Issue COMPMID-1835: Remove CLGEMMInterleave4x4Kernel and replace with CLGEMMReshapeLHSMatrixKernel
Change-Id: Id6a1bd78f9b1698b64a004e4adebc41002b15745
Reviewed-on: https://review.mlplatform.org/496
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
diff --git a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.cpp
index 66fafe4..2c072a8 100644
--- a/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpMatrixMultiplyKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -72,16 +72,24 @@
else
{
GEMMRHSMatrixInfo rhs_info;
+ GEMMLHSMatrixInfo lhs_info;
const int m = reshape_info.m();
const int n = reshape_info.n();
const int k = reshape_info.k();
const int mult_transpose1xW_width = reshape_info.mult_transpose1xW_width();
const int mult_interleave4x4_height = reshape_info.mult_interleave4x4_height();
- rhs_info.n0 = 16 / input1->element_size();
- rhs_info.k0 = 1;
- rhs_info.h0 = mult_transpose1xW_width;
- rhs_info.interleave = false;
- rhs_info.transpose = false;
+ const bool unroll_block = dot8_supported(CLKernelLibrary::get().get_device());
+
+ rhs_info.n0 = 16 / input1->element_size();
+ rhs_info.k0 = 1;
+ rhs_info.h0 = mult_transpose1xW_width;
+ rhs_info.interleave = false;
+ rhs_info.transpose = false;
+ lhs_info.m0 = 4;
+ lhs_info.k0 = 4;
+ lhs_info.v0 = mult_interleave4x4_height;
+ lhs_info.interleave = true;
+ lhs_info.transpose = unroll_block;
TensorShape tensor_shape0{ input0->tensor_shape() };
tensor_shape0.set(0, k);
@@ -94,7 +102,7 @@
const TensorInfo tensor_info0 = input0->clone()->set_tensor_shape(tensor_shape0);
const TensorInfo tensor_info1 = input1->clone()->set_tensor_shape(tensor_shape1);
- const TensorInfo tensor_info_reshaped0 = input0->clone()->set_tensor_shape(compute_interleaved_shape(tensor_info0, mult_interleave4x4_height));
+ const TensorInfo tensor_info_reshaped0 = input0->clone()->set_tensor_shape(compute_lhs_reshaped_shape(tensor_info0, lhs_info));
const TensorInfo tensor_info_reshaped1 = input1->clone()->set_tensor_shape(compute_rhs_reshaped_shape(tensor_info1, rhs_info));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input0, &tensor_info_reshaped0);