COMPMID-3719: Remove OpenCL padding: CLGEMMLowpMatrixMultiplyNativeKernel

Change-Id: Iee28abcbba1e7b9e2f3aaa55685936dce815d5a3
Signed-off-by: morgolock <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4141
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 12 insertions, 26 deletions

diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
index 9a2918d12f..d30a9e5d18 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyNativeKernel.cpp
@@ -111,8 +111,6 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITe
     bool          reinterpret_output_as_3d            = (gemm_info.depth_output_gemm3d() != 0);
 
     Window win{};
-    Window win_out{};
-    bool   window_changed = false;
 
     // In case both input and output have to be reinterpreted as 3D tensors,
     // force reinterpret_output_as_3d to be false.
@@ -139,28 +137,8 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITe
     num_elems_processed_per_iteration_x = rhs_info.n0;
     num_elems_processed_per_iteration_y = lhs_info.m0;
 
-    // Note: bottom paddings are calculated manually as the output can be reinterpreted as 3D tensor
-    // The only way to set properly the paddings, it is to set those explicitly through the AccessWindowStatic
-    const int m          = reinterpret_output_as_3d ? gemm_info.m() : input0->dimension(1);
-    const int bottom_pad = (num_elems_processed_per_iteration_y - (m % num_elems_processed_per_iteration_y)) % num_elems_processed_per_iteration_y;
-
     win     = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
-    win_out = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
-
-    AccessWindowStatic input0_access(input0, 0, 0,
-                                     input0->dimension(0),
-                                     input0->dimension(1) + bottom_pad);
-    AccessWindowStatic input1_access(input1, 0, 0,
-                                     ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration_x),
-                                     input1->dimension(1));
-    AccessWindowStatic output_access(output, 0, 0,
-                                     ceil_to_multiple(output->dimension(0), num_elems_processed_per_iteration_x),
-                                     output->dimension(1) + bottom_pad);
-
-    window_changed = update_window_and_padding(win, input0_access, input1_access) || // window used by the execute_window_loop
-                     update_window_and_padding(win_out, output_access);              // window used to update the padding requirements of output tensor
-
-    output_access.set_valid_region(win_out, ValidRegion(Coordinates(), output->tensor_shape()));
+    output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
 
     // Collapse along the Z direction
     // This collapse needs to be here in order to tune the Z dimension of LWS
@@ -168,8 +146,7 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITe
     const unsigned int dimension_to_collapse = std::min(static_cast<unsigned int>(output->num_dimensions()), 2u);
     collapsed                                = win.collapse(win, dimension_to_collapse);
 
-    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
-    return std::make_pair(err, collapsed);
+    return std::make_pair(Status(), collapsed);
 }
 } // namespace
 
@@ -218,6 +195,14 @@ void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const CLCompileContext &com
     ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
     ICLKernel::configure_internal(win_config.second);
 
+    // If _reinterpret_input_as_3d = _reinterpret_output_as_3d = true,
+    // we will dispatch a batched-GEMM to reduce the complexity of the address calculation within the OpenCL kernel.
+    // This means that the actual m used by the kernel is given by output->info()->dimension(1) and not by gemm_info.m
+    const unsigned int internal_m = input0->info()->dimension(1);
+    // Calculate partial (store instead of load) M0 and partial N0 for the partial blocks at the end of a row/column if any. This is to avoid padding.
+    const unsigned int partial_store_m0 = internal_m % lhs_info.m0;
+    const unsigned int partial_store_n0 = gemm_info.n() % rhs_info.n0;
+
     // Create build options
     CLBuildOptions build_opts;
     build_opts.add_option_if(_reinterpret_input_as_3d, "-DREINTERPRET_INPUT_AS_3D");
@@ -234,7 +219,8 @@ void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const CLCompileContext &com
     build_opts.add_option("-DK0=" + support::cpp11::to_string(rhs_info.k0));
     build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type()));
     build_opts.add_option("-DACC_DATA_TYPE=" + get_cl_dot8_acc_type_from_data_type(input0->info()->data_type()));
-
+    build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0));
+    build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0));
     std::string kernel_name("gemmlowp_mm_native");
 
     // Create kernel