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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/transforms/output_4x4_3x3_fp32.cpp')
-rw-r--r--src/core/NEON/kernels/convolution/winograd/transforms/output_4x4_3x3_fp32.cpp3
1 files changed, 0 insertions, 3 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/transforms/output_4x4_3x3_fp32.cpp b/src/core/NEON/kernels/convolution/winograd/transforms/output_4x4_3x3_fp32.cpp
index 8f47736f0c..609823b9e1 100644
--- a/src/core/NEON/kernels/convolution/winograd/transforms/output_4x4_3x3_fp32.cpp
+++ b/src/core/NEON/kernels/convolution/winograd/transforms/output_4x4_3x3_fp32.cpp
@@ -41,9 +41,6 @@ int Transform::ops_performed(const Tensor4DShape &shape)
return 170 * tile_M * tile_N * shape.n_channels;
}
-// Instantiate cost methods
-template int Transform::ops_performed(const Tensor4DShape&);
-
/* F(4x4, 3x3) constructs 4x4 output tiles from a 3x3 convolution. Since we use
* enough tiles to cover the output space each output tile may contain up to 3
* padded values to the right and bottom columns or rows of the tile, e.g.: