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-rw-r--r--tests/tools/nnpackage_run/src/nnfw_util.cc48
1 files changed, 0 insertions, 48 deletions
diff --git a/tests/tools/nnpackage_run/src/nnfw_util.cc b/tests/tools/nnpackage_run/src/nnfw_util.cc
deleted file mode 100644
index 01e72f99e..000000000
--- a/tests/tools/nnpackage_run/src/nnfw_util.cc
+++ /dev/null
@@ -1,48 +0,0 @@
-/*
- * Copyright (c) 2019 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 <cassert>
-#include <string>
-#include "nnfw.h"
-
-namespace nnpkg_run
-{
-uint64_t num_elems(const nnfw_tensorinfo *ti)
-{
- uint64_t n = 1;
- for (uint32_t i = 0; i < ti->rank; ++i)
- {
- assert(ti->dims[i] >= 0);
- n *= ti->dims[i];
- }
- return n;
-}
-
-uint64_t bufsize_for(const nnfw_tensorinfo *ti)
-{
- static int elmsize[] = {
- sizeof(float), /* NNFW_TYPE_TENSOR_FLOAT32 */
- sizeof(int), /* NNFW_TYPE_TENSOR_INT32 */
- sizeof(uint8_t), /* NNFW_TYPE_TENSOR_QUANT8_ASYMM */
- sizeof(bool), /* NNFW_TYPE_TENSOR_BOOL = 3 */
- sizeof(uint8_t), /* NNFW_TYPE_TENSOR_UINT8 = 4 */
- sizeof(int64_t), /* NNFW_TYPE_TENSOR_INT64 = 5 */
-
- };
- return elmsize[ti->dtype] * num_elems(ti);
-}
-
-} // end of namespace