diff --git a/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp b/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp
index 70337be..295fb5c 100644
--- a/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp
+++ b/src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.cpp
@@ -35,11 +35,11 @@
 using namespace arm_compute;
 
 CLDeconvolutionLayerUpsampleKernel::CLDeconvolutionLayerUpsampleKernel()
-    : _input(nullptr), _output(nullptr), _inner_border(), _info()
+    : _input(nullptr), _output(nullptr), _info()
 {
 }
 
-Status CLDeconvolutionLayerUpsampleKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const BorderSize &inner_border,
+Status CLDeconvolutionLayerUpsampleKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
                                                     const PadStrideInfo &info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
@@ -64,24 +64,20 @@
         ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i));
     }
 
-    ARM_COMPUTE_RETURN_ERROR_ON_MSG(inner_border.right > info.stride().first - 1, "inner_border_right must be smaller that stride_x");
-    ARM_COMPUTE_RETURN_ERROR_ON_MSG(inner_border.top > info.stride().second - 1, "inner_border_top must be smaller that stride_y");
-
     return Status{};
 }
 
-void CLDeconvolutionLayerUpsampleKernel::configure(const ICLTensor *input, ICLTensor *output, const BorderSize &inner_border,
+void CLDeconvolutionLayerUpsampleKernel::configure(const ICLTensor *input, ICLTensor *output,
                                                    const PadStrideInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
-    _input        = input;
-    _output       = output;
-    _inner_border = inner_border;
-    _info         = info;
+    _input  = input;
+    _output = output;
+    _info   = info;
 
     // Perform validation step
-    ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayerUpsampleKernel::validate(input->info(), output->info(), inner_border, info));
+    ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayerUpsampleKernel::validate(input->info(), output->info(), info));
 
     // Create kernel
     CLBuildOptions build_opts;
@@ -109,10 +105,10 @@
     const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
 
     const int out_start_x = _info.pad().first;
-    const int out_end_x   = _output->info()->dimension(idx_w) - _inner_border.right - _info.pad().first + _info.stride().first - 1;
+    const int out_end_x   = _output->info()->dimension(idx_w) - _info.pad().first + _info.stride().first - 1;
     const int out_step_x  = _info.stride().first;
 
-    const int out_start_y = _inner_border.top + _info.pad().second;
+    const int out_start_y = _info.pad().second;
     const int out_end_y   = _output->info()->dimension(idx_h) - _info.pad().second + _info.stride().second - 1;
     const int out_step_y  = _info.stride().second;
 
diff --git a/src/core/CPP/kernels/CPPUpsampleKernel.cpp b/src/core/CPP/kernels/CPPUpsampleKernel.cpp
index d29c0f7..6620ce2 100644
--- a/src/core/CPP/kernels/CPPUpsampleKernel.cpp
+++ b/src/core/CPP/kernels/CPPUpsampleKernel.cpp
@@ -37,7 +37,7 @@
 using namespace arm_compute;
 
 CPPUpsampleKernel::CPPUpsampleKernel()
-    : _input(nullptr), _output(nullptr), _info(), _inner_border()
+    : _input(nullptr), _output(nullptr), _info()
 {
 }
 
@@ -46,14 +46,13 @@
     return false;
 }
 
-void CPPUpsampleKernel::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info, unsigned int inner_border_right, unsigned int inner_border_top)
+void CPPUpsampleKernel::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
-    _input        = input;
-    _output       = output;
-    _info         = info;
-    _inner_border = std::make_pair(inner_border_right, inner_border_top);
+    _input  = input;
+    _output = output;
+    _info   = info;
 
     // Configure kernel window
     Window win = calculate_max_window(*input->info(), Steps());
@@ -78,9 +77,9 @@
     const int    stride_x      = _info.stride().first;
     const int    stride_y      = _info.stride().second;
     const int    start_x       = _info.pad().first;
-    const int    start_y       = _inner_border.second + _info.pad().second;
+    const int    start_y       = _info.pad().second;
     const int    end_y         = height_scaled - _info.pad().second;
-    const int    end_x         = width_scaled - _inner_border.first - _info.pad().first;
+    const int    end_x         = width_scaled - _info.pad().first;
     const size_t element_size  = _input->info()->element_size();
 
     std::fill_n(_output->buffer(), _output->info()->total_size(), 0);
diff --git a/src/graph/GraphBuilder.cpp b/src/graph/GraphBuilder.cpp
index 68385aa..54bd066 100644
--- a/src/graph/GraphBuilder.cpp
+++ b/src/graph/GraphBuilder.cpp
@@ -269,7 +269,7 @@
 
 NodeID GraphBuilder::add_deconvolution_node(Graph &g, NodeParams params, NodeIdxPair input,
                                             Size2D kernel_spatial_extend, unsigned int depth, PadStrideInfo deconv_info,
-                                            Size2D inner_border, ITensorAccessorUPtr weights_accessor,
+                                            ITensorAccessorUPtr weights_accessor,
                                             ITensorAccessorUPtr bias_accessor)
 {
     check_nodeidx_pair(input, g);
@@ -306,7 +306,7 @@
     }
 
     // Create convolution node and connect
-    NodeID deconv_nid = g.add_node<DeconvolutionLayerNode>(deconv_info, inner_border);
+    NodeID deconv_nid = g.add_node<DeconvolutionLayerNode>(deconv_info);
     g.add_connection(input.node_id, input.index, deconv_nid, 0);
     g.add_connection(w_nid, 0, deconv_nid, 1);
     if(has_bias)
diff --git a/src/graph/nodes/DeconvolutionLayerNode.cpp b/src/graph/nodes/DeconvolutionLayerNode.cpp
index b1a6db7..28c7529 100644
--- a/src/graph/nodes/DeconvolutionLayerNode.cpp
+++ b/src/graph/nodes/DeconvolutionLayerNode.cpp
@@ -32,8 +32,8 @@
 {
 namespace graph
 {
-DeconvolutionLayerNode::DeconvolutionLayerNode(PadStrideInfo info, Size2D inner_border)
-    : _info(std::move(info)), _inner_border(inner_border)
+DeconvolutionLayerNode::DeconvolutionLayerNode(PadStrideInfo info)
+    : _info(std::move(info))
 {
     _input_edges.resize(3, EmptyEdgeID);
     _outputs.resize(1, NullTensorID);
@@ -44,11 +44,6 @@
     return _info;
 }
 
-Size2D DeconvolutionLayerNode::inner_border() const
-{
-    return _inner_border;
-}
-
 TensorDescriptor DeconvolutionLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor,
                                                                    const TensorDescriptor &weights_descriptor,
                                                                    const PadStrideInfo    &info)
@@ -109,4 +104,4 @@
     v.visit(*this);
 }
 } // namespace graph
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute
diff --git a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
index c6f79d3..7aa7714 100644
--- a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp
@@ -42,10 +42,9 @@
 }
 
 void CLDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info,
-                                     unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info)
+                                     const WeightsInfo &weights_info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
-    ARM_COMPUTE_UNUSED(inner_border_right, inner_border_top);
 
     switch(CLDeconvolutionLayer::get_deconvolution_method(input->info(), weights->info(), nullptr, output->info(), deconv_info, weights_info))
     {
@@ -70,11 +69,9 @@
 }
 
 Status CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info,
-                                      unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info)
+                                      const WeightsInfo &weights_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output);
-    ARM_COMPUTE_UNUSED(inner_border_right, inner_border_top);
-
     switch(CLDeconvolutionLayer::get_deconvolution_method(input, weights, bias, output, deconv_info, weights_info))
     {
         case DeconvolutionMethod::DIRECT:
@@ -115,18 +112,6 @@
     return DeconvolutionMethod::GEMM;
 }
 
-void CLDeconvolutionLayer::configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &deconv_info,
-                                     const WeightsInfo &weights_info)
-{
-    configure(input, weights, bias, output, deconv_info, 0, 0, weights_info);
-}
-
-Status CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &deconv_info,
-                                      const WeightsInfo &weights_info)
-{
-    return CLDeconvolutionLayer::validate(input, weights, bias, output, deconv_info, 0, 0, weights_info);
-}
-
 void CLDeconvolutionLayer::run()
 {
     prepare();
diff --git a/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp b/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp
index c66dff0..63a45aa 100644
--- a/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp
+++ b/src/runtime/CL/functions/CLDeconvolutionLayerUpsample.cpp
@@ -36,20 +36,18 @@
 {
 }
 
-Status CLDeconvolutionLayerUpsample::validate(const ITensorInfo *input, const ITensorInfo *output, const BorderSize &inner_border,
-                                              const PadStrideInfo &info)
+Status CLDeconvolutionLayerUpsample::validate(const ITensorInfo *input, const ITensorInfo *output, const PadStrideInfo &info)
 {
-    return CLDeconvolutionLayerUpsampleKernel::validate(input, output, inner_border, info);
+    return CLDeconvolutionLayerUpsampleKernel::validate(input, output, info);
 }
 
-void CLDeconvolutionLayerUpsample::configure(ICLTensor *input, ICLTensor *output, const BorderSize &inner_border,
-                                             const PadStrideInfo &info)
+void CLDeconvolutionLayerUpsample::configure(ICLTensor *input, ICLTensor *output, const PadStrideInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
     _output = output;
     _memset.configure(_output, PixelValue(0, _output->info()->data_type(), _output->info()->quantization_info()));
-    _upsample.configure(input, _output, inner_border, info);
+    _upsample.configure(input, _output, info);
 }
 
 void CLDeconvolutionLayerUpsample::run()
@@ -57,4 +55,4 @@
     CLScheduler::get().enqueue(_memset, false);
     CLScheduler::get().enqueue(_upsample, true);
 }
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute
diff --git a/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp
index 6e14e26..c1a39ef 100644
--- a/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLDirectDeconvolutionLayer.cpp
@@ -55,7 +55,6 @@
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, weights);
-
     const DataLayout data_layout = input->data_layout();
 
     const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
@@ -95,11 +94,11 @@
 
     unsigned int        padx            = 0;
     unsigned int        pady            = 0;
-    const TensorShape   scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, 0, 0, out_dims, padx, pady);
+    const TensorShape   scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, out_dims, padx, pady);
     TensorInfo          scale_out_info(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(scale_out_shape).set_data_layout(data_layout));
     const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL);
 
-    ARM_COMPUTE_RETURN_ON_ERROR(CLDeconvolutionLayerUpsample::validate(input, &scale_out_info, BorderSize(), info));
+    ARM_COMPUTE_RETURN_ON_ERROR(CLDeconvolutionLayerUpsample::validate(input, &scale_out_info, info));
     ARM_COMPUTE_RETURN_ON_ERROR(CLConvolutionLayer::validate(&scale_out_info, weights, bias, output, conv_info, weights_info));
 
     return Status{};
@@ -141,7 +140,7 @@
     // Find the upsampled dimensions and the padding needed for the convolution with stride 1 in order to match output shape
     unsigned int      padx            = 0;
     unsigned int      pady            = 0;
-    const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input->info(), *weights->info(), stride_x, stride_y, 0, 0, out_dims, padx, pady);
+    const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input->info(), *weights->info(), stride_x, stride_y, out_dims, padx, pady);
 
     TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type(), input->info()->quantization_info());
     scale_out_info.set_data_layout(data_layout);
@@ -149,7 +148,7 @@
 
     // configure scale function
     const PadStrideInfo upsample_info(stride_x, stride_y, padx / 2, pady / 2);
-    _scale_f.configure(input, &_scaled_output, BorderSize(), upsample_info);
+    _scale_f.configure(input, &_scaled_output, upsample_info);
 
     // Setup the function to convolve the upscaled output
     const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL);
diff --git a/src/runtime/CPP/functions/CPPUpsample.cpp b/src/runtime/CPP/functions/CPPUpsample.cpp
index 619b7e1..0fd7d93 100644
--- a/src/runtime/CPP/functions/CPPUpsample.cpp
+++ b/src/runtime/CPP/functions/CPPUpsample.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -28,9 +28,9 @@
 
 using namespace arm_compute;
 
-void CPPUpsample::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info, unsigned int inner_border_right, unsigned int inner_border_top)
+void CPPUpsample::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info)
 {
     auto k = arm_compute::support::cpp14::make_unique<CPPUpsampleKernel>();
-    k->configure(input, output, info, inner_border_right, inner_border_top);
+    k->configure(input, output, info);
     _kernel = std::move(k);
-}
\ No newline at end of file
+}
diff --git a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
index c3d6b94..7bbacb1 100644
--- a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
@@ -43,13 +43,11 @@
       _original_weights(nullptr),
       _input(nullptr),
       _info(),
-      _inner_border(),
       _is_prepared(false)
 {
 }
 
-Status NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &info,
-                                      unsigned int inner_border_right, unsigned int inner_border_top)
+Status NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16, DataType::QASYMM8);
@@ -61,9 +59,6 @@
     const unsigned int stride_x = info.stride().first;
     const unsigned int stride_y = info.stride().second;
 
-    ARM_COMPUTE_RETURN_ERROR_ON_MSG(inner_border_right > stride_x - 1, "inner_border_right must be smaller than stride_x");
-    ARM_COMPUTE_RETURN_ERROR_ON_MSG(inner_border_top > stride_y - 1, "inner_border_top must be smaller than stride_y");
-
     auto out_dims = deconvolution_output_dimensions(input->dimension(0), input->dimension(1), weights->dimension(0), weights->dimension(1),
                                                     info.pad().first, info.pad().second, stride_x, stride_y);
 
@@ -91,7 +86,7 @@
 
     unsigned int        padx            = 0;
     unsigned int        pady            = 0;
-    const TensorShape   scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, inner_border_right, inner_border_top, out_dims, padx, pady);
+    const TensorShape   scale_out_shape = compute_deconvolution_upsampled_shape(*input, *weights, stride_x, stride_y, out_dims, padx, pady);
     TensorInfo          scale_out_info(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(scale_out_shape));
     const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL);
 
@@ -105,15 +100,13 @@
     return Status{};
 }
 
-void NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info,
-                                     unsigned int inner_border_right, unsigned int inner_border_top)
+void NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
 
     _input            = input;
     _original_weights = weights;
     _info             = info;
-    _inner_border     = std::make_pair(inner_border_right, inner_border_top);
     _is_prepared      = false;
 
     const DataLayout   data_layout = input->info()->data_layout();
@@ -131,35 +124,26 @@
     auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->quantization_info());
 
     // Perform validation step
-    ARM_COMPUTE_ERROR_THROW_ON(NEDeconvolutionLayer::validate(input->info(), weights->info(), bias == nullptr ? nullptr : bias->info(), output->info(), info, inner_border_right, inner_border_top));
+    ARM_COMPUTE_ERROR_THROW_ON(NEDeconvolutionLayer::validate(input->info(), weights->info(), bias == nullptr ? nullptr : bias->info(), output->info(), info));
 
     _memory_group.manage(&_scaled_output);
 
     // Find the upsampled dimensions and the padding needed for the convolution with stride 1 in order to match output shape
     unsigned int      padx            = 0;
     unsigned int      pady            = 0;
-    const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input->info(), *weights->info(), stride_x, stride_y, inner_border_right, inner_border_top, out_dims, padx, pady);
+    const TensorShape scale_out_shape = compute_deconvolution_upsampled_shape(*input->info(), *weights->info(), stride_x, stride_y, out_dims, padx, pady);
 
     TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type(), input->info()->quantization_info());
     _scaled_output.allocator()->init(scale_out_info);
 
     const PadStrideInfo upsample_info(stride_x, stride_y, padx / 2, pady / 2);
-    _upsample_f.configure(input, &_scaled_output, upsample_info, inner_border_right, inner_border_top);
+    _upsample_f.configure(input, &_scaled_output, upsample_info);
 
     // 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_flipped, bias, output, conv_info);
     _scaled_output.allocator()->allocate();
 }
-Status NEDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &info)
-{
-    return NEDeconvolutionLayer::validate(input, weights, bias, output, info, 0, 0);
-}
-
-void NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &info)
-{
-    configure(input, weights, bias, output, info, 0, 0);
-}
 
 void NEDeconvolutionLayer::run()
 {
@@ -193,4 +177,4 @@
         _is_prepared = true;
     }
 }
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute