32                                          int32_t shift, int32_t n_batch, int32_t n_input,  in MatrixBatchVectorMultiplyAccumulate()  argument
39             for (int col = 0; col < n_input; ++col) {  in MatrixBatchVectorMultiplyAccumulate()
40                 int8_t input_val = input[batch * n_input + col];  in MatrixBatchVectorMultiplyAccumulate()
41                 int8_t weights_val = input_to_gate_weights[row * n_input + col];  in MatrixBatchVectorMultiplyAccumulate()
138                     int n_batch, int n_input, int16_t* output);
147 void ApplySigmoid(const int16_t* input, int32_t n_batch, int32_t n_input, int16_t* output);
150 void ApplyTanh(const int16_t* input, int32_t n_batch, int32_t n_input, int16_t* output) {  in ApplyTanh()  argument
154         for (int i = 0; i < n_input; ++i) {  in ApplyTanh()
155             const int index = batch * n_input + i;  in ApplyTanh()
163 inline void ApplyTanh(int32_t integer_bits, const int16_t* input, int32_t n_batch, int32_t n_input,  in ApplyTanh()  argument
168         ApplyTanh<i>(input, n_batch, n_input, output); \  in ApplyTanh()
184 void CwiseMul(const int16_t* input_1, const int16_t* input_2, int n_batch, int n_input, int shift,
187               int32_t n_batch, int32_t n_input, int32_t output_zp, int8_t* output);
191 void CwiseAdd(const int16_t* input_1, const int16_t* input_2, int n_batch, int n_input,
201 void CwiseClipping(int16_t* input, const int16_t clipping_value, int32_t n_batch, int32_t n_input);
203 void CwiseClipping(int8_t* input, const int8_t clipping_value, int32_t n_batch, int32_t n_input);