diff options
Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/transforms/input_2x2_3x3_fp32.cpp')
| -rw-r--r-- | src/core/NEON/kernels/convolution/winograd/transforms/input_2x2_3x3_fp32.cpp | 21 |
1 files changed, 2 insertions, 19 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/transforms/input_2x2_3x3_fp32.cpp b/src/core/NEON/kernels/convolution/winograd/transforms/input_2x2_3x3_fp32.cpp index 97b2695d69..a9d5d52d15 100644 --- a/src/core/NEON/kernels/convolution/winograd/transforms/input_2x2_3x3_fp32.cpp +++ b/src/core/NEON/kernels/convolution/winograd/transforms/input_2x2_3x3_fp32.cpp @@ -29,22 +29,7 @@ namespace winograd { -using Transform = WinogradGEMM<2, 2, 3, 3>::InputTransform<float>; - -/****************************************************************************** - * Cost methods for the input transform. - * ===================================== - */ -template <> -template <> -int Transform::ops_performed(const Tensor4DShape &input_shape) -{ - // NOTE: Cost in FLOPs rather than instructions or uops. - const int tile_M = iceildiv(input_shape.n_rows, inner_tile_rows); - const int tile_N = iceildiv(input_shape.n_cols, inner_tile_cols); - return 16 * 16 * tile_M * tile_N * input_shape.n_channels; -} -/*****************************************************************************/ +using Transform = InputTransformImpl<3, 3, 4, 4, float>; /***************************************************************************** * F(2x2, 3x3) implies the use of a 4x4 input tile. Such tiles can require a @@ -100,7 +85,6 @@ int Transform::ops_performed(const Tensor4DShape &input_shape) * Padding right in {0, 1, 2} */ template <> -template <> template <int pad_top, int pad_left, int pad_bottom, int pad_right> void Transform::process_tile( int n_channels, @@ -328,7 +312,6 @@ void Transform::process_tile( } template <> -template <> const Transform::TileFn Transform::tile_fns[n_pad_top][n_pad_left][n_pad_bottom][n_pad_right] = { { @@ -405,5 +388,5 @@ const Transform::TileFn Transform::tile_fns[n_pad_top][n_pad_left][n_pad_bottom] } }; -template struct WinogradGEMM<2, 2, 3, 3>::InputTransform<float>; +template class InputTransform<3, 3, 4, 4, float>; } // namespace winograd |