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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-08-23 12:00:02 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 226e4b92b191491ffa57ede66eba1d5d6fcf3b76 (patch) | |
| tree | 334705a1e743e3465400208d582cf0b25bf950fa /src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp | |
| parent | 35aea3776449557c438e264bae7af5b1fe0e5ff6 (diff) | |
| download | ComputeLibrary-226e4b92b191491ffa57ede66eba1d5d6fcf3b76.tar.gz | |
COMPMID-1470 Add auto-init of the output in NECol2im
The output of NECol2Im is already auto-initialized.
This patch is about calling ShapeCalculator instead of computing the shape inside the kernel, adding validate_and_configure_window, and standardize the way convolved dims are passed (now NEON uses Size2D, while CL passes a pair of uint values: using Size2D for both implementations)
Change-Id: I795696e1b6532f57847c3186c1b532c09f5a25da
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145345
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp index 782fe710e7..c9daea4169 100644 --- a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp @@ -285,7 +285,7 @@ void CLGEMMConvolutionLayer::configure(const ICLTensor *input, const ICLTensor * if(input->info()->data_layout() == DataLayout::NCHW) { // Configure and tune Col2Im - _col2im_kernel.configure(_is_quantized ? gemm_output_staged_to_use : gemm_output_to_use, output, std::make_pair(conv_w, conv_h), num_groups); + _col2im_kernel.configure(_is_quantized ? gemm_output_staged_to_use : gemm_output_to_use, output, Size2D(conv_w, conv_h), num_groups); CLScheduler::get().tune_kernel_static(_col2im_kernel); } else @@ -443,7 +443,7 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI { ARM_COMPUTE_RETURN_ON_ERROR(CLCol2ImKernel::validate(is_quantized ? gemm_output_staged_to_use : gemm_output_to_use, output, - std::make_pair(conv_w, conv_h), num_groups)); + Size2D(conv_w, conv_h), num_groups)); } } |