diff options
author | Michalis Spyrou <michalis.spyrou@arm.com> | 2018-06-11 16:30:23 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:53:09 +0000 |
commit | 0a887922c73bbe7c5d42b1eb3ae55730f0d9a139 (patch) | |
tree | 3b4908c9ea3490569a9adaca44697a1c9e498c7c | |
parent | 32af1f8ed8466647abb4f0532c70f72530a1a9ca (diff) | |
download | ComputeLibrary-0a887922c73bbe7c5d42b1eb3ae55730f0d9a139.tar.gz |
COMPMID-1222 Implementing CLArithmeticDivision - FP32 / FP16
Change-Id: I2e3f725ef5ed1454755086b9640ab84a81f4d40e
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/135170
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
-rw-r--r-- | arm_compute/core/CL/CLKernels.h | 1 | ||||
-rw-r--r-- | arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h | 81 | ||||
-rw-r--r-- | arm_compute/runtime/CL/CLFunctions.h | 1 | ||||
-rw-r--r-- | arm_compute/runtime/CL/functions/CLArithmeticDivision.h | 62 | ||||
-rw-r--r-- | src/core/CL/CLKernelLibrary.cpp | 1 | ||||
-rw-r--r-- | src/core/CL/cl_kernels/arithmetic_op.cl | 56 | ||||
-rw-r--r-- | src/core/CL/kernels/CLArithmeticDivisionKernel.cpp | 185 | ||||
-rw-r--r-- | src/runtime/CL/functions/CLArithmeticDivision.cpp | 54 | ||||
-rw-r--r-- | tests/validation/CL/ArithmeticDivision.cpp | 152 | ||||
-rw-r--r-- | tests/validation/fixtures/ArithmeticDivisionFixture.h | 125 | ||||
-rw-r--r-- | tests/validation/reference/ArithmeticDivision.cpp | 93 | ||||
-rw-r--r-- | tests/validation/reference/ArithmeticDivision.h | 44 |
12 files changed, 853 insertions, 2 deletions
diff --git a/arm_compute/core/CL/CLKernels.h b/arm_compute/core/CL/CLKernels.h index f1171a8c10..737d8df4e8 100644 --- a/arm_compute/core/CL/CLKernels.h +++ b/arm_compute/core/CL/CLKernels.h @@ -29,6 +29,7 @@ #include "arm_compute/core/CL/kernels/CLAccumulateKernel.h" #include "arm_compute/core/CL/kernels/CLActivationLayerKernel.h" #include "arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h" +#include "arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h" #include "arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h" #include "arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h" #include "arm_compute/core/CL/kernels/CLBitwiseAndKernel.h" diff --git a/arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h b/arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h new file mode 100644 index 0000000000..430a641559 --- /dev/null +++ b/arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h @@ -0,0 +1,81 @@ +/* + * Copyright (c) 2018 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_CLARITHMETICDIVISIONKERNEL_H__ +#define __ARM_COMPUTE_CLARITHMETICDIVISIONKERNEL_H__ + +#include "arm_compute/core/CL/ICLKernel.h" +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Interface for the arithmetic division kernel + * + * Arithmetic division is computed by: + * @f[ output(x,y) = input1(x,y) / input2(x,y) @f] + */ +class CLArithmeticDivisionKernel : public ICLKernel +{ +public: + /** Default constructor */ + CLArithmeticDivisionKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLArithmeticDivisionKernel(const CLArithmeticDivisionKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLArithmeticDivisionKernel &operator=(const CLArithmeticDivisionKernel &) = delete; + /** Allow instances of this class to be moved */ + CLArithmeticDivisionKernel(CLArithmeticDivisionKernel &&) = default; + /** Allow instances of this class to be moved */ + CLArithmeticDivisionKernel &operator=(CLArithmeticDivisionKernel &&) = default; + /** Default destructor */ + ~CLArithmeticDivisionKernel() = default; + /** Initialise the kernel's inputs, output. + * + * @param[in] input1 First tensor input. Data types supported: F16/F32. + * @param[in] input2 Second tensor input. Data types supported: Same as @p input1. + * @param[out] output Output tensor. Data types supported: Same as @p input1. + */ + void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivisionKernel + * + * @param[in] input1 First tensor input info. Data types supported: F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[in] output Output tensor info. Data types supported: Same as @p input1. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + + // Inherited methods overridden: + void run(const Window &window, cl::CommandQueue &queue) override; + BorderSize border_size() const override; + +private: + const ICLTensor *_input1; /**< Source tensor 1 */ + const ICLTensor *_input2; /**< Source tensor 2 */ + ICLTensor *_output; /**< Destination tensor */ +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CLARITHMETICDIVISIONKERNEL_H__ */ diff --git a/arm_compute/runtime/CL/CLFunctions.h b/arm_compute/runtime/CL/CLFunctions.h index fe90b0989f..0b69c96673 100644 --- a/arm_compute/runtime/CL/CLFunctions.h +++ b/arm_compute/runtime/CL/CLFunctions.h @@ -29,6 +29,7 @@ #include "arm_compute/runtime/CL/functions/CLAccumulate.h" #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" #include "arm_compute/runtime/CL/functions/CLArithmeticAddition.h" +#include "arm_compute/runtime/CL/functions/CLArithmeticDivision.h" #include "arm_compute/runtime/CL/functions/CLArithmeticSubtraction.h" #include "arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h" #include "arm_compute/runtime/CL/functions/CLBitwiseAnd.h" diff --git a/arm_compute/runtime/CL/functions/CLArithmeticDivision.h b/arm_compute/runtime/CL/functions/CLArithmeticDivision.h new file mode 100644 index 0000000000..c91435cee9 --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLArithmeticDivision.h @@ -0,0 +1,62 @@ +/* + * Copyright (c) 2018 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_CLARITHMETICDIVISION_H__ +#define __ARM_COMPUTE_CLARITHMETICDIVISION_H__ + +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CL/ICLSimpleFunction.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Basic function to run @ref CLArithmeticDivisionKernel + * + * @note The tensor data type for the inputs must be F16/F32. + * @note The function performs an arithmetic division between two tensors. + */ +class CLArithmeticDivision : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output. + * + * @param[in, out] input1 First tensor input. Data types supported: F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Same as @p input1. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: Same as @p input1. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision + * + * @param[in] input1 First tensor input info. Data types supported: F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[in] output Output tensor info. Data types supported: Same as @p input1. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); +}; +} +#endif /* __ARM_COMPUTE_CLARITHMETICDIVISION_H__ */ diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp index 207efa6aa1..0b2f414c71 100644 --- a/src/core/CL/CLKernelLibrary.cpp +++ b/src/core/CL/CLKernelLibrary.cpp @@ -151,6 +151,7 @@ const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map = { "activation_layer_qa8", "activation_layer_qa8.cl" }, { "arithmetic_add", "arithmetic_op.cl" }, { "arithmetic_sub", "arithmetic_op.cl" }, + { "arithmetic_div", "arithmetic_op.cl" }, { "batchnormalization_layer_nchw", "batchnormalization_layer.cl" }, { "batchnormalization_layer_nhwc", "batchnormalization_layer.cl" }, { "bitwise_or", "bitwise_op.cl" }, diff --git a/src/core/CL/cl_kernels/arithmetic_op.cl b/src/core/CL/cl_kernels/arithmetic_op.cl index 12963473c5..8bd28230b7 100644 --- a/src/core/CL/cl_kernels/arithmetic_op.cl +++ b/src/core/CL/cl_kernels/arithmetic_op.cl @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016, 2017 ARM Limited. + * Copyright (c) 2016-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -35,6 +35,8 @@ #define SUB(x, y) (x) - (y) #endif /* SATURATE */ +#define DIV(x, y) (x) / (y) + /** This function adds two tensors. * * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT: @@ -86,7 +88,7 @@ __kernel void arithmetic_add( vstore16(ADD(in_a, in_b), 0, (__global DATA_TYPE_OUT *)out.ptr); } -/** This function subtracts one tensors from another. +/** This function subtracts one tensor from another. * * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT: * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=short @@ -136,3 +138,53 @@ __kernel void arithmetic_sub( // Calculate and store result vstore16(SUB(in_a, in_b), 0, (__global DATA_TYPE_OUT *)out.ptr); } + +/** This function divides one tensor from another. + * + * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT: + * e.g. -DDATA_TYPE_IN1=float -DDATA_TYPE_IN2=float -DDATA_TYPE_OUT=float + * + * @param[in] in1_ptr Pointer to the source tensor. Supported data types: F16/F32 + * @param[in] in1_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] in1_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] in1_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] in1_step_z in1_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] in2_ptr Pointer to the source tensor. Supported data types: Same as @p in1_ptr + * @param[in] in2_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] in2_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] in2_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] in2_step_z in2_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] out_ptr Pointer to the destination tensor. Supported data types: Same as @p in1_ptr + * @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] out_step_z out_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void arithmetic_div( + TENSOR3D_DECLARATION(in1), + TENSOR3D_DECLARATION(in2), + TENSOR3D_DECLARATION(out)) +{ + // Get pixels pointer + Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1); + Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2); + Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out); + + // Load values + VEC_DATA_TYPE(DATA_TYPE_OUT, 16) + in_a = CONVERT(vload16(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, 16)); + VEC_DATA_TYPE(DATA_TYPE_OUT, 16) + in_b = CONVERT(vload16(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_OUT, 16)); + + // Calculate and store result + vstore16(DIV(in_a, in_b), 0, (__global DATA_TYPE_OUT *)out.ptr); +} diff --git a/src/core/CL/kernels/CLArithmeticDivisionKernel.cpp b/src/core/CL/kernels/CLArithmeticDivisionKernel.cpp new file mode 100644 index 0000000000..9bd0da15a3 --- /dev/null +++ b/src/core/CL/kernels/CLArithmeticDivisionKernel.cpp @@ -0,0 +1,185 @@ +/* + * Copyright (c) 2018 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. + */ +#include "arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLValidate.h" +#include "arm_compute/core/CL/ICLTensor.h" + +using namespace arm_compute; + +namespace +{ +constexpr unsigned int num_elems_processed_per_iteration = 16; + +Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output); + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input1); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2); + + const TensorShape out_shape = TensorShape::broadcast_shape(input1->tensor_shape(), input2->tensor_shape()); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); + + // Validate in case of configured output + if(output->total_size() > 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, output->tensor_shape(), 0), + "Wrong shape for output"); + } + + return Status{}; +} + +std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output) +{ + const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(*input1, *input2); + const TensorShape &out_shape = broadcast_pair.first; + const ValidRegion &valid_region = broadcast_pair.second; + + // Auto initialize output if not initialized + { + set_shape_if_empty(*output, out_shape); + + if(input1->data_type() == DataType::F16 && input2->data_type() == DataType::F16) + { + set_format_if_unknown(*output, Format::F16); + } + else if(input1->data_type() == DataType::F32 || input2->data_type() == DataType::F32) + { + set_format_if_unknown(*output, Format::F32); + } + } + + Window win = calculate_max_window(valid_region, Steps(num_elems_processed_per_iteration)); + Window win_input1 = win.broadcast_if_dimension_le_one(*input1); + Window win_input2 = win.broadcast_if_dimension_le_one(*input2); + + AccessWindowHorizontal input1_access(input1, 0, num_elems_processed_per_iteration); + AccessWindowHorizontal input2_access(input2, 0, num_elems_processed_per_iteration); + AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); + + bool window_changed = update_window_and_padding(win_input1, input1_access) + || update_window_and_padding(win_input2, input2_access) + || update_window_and_padding(win, output_access); + + output_access.set_valid_region(win, valid_region); + + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, win); +} +} // namespace + +CLArithmeticDivisionKernel::CLArithmeticDivisionKernel() + : _input1(nullptr), _input2(nullptr), _output(nullptr) +{ +} + +void CLArithmeticDivisionKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info())); + + // Configure kernel window + auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info()); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + + _input1 = input1; + _input2 = input2; + _output = output; + + // Set kernel build options + std::set<std::string> build_opts; + build_opts.emplace("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type())); + build_opts.emplace("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type())); + build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type())); + + // Create kernel + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("arithmetic_div", build_opts)); + + ICLKernel::configure(win_config.second); +} + +Status CLArithmeticDivisionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first); + + return Status{}; +} + +void CLArithmeticDivisionKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + const TensorShape &in_shape1 = _input1->info()->tensor_shape(); + const TensorShape &in_shape2 = _input2->info()->tensor_shape(); + const TensorShape &out_shape = _output->info()->tensor_shape(); + + bool can_collapse = true; + if(std::min(in_shape1.total_size(), in_shape2.total_size()) > 1) + { + can_collapse = (std::min(in_shape1.num_dimensions(), in_shape2.num_dimensions()) > Window::DimZ); + for(size_t d = Window::DimZ; can_collapse && (d < out_shape.num_dimensions()); d++) + { + can_collapse = (in_shape1[d] == in_shape2[d]); + } + } + + bool has_collapsed = false; + Window collapsed = can_collapse ? window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &has_collapsed) : window; + + const TensorShape &in_shape1_collapsed = has_collapsed ? in_shape1.collapsed_from(Window::DimZ) : in_shape1; + const TensorShape &in_shape2_collapsed = has_collapsed ? in_shape2.collapsed_from(Window::DimZ) : in_shape2; + + Window slice = collapsed.first_slice_window_3D(); + Window slice_input1 = slice.broadcast_if_dimension_le_one(in_shape1_collapsed); + Window slice_input2 = slice.broadcast_if_dimension_le_one(in_shape2_collapsed); + + do + { + unsigned int idx = 0; + + add_3D_tensor_argument(idx, _input1, slice_input1); + add_3D_tensor_argument(idx, _input2, slice_input2); + add_3D_tensor_argument(idx, _output, slice); + + enqueue(queue, *this, slice); + + collapsed.slide_window_slice_3D(slice_input1); + collapsed.slide_window_slice_3D(slice_input2); + } + while(collapsed.slide_window_slice_3D(slice)); +} + +BorderSize CLArithmeticDivisionKernel::border_size() const +{ + const unsigned int replicateSize = _output->info()->dimension(0) - std::min(_input1->info()->dimension(0), _input2->info()->dimension(0)); + const unsigned int border = std::min<unsigned int>(num_elems_processed_per_iteration - 1U, replicateSize); + return BorderSize(0, border, 0, 0); +} diff --git a/src/runtime/CL/functions/CLArithmeticDivision.cpp b/src/runtime/CL/functions/CLArithmeticDivision.cpp new file mode 100644 index 0000000000..1c2849cee9 --- /dev/null +++ b/src/runtime/CL/functions/CLArithmeticDivision.cpp @@ -0,0 +1,54 @@ +/* + * Copyright (c) 2018 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. + */ +#include "arm_compute/runtime/CL/functions/CLArithmeticDivision.h" + +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/CL/kernels/CLArithmeticDivisionKernel.h" +#include "support/ToolchainSupport.h" + +#include <utility> + +using namespace arm_compute; + +void CLArithmeticDivision::configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output) +{ + auto k = arm_compute::support::cpp14::make_unique<CLArithmeticDivisionKernel>(); + k->configure(input1, input2, output); + _kernel = std::move(k); + + if(output->info()->dimension(0) > 1) + { + ICLTensor *broadcasted_info = (input1->info()->dimension(0) == 1) ? input1 : input2; + + if(broadcasted_info->info()->dimension(0) == 1) + { + _border_handler.configure(broadcasted_info, _kernel->border_size(), BorderMode::REPLICATE); + } + } +} + +Status CLArithmeticDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return CLArithmeticDivisionKernel::validate(input1, input2, output); +} diff --git a/tests/validation/CL/ArithmeticDivision.cpp b/tests/validation/CL/ArithmeticDivision.cpp new file mode 100644 index 0000000000..dab3f75018 --- /dev/null +++ b/tests/validation/CL/ArithmeticDivision.cpp @@ -0,0 +1,152 @@ +/* + * Copyright (c) 2018 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. + */ +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/CL/CLTensorAllocator.h" +#include "arm_compute/runtime/CL/functions/CLArithmeticDivision.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/ConvertPolicyDataset.h" +#include "tests/datasets/ShapeDatasets.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Macros.h" +#include "tests/framework/datasets/Datasets.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/ArithmeticDivisionFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +RelativeTolerance<float> tolerance_fp32(0.000001f); +RelativeTolerance<float> tolerance_fp16(0.0001f); +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(ArithmeticDivision) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Wrong data type + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 2), + }), + framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 2), + })), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32, 2), + })), + framework::dataset::make("Expected", { false, false, false, false, true })), + input1_info, input2_info, output_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(CLArithmeticDivision::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using CLArithmeticDivisionFixture = ArithmeticDivisionValidationFixture<CLTensor, CLAccessor, CLArithmeticDivision, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp16); +} +TEST_SUITE_END() // FP16 + +TEST_SUITE(FP32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, concat(datasets::SmallShapes(), datasets::LargeShapes()), shape) +{ + // Create tensors + CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::F32); + CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::F32); + CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32); + + // Create and Configure function + CLArithmeticDivision div; + div.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(ref_src1.info()->padding(), padding); + validate(ref_src2.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticDivisionFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticDivisionFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} + +template <typename T> +using CLArithmeticDivisionBroadcastFixture = ArithmeticDivisionBroadcastValidationFixture<CLTensor, CLAccessor, CLArithmeticDivision, T>; + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticDivisionBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), + framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticDivisionBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), + framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float + +TEST_SUITE_END() // ArithmeticDivision +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/ArithmeticDivisionFixture.h b/tests/validation/fixtures/ArithmeticDivisionFixture.h new file mode 100644 index 0000000000..d113977ca8 --- /dev/null +++ b/tests/validation/fixtures/ArithmeticDivisionFixture.h @@ -0,0 +1,125 @@ +/* + * Copyright (c) 2018 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_TEST_ARITHMETIC_DIVISION_FIXTURE +#define ARM_COMPUTE_TEST_ARITHMETIC_DIVISION_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/Helpers.h" +#include "tests/validation/reference/ArithmeticDivision.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ArithmeticDivisionBroadcastValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type) + { + _target = compute_target(shape0, shape1, data_type); + _reference = compute_reference(shape0, shape1, data_type); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type) + { + // Create tensors + TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type, 1); + TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type, 1); + TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), data_type); + + // Create and configure function + FunctionType add; + add.configure(&ref_src1, &ref_src2, &dst); + + ARM_COMPUTE_EXPECT(ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + ref_src1.allocator()->allocate(); + ref_src2.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(ref_src1), 0); + fill(AccessorType(ref_src2), 1); + + // Compute function + add.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, DataType data_type) + { + // Create reference + SimpleTensor<T> ref_src1{ shape0, data_type, 1 }; + SimpleTensor<T> ref_src2{ shape1, data_type, 1 }; + + // Fill reference + fill(ref_src1, 0); + fill(ref_src2, 1); + + return reference::arithmetic_division<T>(ref_src1, ref_src2, data_type); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ArithmeticDivisionValidationFixture : public ArithmeticDivisionBroadcastValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type) + { + ArithmeticDivisionBroadcastValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, shape, data_type); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ARITHMETIC_DIVISION_FIXTURE */ diff --git a/tests/validation/reference/ArithmeticDivision.cpp b/tests/validation/reference/ArithmeticDivision.cpp new file mode 100644 index 0000000000..934e89052f --- /dev/null +++ b/tests/validation/reference/ArithmeticDivision.cpp @@ -0,0 +1,93 @@ +/* + * Copyright (c) 2018 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. + */ +#include "ArithmeticDivision.h" + +#include "arm_compute/core/Types.h" +#include "tests/validation/FixedPoint.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +namespace +{ +template <size_t dim> +struct BroadcastUnroll +{ + template <typename T> + static void unroll(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, SimpleTensor<T> &dst, + Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) + { + const bool src1_is_broadcast = (src1.shape()[dim - 1] != dst.shape()[dim - 1]); + const bool src2_is_broadcast = (src2.shape()[dim - 1] != dst.shape()[dim - 1]); + + id_src1.set(dim - 1, 0); + id_src2.set(dim - 1, 0); + id_dst.set(dim - 1, 0); + + for(size_t i = 0; i < dst.shape()[dim - 1]; ++i, ++id_dst[dim - 1]) + { + BroadcastUnroll < dim - 1 >::unroll(src1, src2, dst, id_src1, id_src2, id_dst); + + id_src1[dim - 1] += !src1_is_broadcast; + id_src2[dim - 1] += !src2_is_broadcast; + } + } +}; + +template <> +struct BroadcastUnroll<0> +{ + template <typename T> + static void unroll(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, SimpleTensor<T> &dst, + Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) + { + dst[coord2index(dst.shape(), id_dst)] = src1[coord2index(src1.shape(), id_src1)] / src2[coord2index(src2.shape(), id_src2)]; + } +}; +} // namespace + +template <typename T> +SimpleTensor<T> arithmetic_division(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, DataType data_type) +{ + SimpleTensor<T> dst(TensorShape::broadcast_shape(src1.shape(), src2.shape()), data_type); + + Coordinates id_src1, id_src2, id_dst; + + BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(src1, src2, dst, id_src1, id_src2, id_dst); + + return dst; +} + +template SimpleTensor<half> arithmetic_division(const SimpleTensor<half> &src1, const SimpleTensor<half> &src2, DataType data_type); +template SimpleTensor<float> arithmetic_division(const SimpleTensor<float> &src1, const SimpleTensor<float> &src2, DataType data_type); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/reference/ArithmeticDivision.h b/tests/validation/reference/ArithmeticDivision.h new file mode 100644 index 0000000000..5459dab2c0 --- /dev/null +++ b/tests/validation/reference/ArithmeticDivision.h @@ -0,0 +1,44 @@ +/* + * Copyright (c) 2018 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_TEST_ARITHMETIC_DIVISION_H__ +#define __ARM_COMPUTE_TEST_ARITHMETIC_DIVISION_H__ + +#include "tests/SimpleTensor.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> arithmetic_division(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, DataType data_type); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_ARITHMETIC_DIVISION_H__ */ |