COMPMID-3326: Update heuristic for GEMMReshaped and GEMMReshapedOnlyRHS

- Update the heuristic for Arm Mali-G76 (F32) in order to use the OpenCL image2d object
  on GEMM
- Create utility function to validate the support for image2d

Change-Id: I0913ac5f27fd07992b0ac188af753a2abeb034ca
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3559
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 31 insertions, 17 deletions

diff --git a/src/core/CL/gemm/CLGEMMHelpers.cpp b/src/core/CL/gemm/CLGEMMHelpers.cpp
index 1165e70273..5734c93021 100644
--- a/src/core/CL/gemm/CLGEMMHelpers.cpp
+++ b/src/core/CL/gemm/CLGEMMHelpers.cpp
@@ -23,7 +23,10 @@
  */
 #include "arm_compute/core/CL/gemm/CLGEMMHelpers.h"
 
+#include "arm_compute/core/CL/CLHelpers.h"
 #include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/OpenCL.h"
+#include "arm_compute/core/ITensorInfo.h"
 
 #include <utility>
 
@@ -32,24 +35,13 @@ namespace arm_compute
 namespace cl_gemm
 {
 std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> configure_lhs_rhs_info(unsigned int m, unsigned int n, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0,
-                                                                       bool lhs_interleave, bool rhs_interleave, bool lhs_transpose, bool rhs_transpose)
+                                                                       bool lhs_interleave, bool rhs_interleave, bool lhs_transpose, bool rhs_transpose, bool export_to_cl_image)
 {
-    GEMMLHSMatrixInfo lhs_info;
-    GEMMRHSMatrixInfo rhs_info;
+    v0 = ((m / (m0 * v0)) == 0) ? 1 : v0;
+    h0 = ((n / (n0 * h0)) == 0) ? 1 : h0;
 
-    // Configure GEMMLHSMatrixInfo
-    lhs_info.m0         = m0;
-    lhs_info.k0         = k0;
-    lhs_info.v0         = ((m / (lhs_info.m0 * v0)) == 0) ? 1 : v0;
-    lhs_info.interleave = lhs_interleave;
-    lhs_info.transpose  = lhs_transpose;
-
-    // Configure GEMMRHSMatrixInfo
-    rhs_info.n0         = n0;
-    rhs_info.k0         = lhs_info.k0;
-    rhs_info.h0         = ((n / (rhs_info.n0 * h0)) == 0) ? 1 : h0;
-    rhs_info.interleave = rhs_interleave;
-    rhs_info.transpose  = rhs_transpose;
+    const GEMMLHSMatrixInfo lhs_info(m0, k0, v0, lhs_transpose, lhs_interleave);
+    const GEMMRHSMatrixInfo rhs_info(n0, k0, h0, rhs_transpose, rhs_interleave, export_to_cl_image);
 
     return std::make_pair(lhs_info, rhs_info);
 }
@@ -66,5 +58,27 @@ void update_padding_for_cl_image(ITensorInfo *tensor)
 
     tensor->extend_padding(PaddingSize(0, padding, 0, 0));
 }
+
+Status validate_image2d_support_on_rhs(const ITensorInfo &tensor_reshaped_info, const GEMMRHSMatrixInfo &rhs_info)
+{
+    if(rhs_info.export_to_cl_image)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG((rhs_info.n0 == 2) || (rhs_info.n0 == 3), "Export to cl_image only supported with n0 = 4, 8 or 16");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG((rhs_info.k0 == 2) || (rhs_info.k0 == 3), "Export to cl_image only supported with k0 = 4, 8 or 16");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(tensor_reshaped_info.data_type() != DataType::F32, "Export to cl_image only supported with F32 data type");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(!image2d_from_buffer_supported(CLKernelLibrary::get().get_device()), "The extension cl_khr_image2d_from_buffer is not supported on the target platform");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(get_cl_image_pitch_alignment(CLKernelLibrary::get().get_device()) == 0, "Impossible to retrieve the cl_image pitch alignment");
+
+        // Check the width and height of the output tensor.
+        // Since we cannot create a 3d image from a buffer, the third dimension is collapsed on the second dimension
+        const size_t max_image_w = CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_IMAGE2D_MAX_WIDTH>();
+        const size_t max_image_h = CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_IMAGE2D_MAX_HEIGHT>();
+
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(tensor_reshaped_info.tensor_shape()[0] > max_image_w * 4, "Not supported width for cl_image");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(tensor_reshaped_info.tensor_shape()[1] * tensor_reshaped_info.tensor_shape()[2] > max_image_h, "Not supported height for cl_image");
+    }
+
+    return Status{};
+}
 } // namespace cl_gemm
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute