Add tensor related data structures for the new API

Adds the following:
 - TensorDescriptor: which is responsible for holding the information
 needed to represent a tensor (e.g. shape, dimensions, etc)
 - Tensor: an aggreate object of a descriptor and a backing memory
 - TensorPack: A map of tensor that can be passed to operators as
 inputs/outputs

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I02734ac6ad85700d91d6e73217b4637adbf5d177
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5260
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/common/utils/LegacySupport.cpp b/src/common/utils/LegacySupport.cpp
new file mode 100644
index 0000000..5981c65
--- /dev/null
+++ b/src/common/utils/LegacySupport.cpp
@@ -0,0 +1,66 @@
+/*
+ * Copyright (c) 2021 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 "src/common/utils/LegacySupport.h"
+
+namespace arm_compute
+{
+namespace detail
+{
+namespace
+{
+DataType data_type_mapper(AclDataType data_type)
+{
+    switch(data_type)
+    {
+        case AclDataType::AclFloat32:
+            return DataType::F32;
+        case AclDataType::AclFloat16:
+            return DataType::F16;
+        case AclDataType::AclBFloat16:
+            return DataType::BFLOAT16;
+        default:
+            return DataType::UNKNOWN;
+            ;
+    }
+}
+
+TensorShape tensor_shape_mapper(int32_t ndims, int32_t *shape)
+{
+    TensorShape legacy_shape{};
+    for(int32_t d = 0; d < ndims; ++d)
+    {
+        legacy_shape.set(d, shape[d], false);
+    }
+    return legacy_shape;
+}
+} // namespace
+
+TensorInfo convert_to_legacy_tensor_info(const AclTensorDescriptor &desc)
+{
+    TensorInfo legacy_desc;
+    legacy_desc.init(tensor_shape_mapper(desc.ndims, desc.shape), 1, data_type_mapper(desc.data_type));
+    return legacy_desc;
+}
+} // namespace detail
+} // namespace arm_compute