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authorJohn Richardson <john.richardson@arm.com>2017-09-18 16:10:48 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commitdd715f2a88827241a3fb9e4a2d8be82455f649f7 (patch)
tree2353cbe326073870877e5e8211a7760a743eb919 /tests/validation_old/Reference.h
parentf5f34bb068565bf9435ba5561aae1c9280db8bbe (diff)
downloadComputeLibrary-dd715f2a88827241a3fb9e4a2d8be82455f649f7.tar.gz
COMPMID-505: Move PixelWiseMultiplication to new validation
Change-Id: I4daff53f5ee7f0393451425ba20aee1013466954 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/89200 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation_old/Reference.h')
-rw-r--r--tests/validation_old/Reference.h29
1 files changed, 0 insertions, 29 deletions
diff --git a/tests/validation_old/Reference.h b/tests/validation_old/Reference.h
index f6235f5309..7b4043c466 100644
--- a/tests/validation_old/Reference.h
+++ b/tests/validation_old/Reference.h
@@ -89,35 +89,6 @@ public:
* @return Computed raw tensor.
*/
static RawTensor compute_reference_accumulate_weighted(const TensorShape &shape, float alpha);
- /** Compute reference pixel-wise multiplication
- *
- * @param[in] shape Shape of the input and output tensors.
- * @param[in] dt_in0 Data type of first input tensor.
- * @param[in] dt_in1 Data type of second input tensor.
- * @param[in] dt_out Data type of the output tensor.
- * @param[in] scale Non-negative scale.
- * @param[in] convert_policy Overflow policy of the operation.
- * @param[in] rounding_policy Rounding policy of the operation.
- *
- * @return Computed raw tensor.
- */
- static RawTensor compute_reference_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy,
- RoundingPolicy rounding_policy);
- /** Compute reference pixel-wise multiplication.
- *
- * @param[in] shape Shape of the input and output tensors.
- * @param[in] dt_in0 Data type of first input tensor.
- * @param[in] dt_in1 Data type of second input tensor.
- * @param[in] dt_out Data type of the output tensor.
- * @param[in] scale Scale to apply after multiplication. Must be positive.
- * @param[in] fixed_point_position Fixed point position that expresses the number of bits for the fractional part of the number.
- * @param[in] convert_policy Overflow policy of the operation.
- * @param[in] rounding_policy Rounding policy of the operation.
- *
- * @return Computed raw tensor.
- */
- static RawTensor compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position,
- ConvertPolicy convert_policy, RoundingPolicy rounding_policy);
/** Compute reference roi pooling layer.
*
* @param[in] shape Shape of the input tensor.