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device_batchnorm_infer.hpp
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std::unique_ptr< DeviceBatchNormInfer< XDataType, YDataType, AccDataType, ScaleDataType, BiasDataType, MeanVarDataType, YElementwiseOp, Rank, NumBatchNormReduceDim > > DeviceBatchNormInferPtr
Definition: device_batchnorm_infer.hpp:65
Definition: ck.hpp:264
Definition: device_base.hpp:76
Definition: device_batchnorm_infer.hpp:26
virtual std::unique_ptr< BaseInvoker > MakeInvokerPointer()=0
virtual std::unique_ptr< BaseArgument > MakeArgumentPointer(const std::array< index_t, Rank > xyLengths, const std::array< index_t, Rank > xStrides, const std::array< index_t, Rank > yStrides, const std::array< int, NumBatchNormReduceDim > reduceDims, const std::array< index_t, Rank - NumBatchNormReduceDim > bnScaleBiasMeanVarLengths, const std::array< index_t, Rank - NumBatchNormReduceDim > bnScaleStrides, const std::array< index_t, Rank - NumBatchNormReduceDim > bnBiasStrides, const std::array< index_t, Rank - NumBatchNormReduceDim > bnMeanVarStrides, const void *p_x, const void *bnScale, const void *bnBias, double epsilon, const YElementwiseOp y_elementwise_op, const void *estimatedMean, const void *estimatedInvVariance, void *p_y)=0