summaryrefslogtreecommitdiff
path: root/libs/misc/examples/tensor_index_iterator.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'libs/misc/examples/tensor_index_iterator.cpp')
-rw-r--r--libs/misc/examples/tensor_index_iterator.cpp74
1 files changed, 74 insertions, 0 deletions
diff --git a/libs/misc/examples/tensor_index_iterator.cpp b/libs/misc/examples/tensor_index_iterator.cpp
new file mode 100644
index 000000000..8a19dac87
--- /dev/null
+++ b/libs/misc/examples/tensor_index_iterator.cpp
@@ -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.
+ */
+
+#include "misc/tensor/IndexIterator.h"
+
+#include <array>
+
+#include <iostream>
+#include <algorithm>
+
+#include <cassert>
+
+void test_iterate(void)
+{
+ const nnfw::misc::tensor::Shape shape{3, 4, 7};
+
+ std::array<int, 3 * 4 * 7> array;
+
+ array.fill(0);
+
+ using nnfw::misc::tensor::iterate;
+ using nnfw::misc::tensor::Index;
+
+ iterate(shape) << [&](const Index &index) {
+ assert(index.rank() == shape.rank());
+
+ const size_t rank = index.rank();
+
+ uint32_t offset = index.at(0);
+
+ for (size_t axis = 1; axis < rank; ++axis)
+ {
+ offset *= shape.dim(axis);
+ offset += index.at(axis);
+ }
+
+ array[offset] += 1;
+ };
+
+ assert(std::all_of(array.begin(), array.end(), [](int num) { return num == 1; }));
+}
+
+int main(int argc, char **argv)
+{
+ test_iterate();
+
+ nnfw::misc::tensor::Shape shape{3, 4, 3, 4};
+
+ std::cout << "Iterate over tensor{3, 4, 3, 4}" << std::endl;
+
+ nnfw::misc::tensor::iterate(shape) << [](const nnfw::misc::tensor::Index &index) {
+ std::cout << "rank: " << index.rank() << std::endl;
+
+ for (size_t d = 0; d < index.rank(); ++d)
+ {
+ std::cout << " offset(" << d << ") = " << index.at(d) << std::endl;
+ }
+ };
+
+ return 0;
+}