aboutsummaryrefslogtreecommitdiff
path: root/src/runtime/CL/functions/CLConvolution.cpp
diff options
context:
space:
mode:
authorGeorgios Pinitas <georgios.pinitas@arm.com>2017-09-15 19:06:47 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit8a94e7cec7b09a417a278425e2b56e7af5bf45d9 (patch)
treee952f39903d4624bbd6445c9cc6c7dbcc1114026 /src/runtime/CL/functions/CLConvolution.cpp
parent658039bc4e06be34272eccf559a516a6b52f75f5 (diff)
downloadComputeLibrary-8a94e7cec7b09a417a278425e2b56e7af5bf45d9.tar.gz
COMPMID-534: Add MemoryManager support in OpenCL functions
Adds support for: -CLConvolution -CLGEMM -CLGEMMLowp -CLHOGDescriptor -CLHOGGradient -CLHOGMultiDetection -CLL2Normalize -CLLocallyConnectedLayer -CLOpticalFlow -CLReductionOperation Change-Id: Ib13354d274ccf32ae933f3fbbad3ac3896cfd3bd Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87938 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLConvolution.cpp')
-rw-r--r--src/runtime/CL/functions/CLConvolution.cpp11
1 files changed, 9 insertions, 2 deletions
diff --git a/src/runtime/CL/functions/CLConvolution.cpp b/src/runtime/CL/functions/CLConvolution.cpp
index 641044451d..a9b086773c 100644
--- a/src/runtime/CL/functions/CLConvolution.cpp
+++ b/src/runtime/CL/functions/CLConvolution.cpp
@@ -47,8 +47,8 @@ void CLConvolution3x3::configure(ICLTensor *input, ICLTensor *output, const int1
}
template <unsigned int matrix_size>
-CLConvolutionSquare<matrix_size>::CLConvolutionSquare()
- : _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
+CLConvolutionSquare<matrix_size>::CLConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager)
+ : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
{
}
@@ -66,6 +66,9 @@ void CLConvolutionSquare<matrix_size>::configure(ICLTensor *input, ICLTensor *ou
std::pair<DataType, DataType> type_pair = data_type_for_convolution(conv_col, conv_row, matrix_size);
_tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, type_pair.first));
+ // Manage intermediate buffers
+ _memory_group.manage(&_tmp);
+
if(scale == 0)
{
scale = calculate_matrix_scale(conv, matrix_size);
@@ -92,8 +95,12 @@ void CLConvolutionSquare<matrix_size>::run()
if(_is_separable)
{
+ _memory_group.acquire();
+
CLScheduler::get().enqueue(_kernel_hor, false);
CLScheduler::get().enqueue(_kernel_vert);
+
+ _memory_group.release();
}
else
{