diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NESoftmaxLayer.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NESoftmaxLayer.h | 14 |
1 files changed, 12 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h b/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h index 61f46004d6..3f5ec8e820 100644 --- a/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h +++ b/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h @@ -56,17 +56,27 @@ public: * last value of each row to the nearest multiple. * @param[out] output Destination tensor. Data types supported: same as @p input. * @param[in] beta (Optional) A scaling factor for the exponent. + * @param[in] axis (Optional) Reduction axis. It has the purpose of squashing the first @p axis + * dimensions together. For instance, given a [4x4x4x4] image, + * when @p axis is 2, the Softmax reduction will be applied on each of the [4x4] planes of the input image. + * + * @note The value of @p axis must be always 1 for NEON */ - void configure(ITensor *input, ITensor *output, float beta = 1.0f); + void configure(ITensor *input, ITensor *output, float beta = 1.0f, size_t axis = 1); /** Static function to check if given info will lead to a valid configuration of @ref NESoftmaxLayer * * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32. * @param[in] output Destination tensor. Data types supported: same as @p input * @param[in] beta (Optional) A scaling factor for the exponent. + * @param[in] axis (Optional) Reduction axis. It has the purpose of squashing the first @p axis + * dimensions together. For instance, given a [4x4x4x4] image, + * when @p axis is 2, the Softmax reduction will be applied on each of the [4x4] planes of the input image. + * + * @note The value of @p axis must be always 1 for NEON * * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta = 1.0f); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta = 1.0f, size_t axis = 1); // Inherited methods overridden: void run() override; |