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Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h')
| -rw-r--r-- | tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h | 186 |
1 files changed, 186 insertions, 0 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h new file mode 100644 index 0000000000..08fffb305b --- /dev/null +++ b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h @@ -0,0 +1,186 @@ +/* + * Copyright (c) 2022-2024 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 ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE_H + +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h" +#include "arm_compute/dynamic_fusion/sketch/attributes/CastAttributes.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h" + +#include "tests/framework/Fixture.h" +#include "tests/validation/reference/DepthConvertLayer.h" + +using namespace arm_compute::experimental::dynamic_fusion; + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2> +class DynamicFusionCastValidationFixture : public framework::Fixture +{ +public: + void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy) + { + _target = compute_target(shape, dt_in, dt_out, policy); + _reference = compute_reference(shape, dt_in, dt_out, policy); + } + +protected: + template <typename U> + void fill(U &&tensor, int i, DataType dt_in, DataType dt_out) + { + // Restricting range to avoid inf values + if (dt_out == DataType::F16) + { + constexpr int signed_min = -32000; + constexpr int signed_max = 32000; + constexpr int unsigned_min = 0; + constexpr int unsigned_max = 65000; + + switch (dt_in) + { + case DataType::U8: + case DataType::QASYMM8: + case DataType::QASYMM8_SIGNED: + case DataType::S8: + case DataType::F32: + { + library->fill_tensor_uniform(tensor, i); + break; + } + case DataType::U16: + { + library->fill_tensor_uniform(tensor, i, static_cast<uint16_t>(unsigned_min), + static_cast<uint16_t>(unsigned_max)); + break; + } + case DataType::S16: + { + library->fill_tensor_uniform(tensor, i, static_cast<int16_t>(signed_min), + static_cast<int16_t>(signed_max)); + break; + } + case DataType::U32: + { + library->fill_tensor_uniform(tensor, i, static_cast<uint32_t>(unsigned_min), + static_cast<uint32_t>(unsigned_max)); + break; + } + case DataType::S32: + { + library->fill_tensor_uniform(tensor, i, static_cast<int32_t>(signed_min), + static_cast<int32_t>(signed_max)); + break; + } + default: + ARM_COMPUTE_ERROR("NOT SUPPORTED!"); + } + } + else + { + library->fill_tensor_uniform(tensor, i); + } + } + + // Given input is in nchw format + TensorType + compute_target(const TensorShape &shape, const DataType dt_in, const DataType dt_out, const ConvertPolicy policy) + { + // Create a new workload sketch + auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); + auto context = GpuWorkloadContext{&cl_compile_ctx}; + GpuWorkloadSketch sketch{&context}; + + // Create sketch tensors + // Here, we use DataLayout::NCHW just for the test. However, the optimal data layout to + // be used with dynamic fusion is NHWC + ITensorInfo *src_info = + context.create_tensor_info(TensorInfo(shape, 1, dt_in, DataLayout::NCHW)); // layout is not important + ITensorInfo *dst_info = context.create_tensor_info(); + + CastAttributes attributes; + attributes.convert_policy(policy).data_type(dt_out); + + ITensorInfo *ans_info = FunctionType::create_op(sketch, src_info, attributes); + GpuOutput::create_op(sketch, ans_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()) + { + CLTensor *tensor = std::get<0>(data); + TensorInfo info = std::get<1>(data); + AuxMemoryInfo aux_mem_req = std::get<2>(data); + tensor->allocator()->init(info, aux_mem_req.alignment); + tensor->allocator()->allocate(); // Use ACL allocated memory + } + + // Construct user tensors + TensorType t_src{}; + TensorType t_dst{}; + + // Initialize user tensors + t_src.allocator()->init(*src_info); + t_dst.allocator()->init(*dst_info); + + // Allocate and fill user tensors + t_src.allocator()->allocate(); + t_dst.allocator()->allocate(); + + fill(AccessorType(t_src), 0, dt_in, dt_out); + + // Run runtime + runtime.run({&t_src, &t_dst}); + return t_dst; + } + + SimpleTensor<T2> + compute_reference(const TensorShape &shape, const DataType dt_in, const DataType dt_out, const ConvertPolicy policy) + { + // Create reference + SimpleTensor<T1> src{shape, dt_in, 1}; + + // Fill reference + fill(src, 0, dt_in, dt_out); + + return reference::depth_convert<T1, T2>(src, dt_out, policy, 0); + } + + TensorType _target{}; + SimpleTensor<T2> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE_H |