From 856f66e6c61b77d03f754cd0fa8439891f0e4aca Mon Sep 17 00:00:00 2001
From: Georgios Pinitas <georgios.pinitas@arm.com>
Date: Thu, 22 Apr 2021 21:13:21 +0100
Subject: Port CLGEMM to memory injecting interface

Moves the following kernels:
 - CLGEMMMatrixMultiplyKernel
 - CLGEMMMatrixMultiplyNativeKernel
 - CLGEMMMatrixMultipluReshapedKernel
 - CLGEMMMatrixMultiplyReshapedOnlyRHSKernel

 Moves the following functions
 - CLGEMM

Introduces facilities to easy handling of auxiliary temporary buffers
under then new run interface. Such are:
 - CLAuxTensorHandler: That allows wrapping of workspace buffers memory
 to CLBuffer objects
 - Ability to inject TensorInfo to allocator without transferring
 ownership. This reduce the copy overhead if needed.

Resolves: COMPMID-4188

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I7055435d831b05b749b26302082e4ac45f26dfb0
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5498
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
---
 src/core/helpers/MemoryHelpers.h | 86 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 86 insertions(+)
 create mode 100644 src/core/helpers/MemoryHelpers.h

(limited to 'src/core/helpers')

diff --git a/src/core/helpers/MemoryHelpers.h b/src/core/helpers/MemoryHelpers.h
new file mode 100644
index 0000000000..6756a90c25
--- /dev/null
+++ b/src/core/helpers/MemoryHelpers.h
@@ -0,0 +1,86 @@
+/*
+ * 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.
+ */
+#ifndef SRC_COMMON_MEMORY_HELPERS_H
+#define SRC_COMMON_MEMORY_HELPERS_H
+
+#include "arm_compute/core/ITensorPack.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/experimental/Types.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+namespace arm_compute
+{
+inline int offset_int_vec(int offset)
+{
+    return ACL_INT_VEC + offset;
+}
+
+template <typename TensorType>
+using WorkspaceData = std::vector<std::pair<int, std::unique_ptr<TensorType>>>;
+
+template <typename TensorType>
+WorkspaceData<TensorType> manage_workspace(const experimental::MemoryRequirements &mem_reqs,
+                                           MemoryGroup                            &mgroup,
+                                           ITensorPack &run_pack, ITensorPack &prep_pack)
+{
+    WorkspaceData<TensorType> workspace_memory;
+    for(const auto &req : mem_reqs)
+    {
+        if(req.size == 0)
+        {
+            continue;
+        }
+
+        const auto aux_info = TensorInfo{ TensorShape(req.size), 1, DataType::U8 };
+        workspace_memory.emplace_back(req.slot, std::make_unique<TensorType>());
+
+        auto aux_tensor = workspace_memory.back().second.get();
+        ARM_COMPUTE_ERROR_ON_NULLPTR(aux_tensor);
+        aux_tensor->allocator()->init(aux_info);
+
+        if(req.lifetime == experimental::MemoryLifetime::Temporary)
+        {
+            mgroup.manage(aux_tensor);
+        }
+        else
+        {
+            prep_pack.add_tensor(req.slot, aux_tensor);
+        }
+        run_pack.add_tensor(req.slot, aux_tensor);
+    }
+
+    for(auto &mem : workspace_memory)
+    {
+        auto tensor = mem.second.get();
+        tensor->allocator()->allocate();
+    }
+
+    return workspace_memory;
+}
+} // namespace arm_compute
+#endif /* SRC_COMMON_MEMORY_HELPERS_H */
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