COMPMID-617: Adds CLFullyConnectionLayer validation support

Change-Id: I4d2eb9872a3165fdcaa7784596e441cbe563dbc2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112577
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Ioan-Cristian Szabo <ioan-cristian.szabo@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

3 files changed, 36 insertions, 5 deletions

diff --git a/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h
index 2cac06c1c9..1e9ee492ad 100644
--- a/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h
+++ b/arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h
@@ -52,6 +52,14 @@ public:
      * @param[out] output Destination tensor which stores the transposed input tensor. Data type 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 CLFullyConnectedLayerReshapeWeights
+     *
+     * @param[in] input  Weights tensor. The weights must be 2 dimensional. Data types supported: QS8/QASYMM8/QS16/F16/F32.
+     * @param[in] output Destination tensor which stores the transposed input tensor. Data type supported: Same as @p input.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output);
 };
 
 /** Basic function to compute a Fully Connected layer on OpenCL. This function calls the following OpenCL kernels:
@@ -78,6 +86,18 @@ public:
      * @param[in]  are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false.
      */
     void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, bool transpose_weights = true, bool are_weights_reshaped = false);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLFullyConnectedLayer
+     *
+     * @param[in] input                Source tensor. Data type supported: QS8/QASYMM8/QS16/F16/F32.
+     * @param[in] weights              Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input
+     * @param[in] biases               Bias tensor. It can be nullptr. Data type supported:Same as @p input.
+     * @param[in] output               Destination tensor. Data type supported: Same as @p input.
+     * @param[in] transpose_weights    (Optional) Transpose weights if true. Defaults to true.
+     * @param[in] are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, bool transpose_weights = true, bool are_weights_reshaped = false);
 
     //Inherited methods override
     void run() override;
diff --git a/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h b/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h
index e316144548..3976704907 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.h
@@ -69,6 +69,17 @@ public:
      *                       if the reshape of matrix B should be executed only for the first run
      */
     void configure(const ICLTensor *a, const ICLTensor *b, ICLTensor *output, const GEMMInfo &gemm_info = GEMMInfo());
+    /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyCore
+     *
+     * @param[in] a         First input tensor  (Matrix A). Data type supported: QASYMM8.
+     * @param[in] b         Second input tensor (Matrix B). Data type supported: same as @p a
+     * @param[in] output    Output tensor. Data type supported: Data type supported: S32
+     * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
+     *                      if the reshape of matrix B should be executed only for the first run
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *output, const GEMMInfo &gemm_info = GEMMInfo());
 
     // Inherited methods overridden:
     void run() override;
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h b/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h
index 46e6b494f8..eddb3a26b7 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.h
@@ -75,11 +75,11 @@ public:
     void configure(const ITensor *a, const ITensor *b, ITensor *output, const GEMMInfo &gemm_info = GEMMInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpMatrixMultiplyCore
      *
-     * @param[in]  a         First input tensor  (Matrix A). Data type supported: QASYMM8.
-     * @param[in]  b         Second input tensor (Matrix B). Data type supported: same as @p a
-     * @param[out] output    Output tensor. Data type supported: Data type supported: S32
-     * @param[in]  gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
-     *                       if the reshape of matrix B should be executed only for the first run
+     * @param[in] a         First input tensor  (Matrix A). Data type supported: QASYMM8.
+     * @param[in] b         Second input tensor (Matrix B). Data type supported: same as @p a
+     * @param[in] output    Output tensor. Data type supported: Data type supported: S32
+     * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
+     *                      if the reshape of matrix B should be executed only for the first run
      *
      * @return a status
      */