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authorMoritz Pflanzer <moritz.pflanzer@arm.com>2017-07-26 11:49:37 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:16:42 +0100
commitb3d2579b567eabd98fdb4861bf1380fefa18c9aa (patch)
treeec684767bf8e445162abb2b372cce46dc6d16443 /tests/validation/Reference.h
parent8594b1139fd72e541e725296bd8bb625496f3381 (diff)
downloadComputeLibrary-b3d2579b567eabd98fdb4861bf1380fefa18c9aa.tar.gz
COMPMID-415: Move ConvolutionLayer to new validation
Change-Id: I1f40dff43142c4e2c096122bfa1ca08241ff80ff Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81952 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/Reference.h')
-rw-r--r--tests/validation/Reference.h14
1 files changed, 0 insertions, 14 deletions
diff --git a/tests/validation/Reference.h b/tests/validation/Reference.h
index 8c22545cb1..f3216fbaf9 100644
--- a/tests/validation/Reference.h
+++ b/tests/validation/Reference.h
@@ -306,20 +306,6 @@ public:
* @return Computed raw tensor.
*/
static RawTensor compute_reference_batch_normalization_layer(const TensorShape &shape0, const TensorShape &shape1, DataType dt, float epsilon, int fixed_point_position = 0);
- /** Compute reference convolution layer
- *
- * @param[in] input_shape Shape for the input tensor
- * @param[in] weights_shape Shape for the weights tensor
- * @param[in] bias_shape Shape for the bias tensor
- * @param[in] output_shape Shape for the output tensor
- * @param[in] dt Data type to use
- * @param[in] conv_info Pads and strides information for the convolution layer
- * @param[in] fixed_point_position Number of bits for the fractional part of the fixed point numbers
- *
- * @return Computed raw tensor.
- */
- static RawTensor compute_reference_convolution_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt,
- const PadStrideInfo &conv_info, int fixed_point_position);
/** Compute reference for fully connected layer function
*
* @param[in] input_shape Shape for the input tensor