import { tensor } from "https://deno.land/x/netsaur@0.4.2/packages/core/mod.ts";
Create an nth rank tensor from the given nthD array and shape.
tensor([1, 2, 3, 4], [2, 2]);
Type Parameters
R extends Rank
Parameters
tensorLike: TensorLike<R>
srcSequentialTensorAdamOptimizerConfigBackendDataSetDecaySchedulerConfigNetworkConfigNeuralNetworkOneCycleSchedulerConfigRMSPropOptimizerConfigTensorLikeArray1DArray2DArray3DArray4DArray5DArray6DArrayMapOptimizerPaddingPostProcessorSchedulerShapeShape1DShape2DShape3DShape4DShape5DShape6DAUTOCPUGPUWASMAdamOptimizerAveragePool2DLayerBatchNorm1DLayerBatchNorm2DLayerConv1DLayerConv2DLayerConvTranspose1DLayerConvTranspose2DLayerDenseLayerDropout1DLayerDropout2DLayerEluLayerEmbeddingLayerExponentialDecayFlattenLayerGeluLayerLeakyReluLayerLinearDecayLSTMLayerMaxPool2DLayerNadamOptimizerNoSchedulerOneCycleOPTIONPool2DLayerPostProcessRelu6LayerReluLayerRMSPropOptimizerSeluLayersetupBackendSGDOptimizerSigmoidLayerSoftmaxLayerTanhLayertensortensor1Dtensor2Dtensor3Dtensor4Dtensor5Dtensor6DActivationBackendTypeCostInitLayerTypeOptimizerTypeRankSchedulerType
mod.ts (default module)
c
c
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