Add Auxiliary tensors

The asssign_memory_descriptors method could not automatically assign
Auxiliary tensors. Therefore changes are made to allow developers to
explicitly mark auxiliary tensors.

However, to avoid ambiguity between auxiliary and "intermediate"
tensors, we solidify the definitions of both:

Intermediate tensors are a strictly topological term. They are defined
as "inner" tensors within a workload, hidden from the user, as opposed
to input and output tensors exposed to the users.

Auxiliary tensors are a subcategory of Intermediate tensors, and are
also about memory allocation. They are intermediate tensors that need
real memory backing.

For more details please see the documentation of MemoryType enum

Rename MemoryType::NoAlloc to MemoryType::Virtual

Partially resolves: COMPMID-5523

Signed-off-by: SiCong Li <sicong.li@arm.com>
Change-Id: Ibde44c2ec1570be9423e0fb38b53bb136ffc36dd
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8940
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>

1 files changed, 6 insertions, 2 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGraph.h b/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGraph.h
index e4f498b130..8314ea0a50 100644
--- a/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGraph.h
+++ b/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGraph.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022 Arm Limited.
+ * Copyright (c) 2022-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -89,8 +89,12 @@ public:
         }
     }
     /** Perform component fusion and serialize the graph into a stream of component groups
+     *
+     * @param[in] mem_map MemoryDescriptorMap for all the tensors in the component graph
+     *
+     * @return GpuKernelComponentStream
      */
-    GpuKernelComponentStream fuse() const;
+    GpuKernelComponentStream fuse(const MemoryDescriptorMap &mem_map) const;
 
 private:
     static std::vector<DependencyGraph::TensorId> get_tensor_ids(const std::vector<const ITensorInfo *> tensors);