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author | Moritz Pflanzer <moritz.pflanzer@arm.com> | 2017-06-30 12:48:43 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
commit | 94450f1fc91a89778354c2e1c07a328ba86d9cfc (patch) | |
tree | 9a84b1b86f5361027492b6698ea946d2e321baba /tests/NEON | |
parent | d4f8c27f08c968f608a9e0e9b88df1871f62cdd3 (diff) | |
download | ComputeLibrary-94450f1fc91a89778354c2e1c07a328ba86d9cfc.tar.gz |
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>
Diffstat (limited to 'tests/NEON')
-rw-r--r-- | tests/NEON/Helper.h | 43 |
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) { |