Function arm_elementwise_sub_f32

• Defined in File arm_nnfunctions_flt.h

Function Documentation

arm_cmsis_nn_status arm_elementwise_sub_f32(const float32_t *input_1_vect, const float32_t *input_2_vect, float32_t *output, float32_t out_activation_min, float32_t out_activation_max, int32_t block_size)

Elementwise subtract with optional output clamp.

NaN results propagate through the clamp (TensorFlow Lite semantics).

Parameters:

• input_1_vect – [in] Pointer to the first input vector (minuend).

• input_2_vect – [in] Pointer to the second input vector (subtrahend).

• output – [out] Pointer to the output vector.

• out_activation_min – [in] Minimum output clamp value.

• out_activation_max – [in] Maximum output clamp value.

• block_size – [in] Number of elements to process.

Returns:

ARM_CMSIS_NN_SUCCESS on success or ARM_CMSIS_NN_ARG_ERROR on invalid arguments.