APPBROWSER-391: Fix GLES COMPUTE alignment issues

APPBROWSER-402: Performance optimization for squeezenet/xray model

Change-Id: If31b186b99a6d6087164019fe94d3ac9279e3204
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/119526
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCDepthwiseConvolutionLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCDepthwiseConvolutionLayer.h
index 7b99ea5..e523356 100644
--- a/arm_compute/runtime/GLES_COMPUTE/functions/GCDepthwiseConvolutionLayer.h
+++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCDepthwiseConvolutionLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -25,8 +25,10 @@
 #define __ARM_COMPUTE_GCDEPTHWISECONVOLUTION_H__
 
 #include "arm_compute/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCTensorShiftKernel.h"
 #include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/GLES_COMPUTE/IGCSimpleFunction.h"
+#include "arm_compute/runtime/IFunction.h"
 
 namespace arm_compute
 {
@@ -38,9 +40,11 @@
  * -# @ref GCFillBorderKernel (if pad_x or pad_y > 0)
  *
  */
-class GCDepthwiseConvolutionLayer3x3 : public IGCSimpleFunction
+class GCDepthwiseConvolutionLayer3x3 : public IFunction
 {
 public:
+    /** Default constructor */
+    GCDepthwiseConvolutionLayer3x3();
     /** Initialize the function's source, destination, conv and border_size.
      *
      * @param[in, out] input     Source tensor. Data type supported: F16. (Written to only for border filling).
@@ -51,6 +55,14 @@
      * @param[in]      conv_info Padding and stride information to use for the convolution.
      */
     void configure(IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info);
+
+    // Inherited methods overridden:
+    void run() override final;
+
+private:
+    std::unique_ptr<IGCKernel> _kernel;
+    GCFillBorderKernel         _border_handler;
+    GCTensorShiftKernel        _shift_handler;
 };
 }
 #endif /*__ARM_COMPUTE_GCDEPTHWISECONVOLUTION_H__ */
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h
index c6b948b..976aee7 100644
--- a/arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h
+++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h
@@ -53,16 +53,17 @@
     GCDirectConvolutionLayer();
     /** Set the input and output tensors.
      *
-     * @param[in]  input     Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
-     *                       while every optional dimension from 4 and above represent a batch of inputs.
-     *                       Data types supported: F16/F32.
-     * @param[in]  weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
-     * @param[in]  biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
-     * @param[out] output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
-     *                       Data types supported: Same as @p input.
-     * @param[in]  conv_info Contains padding and stride information described in @ref PadStrideInfo.
+     * @param[in,out] input     Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
+     *                          while every optional dimension from 4 and above represent a batch of inputs.
+     *                          Data types supported: F16/F32.
+     *                          input will be written to only if it is currently left aligned.
+     * @param[in]     weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
+     * @param[in]     biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
+     * @param[out]    output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
+     *                          Data types supported: Same as @p input.
+     * @param[in]     conv_info Contains padding and stride information described in @ref PadStrideInfo.
      */
-    void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info);
+    void configure(IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info);
 
     // Inherited methods overridden:
     void run() override final;
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCPoolingLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCPoolingLayer.h
index 5733542..6f1dbb0 100644
--- a/arm_compute/runtime/GLES_COMPUTE/functions/GCPoolingLayer.h
+++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCPoolingLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -24,7 +24,11 @@
 #ifndef __ARM_COMPUTE_GCPOOLINGLAYER_H__
 #define __ARM_COMPUTE_GCPOOLINGLAYER_H__
 
-#include "arm_compute/runtime/GLES_COMPUTE/IGCSimpleFunction.h"
+#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCPoolingLayerKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/kernels/GCTensorShiftKernel.h"
+#include "arm_compute/runtime/IFunction.h"
 
 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/Types.h"
@@ -38,9 +42,10 @@
  * -# @ref GCFillBorderKernel (executed if padding size is different from zero)
  * -# @ref GCPoolingLayerKernel
  */
-class GCPoolingLayer : public IGCSimpleFunction
+class GCPoolingLayer : public IFunction
 {
 public:
+    GCPoolingLayer();
     /** Set the input and output tensors.
      *
      * @param[in,out] input     Source tensor. (Written to only when padding != 0) Data types supported: F16/F32.
@@ -57,6 +62,13 @@
      * @return a status
      */
     static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
+
+    void run() override final;
+
+private:
+    std::unique_ptr<IGCKernel> _kernel;
+    GCFillBorderKernel         _border_handler;
+    GCTensorShiftKernel        _shift_handler;
 };
 } // namespace arm_compute
 #endif /* __ARM_COMPUTE_GCPOOLINGLAYER_H__ */