COMPMID-417: Use a common create_tensor function

Change-Id: I6b0511484a5b433ebec3fd62d778e64dcb4f89b5
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79362
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 2 insertions, 41 deletions

diff --git a/tests/NEON/Helper.h b/tests/NEON/Helper.h
index e64ac27ef3..e77615406e 100644
--- a/tests/NEON/Helper.h
+++ b/tests/NEON/Helper.h
@@ -24,11 +24,9 @@
 #ifndef __ARM_COMPUTE_TEST_NEON_HELPER_H__
 #define __ARM_COMPUTE_TEST_NEON_HELPER_H__
 
-#include "Globals.h"
-#include "TensorLibrary.h"
-
 #include "arm_compute/runtime/Array.h"
-#include "arm_compute/runtime/Tensor.h"
+
+#include <algorithm>
 
 namespace arm_compute
 {
@@ -36,43 +34,6 @@ namespace test
 {
 namespace neon
 {
-/** Helper to create an empty tensor.
- *
- * @param[in] shape                Desired shape.
- * @param[in] data_type            Desired data type.
- * @param[in] num_channels         (Optional) It indicates the number of channels for each tensor element
- * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16.
- *
- * @return Empty @ref Tensor with the specified shape and data type.
- */
-inline Tensor create_tensor(const TensorShape &shape, DataType data_type, int num_channels = 1, int fixed_point_position = 0)
-{
-    Tensor tensor;
-    tensor.allocator()->init(TensorInfo(shape, num_channels, data_type, fixed_point_position));
-
-    return tensor;
-}
-
-/** Helper to create an empty tensor.
- *
- * @param[in] name                 File name from which to get the dimensions.
- * @param[in] data_type            Desired data type.
- * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers
- *
- * @return Empty @ref Tensor with the specified shape and data type.
- */
-inline Tensor create_tensor(const std::string &name, DataType data_type, int fixed_point_position = 0)
-{
-    constexpr unsigned int num_channels = 1;
-
-    const RawTensor &raw = library->get(name);
-
-    Tensor tensor;
-    tensor.allocator()->init(TensorInfo(raw.shape(), num_channels, data_type, fixed_point_position));
-
-    return tensor;
-}
-
 template <typename T>
 Array<T> create_array(const std::vector<T> &v)
 {