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Diffstat (limited to 'tests/validation/fixtures/ScatterLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ScatterLayerFixture.h | 250 |
1 files changed, 250 insertions, 0 deletions
diff --git a/tests/validation/fixtures/ScatterLayerFixture.h b/tests/validation/fixtures/ScatterLayerFixture.h new file mode 100644 index 0000000000..35e6b647f3 --- /dev/null +++ b/tests/validation/fixtures/ScatterLayerFixture.h @@ -0,0 +1,250 @@ +/* + * Copyright (c) 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_SCATTERLAYERFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_SCATTERLAYERFIXTURE_H + +#include "arm_compute/core/Utils.h" +#include "arm_compute/runtime/CL/CLTensorAllocator.h" +#include "tests/Globals.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/Helpers.h" +#include "tests/validation/Validation.h" +#include "tests/validation/reference/ScatterLayer.h" +#include "tests/SimpleTensor.h" + +#include <random> +#include <cstdint> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ScatterGenericValidationFixture : public framework::Fixture +{ +public: + void setup(TensorShape src_shape, TensorShape updates_shape, TensorShape indices_shape, + TensorShape out_shape, DataType data_type, ScatterInfo scatter_info, bool inplace, + QuantizationInfo src_qinfo = QuantizationInfo(), QuantizationInfo o_qinfo = QuantizationInfo()) + { + // this is for improving randomness across tests + _hash = src_shape[0] + src_shape[1] + src_shape[2] + src_shape[3] + src_shape[4] + src_shape[5] + + updates_shape[0] + updates_shape[1] + updates_shape[2] + updates_shape[3] + + updates_shape[4] + updates_shape[5] + + indices_shape[0] + indices_shape[1] + indices_shape[2] + indices_shape[3]; + + _target = compute_target(src_shape, updates_shape, indices_shape, out_shape, data_type, scatter_info, inplace, src_qinfo, o_qinfo); + _reference = compute_reference(src_shape, updates_shape, indices_shape, out_shape, data_type,scatter_info, src_qinfo , o_qinfo); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + switch(tensor.data_type()) + { + case DataType::F32: + case DataType::F16: + { + std::uniform_real_distribution<float> distribution(-10.f, 10.f); + library->fill(tensor, distribution, i); + break; + } + case DataType::S32: + case DataType::S16: + case DataType::S8: + { + std::uniform_int_distribution<int32_t> distribution(-100, 100); + library->fill(tensor, distribution, i); + break; + } + case DataType::U32: + case DataType::U16: + case DataType::U8: + { + std::uniform_int_distribution<uint32_t> distribution(0, 200); + library->fill(tensor, distribution, i); + break; + } + default: + { + ARM_COMPUTE_ERROR("Unsupported data type."); + } + } + } + + // This is used to fill indices tensor with S32 datatype. + // Used to prevent ONLY having values that are out of bounds. + template <typename U> + void fill_indices(U &&tensor, int i, const TensorShape &shape) + { + // Calculate max indices the shape should contain. Add an arbitrary value to allow testing for some out of bounds values (In this case min dimension) + const int32_t max = std::max({shape[0] , shape[1], shape[2]}); + library->fill_tensor_uniform(tensor, i, static_cast<int32_t>(-2), static_cast<int32_t>(max)); + } + + TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, + const TensorShape &out_shape, DataType data_type, const ScatterInfo info, bool inplace, + QuantizationInfo a_qinfo, QuantizationInfo o_qinfo) + { + // 1. Create relevant tensors using ScatterInfo data structure. + // ---------------------------------------------------- + // In order - src, updates, indices, output. + TensorType src = create_tensor<TensorType>(shape_a, data_type, 1, a_qinfo); + TensorType updates = create_tensor<TensorType>(shape_b, data_type, 1, a_qinfo); + TensorType indices = create_tensor<TensorType>(shape_c, DataType::S32, 1, QuantizationInfo()); + TensorType dst = create_tensor<TensorType>(out_shape, data_type, 1, o_qinfo); + + FunctionType scatter; + + // Configure operator + // When scatter_info.zero_initialization is true, pass nullptr for src + // because dst does not need to be initialized with src values. + if(info.zero_initialization) + { + scatter.configure(nullptr, &updates, &indices, &dst, info); + } + else + { + if(inplace) + { + scatter.configure(&src, &updates, &indices, &src, info); + } + else + { + scatter.configure(&src, &updates, &indices, &dst, info); + } + } + + // Assertions + ARM_COMPUTE_ASSERT(src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(updates.info()->is_resizable()); + ARM_COMPUTE_ASSERT(indices.info()->is_resizable()); + ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); + + add_padding_x({ &src, &updates, &indices}); + + if(!inplace) + { + add_padding_x({ &dst }); + } + + // Allocate tensors + src.allocator()->allocate(); + updates.allocator()->allocate(); + indices.allocator()->allocate(); + + if(!inplace) + { + dst.allocator()->allocate(); + } + + ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!updates.info()->is_resizable()); + ARM_COMPUTE_ASSERT(!indices.info()->is_resizable()); + + if(!inplace) + { + ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); + } + + // Fill update (a) and indices (b) tensors. + fill(AccessorType(src), 0 + _hash); + fill(AccessorType(updates), 1+ _hash); + fill_indices(AccessorType(indices), 2 + _hash, out_shape); + + scatter.run(); + + if(inplace) + { + return src; + } + else + { + return dst; + } + } + + SimpleTensor<T> compute_reference(const TensorShape &a_shape, const TensorShape &b_shape, const TensorShape &c_shape, + const TensorShape &out_shape, DataType data_type, ScatterInfo info, QuantizationInfo a_qinfo, QuantizationInfo o_qinfo) + { + // Output Quantization not currently in use - fixture should be extended to support this. + ARM_COMPUTE_UNUSED(o_qinfo); + TensorShape src_shape = a_shape; + TensorShape updates_shape = b_shape; + TensorShape indices_shape = c_shape; + + // 1. Collapse batch index into a single dim if necessary for update tensor and indices tensor. + if(c_shape.num_dimensions() >= 3) + { + indices_shape = indices_shape.collapsed_from(1); + updates_shape = updates_shape.collapsed_from(updates_shape.num_dimensions() - 2); // Collapses from last 2 dims + } + + // 2. Collapse data dims into a single dim. + // Collapse all src dims into 2 dims. First one holding data, the other being the index we iterate over. + src_shape.collapse(updates_shape.num_dimensions() - 1); // Collapse all data dims into single dim. + src_shape = src_shape.collapsed_from(1); // Collapse all index dims into a single dim + updates_shape.collapse(updates_shape.num_dimensions() - 1); // Collapse data dims (all except last dim which is batch dim) + + // Create reference tensors + SimpleTensor<T> src{ a_shape, data_type, 1, a_qinfo }; + SimpleTensor<T> updates{b_shape, data_type, 1, QuantizationInfo() }; + SimpleTensor<int32_t> indices{ c_shape, DataType::S32, 1, QuantizationInfo() }; + + // Fill reference + fill(src, 0 + _hash); + fill(updates, 1 + _hash); + fill_indices(indices, 2 + _hash, out_shape); + + // Calculate individual reference. + return reference::scatter_layer<T>(src, updates, indices, out_shape, info); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + int32_t _hash{}; +}; + +// This fixture will use the same shape for updates as indices. +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ScatterValidationFixture : public ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + void setup(TensorShape src_shape, TensorShape update_shape, TensorShape indices_shape, + TensorShape out_shape, DataType data_type, ScatterFunction func, bool zero_init, bool inplace) + { + ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, update_shape, + indices_shape, out_shape, data_type, ScatterInfo(func, zero_init), inplace, + QuantizationInfo(), QuantizationInfo()); + } +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif // ACL_TESTS_VALIDATION_FIXTURES_SCATTERLAYERFIXTURE_H |