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author | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-05-01 13:03:59 +0100 |
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committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-05-10 13:30:46 +0000 |
commit | bcfd09a14a61bb8457555c61e7c5697b1f901ddb (patch) | |
tree | 30754b3eaad2464c787d74b304bcd7b135dd4178 /src/runtime/CL/functions/CLConvolution.cpp | |
parent | 46a49a0a8206f0efa7afd514940e180a88ffd732 (diff) | |
download | ComputeLibrary-bcfd09a14a61bb8457555c61e7c5697b1f901ddb.tar.gz |
COMPMID-2177 Fix clang warnings
Change-Id: I78039db8c58d7b14a042c41e54c25fb9cb509bf7
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1092
Reviewed-by: VidhyaSudhan Loganathan <vidhyasudhan.loganathan@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLConvolution.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLConvolution.cpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/runtime/CL/functions/CLConvolution.cpp b/src/runtime/CL/functions/CLConvolution.cpp index 2f43ce1974..f09585e7ec 100644 --- a/src/runtime/CL/functions/CLConvolution.cpp +++ b/src/runtime/CL/functions/CLConvolution.cpp @@ -58,13 +58,13 @@ void CLConvolutionSquare<matrix_size>::configure(ICLTensor *input, ICLTensor *ou { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); ARM_COMPUTE_ERROR_ON(conv == nullptr); - int16_t conv_col[matrix_size]; - int16_t conv_row[matrix_size]; - _is_separable = separate_matrix(conv, conv_col, conv_row, matrix_size); + std::array<int16_t, matrix_size> conv_col{ 0 }; + std::array<int16_t, matrix_size> conv_row{ 0 }; + _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size); if(_is_separable) { - std::pair<DataType, DataType> type_pair = data_type_for_convolution(conv_col, conv_row, matrix_size); + std::pair<DataType, DataType> type_pair = data_type_for_convolution(conv_col.data(), conv_row.data(), matrix_size); _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, type_pair.first)); // Manage intermediate buffers @@ -75,8 +75,8 @@ void CLConvolutionSquare<matrix_size>::configure(ICLTensor *input, ICLTensor *ou scale = calculate_matrix_scale(conv, matrix_size); } - _kernel_hor.configure(input, &_tmp, conv_row, border_mode == BorderMode::UNDEFINED); - _kernel_vert.configure(&_tmp, output, conv_col, scale, border_mode == BorderMode::UNDEFINED, type_pair.second); + _kernel_hor.configure(input, &_tmp, conv_row.data(), border_mode == BorderMode::UNDEFINED); + _kernel_vert.configure(&_tmp, output, conv_col.data(), scale, border_mode == BorderMode::UNDEFINED, type_pair.second); _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value)); // Allocate intermediate buffer |