commit 0e205f7e1083bf26e6ffc33d96005999b541b8f9
author Jenkins <bsgcomp@arm.com> Thu Nov 28 16:53:35 2019 +0000
committer Jenkins <bsgcomp@arm.com> Thu Nov 28 16:53:35 2019 +0000
tree 8e204985bbc0a9588f67128cafe49c0419c6d3f9
parent 975dfe175e3d7c62c27598b1c0e8e77ed90df463

arm_compute v19.11

src/runtime/CL/functions/CLGEMMDeconvolutionLayer.cpp

diff --git a/src/runtime/CL/functions/CLGEMMDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLGEMMDeconvolutionLayer.cpp
index 36a120e..4671be5 100644
--- a/src/runtime/CL/functions/CLGEMMDeconvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLGEMMDeconvolutionLayer.cpp
@@ -151,8 +151,8 @@
         ARM_COMPUTE_RETURN_ON_ERROR(CLGEMM::validate(&input->clone()->set_tensor_shape(nhwc_input_shape).set_is_resizable(true), &reshaped_t_info, nullptr, &gemm_output_info, 1.0f, 0.0f, gemm_info));
     }
 
-    auto out_dims = deconvolution_output_dimensions(input->dimension(idx_w), input->dimension(idx_h), weights->dimension(idx_w), weights->dimension(idx_h),
-                                                    0, 0, deconv_info.stride().first, deconv_info.stride().second);
+    const PadStrideInfo stride_info(deconv_info.stride().first, deconv_info.stride().second);
+    auto out_dims = deconvolution_output_dimensions(input->dimension(idx_w), input->dimension(idx_h), weights->dimension(idx_w), weights->dimension(idx_h), stride_info);
     const TensorShape deconv_shape       = misc::shape_calculator::compute_deconvolution_output_shape(out_dims, *input, *weights);
     TensorInfo        col2im_output_info = gemm_output_info.clone()->set_tensor_shape(deconv_shape).set_is_resizable(true);
 
@@ -279,7 +279,7 @@
     {
         const UniformQuantizationInfo iq_info = input->info()->quantization_info().uniform();
         const UniformQuantizationInfo wq_info = weights->info()->quantization_info().uniform();
-        const UniformQuantizationInfo oq_info = _gemmlowp_final.info()->quantization_info().uniform();
+        const UniformQuantizationInfo oq_info = output->info()->quantization_info().uniform();
 
         float multiplier = iq_info.scale * wq_info.scale / oq_info.scale;
         int   output_multiplier(0);