From ec00da149b7884114cd6c43cc9c1cff62ddaa710 Mon Sep 17 00:00:00 2001 From: Kurtis Charnock Date: Fri, 29 Nov 2019 11:42:30 +0000 Subject: COMPMID-2728: Add support for split sizes in CLSplit Signed-off-by: Kurtis Charnock Change-Id: I69ea9e812478904c3e10379bb5943d534c45f942 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/214132 Tested-by: bsgcomp Reviewed-by: Georgios Pinitas Reviewed-on: https://review.mlplatform.org/c/2432 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio --- arm_compute/runtime/CL/functions/CLSplit.h | 35 +---- arm_compute/runtime/CPP/CPPFunctions.h | 3 +- arm_compute/runtime/CPP/functions/CPPSplit.h | 197 +++++++++++++++++++++++++++ src/runtime/CL/functions/CLSplit.cpp | 96 +------------ tests/datasets/SplitDataset.h | 86 +++++++++++- tests/validation/CL/Split.cpp | 73 +++++++++- tests/validation/fixtures/SplitFixture.h | 111 ++++++++++++++- 7 files changed, 470 insertions(+), 131 deletions(-) create mode 100644 arm_compute/runtime/CPP/functions/CPPSplit.h diff --git a/arm_compute/runtime/CL/functions/CLSplit.h b/arm_compute/runtime/CL/functions/CLSplit.h index 7e22f52022..87265a4c00 100644 --- a/arm_compute/runtime/CL/functions/CLSplit.h +++ b/arm_compute/runtime/CL/functions/CLSplit.h @@ -24,9 +24,11 @@ #ifndef ARM_COMPUTE_CLSPLIT_H #define ARM_COMPUTE_CLSPLIT_H +#include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/functions/CLSlice.h" +#include "arm_compute/runtime/CPP/functions/CPPSplit.h" #include "arm_compute/runtime/IFunction.h" #include @@ -34,43 +36,12 @@ namespace arm_compute { -// Forward declarations -class ICLTensor; - /** Basic function to split a tensor along a given axis */ -class CLSplit : public IFunction +class CLSplit : public CPPSplit { public: - /** Default constructor */ - CLSplit(); - /** Initialise the kernel's input and outputs. - * - * @param[in] input The input tensor. Data types supported: All. - * @param[out] outputs A vector containing the output tensors. Data types supported: Same as @p input. - * The output tensors should match the input tensor dimensions for all shape dimensions apart - * from the split dimension. - * @param[in] axis Axis on which to split the input. - */ - void configure(const ICLTensor *input, const std::vector &outputs, unsigned int axis); - /** Static function to check if given info will lead to a valid configuration of @ref CLSplit - * - * @param[in] input The input tensor info. Data types supported: All. - * @param[in] outputs A vector containing the output tensors' info. Data types supported: Same as @p input. - * The output tensors should match the input tensor dimensions for all shape dimensions apart - * from the split dimension - * @param[in] axis Axis on which to split the input. - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const std::vector &outputs, unsigned int axis); - // Inherited methods overridden: void run() override; - -private: - std::vector _outputs_vector; - std::vector _slice_functions; - unsigned int _num_outputs; }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLSPLIT_H */ diff --git a/arm_compute/runtime/CPP/CPPFunctions.h b/arm_compute/runtime/CPP/CPPFunctions.h index b78436c1cf..c196381ce0 100644 --- a/arm_compute/runtime/CPP/CPPFunctions.h +++ b/arm_compute/runtime/CPP/CPPFunctions.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -30,6 +30,7 @@ #include "arm_compute/runtime/CPP/functions/CPPDetectionPostProcessLayer.h" #include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h" #include "arm_compute/runtime/CPP/functions/CPPPermute.h" +#include "arm_compute/runtime/CPP/functions/CPPSplit.h" #include "arm_compute/runtime/CPP/functions/CPPTopKV.h" #include "arm_compute/runtime/CPP/functions/CPPUpsample.h" diff --git a/arm_compute/runtime/CPP/functions/CPPSplit.h b/arm_compute/runtime/CPP/functions/CPPSplit.h new file mode 100644 index 0000000000..6adcbc3323 --- /dev/null +++ b/arm_compute/runtime/CPP/functions/CPPSplit.h @@ -0,0 +1,197 @@ +/* + * Copyright (c) 2020 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 ARM_COMPUTE_CPP_SPLIT_H +#define ARM_COMPUTE_CPP_SPLIT_H + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" + +#include "support/ToolchainSupport.h" + +#include "arm_compute/runtime/IFunction.h" + +namespace arm_compute +{ +/** Basic function to split a tensor along a given axis */ +template +class CPPSplit : public IFunction +{ +public: + CPPSplit() + : _outputs_vector(), _slice_functions(), _num_outputs(0) + { + } + /** Static function to check if given info will lead to a valid configuration of @ref CPPSplit + * + * @param[in] input The input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. + * @param[in] outputs A vector containing the output tensors' info. Data types supported: Same as @p input. + * The output tensors should match the input tensor dimensions for all shape dimensions apart + * from the split dimension + * @param[in] axis Axis on which to split the input. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const std::vector &outputs, unsigned int axis) + { + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); + ARM_COMPUTE_RETURN_ERROR_ON(axis >= input->num_dimensions()); + ARM_COMPUTE_RETURN_ERROR_ON(outputs.size() < 2); + + // Get output shape + TensorShape output_shape{}; + unsigned int total_output_shape_size = 0; + + // Sum the output sizes and fall back to evenly-sized splits if any are zero + const bool using_split_shapes = std::none_of(outputs.begin(), outputs.end(), [&total_output_shape_size](ITensorInfo * info) + { + unsigned int output_shape_size = info->tensor_shape().total_size(); + total_output_shape_size += output_shape_size; + return output_shape_size == 0; + }); + + if(using_split_shapes) + { + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().total_size() != total_output_shape_size); + } + else + { + output_shape = arm_compute::misc::shape_calculator::compute_split_shape(input, axis, outputs.size()); + ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0); + } + + // Validate output tensors + unsigned int axis_offset = 0; + for(const auto &output : outputs) + { + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); + if(using_split_shapes) + { + output_shape = output->tensor_shape(); + ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0); + } + + const size_t axis_split_step = output_shape[axis]; + + // Start/End coordinates + Coordinates start_coords; + Coordinates end_coords; + for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d) + { + end_coords.set(d, -1); + } + + // Output auto inizialitation if not yet initialized + TensorInfo tmp_output_info = *output->clone(); + auto_init_if_empty(tmp_output_info, input->clone()->set_is_resizable(true).set_tensor_shape(output_shape)); + + // Update coordinate on axis + start_coords.set(axis, axis_offset); + end_coords.set(axis, axis_offset + axis_split_step); + + ARM_COMPUTE_RETURN_ON_ERROR(SliceType::validate(input, output, start_coords, end_coords)); + axis_offset += axis_split_step; + } + + return Status{}; + } + + /** Initialise the kernel's input and outputs. + * + * @param[in] input The input tensor. Data types supported: All + * @param[out] outputs A vector containing the output tensors. Data types supported: Same as @p input. + * The output tensors should match the input tensor dimensions for all shape dimensions apart + * from the split dimension. + * @param[in] axis Axis on which to split the input. + */ + void configure(const TensorInterfaceType *input, const std::vector &outputs, unsigned int axis) + { + // Create Slice functions + _num_outputs = outputs.size(); + _slice_functions.resize(_num_outputs); + + // Extract output tensor info + std::vector outputs_info; + for(auto &output : outputs) + { + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + outputs_info.emplace_back(output->info()); + } + + // If any of the outputs have a zero size, fall-back to using evenly-sized output splits + const bool outputs_have_sizes = std::none_of(outputs_info.begin(), outputs_info.end(), [](ITensorInfo * info) + { + return info->tensor_shape().total_size() == 0; + }); + + // Validate + ARM_COMPUTE_ERROR_THROW_ON(CPPSplit::validate(input->info(), outputs_info, axis)); + + unsigned int axis_offset = 0; + unsigned int i = 0; + + for(const auto &output_info : outputs_info) + { + // Get output shape + TensorShape output_shape = (outputs_have_sizes ? + output_info->tensor_shape() : + arm_compute::misc::shape_calculator::compute_split_shape(input->info(), axis, _num_outputs)); + + const size_t axis_split_step = output_shape[axis]; + + // Start/End coordinates + Coordinates start_coords; + Coordinates end_coords; + + for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d) + { + end_coords.set(d, -1); + } + + // Update coordinate on axis + start_coords.set(axis, axis_offset); + end_coords.set(axis, axis_offset + axis_split_step); + + // Configure slice function + _slice_functions[i].configure(input, outputs[i], start_coords, end_coords); + + // Set valid region from shape + outputs[i]->info()->set_valid_region(ValidRegion(Coordinates(), output_shape)); + + // Update axis offset + axis_offset += axis_split_step; + ++i; + } + } + +protected: + std::vector _outputs_vector; + std::vector _slice_functions; + unsigned int _num_outputs; +}; + +} // namespace arm_compute +#endif /* ARM_COMPUTE_CPP_SPLIT_H */ diff --git a/src/runtime/CL/functions/CLSplit.cpp b/src/runtime/CL/functions/CLSplit.cpp index 8d37d538c8..9fca52bfd2 100644 --- a/src/runtime/CL/functions/CLSplit.cpp +++ b/src/runtime/CL/functions/CLSplit.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -34,100 +34,6 @@ namespace arm_compute { -CLSplit::CLSplit() - : _outputs_vector(), _slice_functions(), _num_outputs(0) -{ -} - -void CLSplit::configure(const ICLTensor *input, const std::vector &outputs, unsigned int axis) -{ - // Create Slice functions - _num_outputs = outputs.size(); - _slice_functions.resize(_num_outputs); - - // Get output shape - const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_split_shape(input->info(), axis, _num_outputs); - - // Extract output tensor info - std::vector outputs_info; - for(auto &output : outputs) - { - ARM_COMPUTE_ERROR_ON_NULLPTR(output); - outputs_info.emplace_back(output->info()); - } - - // Validate - ARM_COMPUTE_ERROR_THROW_ON(CLSplit::validate(input->info(), outputs_info, axis)); - - const size_t axis_split_step = output_shape[axis]; - unsigned int axis_offset = 0; - - // Start/End coordinates - Coordinates start_coords; - Coordinates end_coords; - for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d) - { - end_coords.set(d, -1); - } - - for(unsigned int i = 0; i < _num_outputs; i++) - { - // Update coordinate on axis - start_coords.set(axis, axis_offset); - end_coords.set(axis, axis_offset + axis_split_step); - - // Configure slice function - _slice_functions[i].configure(input, outputs[i], start_coords, end_coords); - - // Set valid region from shape - outputs[i]->info()->set_valid_region(ValidRegion(Coordinates(), output_shape)); - - // Update axis offset - axis_offset += axis_split_step; - } -} - -Status CLSplit::validate(const ITensorInfo *input, const std::vector &outputs, unsigned int axis) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); - ARM_COMPUTE_RETURN_ERROR_ON(axis >= input->num_dimensions()); - ARM_COMPUTE_RETURN_ERROR_ON(outputs.size() < 2); - - // Get output shape - const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_split_shape(input, axis, outputs.size()); - ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0); - - const size_t axis_split_step = output_shape[axis]; - unsigned int axis_offset = 0; - - // Start/End coordinates - Coordinates start_coords; - Coordinates end_coords; - for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d) - { - end_coords.set(d, -1); - } - - // Validate output tensors - for(const auto &output : outputs) - { - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); - - // Output auto inizialitation if not yet initialized - TensorInfo tmp_output_info = *output->clone(); - auto_init_if_empty(tmp_output_info, input->clone()->set_is_resizable(true).set_tensor_shape(output_shape)); - - // Update coordinate on axis - start_coords.set(axis, axis_offset); - end_coords.set(axis, axis_offset + axis_split_step); - - ARM_COMPUTE_RETURN_ON_ERROR(CLSlice::validate(input, output, start_coords, end_coords)); - axis_offset += axis_split_step; - } - - return Status{}; -} - void CLSplit::run() { cl::CommandQueue q = CLScheduler::get().queue(); diff --git a/tests/datasets/SplitDataset.h b/tests/datasets/SplitDataset.h index b38252a489..3d4c289ba7 100644 --- a/tests/datasets/SplitDataset.h +++ b/tests/datasets/SplitDataset.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -128,6 +128,90 @@ public: add_config(TensorShape(128U, 64U, 32U, 4U), 3U, 4U); } }; + +class SplitShapesDataset +{ +public: + using type = std::tuple>; + + struct iterator + { + iterator(std::vector::const_iterator tensor_shapes_it, + std::vector::const_iterator axis_values_it, + std::vector>::const_iterator split_shapes_values_it) + : _tensor_shapes_it{ std::move(tensor_shapes_it) }, + _axis_values_it{ std::move(axis_values_it) }, + _split_shapes_values_it{ std::move(split_shapes_values_it) } + { + } + + std::string description() const + { + std::stringstream description; + description << "Shape=" << *_tensor_shapes_it << ":"; + description << "Axis=" << *_axis_values_it << ":"; + description << "Split shapes=" << *_split_shapes_values_it << ":"; + return description.str(); + } + + SplitShapesDataset::type operator*() const + { + return std::make_tuple(*_tensor_shapes_it, *_axis_values_it, *_split_shapes_values_it); + } + + iterator &operator++() + { + ++_tensor_shapes_it; + ++_axis_values_it; + ++_split_shapes_values_it; + return *this; + } + + private: + std::vector::const_iterator _tensor_shapes_it; + std::vector::const_iterator _axis_values_it; + std::vector>::const_iterator _split_shapes_values_it; + }; + + iterator begin() const + { + return iterator(_tensor_shapes.begin(), _axis_values.begin(), _split_shapes_values.begin()); + } + + int size() const + { + return std::min(_tensor_shapes.size(), std::min(_axis_values.size(), _split_shapes_values.size())); + } + + void add_config(TensorShape shape, unsigned int axis, std::vector split_shapes) + { + _tensor_shapes.emplace_back(std::move(shape)); + _axis_values.emplace_back(axis); + _split_shapes_values.emplace_back(split_shapes); + } + +protected: + SplitShapesDataset() = default; + SplitShapesDataset(SplitShapesDataset &&) = default; + +private: + std::vector _tensor_shapes{}; + std::vector _axis_values{}; + std::vector> _split_shapes_values{}; +}; + +class SmallSplitShapesDataset final : public SplitShapesDataset +{ +public: + SmallSplitShapesDataset() + { + add_config(TensorShape(27U, 3U, 16U, 2U), 2U, std::vector { TensorShape(27U, 3U, 4U, 2U), + TensorShape(27U, 3U, 4U, 2U), + TensorShape(27U, 3U, 8U, 2U) + }); + } +}; + } // namespace datasets } // namespace test } // namespace arm_compute diff --git a/tests/validation/CL/Split.cpp b/tests/validation/CL/Split.cpp index e038b89856..8f55b4250f 100644 --- a/tests/validation/CL/Split.cpp +++ b/tests/validation/CL/Split.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -65,6 +65,29 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( const Status status = CLSplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis); ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); } + +DATA_TEST_CASE(ValidateSplitShapes, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32) + }), + framework::dataset::make("Axis", { 2, 2 })), + framework::dataset::make("Splits", { std::vector{TensorInfo(TensorShape(27U, 3U, 4U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 3U, 4U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 3U, 8U, 2U), 1, DataType::F32)}, + std::vector{TensorInfo(TensorShape(27U, 3U, 3U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 3U, 13U, 2U), 1, DataType::F32)} })), + framework::dataset::make("Expected", { true, true })), + input_info, axis, splits, expected) +{ + std::vector outputs_info_ptr; + + for(auto &split : splits) + { + outputs_info_ptr.emplace_back(const_cast(&split)); + } + const Status status = CLSplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis); + ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); +} // clang-format on // *INDENT-ON* @@ -95,9 +118,45 @@ DATA_TEST_CASE(Configuration, } } +DATA_TEST_CASE(ConfigurationSplitShapes, + framework::DatasetMode::ALL, + combine(datasets::SmallSplitShapesDataset(), framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), + shape, axis, split_shapes, data_type) +{ + // Create tensors + CLTensor src = create_tensor(shape, data_type); + std::vector dsts; + + for(const auto &split_shape : split_shapes) + { + CLTensor dst = create_tensor(split_shape, data_type); + dsts.push_back(std::move(dst)); + } + + std::vector dsts_ptrs; + for(auto &dst : dsts) + { + dsts_ptrs.emplace_back(&dst); + } + + // Create and Configure function + CLSplit split; + split.configure(&src, dsts_ptrs, axis); + + // Validate valid regions + for(auto &dst : dsts) + { + const ValidRegion valid_region = shape_to_valid_region(dst.info()->tensor_shape()); + validate(dst.info()->valid_region(), valid_region); + } +} + template using CLSplitFixture = SplitFixture; +template +using CLSplitShapesFixture = SplitShapesFixture; + TEST_SUITE(Float) TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, @@ -149,6 +208,18 @@ FIXTURE_DATA_TEST_CASE(RunLarge, validate(CLAccessor(_target[i]), _reference[i]); } } + +FIXTURE_DATA_TEST_CASE(RunSmallSplitShapes, + CLSplitShapesFixture, + framework::DatasetMode::PRECOMMIT, + combine(datasets::SmallSplitShapesDataset(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate outputs + for(unsigned int i = 0; i < _target.size(); ++i) + { + validate(CLAccessor(_target[i]), _reference[i]); + } +} TEST_SUITE_END() // FP32 TEST_SUITE_END() // Float diff --git a/tests/validation/fixtures/SplitFixture.h b/tests/validation/fixtures/SplitFixture.h index 07501775e5..d2336ab2d9 100644 --- a/tests/validation/fixtures/SplitFixture.h +++ b/tests/validation/fixtures/SplitFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -145,6 +145,115 @@ protected: std::vector _target{}; std::vector> _reference{}; }; + +template +class SplitShapesFixture : public framework::Fixture +{ +public: + template + void setup(TensorShape shape, unsigned int axis, std::vector split_shapes, DataType data_type) + { + _target = compute_target(shape, axis, split_shapes, data_type); + _reference = compute_reference(shape, axis, split_shapes, data_type); + } + +protected: + template + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + std::vector compute_target(TensorShape shape, unsigned int axis, std::vector split_shapes, DataType data_type) + { + // Create tensors + TensorType src = create_tensor(shape, data_type); + std::vector dsts{}; + std::vector dsts_ptr; + + for(const auto &split_shape : split_shapes) + { + TensorType dst = create_tensor(split_shape, data_type); + dsts.push_back(std::move(dst)); + } + + for(auto &dst : dsts) + { + dsts_ptr.emplace_back(&dst); + } + + // Create and configure function + FunctionType split; + split.configure(&src, dsts_ptr, axis); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(std::all_of(dsts.cbegin(), dsts.cend(), [](const TensorType & t) + { + return t.info()->is_resizable(); + }), + framework::LogLevel::ERRORS); + + // Allocate tensors + src.allocator()->allocate(); + for(unsigned int i = 0; i < dsts.size(); ++i) + { + dsts[i].allocator()->allocate(); + } + + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(std::all_of(dsts.cbegin(), dsts.cend(), [](const TensorType & t) + { + return !t.info()->is_resizable(); + }), + framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(src), 0); + + // Compute function + split.run(); + + return dsts; + } + + std::vector> compute_reference(TensorShape shape, unsigned int axis, std::vector split_shapes, DataType data_type) + { + // Create reference + SimpleTensor src{ shape, data_type }; + std::vector> dsts; + + // Fill reference + fill(src, 0); + + unsigned int axis_offset{ 0 }; + for(const auto &split_shape : split_shapes) + { + // Calculate splice for each split + const size_t axis_split_step = split_shape[axis]; + + // Start/End coordinates + Coordinates start_coords; + Coordinates end_coords; + for(unsigned int d = 0; d < shape.num_dimensions(); ++d) + { + end_coords.set(d, -1); + } + + // Update coordinate on axis + start_coords.set(axis, axis_offset); + end_coords.set(axis, axis_offset + axis_split_step); + + dsts.emplace_back(std::move(reference::slice(src, start_coords, end_coords))); + + axis_offset += axis_split_step; + } + + return dsts; + } + + std::vector _target{}; + std::vector> _reference{}; +}; } // namespace validation } // namespace test } // namespace arm_compute -- cgit v1.2.1