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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-10-17 17:10:27 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:55:45 +0000 |
commit | 061dd36716a17c1065de6143f61e41d03896d541 (patch) | |
tree | 8b959d0da13357bd9d9f0f54c45ddf06cfa33e8f /src/runtime/NEON | |
parent | ed5a492ba791d8c8b3334749d4ae946b8f11d13d (diff) | |
download | ComputeLibrary-061dd36716a17c1065de6143f61e41d03896d541.tar.gz |
COMPMID-1451: Fix allocation of weights in Deconvolution
Change-Id: If3ca0b034a7448df1e5349b51a2b124f1b4e99c1
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/153956
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: bsgcomp <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/NEON')
-rw-r--r-- | src/runtime/NEON/functions/NEDeconvolutionLayer.cpp | 22 |
1 files changed, 18 insertions, 4 deletions
diff --git a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp index cbe7c51662..23def5959b 100644 --- a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp @@ -39,6 +39,7 @@ NEDeconvolutionLayer::NEDeconvolutionLayer(std::shared_ptr<IMemoryManager> memor _flip_weights(), _scaled_output(), _weights_flipped(), + _original_weights(nullptr), _input(nullptr), _info(), _inner_border(), @@ -104,10 +105,11 @@ void NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, con { ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); - _input = input; - _info = info; - _inner_border = std::make_pair(inner_border_right, inner_border_top); - _is_prepared = false; + _input = input; + _original_weights = weights; + _info = info; + _inner_border = std::make_pair(inner_border_right, inner_border_top); + _is_prepared = false; const unsigned int stride_x = info.stride().first; const unsigned int stride_y = info.stride().second; @@ -160,9 +162,21 @@ void NEDeconvolutionLayer::prepare() { if(!_is_prepared) { + ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); + + // Run weights flipping and mark original weights tensor as unused _weights_flipped.allocator()->allocate(); CPPScheduler::get().schedule(&_flip_weights, Window::DimZ); + _original_weights->mark_as_unused(); + + // Prepare convolution _conv_f.prepare(); + + if(!_weights_flipped.is_used()) + { + _weights_flipped.allocator()->free(); + } + _is_prepared = true; } } |