diff options
Diffstat (limited to 'arm_compute/runtime/GLES_COMPUTE')
-rw-r--r-- | arm_compute/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.h | 16 |
1 files changed, 7 insertions, 9 deletions
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.h index 4ccfe2684e..0279edf63d 100644 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.h +++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.h @@ -50,17 +50,15 @@ public: GCSoftmaxLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input and output tensors. * - * @param[in] input Source tensor. Data types supported: F16/F32 - * @param[out] output Destination tensor. Data types supported: same as @p input - * @param[in] beta (Optional) A scaling factor for the exponent. Only beta = 1 is supported - * @param[in] reduce_end_axis (Optional) The last axis of the first n dimensions (inclusive)to reduce. Defaults to 0. - * It has the purpose of squashing together the first n dimensions till (including) the @p reduce_end_axis. For instance, given a [2x3x4x5] image, - * when @p reduce_end_axis is 1, the reduction will be applied to axes 0 and 1, and the Softmax op will be applied on each of the [2x3] planes of the input image. - * Must be in range [0, input_num_dimensions). + * @param[in] input Source tensor. Data types supported: F16/F32 + * @param[out] output Destination tensor. Data types supported: same as @p input + * @param[in] beta (Optional) A scaling factor for the exponent. Only beta = 1 is supported + * @param[in] axis (Optional) The dimension in which to apply the function. E.g. for input of shape 4x5x6 and + * axis=1, softmax will be applied to 4x6=24 vectors of size 5. Defaults to 0 * - * @note The value of @p reduce_end_axis must be always 0 for GLES + * @note The value of @p axis must be always 0 for GLES */ - void configure(const IGCTensor *input, IGCTensor *output, float beta = 1.0f, size_t reduce_end_axis = 0); + void configure(const IGCTensor *input, IGCTensor *output, float beta = 1.0f, int32_t axis = 0); // Inherited methods overridden: void run() override; |