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authorMichele Di Giorgio <michele.digiorgio@arm.com>2018-06-06 17:03:36 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:52:54 +0000
commit70ba7d670474d68d2894ffbbe68ea9456f3597ee (patch)
tree46526939cc163e95693e30905574fe6c1acfb6f6 /src/runtime/CL/functions/CLDeconvolutionLayer.cpp
parent2e01e18ff5458f4bd8e6bcc868ba7eb39ff776cc (diff)
downloadComputeLibrary-70ba7d670474d68d2894ffbbe68ea9456f3597ee.tar.gz
COMPMID-1257: Allow retaining weights in CLDeconvolutionLayer
Change-Id: I8c430f2efafa0f47e2b12e388713ba693a6df8ee Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134467 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLDeconvolutionLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLDeconvolutionLayer.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
index 4d971f3c72..6c54b18b81 100644
--- a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
@@ -43,7 +43,7 @@ CLDeconvolutionLayer::CLDeconvolutionLayer(std::shared_ptr<IMemoryManager> memor
}
Status CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &info,
- unsigned int inner_border_right, unsigned int inner_border_top)
+ unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
@@ -80,13 +80,13 @@ Status CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInf
const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL);
ARM_COMPUTE_RETURN_ON_ERROR(CLDeconvolutionLayerUpsample::validate(input, &scale_out_info, BorderSize(inner_border_right, inner_border_top), info));
- ARM_COMPUTE_RETURN_ON_ERROR(CLConvolutionLayer::validate(&scale_out_info, weights, bias, output, conv_info, WeightsInfo()));
+ ARM_COMPUTE_RETURN_ON_ERROR(CLConvolutionLayer::validate(&scale_out_info, weights, bias, output, conv_info, weights_info));
return Status{};
}
void CLDeconvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &info,
- unsigned int inner_border_right, unsigned int inner_border_top)
+ unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
@@ -120,7 +120,7 @@ void CLDeconvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights,
// setup the function to convolve the upscaled output
const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL);
- _conv_f.configure(&_scaled_output, weights, bias, output, conv_info);
+ _conv_f.configure(&_scaled_output, weights, bias, output, conv_info, weights_info);
_scaled_output.allocator()->allocate();
}