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-rw-r--r--arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h11
1 files changed, 11 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
index 5b37d6cc62..84ec736d03 100644
--- a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
+++ b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
@@ -77,6 +77,17 @@ public:
* @param[out] output The output tensor. Data types supported: Same as @p input
*/
void configure(const ITensor *input, const ITensor *bias, ITensor *output);
+ /** Static function to check if given info will lead to a valid configuration of @ref NEWeightsReshapeKernel
+ *
+ * @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
+ * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QS16/F16/F32
+ * @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with
+ * dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input
+ * @param[in] output The output tensor. Should be a 2D Tensor. Data types supported: Same as @p input
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;