COMPMID-363 Add Graph library support
Change-Id: Ie841419bf65d0e06bdfe0bdd2d8d4e0bb3631e54
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87931
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
diff --git a/src/graph/Tensor.cpp b/src/graph/Tensor.cpp
new file mode 100644
index 0000000..c534ae0
--- /dev/null
+++ b/src/graph/Tensor.cpp
@@ -0,0 +1,151 @@
+/*
+ * Copyright (c) 2017 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 "arm_compute/graph/Tensor.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename TensorType>
+std::unique_ptr<ITensor> initialise_tensor(TensorInfo &info)
+{
+ auto tensor = arm_compute::support::cpp14::make_unique<TensorType>();
+ tensor->allocator()->init(info);
+ return std::move(tensor);
+}
+
+template <typename TensorType>
+void tensor_allocate(ITensor &tensor)
+{
+ auto itensor = dynamic_cast<TensorType *>(&tensor);
+ ARM_COMPUTE_ERROR_ON_NULLPTR(itensor);
+ itensor->allocator()->allocate();
+}
+} // namespace
+
+Tensor::Tensor(TensorInfo &&info)
+ : _target(Hint::DONT_CARE), _info(info), _accessor(nullptr), _tensor(nullptr)
+{
+}
+
+Tensor::Tensor(Tensor &&src) noexcept
+ : _target(src._target),
+ _info(std::move(src._info)),
+ _accessor(std::move(src._accessor)),
+ _tensor(std::move(src._tensor))
+{
+}
+
+void Tensor::set_info(TensorInfo &&info)
+{
+ _info = info;
+}
+
+bool Tensor::call_accessor()
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(_accessor.get());
+ auto cl_tensor = dynamic_cast<arm_compute::CLTensor *>(_tensor.get());
+ if(cl_tensor != nullptr && cl_tensor->buffer() == nullptr)
+ {
+ cl_tensor->map();
+ }
+ bool retval = _accessor->access_tensor(*_tensor);
+ if(cl_tensor != nullptr)
+ {
+ cl_tensor->unmap();
+ }
+ return retval;
+}
+
+ITensor *Tensor::tensor()
+{
+ return _tensor.get();
+}
+
+const TensorInfo &Tensor::info() const
+{
+ return _info;
+}
+
+ITensor *Tensor::set_target(Hint target)
+{
+ if(_tensor != nullptr)
+ {
+ ARM_COMPUTE_ERROR_ON(target != _target);
+ }
+ else
+ {
+ switch(target)
+ {
+ case Hint::OPENCL:
+ _tensor = initialise_tensor<arm_compute::CLTensor>(_info);
+ break;
+ case Hint::NEON:
+ _tensor = initialise_tensor<arm_compute::Tensor>(_info);
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Invalid Hint");
+ }
+ _target = target;
+ }
+ return _tensor.get();
+}
+
+void Tensor::allocate()
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(_tensor.get());
+ switch(_target)
+ {
+ case Hint::OPENCL:
+ tensor_allocate<arm_compute::CLTensor>(*_tensor);
+ break;
+ case Hint::NEON:
+ tensor_allocate<arm_compute::Tensor>(*_tensor);
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Invalid Hint");
+ }
+}
+
+void Tensor::allocate_and_fill_if_needed()
+{
+ allocate();
+ if(_accessor != nullptr)
+ {
+ call_accessor();
+ }
+}
+
+Hint Tensor::target() const
+{
+ return _target;
+}