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-rw-r--r--tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp233
-rw-r--r--tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h190
-rw-r--r--tests/validation/reference/PoolingLayer.cpp3
3 files changed, 424 insertions, 2 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp b/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp
new file mode 100644
index 0000000000..a7772aef4d
--- /dev/null
+++ b/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp
@@ -0,0 +1,233 @@
+/*
+ * Copyright (c) 2023 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+
+#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h"
+
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/datasets/dynamic_fusion/PoolingLayerDataset.h"
+#include "tests/framework/Fixture.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(DYNAMIC_FUSION)
+TEST_SUITE(POOL2D)
+
+constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */
+constexpr AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */
+
+const auto PoolingLayerDatasetFP = combine(combine(combine(combine(framework::dataset::make("PoolingType", { PoolingType::MAX, PoolingType::AVG }), framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })),
+ framework::dataset::make("Pad", { Padding2D() })),
+ framework::dataset::make("Stride", { Size2D(1, 1), Size2D(2, 1), Size2D(5, 7) })),
+ framework::dataset::make("ExcludePadding", { true }));
+
+const auto pool_fp_mixed_precision_dataset = framework::dataset::make("FpMixedPrecision", { true, false });
+
+template <typename T>
+using DynamicFusionGpuPool2dFixture = DynamicFusionGpuPool2dValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>;
+
+template <typename T>
+using DFSpecialGpuPool2dFixture = DynamicFusionGpuPool2dSpecialValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>;
+
+template <typename T>
+using DFPoolMixedPrecisionFixture = DynamicFusionGpuPool2dMixedPrecisionValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>;
+// *INDENT-OFF*
+// clang-format off
+
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid pad/size combination
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid pad/size combination
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Invalid parameters, unsupported pooling
+ TensorInfo(TensorShape(5U, 15U, 13U), 1, DataType::F32, DataLayout::NHWC), // Valid Non-rectangular Global Pooling
+ TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::F32, DataLayout::NHWC), // Invalid output Global Pooling
+ TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Invalid - Quantized not supported.
+ TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::F32, DataLayout::NHWC), // Valid global pooling
+ TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout
+ }),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(2U, 25U, 11U), 1, DataType::F16, DataLayout::NHWC),
+ TensorInfo(TensorShape(2U, 30U, 11U), 1, DataType::F32, DataLayout::NHWC),
+ TensorInfo(TensorShape(2U, 25U, 16U), 1, DataType::F32, DataLayout::NHWC),
+ TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC),
+ TensorInfo(TensorShape(5U, 1U, 1U), 1, DataType::F32, DataLayout::NHWC),
+ TensorInfo(TensorShape(5U, 2U, 2U), 1, DataType::F32, DataLayout::NHWC),
+ TensorInfo(TensorShape(5U, 12U, 12U), 1, DataType::QASYMM8, DataLayout::NHWC),
+ TensorInfo(TensorShape(5U, 1U, 1U), 1, DataType::F32, DataLayout::NHWC),
+ TensorInfo(TensorShape(1U, 1U, 5U), 1, DataType::F32, DataLayout::NHWC),
+ })),
+ framework::dataset::make("Pool2dAttributes", {
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(3,3)).pad(Padding2D(0,0,0,0)).stride(Size2D(1,1)),
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D(2,2,0,0)).stride(Size2D(1,1)),
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D(0,0,2,2)).stride(Size2D(1,1)),
+ Pool2dAttributes().pool_type(PoolingType::L2).pool_size(Size2D(3,3)).pad(Padding2D(0,0,0,0)).stride(Size2D(1,1)),
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(15U, 13U)),
+ Pool2dAttributes().pool_type(PoolingType::MAX).pool_size(Size2D(13U, 13U)),
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D()).stride(Size2D(1,1)),
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(13U,13U)),
+ Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(13U,13U)),
+ })),
+ framework::dataset::make("Expected", { false, false, false, false, true, false, false, true, false })),
+ input_info, output_info, pool2d_attr, expected)
+{
+ // Create a new workload sketch
+ auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
+ auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
+ GpuWorkloadSketch sketch{ &gpu_ctx };
+
+ // Declare GpuPool2d settings
+ const GpuPool2dSettings &settings = GpuPool2dSettings().mixed_precision(false);
+
+ // Validate Pool2d Configuration
+ auto src_info = sketch.create_tensor_info(input_info);
+ auto dst_info = sketch.create_tensor_info(output_info);
+ bool res = bool(GpuPool2d::validate_op(sketch, &src_info, &dst_info, pool2d_attr, settings));
+ ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
+}
+
+// clang-format on
+// *INDENT-ON*
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), PoolingLayerDatasetFP),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), PoolingLayerDatasetFP),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+FIXTURE_DATA_TEST_CASE(RunSpecial, DFSpecialGpuPool2dFixture<float>, framework::DatasetMode::ALL, combine(datasets::PoolingLayerDatasetSpecialDynamicFusion(),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+
+TEST_SUITE(GlobalPooling)
+FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(
+ framework::dataset::make("InputShape", { TensorShape(27U, 13U, 2U),
+ TensorShape(27U, 13U, 2U, 4U)
+ }),
+ framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })),
+ framework::dataset::make("PoolingSize", { Size2D(27, 13) })),
+ framework::dataset::make("Pad", { Padding2D() })),
+ framework::dataset::make("Stride", { Size2D(1, 1) })),
+ framework::dataset::make("ExcludePadding", true)),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(combine(combine(combine(
+ framework::dataset::make("InputShape", { TensorShape(79U, 37U, 11U),
+ TensorShape(79U, 37U, 11U, 4U)
+ }),
+ framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })),
+ framework::dataset::make("PoolingSize", { Size2D(79, 37) })),
+ framework::dataset::make("Pad", { Padding2D() })),
+ framework::dataset::make("Stride", { Size2D(1, 1) })),
+ framework::dataset::make("ExcludePadding", true)),
+ framework::dataset::make("DataType", DataType::F32)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END() // GlobalPooling
+TEST_SUITE_END() // FP32
+
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, DFPoolMixedPrecisionFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallNoneUnitShapes(), PoolingLayerDatasetFP),
+ framework::dataset::make("DataType", DataType::F16)),
+ pool_fp_mixed_precision_dataset))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, DFPoolMixedPrecisionFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), PoolingLayerDatasetFP),
+ framework::dataset::make("DataType", DataType::F16)),
+ pool_fp_mixed_precision_dataset))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+
+TEST_SUITE(GlobalPooling)
+FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture<half>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(
+ framework::dataset::make("InputShape", { TensorShape(27U, 13U, 2U),
+ TensorShape(27U, 13U, 2U, 4U)
+ }),
+ framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })),
+ framework::dataset::make("PoolingSize", { Size2D(27, 13) })),
+ framework::dataset::make("Pad", { Padding2D() })),
+ framework::dataset::make("Stride", { Size2D(1, 1) })),
+ framework::dataset::make("ExcludePadding", true)),
+ framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture<half>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(combine(combine(combine(
+ framework::dataset::make("InputShape", { TensorShape(79U, 37U, 11U),
+ TensorShape(79U, 37U, 11U, 4U)
+ }),
+ framework::dataset::make("PoolingType", { PoolingType::AVG, PoolingType::MAX })),
+ framework::dataset::make("PoolingSize", { Size2D(79, 37) })),
+ framework::dataset::make("Pad", { Padding2D() })),
+ framework::dataset::make("Stride", { Size2D(1, 1) })),
+ framework::dataset::make("ExcludePadding", true)),
+ framework::dataset::make("DataType", DataType::F16)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END() // GlobalPooling
+TEST_SUITE_END() // FP16
+TEST_SUITE_END() // FLOAT
+
+TEST_SUITE_END() // POOL2D
+TEST_SUITE_END() // DYNAMIC_FUSION
+TEST_SUITE_END() // CL
+}
+}
+}
diff --git a/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h
new file mode 100644
index 0000000000..efb67f8b11
--- /dev/null
+++ b/tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h
@@ -0,0 +1,190 @@
+/*
+ * Copyright (c) 2023 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE
+#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE
+
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+#include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h"
+#include "arm_compute/dynamic_fusion/sketch/attributes/Pool2dAttributes.h"
+#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h"
+#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h"
+#include "src/dynamic_fusion/utils/Utils.h"
+
+#include "tests/CL/CLAccessor.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/reference/PoolingLayer.h"
+
+using namespace arm_compute::experimental::dynamic_fusion;
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DynamicFusionGpuPool2dValidationGenericFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape input_shape, const Pool2dAttributes &pool_attr, DataType data_type, bool mixed_precision)
+ {
+ _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);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor, int i)
+ {
+ switch(tensor.data_type())
+ {
+ case DataType::F16:
+ {
+ arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
+ library->fill(tensor, distribution, i);
+ break;
+ }
+ case DataType::F32:
+ {
+ std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
+ library->fill(tensor, distribution, i);
+ break;
+ }
+ default:
+ library->fill_tensor_uniform(tensor, i);
+ }
+ }
+
+ // Given input is in nchw format
+ TensorType compute_target(TensorShape input_shape, const Pool2dAttributes &pool_attr, const DataType data_type, bool mixed_precision)
+ {
+ CLScheduler::get().default_reinit();
+
+ // Change shape due to NHWC data layout, test shapes are NCHW
+ permute(input_shape, PermutationVector(2U, 0U, 1U));
+
+ // Create a new workload sketch
+ auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
+ auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
+ GpuWorkloadSketch sketch{ &gpu_ctx };
+
+ // Create sketch tensors
+ auto input_info = sketch.create_tensor_info(TensorInfo(input_shape, 1, data_type, DataLayout::NHWC));
+ auto dst_info = sketch.create_tensor_info();
+
+ // Create Pool2dSettings
+ GpuPool2dSettings pool_settings = GpuPool2dSettings().mixed_precision(mixed_precision);
+
+ FunctionType::create_op(sketch, &input_info, &dst_info, pool_attr, pool_settings);
+
+ // Configure runtime
+ ClWorkloadRuntime runtime;
+ runtime.configure(sketch);
+ // (Important) Allocate auxiliary tensor memory if there are any
+ for(auto &data : runtime.get_auxiliary_tensors())
+ {
+ auto tensor = data.first;
+ const auto aux_mem_req = data.second;
+ tensor->allocator()->init(*data.first->info(), aux_mem_req.alignment);
+ tensor->allocator()->allocate(); // Use ACL allocated memory
+ }
+ // Construct user tensors
+ TensorType t_input{};
+ TensorType t_dst{};
+
+ // Initialize user tensors
+ t_input.allocator()->init(input_info);
+ t_dst.allocator()->init(dst_info);
+
+ // Allocate and fill user tensors
+ t_input.allocator()->allocate();
+ t_dst.allocator()->allocate();
+
+ fill(AccessorType(t_input), 0);
+
+ // Run runtime
+ runtime.run({ &t_input, &t_dst });
+ return t_dst;
+ }
+
+ SimpleTensor<T> compute_reference(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type)
+ {
+ // Create reference
+ SimpleTensor<T> src(shape, data_type, 1, QuantizationInfo());
+ // Fill reference
+ fill(src, 0);
+ return reference::pooling_layer<T>(src, pool_info, QuantizationInfo(), nullptr, DataLayout::NCHW);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DynamicFusionGpuPool2dValidationFixture : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ template <typename...>
+ void setup(TensorShape input_shape, PoolingType pool_type, Size2D pool_size, Padding2D pad, Size2D stride, bool exclude_padding, DataType data_type)
+ {
+ 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, false);
+ }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DynamicFusionGpuPool2dMixedPrecisionValidationFixture : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ template <typename...>
+ 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);
+ }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DynamicFusionGpuPool2dSpecialValidationFixture : public DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+ template <typename...>
+ void setup(TensorShape input_shape, Pool2dAttributes pool_attr, DataType data_type)
+ {
+ DynamicFusionGpuPool2dValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, pool_attr, data_type, false);
+ }
+};
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+
+#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_GPU_CL_POOL2DFIXTURE */
diff --git a/tests/validation/reference/PoolingLayer.cpp b/tests/validation/reference/PoolingLayer.cpp
index 9e671e3173..378d91d829 100644
--- a/tests/validation/reference/PoolingLayer.cpp
+++ b/tests/validation/reference/PoolingLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2021 Arm Limited.
+ * Copyright (c) 2017-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -40,7 +40,6 @@ using namespace arm_compute::misc::shape_calculator;
template <typename T, typename ACC_T, typename std::enable_if<is_floating_point<T>::value, int>::type>
SimpleTensor<T> pooling_layer_internal(const SimpleTensor<T> &src, const PoolingLayerInfo &info, SimpleTensor<uint32_t> *indices, DataLayout data_layout)
{
- ARM_COMPUTE_ERROR_ON(info.is_global_pooling && (src.shape().x() != src.shape().y()));
// Create reference
SimpleTensor<T> dst{ compute_pool_shape(TensorInfo(src.shape(), 1, src.data_type()), info), src.data_type(), 1 };
auto pooled_shape = compute_pool_shape(TensorInfo(src.shape(), 1, src.data_type()), info);
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-26 04:52:58 +0000