53 bool reluFloat(const T* inputData, const Shape& inputShape, T* outputData, const Shape& outputShape,  in reluFloat()  argument
57     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in reluFloat()
59                 std::min(std::max(reluMin, static_cast<float>(*inputData)), reluMax));  in reluFloat()
63 template bool reluFloat<float>(const float* inputData, const Shape& inputShape, float* outputData,
65 template bool reluFloat<_Float16>(const _Float16* inputData, const Shape& inputShape,
70 bool relu1Float(const T* inputData, const Shape& inputShape, T* outputData,  in relu1Float()  argument
72     return reluFloat(inputData, inputShape, outputData, outputShape, -1.f, 1.f);  in relu1Float()
74 template bool relu1Float<float>(const float* inputData, const Shape& inputShape, float* outputData,
76 template bool relu1Float<_Float16>(const _Float16* inputData, const Shape& inputShape,
80 bool relu6Float(const T* inputData, const Shape& inputShape, T* outputData,  in relu6Float()  argument
82     return reluFloat(inputData, inputShape, outputData, outputShape, 0.f, 6.f);  in relu6Float()
84 template bool relu6Float<float>(const float* inputData, const Shape& inputShape, float* outputData,
86 template bool relu6Float<_Float16>(const _Float16* inputData, const Shape& inputShape,
89 bool tanhFloat16(const _Float16* inputData, const Shape& inputShape, _Float16* outputData,  in tanhFloat16()  argument
93     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in tanhFloat16()
94         *outputData = static_cast<_Float16>(std::tanh(static_cast<float>(*inputData)));  in tanhFloat16()
99 bool tanhFloat32(const float* inputData, const Shape& inputShape, float* outputData,  in tanhFloat32()  argument
103     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in tanhFloat32()
104         *outputData = std::tanh(*inputData);  in tanhFloat32()
110 bool logisticFloat(const T* inputData, const Shape& inputShape, T* outputData,  in logisticFloat()  argument
114     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in logisticFloat()
115         *outputData = static_cast<T>(1.f / (1.f + std::exp(static_cast<float>(-*inputData))));  in logisticFloat()
119 template bool logisticFloat<float>(const float* inputData, const Shape& inputShape,
121 template bool logisticFloat<_Float16>(const _Float16* inputData, const Shape& inputShape,
125 inline bool reluXQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in reluXQuant8()  argument
134     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in reluXQuant8()
136                                std::max((uint8_t)output_activation_min, *inputData));  in reluXQuant8()
141 bool reluQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in reluQuant8()  argument
144     return reluXQuant8<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8()
147 bool relu1Quant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in relu1Quant8()  argument
150     return reluXQuant8<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8()
153 bool relu6Quant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in relu6Quant8()  argument
156     return reluXQuant8<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8()
159 bool tanhQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in tanhQuant8()  argument
182     tflite::optimized_ops::Tanh(inputData, convertShapeToTflshape(inputShape), inputShape.offset,  in tanhQuant8()
189 bool logisticQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in logisticQuant8()  argument
213             inputData, convertShapeToTflshape(inputShape), inputShape.offset, input_range_radius,  in logisticQuant8()
220 inline bool reluXQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in reluXQuant8Signed()  argument
229     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in reluXQuant8Signed()
231                                std::max((int8_t)output_activation_min, *inputData));  in reluXQuant8Signed()
236 bool reluQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in reluQuant8Signed()  argument
239     return reluXQuant8Signed<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8Signed()
242 bool relu1Quant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in relu1Quant8Signed()  argument
245     return reluXQuant8Signed<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8Signed()
248 bool relu6Quant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in relu6Quant8Signed()  argument
251     return reluXQuant8Signed<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8Signed()
254 bool tanhQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in tanhQuant8Signed()  argument
279                                         inputData, convertShapeToTflshape(outputShape), outputData);  in tanhQuant8Signed()
284 bool logisticQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in logisticQuant8Signed()  argument
308                                             input_left_shift, numElements, inputData, outputData);  in logisticQuant8Signed()
328 bool hardSwishQuant(const T* inputData, const Shape& inputShape, T* outputData,  in hardSwishQuant()  argument
354     tflite::reference_ops::HardSwish(params, convertShapeToTflshape(inputShape), inputData,  in hardSwishQuant()