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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-03-15 17:58:20 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | 2d9de0a3fa6ad858e70040124f362799a962bb6a (patch) | |
tree | 0a055c5100438a929b3b04945821665d2fef8751 /tests/validation/fixtures/WinogradLayerFixture.h | |
parent | ed99f411d52949720a4d64d91664cd71e46b79d5 (diff) | |
download | ComputeLibrary-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 'tests/validation/fixtures/WinogradLayerFixture.h')
-rw-r--r-- | tests/validation/fixtures/WinogradLayerFixture.h | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/tests/validation/fixtures/WinogradLayerFixture.h b/tests/validation/fixtures/WinogradLayerFixture.h index 9811c28008..c427f8d20e 100644 --- a/tests/validation/fixtures/WinogradLayerFixture.h +++ b/tests/validation/fixtures/WinogradLayerFixture.h @@ -225,12 +225,12 @@ class WinogradFilterTransformValidationFixture : public framework::Fixture { public: template <typename...> - void setup(TensorShape input_shape, bool is_nchw_format, DataType data_type) + void setup(TensorShape input_shape, bool is_nchw_format, Size2D output_tile, DataType data_type) { - TensorShape output_shape = compute_winograd_filter_transform_shape(TensorInfo(input_shape, 1, data_type)); + TensorShape output_shape = compute_winograd_filter_transform_shape(TensorInfo(input_shape, 1, data_type), output_tile); - _target = compute_target(input_shape, output_shape, is_nchw_format, data_type); - _reference = compute_reference(input_shape, output_shape, is_nchw_format, data_type); + _target = compute_target(input_shape, output_shape, is_nchw_format, output_tile, data_type); + _reference = compute_reference(input_shape, output_shape, is_nchw_format, output_tile, data_type); } protected: @@ -254,7 +254,7 @@ protected: } } - TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, bool is_nchw_format, DataType data_type) + TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, bool is_nchw_format, const Size2D &output_tile, DataType data_type) { ARM_COMPUTE_UNUSED(is_nchw_format); @@ -264,7 +264,7 @@ protected: // Create and configure function FunctionType filter_transform; - filter_transform.configure(&src, &dst); + filter_transform.configure(&src, &dst, output_tile); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); @@ -284,7 +284,7 @@ protected: return dst; } - SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, bool is_nchw_format, DataType data_type) + SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, bool is_nchw_format, const Size2D &output_tile, DataType data_type) { ARM_COMPUTE_UNUSED(is_nchw_format); @@ -294,7 +294,7 @@ protected: // Fill reference fill(src, 0, -1.f, 1.f); - return reference::winograd_filter_transform<T>(src, output_shape); + return reference::winograd_filter_transform<T>(src, output_shape, output_tile); } TensorType _target{}; |