diff options
Diffstat (limited to 'tests/RawTensor.h')
| -rw-r--r-- | tests/RawTensor.h | 42 |
1 files changed, 19 insertions, 23 deletions
diff --git a/tests/RawTensor.h b/tests/RawTensor.h index 3501ad16ff..6078f12ee7 100644 --- a/tests/RawTensor.h +++ b/tests/RawTensor.h @@ -40,20 +40,18 @@ class RawTensor : public SimpleTensor<uint8_t> public: /** Create an uninitialised tensor of the given @p shape and @p format. * - * @param[in] shape Shape of the new raw tensor. - * @param[in] format Format of the new raw tensor. - * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers + * @param[in] shape Shape of the new raw tensor. + * @param[in] format Format of the new raw tensor. */ - RawTensor(TensorShape shape, Format format, int fixed_point_position = 0); + RawTensor(TensorShape shape, Format format); /** Create an uninitialised tensor of the given @p shape and @p data type. * - * @param[in] shape Shape of the new raw tensor. - * @param[in] data_type Data type of the new raw tensor. - * @param[in] num_channels (Optional) Number of channels (default = 1). - * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers (default = 0). + * @param[in] shape Shape of the new raw tensor. + * @param[in] data_type Data type of the new raw tensor. + * @param[in] num_channels (Optional) Number of channels (default = 1). */ - RawTensor(TensorShape shape, DataType data_type, int num_channels = 1, int fixed_point_position = 0); + RawTensor(TensorShape shape, DataType data_type, int num_channels = 1); /** Conversion constructor from SimpleTensor. * @@ -65,13 +63,12 @@ public: template <typename T> RawTensor(SimpleTensor<T> &&tensor) { - _buffer = std::unique_ptr<uint8_t[]>(reinterpret_cast<uint8_t *>(tensor._buffer.release())); - _shape = std::move(tensor._shape); - _format = tensor._format; - _data_type = tensor._data_type; - _num_channels = tensor._num_channels; - _fixed_point_position = tensor._fixed_point_position; - _data_layout = tensor._data_layout; + _buffer = std::unique_ptr<uint8_t[]>(reinterpret_cast<uint8_t *>(tensor._buffer.release())); + _shape = std::move(tensor._shape); + _format = tensor._format; + _data_type = tensor._data_type; + _num_channels = tensor._num_channels; + _data_layout = tensor._data_layout; } /** Conversion operator to SimpleTensor. @@ -84,13 +81,12 @@ public: operator SimpleTensor<T>() { SimpleTensor<T> cast; - cast._buffer = std::unique_ptr<T[]>(reinterpret_cast<T *>(_buffer.release())); - cast._shape = std::move(_shape); - cast._format = _format; - cast._data_type = _data_type; - cast._num_channels = _num_channels; - cast._fixed_point_position = _fixed_point_position; - cast._data_layout = _data_layout; + cast._buffer = std::unique_ptr<T[]>(reinterpret_cast<T *>(_buffer.release())); + cast._shape = std::move(_shape); + cast._format = _format; + cast._data_type = _data_type; + cast._num_channels = _num_channels; + cast._data_layout = _data_layout; return cast; } |