SVDF Functions

riscv_nmsis_nn_status riscv_svdf_s8(const nmsis_nn_context *ctx, const nmsis_nn_context *input_ctx, const nmsis_nn_context *output_ctx, const nmsis_nn_svdf_params *svdf_params, const nmsis_nn_per_tensor_quant_params *input_quant_params, const nmsis_nn_per_tensor_quant_params *output_quant_params, const nmsis_nn_dims *input_dims, const int8_t *input_data, const nmsis_nn_dims *state_dims, int8_t *state_data, const nmsis_nn_dims *weights_feature_dims, const int8_t *weights_feature_data, const nmsis_nn_dims *weights_time_dims, const int8_t *weights_time_data, const nmsis_nn_dims *bias_dims, const int32_t *bias_data, const nmsis_nn_dims *output_dims, int8_t *output_data)
riscv_nmsis_nn_status riscv_svdf_state_s16_s8(const nmsis_nn_context *input_ctx, const nmsis_nn_context *output_ctx, const nmsis_nn_svdf_params *svdf_params, const nmsis_nn_per_tensor_quant_params *input_quant_params, const nmsis_nn_per_tensor_quant_params *output_quant_params, const nmsis_nn_dims *input_dims, const int8_t *input_data, const nmsis_nn_dims *state_dims, int16_t *state_data, const nmsis_nn_dims *weights_feature_dims, const int8_t *weights_feature_data, const nmsis_nn_dims *weights_time_dims, const int16_t *weights_time_data, const nmsis_nn_dims *bias_dims, const int32_t *bias_data, const nmsis_nn_dims *output_dims, int8_t *output_data)
group SVDF

Functions

riscv_nmsis_nn_status riscv_svdf_s8(const nmsis_nn_context *ctx, const nmsis_nn_context *input_ctx, const nmsis_nn_context *output_ctx, const nmsis_nn_svdf_params *svdf_params, const nmsis_nn_per_tensor_quant_params *input_quant_params, const nmsis_nn_per_tensor_quant_params *output_quant_params, const nmsis_nn_dims *input_dims, const int8_t *input_data, const nmsis_nn_dims *state_dims, int8_t *state_data, const nmsis_nn_dims *weights_feature_dims, const int8_t *weights_feature_data, const nmsis_nn_dims *weights_time_dims, const int8_t *weights_time_data, const nmsis_nn_dims *bias_dims, const int32_t *bias_data, const nmsis_nn_dims *output_dims, int8_t *output_data)

s8 SVDF function with 8 bit state tensor and 8 bit time weights

  1. Supported framework: TensorFlow Lite micro

Parameters

  • ctx – [inout] Function context (e.g. temporary buffer). Check the function definition file to see if an additional buffer is required. Optional function riscv_fully_connected_s8_get_buffer_size() provides the buffer size if an additional buffer is required. The caller is expected to clear the buffer, if applicable, for security reasons.

  • input_ctx – [in] Temporary scratch buffer The caller is expected to clear the buffer, if applicable, for security reasons.

  • output_ctx – [in] Temporary output scratch buffer The caller is expected to clear the buffer, if applicable, for security reasons.

  • svdf_params – [in] SVDF Parameters Range of svdf_params->input_offset : [-128, 127] Range of svdf_params->output_offset : [-128, 127]

  • input_quant_params – [in] Input quantization parameters

  • output_quant_params – [in] Output quantization parameters

  • input_dims – [in] Input tensor dimensions

  • input_data – [in] Pointer to input tensor

  • state_dims – [in] State tensor dimensions

  • state_data – [in] Pointer to state tensor

  • weights_feature_dims – [in] Weights (feature) tensor dimensions

  • weights_feature_data – [in] Pointer to the weights (feature) tensor

  • weights_time_dims – [in] Weights (time) tensor dimensions

  • weights_time_data – [in] Pointer to the weights (time) tensor

  • bias_dims – [in] Bias tensor dimensions

  • bias_data – [in] Pointer to bias tensor

  • output_dims – [in] Output tensor dimensions

  • output_data – [out] Pointer to the output tensor

Returns

The function returns either RISCV_NMSIS_NN_ARG_ERROR if argument constraints fail. or, RISCV_NMSIS_NN_SUCCESS on successful completion.

riscv_nmsis_nn_status riscv_svdf_state_s16_s8(const nmsis_nn_context *input_ctx, const nmsis_nn_context *output_ctx, const nmsis_nn_svdf_params *svdf_params, const nmsis_nn_per_tensor_quant_params *input_quant_params, const nmsis_nn_per_tensor_quant_params *output_quant_params, const nmsis_nn_dims *input_dims, const int8_t *input_data, const nmsis_nn_dims *state_dims, int16_t *state_data, const nmsis_nn_dims *weights_feature_dims, const int8_t *weights_feature_data, const nmsis_nn_dims *weights_time_dims, const int16_t *weights_time_data, const nmsis_nn_dims *bias_dims, const int32_t *bias_data, const nmsis_nn_dims *output_dims, int8_t *output_data)

s8 SVDF function with 16 bit state tensor and 16 bit time weights

  1. Supported framework: TensorFlow Lite micro

Parameters

  • input_ctx – [in] Temporary scratch buffer The caller is expected to clear the buffer, if applicable, for security reasons.

  • output_ctx – [in] Temporary output scratch buffer The caller is expected to clear the buffer, if applicable, for security reasons.

  • svdf_params – [in] SVDF Parameters Range of svdf_params->input_offset : [-128, 127] Range of svdf_params->output_offset : [-128, 127]

  • input_quant_params – [in] Input quantization parameters

  • output_quant_params – [in] Output quantization parameters

  • input_dims – [in] Input tensor dimensions

  • input_data – [in] Pointer to input tensor

  • state_dims – [in] State tensor dimensions

  • state_data – [in] Pointer to state tensor

  • weights_feature_dims – [in] Weights (feature) tensor dimensions

  • weights_feature_data – [in] Pointer to the weights (feature) tensor

  • weights_time_dims – [in] Weights (time) tensor dimensions

  • weights_time_data – [in] Pointer to the weights (time) tensor

  • bias_dims – [in] Bias tensor dimensions

  • bias_data – [in] Pointer to bias tensor

  • output_dims – [in] Output tensor dimensions

  • output_data – [out] Pointer to the output tensor

Returns

The function returns RISCV_NMSIS_NN_SUCCESS