52 bool reluFloat(const T* inputData, const Shape& inputShape, T* outputData, const Shape& outputShape,  in reluFloat()  argument
56     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in reluFloat()
58                 std::min(std::max(reluMin, static_cast<float>(*inputData)), reluMax));  in reluFloat()
62 template bool reluFloat<float>(const float* inputData, const Shape& inputShape, float* outputData,
64 template bool reluFloat<_Float16>(const _Float16* inputData, const Shape& inputShape,
69 bool relu1Float(const T* inputData, const Shape& inputShape, T* outputData,  in relu1Float()  argument
71     return reluFloat(inputData, inputShape, outputData, outputShape, -1.f, 1.f);  in relu1Float()
73 template bool relu1Float<float>(const float* inputData, const Shape& inputShape, float* outputData,
75 template bool relu1Float<_Float16>(const _Float16* inputData, const Shape& inputShape,
79 bool relu6Float(const T* inputData, const Shape& inputShape, T* outputData,  in relu6Float()  argument
81     return reluFloat(inputData, inputShape, outputData, outputShape, 0.f, 6.f);  in relu6Float()
83 template bool relu6Float<float>(const float* inputData, const Shape& inputShape, float* outputData,
85 template bool relu6Float<_Float16>(const _Float16* inputData, const Shape& inputShape,
88 bool tanhFloat16(const _Float16* inputData, const Shape& inputShape, _Float16* outputData,  in tanhFloat16()  argument
92     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in tanhFloat16()
93         *outputData = static_cast<_Float16>(std::tanh(static_cast<float>(*inputData)));  in tanhFloat16()
98 bool tanhFloat32(const float* inputData, const Shape& inputShape, float* outputData,  in tanhFloat32()  argument
102     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in tanhFloat32()
103         *outputData = std::tanh(*inputData);  in tanhFloat32()
109 bool logisticFloat(const T* inputData, const Shape& inputShape, T* outputData,  in logisticFloat()  argument
113     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in logisticFloat()
114         *outputData = static_cast<T>(1.f / (1.f + std::exp(static_cast<float>(-*inputData))));  in logisticFloat()
118 template bool logisticFloat<float>(const float* inputData, const Shape& inputShape,
120 template bool logisticFloat<_Float16>(const _Float16* inputData, const Shape& inputShape,
124 inline bool reluXQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in reluXQuant8()  argument
133     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in reluXQuant8()
135                                std::max((uint8_t)output_activation_min, *inputData));  in reluXQuant8()
140 bool reluQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in reluQuant8()  argument
143     return reluXQuant8<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8()
146 bool relu1Quant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in relu1Quant8()  argument
149     return reluXQuant8<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8()
152 bool relu6Quant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in relu6Quant8()  argument
155     return reluXQuant8<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8()
158 bool tanhQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in tanhQuant8()  argument
181     tflite::optimized_ops::Tanh(inputData, convertShapeToTflshape(inputShape), inputShape.offset,  in tanhQuant8()
188 bool logisticQuant8(const uint8_t* inputData, const Shape& inputShape, uint8_t* outputData,  in logisticQuant8()  argument
212             inputData, convertShapeToTflshape(inputShape), inputShape.offset, input_range_radius,  in logisticQuant8()
219 inline bool reluXQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in reluXQuant8Signed()  argument
228     for (int i = 0; i < numElements; i++, inputData++, outputData++) {  in reluXQuant8Signed()
230                                std::max((int8_t)output_activation_min, *inputData));  in reluXQuant8Signed()
235 bool reluQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in reluQuant8Signed()  argument
238     return reluXQuant8Signed<kActivationRelu>(inputData, inputShape, outputData, outputShape);  in reluQuant8Signed()
241 bool relu1Quant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in relu1Quant8Signed()  argument
244     return reluXQuant8Signed<kActivationRelu1>(inputData, inputShape, outputData, outputShape);  in relu1Quant8Signed()
247 bool relu6Quant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in relu6Quant8Signed()  argument
250     return reluXQuant8Signed<kActivationRelu6>(inputData, inputShape, outputData, outputShape);  in relu6Quant8Signed()
253 bool tanhQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in tanhQuant8Signed()  argument
277                                         input_left_shift, numElements, inputData, outputData);  in tanhQuant8Signed()
282 bool logisticQuant8Signed(const int8_t* inputData, const Shape& inputShape, int8_t* outputData,  in logisticQuant8Signed()  argument
306                                             input_left_shift, numElements, inputData, outputData);  in logisticQuant8Signed()
326 bool hardSwishQuant(const T* inputData, const Shape& inputShape, T* outputData,  in hardSwishQuant()  argument
352     tflite::reference_ops::HardSwish(params, convertShapeToTflshape(inputShape), inputData,  in hardSwishQuant()