53 bool reluFloat(const T* inputData, const Shape& inputShape, T* outputData, const Shape& outputShape,  in reluFloat()  argument
64                                const Shape& outputShape, float reluMin, float reluMax);
66                                   _Float16* outputData, const Shape& outputShape, float reluMin,
71                 const Shape& outputShape) {  in relu1Float()  argument
72     return reluFloat(inputData, inputShape, outputData, outputShape, -1.f, 1.f);  in relu1Float()
75                                 const Shape& outputShape);
77                                    _Float16* outputData, const Shape& outputShape);
81                 const Shape& outputShape) {  in relu6Float()  argument
82     return reluFloat(inputData, inputShape, outputData, outputShape, 0.f, 6.f);  in relu6Float()
85                                 const Shape& outputShape);
87                                    _Float16* outputData, const Shape& outputShape);
90                  const Shape& outputShape) {  in tanhFloat16()  argument
100                  const Shape& outputShape) {  in tanhFloat32()  argument
111                    const Shape& outputShape) {  in logisticFloat()  argument
120                                    float* outputData, const Shape& outputShape);
122                                       _Float16* outputData, const Shape& outputShape);
126                         const Shape& outputShape) {  in reluXQuant8()  argument
142                 const Shape& outputShape) {  in reluQuant8()  argument
144     return reluXQuant8<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8()
148                  const Shape& outputShape) {  in relu1Quant8()  argument
150     return reluXQuant8<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8()
154                  const Shape& outputShape) {  in relu6Quant8()  argument
156     return reluXQuant8<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8()
160                 const Shape& outputShape) {  in tanhQuant8()  argument
162     if (outputShape.offset != 128 || outputShape.scale != 1.f / 128) {  in tanhQuant8()
184                                 convertShapeToTflshape(outputShape));  in tanhQuant8()
190                     const Shape& outputShape) {  in logisticQuant8()  argument
192     if (outputShape.offset != 0 || outputShape.scale != 1.f / 256) {  in logisticQuant8()
214             input_multiplier, input_left_shift, outputData, convertShapeToTflshape(outputShape));  in logisticQuant8()
221                               const Shape& outputShape) {  in reluXQuant8Signed()  argument
237                       const Shape& outputShape) {  in reluQuant8Signed()  argument
239     return reluXQuant8Signed<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8Signed()
243                        const Shape& outputShape) {  in relu1Quant8Signed()  argument
245     return reluXQuant8Signed<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8Signed()
249                        const Shape& outputShape) {  in relu6Quant8Signed()  argument
251     return reluXQuant8Signed<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8Signed()
255                       const Shape& outputShape) {  in tanhQuant8Signed()  argument
257     if (outputShape.offset != 0 || outputShape.scale != 1.f / 128) {  in tanhQuant8Signed()
279                                         inputData, convertShapeToTflshape(outputShape), outputData);  in tanhQuant8Signed()
285                           const Shape& outputShape) {  in logisticQuant8Signed()  argument
287     if (outputShape.offset != -128 || outputShape.scale != 1.f / 256) {  in logisticQuant8Signed()
329                     const Shape& outputShape) {  in hardSwishQuant()  argument
332     params.output_zero_point = outputShape.offset;  in hardSwishQuant()
336     const float output_scale = outputShape.scale;  in hardSwishQuant()
355                                      convertShapeToTflshape(outputShape), outputData);  in hardSwishQuant()
420                 auto outputShape = context->getOutputShape(kOutputTensor);  in prepare()  local
421                 output.scale = outputShape.scale;  in prepare()
422                 output.offset = outputShape.offset;  in prepare()
594             const Shape& outputShape = context->getOutputShape(kOutputTensor);  in executeHardSwish()  local
596             std::vector<float> outputFloat(getNumberOfElements(outputShape));  in executeHardSwish()
599                                              convertShapeToTflshape(outputShape),  in executeHardSwish()