diff options
author | Ramy Elgammal <ramelg01@e129512.arm.com> | 2023-01-11 18:48:04 +0000 |
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committer | Ramy Elgammal <ramy.elgammal@arm.com> | 2023-01-25 10:24:23 +0000 |
commit | 002e6530f6218b00a28aef9be8b21efb08cf3602 (patch) | |
tree | f3e2f9d064b985ffe283512825b34cdd59f29f50 /tests/validation/fixtures/dynamic_fusion/operators | |
parent | cc2877368d5e15d9ea89d31c84ec651fc0fffd13 (diff) | |
download | ComputeLibrary-002e6530f6218b00a28aef9be8b21efb08cf3602.tar.gz |
Implement dynamic fusion softmax operator
- Return aux tensorInfo by get_aux_tensors() at runtime to init the aux
tensor with the right size.
- Keep softmax unfusable for this commit
- Hence, added Tensor3D to template writer arguments declaration, for sake of
keeping dynamic fusion softmax componenets' kernels matching their cl
counterparts.
Resolves: COMPMID-5523
Change-Id: I667f39545db925f667036ef448302c79a0330373
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/483924
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: bsgcomp <bsgcomp@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8986
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/operators')
4 files changed, 175 insertions, 11 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h index bd999027b3..cd39ec0a06 100644 --- a/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/operators/CastFixture.h @@ -132,10 +132,11 @@ protected: // (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(); + 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 diff --git a/tests/validation/fixtures/dynamic_fusion/operators/ReshapeFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/ReshapeFixture.h index 0d3b1f0296..e0b62d093f 100644 --- a/tests/validation/fixtures/dynamic_fusion/operators/ReshapeFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/operators/ReshapeFixture.h @@ -90,9 +90,10 @@ protected: // (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); + 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 } diff --git a/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h index 7eb820e0eb..581a3e8947 100644 --- a/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/operators/ResizeFixture.h @@ -158,10 +158,11 @@ protected: // (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(); + 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 diff --git a/tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h new file mode 100644 index 0000000000..38177114e6 --- /dev/null +++ b/tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h @@ -0,0 +1,161 @@ +/* +* 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_OPERATORS_SOFTMAXFIXTURE +#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE + +#include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h" +#include "arm_compute/dynamic_fusion/sketch/attributes/SoftmaxAttributes.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" + +#include "tests/SimpleTensor.h" +#include "tests/framework/Fixture.h" +#include "tests/framework/Macros.h" +#include "tests/validation/Validation.h" +#include "tests/validation/reference/SoftmaxLayer.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 DynamicFusionSoftmaxValidationGenericFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type, float beta, size_t axis, bool is_log) + { + _reference = compute_reference(shape, data_type, beta, axis, is_log); + _target = compute_target(shape, data_type, beta, axis, is_log); + } + +protected: + template <typename U> + void fill(U &&tensor) + { + if(tensor.data_type() == DataType::F32) + { + std::uniform_real_distribution<float> distribution(-10.0f, 10.0f); + library->fill(tensor, distribution, 0); + } + else if(tensor.data_type() == DataType::F16) + { + arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -10.0f, 10.0f }; + library->fill(tensor, distribution, 0); + } + else if(!is_data_type_quantized(tensor.data_type())) + { + std::uniform_int_distribution<> distribution(0, 100); + library->fill(tensor, distribution, 0); + } + else + { + library->fill_tensor_uniform(tensor, 0); + } + } + + TensorType compute_target(const TensorShape &shape, DataType data_type, float beta, int32_t axis, bool is_log) + { + // Create a new workload sketch + CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); + GpuWorkloadContext gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx }; + GpuWorkloadSketch sketch{ &gpu_ctx }; + + SoftmaxAttributes softmax_attr{}; + softmax_attr.axis(axis).beta(beta).is_log_softmax(is_log); + TensorInfo src_info = sketch.create_tensor_info(shape, 1, data_type); + TensorInfo dst_info = sketch.create_tensor_info(shape, 1, data_type); + FunctionType::create_op(sketch, &src_info, &dst_info, softmax_attr); + + // Configure runtime + ClWorkloadRuntime runtime; + runtime.configure(sketch); + + // (Important) Allocate auxiliary tensor memory if there are any + // Instead of using ACL allocated memory, the user can choose to import memory into the tensors + 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 src{}; + TensorType dst{}; + + // Initialize user tensors + src.allocator()->init(src_info); + dst.allocator()->init(dst_info); + + // Allocate and fill user tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + fill(AccessorType(src)); + + // Run runtime + runtime.run({ &src, &dst }); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, float beta, int32_t axis, bool is_log) + { + // Create reference + SimpleTensor<T> src{ shape, data_type, 1 }; + + // Fill reference + fill(src); + + return reference::softmax_layer<T>(src, beta, axis, is_log); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DynamicFusionSoftmaxValidationFixture : public DynamicFusionSoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type, float beta, size_t axis, bool is_log) + { + DynamicFusionSoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, + data_type, + beta, + axis, + is_log); + } +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute + +#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE */ |