52 bool reluFloat(const T* inputData, const Shape& inputShape, T* outputData, const Shape& outputShape,  in reluFloat()  argument
63                                const Shape& outputShape, float reluMin, float reluMax);
65                                   _Float16* outputData, const Shape& outputShape, float reluMin,
70                 const Shape& outputShape) {  in relu1Float()  argument
71     return reluFloat(inputData, inputShape, outputData, outputShape, -1.f, 1.f);  in relu1Float()
74                                 const Shape& outputShape);
76                                    _Float16* outputData, const Shape& outputShape);
80                 const Shape& outputShape) {  in relu6Float()  argument
81     return reluFloat(inputData, inputShape, outputData, outputShape, 0.f, 6.f);  in relu6Float()
84                                 const Shape& outputShape);
86                                    _Float16* outputData, const Shape& outputShape);
89                  const Shape& outputShape) {  in tanhFloat16()  argument
99                  const Shape& outputShape) {  in tanhFloat32()  argument
110                    const Shape& outputShape) {  in logisticFloat()  argument
119                                    float* outputData, const Shape& outputShape);
121                                       _Float16* outputData, const Shape& outputShape);
125                         const Shape& outputShape) {  in reluXQuant8()  argument
141                 const Shape& outputShape) {  in reluQuant8()  argument
143     return reluXQuant8<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8()
147                  const Shape& outputShape) {  in relu1Quant8()  argument
149     return reluXQuant8<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8()
153                  const Shape& outputShape) {  in relu6Quant8()  argument
155     return reluXQuant8<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8()
159                 const Shape& outputShape) {  in tanhQuant8()  argument
161     if (outputShape.offset != 128 || outputShape.scale != 1.f / 128) {  in tanhQuant8()
183                                 convertShapeToTflshape(outputShape));  in tanhQuant8()
189                     const Shape& outputShape) {  in logisticQuant8()  argument
191     if (outputShape.offset != 0 || outputShape.scale != 1.f / 256) {  in logisticQuant8()
213             input_multiplier, input_left_shift, outputData, convertShapeToTflshape(outputShape));  in logisticQuant8()
220                               const Shape& outputShape) {  in reluXQuant8Signed()  argument
236                       const Shape& outputShape) {  in reluQuant8Signed()  argument
238     return reluXQuant8Signed<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8Signed()
242                        const Shape& outputShape) {  in relu1Quant8Signed()  argument
244     return reluXQuant8Signed<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8Signed()
248                        const Shape& outputShape) {  in relu6Quant8Signed()  argument
250     return reluXQuant8Signed<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8Signed()
254                       const Shape& outputShape) {  in tanhQuant8Signed()  argument
256     if (outputShape.offset != 0 || outputShape.scale != 1.f / 128) {  in tanhQuant8Signed()
283                           const Shape& outputShape) {  in logisticQuant8Signed()  argument
285     if (outputShape.offset != -128 || outputShape.scale != 1.f / 256) {  in logisticQuant8Signed()
327                     const Shape& outputShape) {  in hardSwishQuant()  argument
330     params.output_zero_point = outputShape.offset;  in hardSwishQuant()
334     const float output_scale = outputShape.scale;  in hardSwishQuant()
353                                      convertShapeToTflshape(outputShape), outputData);  in hardSwishQuant()
410                 auto outputShape = context->getOutputShape(kOutputTensor);  in prepare()  local
411                 output.scale = outputShape.scale;  in prepare()
412                 output.offset = outputShape.offset;  in prepare()
584             const Shape& outputShape = context->getOutputShape(kOutputTensor);  in executeHardSwish()  local
586             std::vector<float> outputFloat(getNumberOfElements(outputShape));  in executeHardSwish()
589                                              convertShapeToTflshape(outputShape),  in executeHardSwish()