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authorMichalis Spyrou <michalis.spyrou@arm.com>2019-04-26 14:54:54 +0100
committerMichalis Spyrou <michalis.spyrou@arm.com>2019-05-01 10:06:58 +0000
commita4f378dcd39addd4a63db1c0848f2c120804f4eb (patch)
tree6fa8a0071bef32d2bdef0e5469678a7cfecea348 /src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
parent8ec0bb6d9027bb7505d6fa0eada42a52c6e1073b (diff)
downloadComputeLibrary-a4f378dcd39addd4a63db1c0848f2c120804f4eb.tar.gz
COMPMID-1995: Fix clang-tidy warnings
- Remove VirtualCall checks - Fix some unused variables errors - Use std::array insted of C style arrays - Various fixes Change-Id: Ife6170b7102de42b8f04e298dcf8476bf90779f0 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/1049 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
index a100cd2bf6..b561d1e3f4 100644
--- a/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017, 2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -479,7 +479,7 @@ void inline vector_matrix_multiply_s8(Iterator &ina, Iterator &inb, Iterator &ou
void inline matrix_multiply_u8(Iterator &ina, Iterator &inb, Iterator &out, int width_b, size_t out_stride, const Window &window)
{
- execute_window_loop(window, [&](const Coordinates & id)
+ execute_window_loop(window, [&](const Coordinates &)
{
const uint8_t *mtx_a0 = ina.ptr();
const uint8_t *mtx_b0 = inb.ptr();
@@ -599,7 +599,7 @@ void inline matrix_multiply_s8(Iterator &ina, Iterator &inb, Iterator &out, int
// The implementation assumes that the matrix A and Matrix B have been reshaped respectively with NEGEMMInterleave4x4 and NEGEMMTranspose1xW
// The reshaping of the matrices helps to have a cache friendly implementation and helps to avoid the data re-arrangements needed for computing 16x4 elements per iteration
// All the values needed for computing a single 4x4 block will be read from consecutive memory positions
- execute_window_loop(window, [&](const Coordinates & id)
+ execute_window_loop(window, [&](const Coordinates &)
{
auto *mtx_a0 = reinterpret_cast<const int8_t *>(ina.ptr());
auto *mtx_b0 = reinterpret_cast<const int8_t *>(inb.ptr());