summaryrefslogtreecommitdiff
path: root/runtimes/pure_arm_compute/src/internal/Sinks.h
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/pure_arm_compute/src/internal/Sinks.h')
-rw-r--r--runtimes/pure_arm_compute/src/internal/Sinks.h74
1 files changed, 74 insertions, 0 deletions
diff --git a/runtimes/pure_arm_compute/src/internal/Sinks.h b/runtimes/pure_arm_compute/src/internal/Sinks.h
new file mode 100644
index 000000000..e8a7d5966
--- /dev/null
+++ b/runtimes/pure_arm_compute/src/internal/Sinks.h
@@ -0,0 +1,74 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __INTERNAL_SINKS_H__
+#define __INTERNAL_SINKS_H__
+
+#include "internal/Sink.h"
+
+// TODO Extract TensorSink into TensorSink.h
+//
+// TensorSink
+//
+#include "internal/Swizzle.h"
+
+#include "internal/nnapi/tensor/View.h"
+#include "internal/arm_compute/tensor/View.h"
+
+#include "util/tensor/IndexIterator.h"
+
+template <typename T> class TensorSink final : public Sink
+{
+public:
+ TensorSink(const nnfw::util::tensor::Shape &shape, T *base, const size_t size)
+ : _shape{shape}, _base{base}, _size{size}
+ {
+ // DO NOTHING
+ }
+
+public:
+ void pull(::arm_compute::ITensor &tensor) const override
+ {
+ const ::internal::arm_compute::tensor::View<T> from{&tensor};
+ ::internal::nnapi::tensor::View<T> into{_shape, _base, _size};
+
+ using ::nnfw::util::tensor::iterate;
+ using ::nnfw::util::tensor::Index;
+
+ const uint32_t rank = _shape.rank();
+
+ ::nnfw::util::tensor::iterate(_shape) << [&](const Index &raw) {
+ Index permuted(raw.rank());
+
+ for (uint32_t axis = 0; axis < rank; ++axis)
+ {
+ permuted.at(ToARMComputeAxis(rank, axis).value()) = raw.at(axis);
+ }
+
+ const auto value = from.at(permuted);
+ into.at(raw) = value;
+ };
+ }
+
+private:
+ const nnfw::util::tensor::Shape _shape;
+
+private:
+ T *const _base;
+ const size_t _size;
+};
+
+#endif // __INTERNAL_SINKS_H__