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-rw-r--r--tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h132
1 files changed, 72 insertions, 60 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h
index c44f0371d0..711767b66f 100644
--- a/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h
+++ b/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h
@@ -1,5 +1,5 @@
/*
-* Copyright (c) 2022-2023 Arm Limited.
+* Copyright (c) 2022-2024 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -21,8 +21,8 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
-#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESIZEFIXTURE
-#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESIZEFIXTURE
+#ifndef ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESIZEFIXTURE_H
+#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESIZEFIXTURE_H
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/TensorInfo.h"
@@ -33,12 +33,12 @@
#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h"
#include "tests/CL/CLAccessor.h"
-#include "tests/SimpleTensor.h"
#include "tests/framework/Fixture.h"
#include "tests/framework/Macros.h"
-#include "tests/validation/Validation.h"
+#include "tests/SimpleTensor.h"
#include "tests/validation/reference/Permute.h"
#include "tests/validation/reference/Scale.h"
+#include "tests/validation/Validation.h"
using namespace arm_compute::experimental::dynamic_fusion;
@@ -52,9 +52,14 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
class DynamicFusionResizeGenericValidationFixture : public framework::Fixture
{
public:
- void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, DataLayout data_layout,
- InterpolationPolicy interpolation_policy, SamplingPolicy sampling_policy,
- bool align_corners, QuantizationInfo output_quantization_info)
+ void setup(TensorShape shape,
+ DataType data_type,
+ QuantizationInfo quantization_info,
+ DataLayout data_layout,
+ InterpolationPolicy interpolation_policy,
+ SamplingPolicy sampling_policy,
+ bool align_corners,
+ QuantizationInfo output_quantization_info)
{
_shape = shape;
_interpolation_policy = interpolation_policy;
@@ -79,13 +84,13 @@ public:
protected:
void generate_scale(const TensorShape &shape)
{
- static constexpr float _min_scale{ 0.25f };
- static constexpr float _max_scale{ 3.f };
+ static constexpr float _min_scale{0.25f};
+ static constexpr float _max_scale{3.f};
- constexpr float max_width{ 8192.0f };
- constexpr float max_height{ 6384.0f };
- constexpr float min_width{ 1.f };
- constexpr float min_height{ 1.f };
+ constexpr float max_width{8192.0f};
+ constexpr float max_height{6384.0f};
+ constexpr float min_width{1.f};
+ constexpr float min_height{1.f};
std::mt19937 generator(library->seed());
std::uniform_real_distribution<float> distribution_float(_min_scale, _max_scale);
@@ -93,7 +98,8 @@ protected:
auto generate = [&](size_t input_size, float min_output, float max_output) -> int
{
const float generated_scale = distribution_float(generator);
- const int output_size = static_cast<int>(utility::clamp(static_cast<float>(input_size) * generated_scale, min_output, max_output));
+ const int output_size = static_cast<int>(
+ utility::clamp(static_cast<float>(input_size) * generated_scale, min_output, max_output));
return output_size;
};
@@ -108,17 +114,17 @@ protected:
template <typename U>
void fill(U &&tensor)
{
- if(tensor.data_type() == DataType::F32)
+ if (tensor.data_type() == DataType::F32)
{
std::uniform_real_distribution<float> distribution(-5.0f, 5.0f);
library->fill(tensor, distribution, 0);
}
- else if(tensor.data_type() == DataType::F16)
+ else if (tensor.data_type() == DataType::F16)
{
- arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -5.0f, 5.0f };
+ arm_compute::utils::uniform_real_distribution_16bit<half> distribution{-5.0f, 5.0f};
library->fill(tensor, distribution, 0);
}
- else if(is_data_type_quantized(tensor.data_type()))
+ else if (is_data_type_quantized(tensor.data_type()))
{
std::uniform_int_distribution<> distribution(0, 100);
library->fill(tensor, distribution, 0);
@@ -136,26 +142,30 @@ protected:
// Create a new workload sketch
CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
- GpuWorkloadContext context = GpuWorkloadContext{ &cl_compile_ctx };
- GpuWorkloadSketch sketch{ &context };
+ GpuWorkloadContext context = GpuWorkloadContext{&cl_compile_ctx};
+ GpuWorkloadSketch sketch{&context};
// Create sketch tensors
- TensorInfo src_info = context.create_tensor_info(TensorInfo(shape, 1, _data_type, _data_layout));
- src_info.set_quantization_info(_input_quantization_info);
- TensorInfo dst_info = context.create_tensor_info();
+ ITensorInfo *src_info = context.create_tensor_info(TensorInfo(shape, 1, _data_type, _data_layout));
+ src_info->set_quantization_info(_input_quantization_info);
+ ITensorInfo *dst_info = context.create_tensor_info();
ResizeAttributes attributes;
- attributes.align_corners(_align_corners).sampling_policy(_sampling_policy).interpolation_policy(_interpolation_policy).output_width(_output_width).output_height(_output_height);
+ attributes.align_corners(_align_corners)
+ .sampling_policy(_sampling_policy)
+ .interpolation_policy(_interpolation_policy)
+ .output_width(_output_width)
+ .output_height(_output_height);
- ITensorInfo *scale_result_info = FunctionType::create_op(sketch, &src_info, attributes);
- GpuOutput::create_op(sketch, scale_result_info, &dst_info);
+ ITensorInfo *scale_result_info = FunctionType::create_op(sketch, src_info, attributes);
+ GpuOutput::create_op(sketch, scale_result_info, dst_info);
// Configure runtime
ClWorkloadRuntime runtime;
runtime.configure(sketch);
// (Important) Allocate auxiliary tensor memory if there are any
- for(auto &data : runtime.get_auxiliary_tensors())
+ for (auto &data : runtime.get_auxiliary_tensors())
{
CLTensor *tensor = std::get<0>(data);
TensorInfo info = std::get<1>(data);
@@ -169,8 +179,8 @@ protected:
TensorType t_dst{};
// Initialize user tensors
- t_src.allocator()->init(src_info);
- t_dst.allocator()->init(dst_info);
+ t_src.allocator()->init(*src_info);
+ t_dst.allocator()->init(*dst_info);
// Allocate and fill user tensors
t_src.allocator()->allocate();
@@ -179,7 +189,7 @@ protected:
fill(AccessorType(t_src));
// Run runtime
- runtime.run({ &t_src, &t_dst });
+ runtime.run({&t_src, &t_dst});
return t_dst;
}
@@ -187,7 +197,7 @@ protected:
SimpleTensor<T> compute_reference(const TensorShape &shape)
{
// Create reference
- SimpleTensor<T> src{ shape, _data_type, 1, _input_quantization_info };
+ SimpleTensor<T> src{shape, _data_type, 1, _input_quantization_info};
// Reference code is NCHW, so the input shapes are NCHW
const int idx_width = get_data_layout_dimension_index(DataLayout::NCHW, DataLayoutDimension::WIDTH);
@@ -199,9 +209,9 @@ protected:
// Fill reference
fill(src);
- return reference::scale<T>(src, scale_x, scale_y, _interpolation_policy,
- BorderMode::REPLICATE, static_cast<T>(0), _sampling_policy, /* ceil_policy_scale */ false,
- _align_corners, _output_quantization_info);
+ return reference::scale<T>(src, scale_x, scale_y, _interpolation_policy, BorderMode::REPLICATE,
+ static_cast<T>(0), _sampling_policy, /* ceil_policy_scale */ false, _align_corners,
+ _output_quantization_info);
}
TensorType _target{};
@@ -213,43 +223,45 @@ protected:
DataLayout _data_layout{};
QuantizationInfo _input_quantization_info{};
QuantizationInfo _output_quantization_info{};
- bool _align_corners{ false };
- int _output_width{ 0 };
- int _output_height{ 0 };
+ bool _align_corners{false};
+ int _output_width{0};
+ int _output_height{0};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class DynamicFusionResizeValidationFixture : public DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>
+class DynamicFusionResizeValidationFixture
+ : public DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>
{
public:
- void setup(TensorShape shape, DataType data_type, DataLayout data_layout, InterpolationPolicy policy, SamplingPolicy sampling_policy, bool align_corners)
+ void setup(TensorShape shape,
+ DataType data_type,
+ DataLayout data_layout,
+ InterpolationPolicy policy,
+ SamplingPolicy sampling_policy,
+ bool align_corners)
{
- DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape,
- data_type,
- QuantizationInfo(),
- data_layout,
- policy,
- sampling_policy,
- align_corners,
- QuantizationInfo());
+ DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(
+ shape, data_type, QuantizationInfo(), data_layout, policy, sampling_policy, align_corners,
+ QuantizationInfo());
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool mixed_layout = false>
-class DynamicFusionResizeQuantizedValidationFixture : public DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>
+class DynamicFusionResizeQuantizedValidationFixture
+ : public DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>
{
public:
- void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, DataLayout data_layout, InterpolationPolicy policy, SamplingPolicy sampling_policy,
- bool align_corners)
+ void setup(TensorShape shape,
+ DataType data_type,
+ QuantizationInfo quantization_info,
+ DataLayout data_layout,
+ InterpolationPolicy policy,
+ SamplingPolicy sampling_policy,
+ bool align_corners)
{
- DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape,
- data_type,
- quantization_info,
- data_layout,
- policy,
- sampling_policy,
- align_corners,
- quantization_info);
+ DynamicFusionResizeGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(
+ shape, data_type, quantization_info, data_layout, policy, sampling_policy, align_corners,
+ quantization_info);
}
};
@@ -257,4 +269,4 @@ public:
} // namespace test
} // namespace arm_compute
-#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESIZEFIXTURE */
+#endif // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_RESIZEFIXTURE_H
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-19 06:15:09 +0000