From 1dc6ff1749ae8e9fbf0b99308d6ebb65be10cc76 Mon Sep 17 00:00:00 2001 From: Gunes Bayir Date: Tue, 6 Dec 2022 20:48:31 +0000 Subject: Implement Cast operator in dynamic fusion The operator is migrated into dynamic fusion for all data types supported Resolves: COMPMID-5693 Change-Id: I3c550d3d1cd04570f453beae678c3f60d4cb1a73 Signed-off-by: Gunes Bayir Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8755 Tested-by: Arm Jenkins Reviewed-by: Gian Marco Iodice Comments-Addressed: Arm Jenkins Benchmark: Arm Jenkins --- .../dynamic_fusion/operators/CastFixture.h | 175 +++++++++++++++++++++ 1 file changed, 175 insertions(+) create mode 100644 tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h (limited to 'tests/validation/fixtures/dynamic_fusion/operators') 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..8553472fb9 --- /dev/null +++ b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h @@ -0,0 +1,175 @@ +/* + * Copyright (c) 2022 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_OPERATORS_CASTFIXTURE +#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE + +#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 "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 +class DynamicFusionCastValidationFixture : public framework::Fixture +{ +public: + template + 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 + 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(unsigned_min), static_cast(unsigned_max)); + break; + } + case DataType::S16: + { + library->fill_tensor_uniform(tensor, i, static_cast(signed_min), static_cast(signed_max)); + break; + } + case DataType::U32: + { + library->fill_tensor_uniform(tensor, i, static_cast(unsigned_min), static_cast(unsigned_max)); + break; + } + case DataType::S32: + { + library->fill_tensor_uniform(tensor, i, static_cast(signed_min), static_cast(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 gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx }; + GpuWorkloadSketch sketch{ &gpu_ctx }; + + // Create sketch tensors + TensorInfo src_info = sketch.create_tensor_info(TensorInfo(shape, 1, dt_in, DataLayout::NCHW)); // layout is not important + TensorInfo dst_info = sketch.create_tensor_info(); + + CastAttributes attributes; + attributes.convert_policy(policy).data_type(dt_out); + + FunctionType::create_op(sketch, &src_info, &dst_info, attributes); + + // 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(); + } + + // 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 compute_reference(const TensorShape &shape, const DataType dt_in, const DataType dt_out, const ConvertPolicy policy) + { + // Create reference + SimpleTensor src{ shape, dt_in, 1 }; + + // Fill reference + fill(src, 0, dt_in, dt_out); + + return reference::depth_convert(src, dt_out, policy, 0); + } + + TensorType _target{}; + SimpleTensor _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_CASTFIXTURE */ -- cgit v1.2.1