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authorGiorgio Arena <giorgio.arena@arm.com>2018-03-15 17:58:20 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:49:16 +0000
commit2d9de0a3fa6ad858e70040124f362799a962bb6a (patch)
tree0a055c5100438a929b3b04945821665d2fef8751 /arm_compute/core/utils
parented99f411d52949720a4d64d91664cd71e46b79d5 (diff)
downloadComputeLibrary-2d9de0a3fa6ad858e70040124f362799a962bb6a.tar.gz
COMPMID-1009 Support 4x4 output tile for Winograd Filter Transform on OpenCL.
Change-Id: I68c6453e0f192de659582404f109a89616b9fbb9 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124811 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'arm_compute/core/utils')
-rw-r--r--arm_compute/core/utils/misc/ShapeCalculator.h16
1 files changed, 5 insertions, 11 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index 5344ce7e74..383fc6cda6 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -196,23 +196,17 @@ inline TensorShape compute_fully_connected_reshaped_weights_shape(const ITensorI
return output_shape;
}
-inline TensorShape compute_winograd_filter_transform_shape(const ITensorInfo &input)
+inline TensorShape compute_winograd_filter_transform_shape(const ITensorInfo &input, const Size2D &output_tile)
{
- // COMPMID-984 (giaiod01)
TensorShape tensor_shape{ input.tensor_shape() };
+ tensor_shape.remove_dimension(get_data_layout_dimension_index(input.data_layout(), DataLayoutDimension::WIDTH));
+ tensor_shape.set(Window::DimY, input.dimension(2));
+ tensor_shape.set(Window::DimZ, (output_tile.width == 2) ? 16 : 36);
+
if(input.data_layout() == DataLayout::NCHW)
{
- tensor_shape.remove_dimension(0);
tensor_shape.set(Window::DimX, input.dimension(3));
- tensor_shape.set(Window::DimY, input.dimension(2));
- tensor_shape.set(Window::DimZ, 16);
- }
- else
- {
- tensor_shape.remove_dimension(1);
- tensor_shape.set(Window::DimY, input.dimension(2));
- tensor_shape.set(Window::DimZ, 16);
}
return tensor_shape;