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>

1 files changed, 11 insertions, 0 deletions

diff --git a/src/cpu/CpuContext.cpp b/src/cpu/CpuContext.cpp
index 6ff35602f3..d62c1b6310 100644
--- a/src/cpu/CpuContext.cpp
+++ b/src/cpu/CpuContext.cpp
@@ -24,6 +24,7 @@
 #include "src/cpu/CpuContext.h"
 
 #include "arm_compute/core/CPP/CPPTypes.h"
+#include "src/cpu/CpuTensor.h"
 #include "src/runtime/CPUUtils.h"
 
 #include <cstdlib>
@@ -185,5 +186,15 @@ AllocatorWrapper &CpuContext::allocator()
 {
     return _allocator;
 }
+
+ITensorV2 *CpuContext::create_tensor(const AclTensorDescriptor &desc, bool allocate)
+{
+    CpuTensor *tensor = new CpuTensor(this, desc);
+    if(tensor != nullptr && allocate)
+    {
+        tensor->allocate();
+    }
+    return tensor;
+}
 } // namespace cpu
 } // namespace arm_compute