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-rw-r--r--arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h37
1 files changed, 37 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
index ab550aa52a..b0adb67578 100644
--- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
@@ -42,6 +42,14 @@ public:
* @param[out] output Destination tensor. Data types supported: same as @p input
*/
void configure(const ICLTensor *input, ICLTensor *output);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32
+ * @param[in] output Destination tensor. Data types supported: same as @p input
+ *
+ * @return an error status
+ */
+ static Error validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Interface for shifting, exponentiating and summing the logits */
@@ -67,6 +75,16 @@ public:
* @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.0
*/
void configure(const ICLTensor *input, const ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DShiftExpSumKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32
+ * @param[in] max Max values tensor. Data types supported: same as @p input
+ * @param[in] output Destination tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
+ * @param[in] sum Sum of 1D logits tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
+ *
+ * @return an error status
+ */
+ static Error validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
@@ -104,6 +122,16 @@ public:
* @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.f
*/
void configure(const ICLTensor *input, ICLTensor *max, ICLTensor *output, ICLTensor *sum, float beta = 1.0f);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DMaxShiftExpSumKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/F16/F32
+ * @param[in] max Max values tensor. Data types supported: same as @p input
+ * @param[in] output Destination tensor. Data types supported: same as @p input
+ * @param[in] sum Sum of 1D logits tensor. Data types supported: same as @p input
+ *
+ * @return an error status
+ */
+ static Error validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
/** Checks if the given size is eligible for parallel reduction
*
* @note Serial reduction is launched for width < (_grid_size * _serial_vector_size).
@@ -152,6 +180,15 @@ public:
* @param[in] beta (Optional) A scaling factor for the exponent. (Default = 1.0)
*/
void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, float beta = 1.0f);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLLogits1DNormKernel
+ *
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/S32/F16/F32
+ * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
+ * @param[in] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
+ *
+ * @return an error status
+ */
+ static Error validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;