Function arm_depthwise_convolve_weight_sum

Function Documentation

arm_cmsis_nn_status arm_depthwise_convolve_weight_sum(int32_t *vector_sum_buf, int8_t *scratch_buf, const int8_t *rhs, const cmsis_nn_dw_conv_params *dw_conv_params, const cmsis_nn_dims *input_dims, const cmsis_nn_dims *filter_dims, const cmsis_nn_dims *output_dims, const int32_t lhs_offset, const int32_t *bias_data)

Pre-computes per-channel weight sums for a depthwise convolution.

  • Supported framework : TensorFlow Lite Micro

Parameters:
  • vector_sum_buf[out] Buffer to hold the computed weight sums.

  • scratch_buf[inout] Scratch buffer used internally; caller must clear for security.

  • rhs[in] Depthwise convolution weights. Data type: int8

  • dw_conv_params[in] Depthwise-convolution parameters (stride, dilation, pad, etc.)

  • input_dims[in] Input tensor dimensions. Format: [N, H, W, C_IN]

  • filter_dims[in] Filter tensor dimensions. Format: [1, KH, KW, C_OUT]

  • output_dims[in] Output tensor dimensions. Format: [N, H, W, C_OUT]

  • lhs_offset[in] Input-offset applied before MAC. Range: [-127, 128]

  • bias_data[in] Optional bias pointer. Data type: int32

Returns:

ARM_CMSIS_NN_ARG_ERROR on invalid arguments, or ARM_CMSIS_NN_SUCCESS on success.