Function arm_fully_connected_wrapper_s8

Function Documentation

arm_cmsis_nn_status arm_fully_connected_wrapper_s8(const cmsis_nn_context *ctx, const cmsis_nn_fc_params *fc_params, const cmsis_nn_quant_params *quant_params, const cmsis_nn_dims *input_dims, const int8_t *input_data, const cmsis_nn_dims *filter_dims, const int8_t *filter_data, const cmsis_nn_dims *bias_dims, const int32_t *bias_data, const cmsis_nn_dims *output_dims, int8_t *output_data)

s8 Fully Connected layer wrapper function

  • Supported framework: TensorFlow Lite

Parameters:

  • ctx – [inout] Function context (e.g. temporary buffer). Check the function definition file to see if an additional buffer is required. Optional function {API}_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.

  • fc_params – [in] Fully Connected layer parameters. Range of fc_params->input_offset : [-127, 128] fc_params->filter_offset : 0 Range of fc_params->output_offset : [-128, 127]

  • quant_params – [in] Per-channel or per-tensor quantization info. Check struct defintion for details. It contains the multiplier and shift value(s) to be applied to each output channel

  • input_dims – [in] Input (activation) tensor dimensions. Format: [N, H, W, C_IN] Input dimension is taken as Nx(H * W * C_IN)

  • input_data – [in] Input (activation) data pointer. Data type: int8

  • filter_dims – [in] Two dimensional filter dimensions. Format: [N, C] N : accumulation depth and equals (H * W * C_IN) from input_dims C : output depth and equals C_OUT in output_dims H & W : Not used

  • filter_data – [in] Filter data pointer. Data type: int8

  • bias_dims – [in] Bias tensor dimensions. Format: [C_OUT] N, H, W : Not used

  • bias_data – [in] Bias data pointer. Data type: int32

  • output_dims – [in] Output tensor dimensions. Format: [N, C_OUT] N : Batches C_OUT : Output depth H & W : Not used.

  • output_data – [inout] Output data pointer. Data type: int8

Returns:

The function returns either ARM_CMSIS_NN_ARG_ERROR if argument constraints fail. or, ARM_CMSIS_NN_SUCCESS on successful completion.