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Method addConvolution

include/NvInfer.h:6941–6945  ·  view source on GitHub ↗

\brief Add a convolution layer to the network. \param input The input tensor to the convolution. \param nbOutputMaps The number of output feature maps for the convolution. \param kernelSize The HW-dimensions of the convolution kernel. \param kernelWeights The kernel weights for the convolution. \param biasWeights The bias weights for the convolution. Weights{} represents no bias. \see IConvoluti

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6939 //! \deprecated Superseded by addConvolutionNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
6940 //!
6941 TRT_DEPRECATED IConvolutionLayer* addConvolution(
6942 ITensor& input, int32_t nbOutputMaps, DimsHW kernelSize, Weights kernelWeights, Weights biasWeights) noexcept
6943 {
6944 return mImpl->addConvolution(input, nbOutputMaps, kernelSize, kernelWeights, biasWeights);
6945 }
6946
6947 //!
6948 //! \brief Add a fully connected layer to the network.

Callers 2

add_convolutionFunction · 0.80
parseConvolutionFunction · 0.80

Calls

no outgoing calls

Tested by

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