COMPMID-1725: Implement Pack

Change-Id: I13f6e4c600f39355f69e015409bf30dafdc5e3aa
Reviewed-on: https://review.mlplatform.org/332
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

1 files changed, 125 insertions, 0 deletions

diff --git a/tests/validation/reference/StackLayer.cpp b/tests/validation/reference/StackLayer.cpp
new file mode 100644
index 0000000000..50e440c914
--- /dev/null
+++ b/tests/validation/reference/StackLayer.cpp
@@ -0,0 +1,125 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "StackLayer.h"
+
+#include "arm_compute/core/Types.h"
+
+#include "tests/validation/Helpers.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> stack_layer(const std::vector<SimpleTensor<T>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis)
+{
+    ARM_COMPUTE_ERROR_ON(output_shape.num_dimensions() > 5);
+    ARM_COMPUTE_ERROR_ON(in.size() < 2);
+    ARM_COMPUTE_ERROR_ON(axis > in[0].shape().num_dimensions());
+
+    SimpleTensor<T> out{ output_shape, data_type };
+
+    const int width       = in[0].shape()[0];
+    const int height      = in[0].shape()[1];
+    const int depth       = in[0].shape()[2];
+    const int batch_size  = in[0].shape()[3];
+    const int num_tensors = in.size();
+
+    // Array to store the input coordinates
+    // i_coordinates[0] = xi, i_coordinates[1] = yi, i_coordinates[2] = zi
+    // i_coordinates[3] = bi, i_coordinates[4] = i, i_coordinates[5] = 0
+    // i_coordinates[5] will be always zero and used for not incrementing the output when the input has less than 4 dimensions
+    int i_coordinates[6] = { 0 };
+
+    // Array of pointers used to map the output coordinates to the input ones accordingly with the axis
+    // This array is initialized with &i_coordinates[5] since this will be always zero
+    int *o_coordinates[5] = { &i_coordinates[5], &i_coordinates[5], &i_coordinates[5], &i_coordinates[5], &i_coordinates[5] };
+
+    // Set the axis coordinate
+    o_coordinates[axis] = &i_coordinates[4];
+
+    unsigned int k_shift = 0;
+
+    // Map the output coordinates
+    for(unsigned int k = 0; k < in[0].shape().num_dimensions(); ++k)
+    {
+        if(k == axis)
+        {
+            k_shift++;
+        }
+
+        o_coordinates[k + k_shift] = &i_coordinates[k];
+    }
+
+    // Use alias for the input coordinates
+    int &xi = i_coordinates[0];
+    int &yi = i_coordinates[1];
+    int &zi = i_coordinates[2];
+    int &bi = i_coordinates[3];
+    int &i  = i_coordinates[4];
+
+    // Use alias for the output coordinates
+    int &xo = *(o_coordinates[0]);
+    int &yo = *(o_coordinates[1]);
+    int &zo = *(o_coordinates[2]);
+    int &bo = *(o_coordinates[3]);
+    int &wo = *(o_coordinates[4]);
+
+    // Stack tensors
+    for(; i < num_tensors; ++(i))
+    {
+        bi = 0;
+        for(; bi < batch_size; ++(bi))
+        {
+            zi = 0;
+            for(; zi < depth; ++(zi))
+            {
+                yi = 0;
+                for(; yi < height; ++(yi))
+                {
+                    xi = 0;
+                    for(; xi < width; ++(xi))
+                    {
+                        *(reinterpret_cast<T *>(out(Coordinates(xo, yo, zo, bo, wo)))) = *(reinterpret_cast<const T *>(in[i](Coordinates(xi, yi, zi, bi))));
+                    }
+                }
+            }
+        }
+    }
+
+    return out;
+}
+template SimpleTensor<int> stack_layer(const std::vector<SimpleTensor<int>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis);
+template SimpleTensor<short> stack_layer(const std::vector<SimpleTensor<short>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis);
+template SimpleTensor<char> stack_layer(const std::vector<SimpleTensor<char>> &in, const TensorShape &output_shape, DataType data_type, unsigned int axis);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute