Lines Matching refs:beta
42 inline bool softmaxSlowFloat32(const float* inputData, const Shape& inputShape, const float beta, in softmaxSlowFloat32() argument
62 sum += std::exp((*p - maxValue) * beta); in softmaxSlowFloat32()
67 *pOut = std::exp((*p - maxValue) * beta) / sum; in softmaxSlowFloat32()
74 bool softmaxFloat32(const float* inputData, const Shape& inputShape, const float beta, int32_t axis, in softmaxFloat32() argument
81 tflite::SoftmaxParams param = {.beta = beta}; in softmaxFloat32()
86 return softmaxSlowFloat32(inputData, inputShape, beta, axis, outputData, outputShape); in softmaxFloat32()
90 bool softmaxFloat16(const _Float16* inputData, const Shape& inputShape, const float beta, in softmaxFloat16() argument
97 softmaxFloat32(inputData_float32.data(), inputShape, beta, axis, outputData_float32.data(), in softmaxFloat16()
104 bool softmaxQuant8Impl(const uint8_t* inputData, const Shape& inputShape, const float beta, in softmaxQuant8Impl() argument
186 bool softmaxQuant8(const uint8_t* inputData, const Shape& inputShape, const float beta, in softmaxQuant8() argument
198 std::min(1.0 * beta * inputShape.scale * (1 << (31 - kScaledDiffIntegerBits)), in softmaxQuant8()
211 tflite::SoftmaxParams param = {.beta = beta, in softmaxQuant8()
219 return softmaxQuant8Impl(inputData, inputShape, beta, axis, inputMultiplier, inputLeftShift, in softmaxQuant8()
256 float beta = (input.type == OperandType::TENSOR_FLOAT16) in prepare() local
260 NN_RET_CHECK_GT(beta, 0.0f); in prepare()