|
template<typename T > |
void | nnfw::cker::PortableCwiseClipping (T *vector, const int v_size, const T clipping_value) |
|
void | nnfw::cker::PortableVectorBatchVectorAssign (const float *vector, int v_size, int n_batch, float *batch_vector) |
|
void | nnfw::cker::PortableVectorBatchVectorAdd (const float *vector, int v_size, int n_batch, float *batch_vector) |
|
bool | nnfw::cker::PortableIsZeroVector (const float *vector, int v_size) |
|
void | nnfw::cker::PortableApplyActivationToVector (const float *vector, int v_size, FusedActivationFunctionType activation, float *result) |
|
void | nnfw::cker::PortableSub1Vector (const float *vector, int v_size, float *result) |
|
void | nnfw::cker::PortableSymmetricQuantizeFloats (const float *values, const int size, int8_t *quantized_values, float *min_value, float *max_value, float *scaling_factor) |
|
void | nnfw::cker::PortableAsymmetricQuantizeFloats (const float *values, const int size, int8_t *quantized_values, float *scaling_factor, int32_t *offset) |
|
void | nnfw::cker::PortableMatrixBatchVectorMultiplyAccumulate (const int8_t *__restrict__ matrix, const int m_rows, const int m_cols, const int8_t *__restrict__ vectors, const float *scaling_factors, int n_batch, float *__restrict__ result, int result_stride) |
|
void | nnfw::cker::PortableMatrixBatchVectorMultiplyAccumulate (const int8_t *__restrict__ matrix, const int m_rows, const int m_cols, const int8_t *__restrict__ vector, const float *scaling_factors, int n_batch, int32_t *, float *__restrict__ result, int result_stride, ruy::Context *) |
|
void | nnfw::cker::PortableMatrixBatchVectorMultiplyAccumulate (const float *matrix, int m_rows, int m_cols, const float *vector, int n_batch, float *result, int result_stride) |
|
void | nnfw::cker::PortableMeanStddevNormalization (const float *input_vector, float *output_vector, int v_size, int n_batch) |
|
void | nnfw::cker::PortableZeroVector (float *vector, int v_size) |
|