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sin(MLOperand x)
→ MLOperand
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slice(MLOperand input, Iterable<int> starts, Iterable<int> sizes, [MLSliceOptions? options])
→ MLOperand
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softmax(MLOperand x)
→ MLOperand
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softplus([MLOperand? x, MLSoftplusOptions? options])
→ MLOperand
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softsign([MLOperand? x])
→ MLOperand
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split(MLOperand input, dynamic splits, [MLSplitOptions? options])
→ Iterable<MLOperand>
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squeeze(MLOperand input, [MLSqueezeOptions? options])
→ MLOperand
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sub(MLOperand a, MLOperand b)
→ MLOperand
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tan(MLOperand x)
→ MLOperand
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tanh([MLOperand? x])
→ MLOperand
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transpose(MLOperand input, [MLTransposeOptions? options])
→ MLOperand
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