165               const Shape& filterShape, const float* biasData, const Shape& biasShape,  in convNhwc()  argument
182                                 convertShapeToDims(biasShape), stride_width, stride_height,  in convNhwc()
190               const Shape& filterShape, const int32_t* biasData, const Shape& biasShape,  in convNhwc()  argument
209     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape,  in convNhwc()
228             convertShapeToDims(filterShape), filterOffset, biasData, convertShapeToDims(biasShape),  in convNhwc()
237               const Shape& filterShape, const _Float16* biasData, const Shape& biasShape,  in convNhwc()  argument
246     std::vector<float> biasData_float32(getNumberOfElements(biasShape));  in convNhwc()
254              biasData_float32.data(), biasShape, padding_left, padding_right, padding_top,  in convNhwc()
264           const Shape& filterShape, const T_Bias* biasData, const Shape& biasShape,  in conv()  argument
274                           biasData, biasShape, padding_left, padding_right, padding_top,  in conv()
285                               const Shape& biasShape, int32_t paddingLeft, int32_t paddingRight,  in convQuant8PerChannelNhwc()  argument
313         Shape biasChannelShape = biasShape;  in convQuant8PerChannelNhwc()
378                           const Shape& biasShape, int32_t paddingLeft, int32_t paddingRight,  in convQuant8PerChannel()  argument
389             biasData, biasShape, paddingLeft, paddingRight, paddingTop, paddingBottom, strideWidth,  in convQuant8PerChannel()