59                            float* outputData, const Shape& outputShape) {  in fullyConnectedFloat32()  argument
66     uint32_t batch_size = getSizeOfDimension(outputShape, 0);  in fullyConnectedFloat32()
74                                               outputData, convertShapeToDims(outputShape));  in fullyConnectedFloat32()
81                                               outputData, convertShapeToDims(outputShape));  in fullyConnectedFloat32()
89                            _Float16* outputData, const Shape& outputShape) {  in fullyConnectedFloat16()  argument
98     std::vector<float> outputDataFloat32(getNumberOfElements(outputShape));  in fullyConnectedFloat16()
101                           outputDataFloat32.data(), outputShape);  in fullyConnectedFloat16()
110                           uint8_t* outputData, const Shape& outputShape) {  in fullyConnectedQuant8()  argument
114     int32_t outputOffset = outputShape.offset;  in fullyConnectedQuant8()
122     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, weightsShape, biasShape, outputShape,  in fullyConnectedQuant8()
127     CalculateActivationRangeUint8(activation, outputShape, &outputActivationMin,  in fullyConnectedQuant8()
143                                           convertShapeToDims(outputShape), &gemmContext);  in fullyConnectedQuant8()
151                           int8_t* outputData, const Shape& outputShape) {  in fullyConnectedQuant8()  argument
160     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, weightsShape, biasShape, outputShape,  in fullyConnectedQuant8()
163     CalculateActivationRangeInt8(activation, outputShape, &outputActivationMin,  in fullyConnectedQuant8()
169     params.output_offset = outputShape.offset;  in fullyConnectedQuant8()
179             biasData, convertShapeToTflshape(outputShape), outputData);  in fullyConnectedQuant8()