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author | Gunes Bayir <gunes.bayir@arm.com> | 2024-01-17 16:07:03 +0000 |
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committer | Viet-Hoa Do <viet-hoa.do@arm.com> | 2024-02-01 16:00:34 +0000 |
commit | 2b9fa593a0a172bf36a02b5cdb840c6b9b361d7c (patch) | |
tree | a4e2d5ce46443a79a0778e4960462ce3edf106ec /tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h | |
parent | 7ab7fca87cca8775f82b0e9efec6a40975910c17 (diff) | |
download | ComputeLibrary-2b9fa593a0a172bf36a02b5cdb840c6b9b361d7c.tar.gz |
Use the stable CKW API in the GPU dynamic fusion backend
- Refactor all kernels to work with the CKW stable API
- Add support for sub-tile in the op_load/op_store CKW operator
- Fix mismatch in resize
- Add comments in all kernels written with CKW to help developers
understand the structure of the code
- Add texture image support in depthwise convolution written with CKW
- Add support for different block sizes in depthwise convolution
- Remove the use of the dynamic fusion helper functions.
- Add support for floor in the op_unary() of CKW
Resolves: COMPMID-6708, COMPMID-6743, COMPMID-6530
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Change-Id: I8104ce4d04a3138a1aeb0b84940e1f1c89e76069
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10914
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h')
-rw-r--r-- | tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h | 41 |
1 files changed, 8 insertions, 33 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h index dd3519b549..b0c7143d91 100644 --- a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h @@ -51,11 +51,11 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionGpuPool2dValidationGenericFixture : public framework::Fixture { public: - void setup(TensorShape input_shape, const Pool2dAttributes &pool_attr, DataType data_type, bool mixed_precision) + void setup(TensorShape input_shape, const Pool2dAttributes &pool_attr, DataType data_type) { - _target = compute_target(input_shape, pool_attr, data_type, mixed_precision); - _reference = - compute_reference(input_shape, convert_pool_attr_to_pool_info(pool_attr, mixed_precision), data_type); + _target = compute_target(input_shape, pool_attr, data_type); + _reference = compute_reference( + input_shape, convert_pool_attr_to_pool_info(pool_attr, true /* mixed_precision */), data_type); } protected: @@ -82,10 +82,7 @@ protected: } // Given input is in nchw format - TensorType compute_target(TensorShape input_shape, - const Pool2dAttributes &pool_attr, - const DataType data_type, - bool mixed_precision) + TensorType compute_target(TensorShape input_shape, const Pool2dAttributes &pool_attr, const DataType data_type) { CLScheduler::get().default_reinit(); @@ -102,7 +99,7 @@ protected: auto dst_info = context.create_tensor_info(); // Create Pool2dSettings - GpuPool2dSettings pool_settings = GpuPool2dSettings().mixed_precision(mixed_precision); + GpuPool2dSettings pool_settings = GpuPool2dSettings(); ITensorInfo *ans_info = FunctionType::create_op(sketch, input_info, pool_attr, pool_settings); GpuOutput::create_op(sketch, ans_info, dst_info); @@ -168,29 +165,7 @@ public: input_shape, Pool2dAttributes().pool_type(pool_type).pool_size(pool_size).pad(pad).stride(stride).exclude_padding( exclude_padding), - data_type, false); - } -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionGpuPool2dMixedPrecisionValidationFixture - : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - void setup(TensorShape input_shape, - PoolingType pool_type, - Size2D pool_size, - Padding2D pad, - Size2D stride, - bool exclude_padding, - DataType data_type, - bool mixed_precision) - { - DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup( - input_shape, - Pool2dAttributes().pool_type(pool_type).pool_size(pool_size).pad(pad).stride(stride).exclude_padding( - exclude_padding), - data_type, mixed_precision); + data_type); } }; @@ -202,7 +177,7 @@ public: void setup(TensorShape input_shape, Pool2dAttributes pool_attr, DataType data_type) { DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup( - input_shape, pool_attr, data_type, false); + input_shape, pool_attr, data_type); } }; |