COMPMID-802 Add NHWC data format support for NEON im2col.

Change-Id: I86e678179106a2b83d1c6a7cfe562df91b0f9eb2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124000
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
diff --git a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
index b310ad3..958d081 100644
--- a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
+++ b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
@@ -188,7 +188,7 @@
 
     if(_linearize_input)
     {
-        _im2col_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_im2col_shape(input->info(), num_input_dimensions)));
+        _im2col_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_im2col_fc_shape(input->info(), num_input_dimensions)));
 
         // Configure im2col kernel
         _memory_group.manage(&_im2col_output);
@@ -288,7 +288,7 @@
 
     if(linearize_input)
     {
-        im2col_output->set_tensor_shape(compute_im2col_shape(input, num_input_dimensions));
+        im2col_output->set_tensor_shape(compute_im2col_fc_shape(input, num_input_dimensions));
 
         ARM_COMPUTE_RETURN_ON_ERROR(NEIm2ColKernel::validate(input, im2col_output.get(), Size2D(1, 1), PadStrideInfo(1, 1, 0, 0), false, true));
 
diff --git a/src/runtime/NEON/functions/NEIm2Col.cpp b/src/runtime/NEON/functions/NEIm2Col.cpp
index b962db9..6b95cb0 100644
--- a/src/runtime/NEON/functions/NEIm2Col.cpp
+++ b/src/runtime/NEON/functions/NEIm2Col.cpp
@@ -23,19 +23,30 @@
  */
 #include "arm_compute/runtime/NEON/functions/NEIm2Col.h"
 
-#include "arm_compute/core/NEON/kernels/NEIm2ColKernel.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
 #include "support/ToolchainSupport.h"
 
 using namespace arm_compute;
 
-void NEIm2Col::configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected)
+NEIm2Col::NEIm2Col()
+    : _kernel(), _y_dim(1)
 {
-    auto k = arm_compute::support::cpp14::make_unique<NEIm2ColKernel>();
-    k->configure(input, output, kernel_dims, conv_info, has_bias, is_fully_connected);
-    _kernel = std::move(k);
 }
 
-Status NEIm2Col::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected)
+void NEIm2Col::configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected, bool is_flatten)
 {
-    return NEIm2ColKernel::validate(input, output, kernel_dims, conv_info, has_bias, is_fully_connected);
+    _y_dim = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::HEIGHT);
+
+    _kernel.configure(input, output, kernel_dims, conv_info, has_bias, is_fully_connected, is_flatten);
+}
+
+Status NEIm2Col::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, bool is_fully_connected, bool is_flatten)
+{
+    return NEIm2ColKernel::validate(input, output, kernel_dims, conv_info, has_bias, is_fully_connected, is_flatten);
+}
+
+void NEIm2Col::run()
+{
+    NEScheduler::get().schedule(&_kernel, _y_dim);
 }