diff options
Diffstat (limited to 'arm_compute/core/NEON/kernels/assembly')
8 files changed, 0 insertions, 974 deletions
diff --git a/arm_compute/core/NEON/kernels/assembly/Helpers.h b/arm_compute/core/NEON/kernels/assembly/Helpers.h deleted file mode 100644 index 9372e05295..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/Helpers.h +++ /dev/null @@ -1,122 +0,0 @@ -/* - * Copyright (c) 2018-2019 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_ASSEMBLY_HELPERS_H -#define ARM_COMPUTE_ASSEMBLY_HELPERS_H - -#include "arm_compute/core/CPP/CPPTypes.h" -#include "arm_compute/core/Utils.h" - -#include "arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h" -#include "arm_compute/core/NEON/kernels/assembly/arm_gemm.hpp" - -namespace arm_compute -{ -/** Block sizes to use to break the M, N, K dimension */ -struct BlockSizes -{ - unsigned int k_block{ 0 }; /**< Block size alon the K dimension */ - unsigned int x_block{ 0 }; /**< Block size along the N (x) dimension */ - unsigned int m_round{ 0 }; /**< Block size along the M dimension (Must be a multiple of strategy_out_height) */ - unsigned int strategy_out_height{ 0 }; /**< Number of rows (M) processed by the selected strategy */ -}; - -/** Extracts the kernel description of the selected kernel by the GEMM backend heuristics - * - * @param[in] input_type Data type of the input tensor. - * @param[in] ci CPU information. - * @param[in] num_threads Maximum number of threads that might be used for the calculations. - * @param[in] p M, N, K sizes. - * @param[in] activation Activation struct - * @param[in] pretranspose_hint Is B also pretransposed ? - * - * @return Kernel description that the assembly heuristics picked for the given configuration - */ -arm_gemm::KernelDescription get_gemm_info(DataType input_type, - const CPUInfo &ci, - const unsigned int num_threads, - const INEGEMMWrapperKernel::Params &p, - arm_gemm::Activation activation, - bool pretranspose_hint); - -/** Calculate the recommended block sizes to use based on the CPU cache sizes and the strategy which will be used - * - * @param[in] ci CPU information. - * @param[in] M M dimension. - * @param[in] N N dimension. - * @param[in] K K dimension. - * - * @return Recommeded block sizes to use for the given M, N, K dimensions. - */ -template <typename strategy> -BlockSizes calculate_block_sizes(const CPUInfo &ci, unsigned int M, unsigned int N, unsigned int K) -{ - BlockSizes bs; - - using Toi = typename strategy::operand_type; - - const unsigned int L1_size = ci.get_L1_cache_size(); - const unsigned int L2_size = ci.get_L2_cache_size(); - - // Work out blocking parameters - - // k_block: Find out how much of the larger array can be loaded into half the cache. - // This should account for associative caches. - bs.k_block = (L1_size / 2) / (sizeof(Toi) * (std::max(strategy::out_width(), strategy::out_height()))); - - // Needs to be (at least a single) multiple of the K unroll level. - bs.k_block /= strategy::k_unroll(); - bs.k_block = std::max(bs.k_block, 1U) * strategy::k_unroll(); - - // Now tune to presented problem size; this is how many blocks we need. - int num_k_blocks = DIV_CEIL(K, bs.k_block); - - // So divide the space equally into that many blocks. - bs.k_block = DIV_CEIL(K, num_k_blocks); - - // And round UP to the K unroll level required. - bs.k_block = ceil_to_multiple(bs.k_block, strategy::k_unroll()); - - // x_block: Work out how many rows (of length k_block) will fit in the L2 - // Don't allocate more than 90% of the L2 to allow for overheads, and subtract off the L1 contents. - bs.x_block = (((L2_size * 9) / 10) - (bs.k_block * sizeof(Toi) * (strategy::out_width() + strategy::out_height()))) / (sizeof(Toi) * bs.k_block); - - // Needs to be (at least a single) multiple of the kernel output width. - bs.x_block /= strategy::out_width(); - bs.x_block = std::max(bs.x_block, 1U) * strategy::out_width(); - - // And tune to the presented problem size. - int num_x_blocks = DIV_CEIL(N, bs.x_block); - bs.x_block = DIV_CEIL(N, num_x_blocks); - - bs.x_block = ceil_to_multiple(bs.x_block, strategy::out_width()); - - // Work out the rounded size of M - needed for some buffers. - bs.m_round = ceil_to_multiple(M, strategy::out_height()); - bs.strategy_out_height = strategy::out_height(); - - return bs; -} - -} // namespace arm_compute -#endif /* ARM_COMPUTE_ASSEMBLY_HELPERS_H */ diff --git a/arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h b/arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h deleted file mode 100644 index f152ab5f61..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h +++ /dev/null @@ -1,108 +0,0 @@ -/* - * Copyright (c) 2018-2019 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_INEGEMMWRAPPERKERNEL_H -#define ARM_COMPUTE_INEGEMMWRAPPERKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" - -namespace arm_compute -{ -class ITensor; - -/** Common interface for all the arm_gemm Gemms - */ -class INEGEMMWrapperKernel : public INEKernel -{ -public: - /** Parameters defining the dimensions of the matrices being multiplied */ - struct Params - { - unsigned int M{ 0 }; /**< Rows in output matrix C (and input matrix A). */ - unsigned int N{ 0 }; /**< Columns in output matrix C (and input matrix B). */ - unsigned int K{ 0 }; /**< Columns of input matrix A (= rows of input matrix B). */ - unsigned int batches{ 0 }; /**< Number of "batched" GEMMs (unique A and C, shared B). */ - unsigned int multis{ 0 }; /**< Number of "multi" GEMMs (unique A, B and C). */ - }; - - static Params extract_parameters(const ITensor *a, const ITensor *b, const ITensor *c, const GEMMInfo &gemm_info); - - /** Constructor */ - INEGEMMWrapperKernel(); - /** Prevent instances of this class from being copied */ - INEGEMMWrapperKernel(const INEGEMMWrapperKernel &) = delete; - /** Prevent instances of this class from being copied */ - INEGEMMWrapperKernel &operator=(const INEGEMMWrapperKernel &) = delete; - /** Allow instances of this class to be moved */ - INEGEMMWrapperKernel(INEGEMMWrapperKernel &&) = default; - /** Allow instances of this class to be moved */ - INEGEMMWrapperKernel &operator=(INEGEMMWrapperKernel &&) = default; - /** Initialise the kernel's input and output. - * - * @note The input and output tensor must have the same dimensions - * - * @param[in] a Input tensor (Matrix A) - * @param[in] b Input tensor (Matrix B) - * @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0. - * @param[in] alpha Scalar multiplier to apply to AB matrix product. - * @param[in] beta Scalar multiplier to apply to input C matrix before adding product. - * @param[in] gemm_info GEMM meta-data - */ - void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, const GEMMInfo &gemm_info); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -protected: - /** Called as part of configure() after _a, _b, _c and _params have been set. - * - * @param[in] alpha Scalar multiplier to apply to AB matrix product. - * @param[in] beta Scalar multiplier to apply to input C matrix before adding product. - * - * @return A 3D execution window. - */ - virtual Window configure_internal(float alpha, float beta) = 0; - - /** Run the kernel from the start to the end offset in window. - * - * @param[in] window Window to use for the iteration - * @param[in] start_offset Where to start iterating from (In Window coordinates) - * @param[in] end_offset Where to stop iterating (In Window coordinates). - * @param[in] info Info about executing thread and CPU. - */ - virtual void run_internal(const Window &window, const Coordinates &start_offset, const Coordinates &end_offset, const ThreadInfo &info) = 0; - - const ITensor *_a; - const ITensor *_b; - ITensor *_c; - Params _params; - GEMMInfo _gemm_info; - -private: - Window _window3d; - TensorShape _window_shape; -}; - -} // namespace arm_compute - -#endif /* ARM_COMPUTE_INEGEMMRAPPERKERNEL_H */ diff --git a/arm_compute/core/NEON/kernels/assembly/NEDepthwiseConvolutionAssemblyKernelWrapper.h b/arm_compute/core/NEON/kernels/assembly/NEDepthwiseConvolutionAssemblyKernelWrapper.h deleted file mode 100644 index 8a9fb82b4a..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/NEDepthwiseConvolutionAssemblyKernelWrapper.h +++ /dev/null @@ -1,88 +0,0 @@ -/* - * Copyright (c) 2019 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_ASSEMBLY_DEPTHWISE_CONVOLUTION_ASSEMBLY_WRAPPER_KERNEL_H -#define ARM_COMPUTE_ASSEMBLY_DEPTHWISE_CONVOLUTION_ASSEMBLY_WRAPPER_KERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" - -#include "arm_compute/core/NEON/kernels/convolution/depthwise/depthwise.hpp" - -namespace arm_compute -{ -// Forward declarations -class ITensor; - -/** This class is a wrapper for the depthwise convolution assembly kernels. */ -class NEDepthwiseConvolutionAssemblyKernelWrapper final : public INEKernel -{ -public: - const char *name() const override - { - return "NEDepthwiseConvolutionAssemblyKernelWrapper"; - } - - /** Default constructor */ - NEDepthwiseConvolutionAssemblyKernelWrapper() - : _kernel(nullptr) - { - } - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEDepthwiseConvolutionAssemblyKernelWrapper(const NEDepthwiseConvolutionAssemblyKernelWrapper &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEDepthwiseConvolutionAssemblyKernelWrapper &operator=(const NEDepthwiseConvolutionAssemblyKernelWrapper &) = delete; - /** Default Move Constructor. */ - NEDepthwiseConvolutionAssemblyKernelWrapper(NEDepthwiseConvolutionAssemblyKernelWrapper &&) = default; - /** Default move assignment operator */ - NEDepthwiseConvolutionAssemblyKernelWrapper &operator=(NEDepthwiseConvolutionAssemblyKernelWrapper &&) = default; - - /** Initialise the kernel's input and output. - * - * @param[in] kernel Pointer to an assembly kernel implementation. - */ - void configure(depthwise::IDepthwiseConvolution *kernel) - { - ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(kernel))); - _kernel = kernel; - Window win; - win.set(Window::DimX, Window::Dimension(0, _kernel->get_window(), 1)); - INEKernel::configure(win); - } - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override - { - ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(_kernel))); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - auto first = window.x().start(); - auto last = window.x().end(); - _kernel->run(first, last, info.thread_id); - } - -private: - depthwise::IDepthwiseConvolution *_kernel; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_ASSEMBLY_DEPTHWISE_CONVOLUTION_ASSEMBLY_WRAPPER_KERNEL_H */ diff --git a/arm_compute/core/NEON/kernels/assembly/NEGEMMAssemblyWrapperKernel.h b/arm_compute/core/NEON/kernels/assembly/NEGEMMAssemblyWrapperKernel.h deleted file mode 100644 index 0e3dd74577..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/NEGEMMAssemblyWrapperKernel.h +++ /dev/null @@ -1,121 +0,0 @@ -/* - * Copyright (c) 2018-2020 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_ASSEMBLY_GEMM_KERNEL_WRAPPER_KERNEL_H -#define ARM_COMPUTE_ASSEMBLY_GEMM_KERNEL_WRAPPER_KERNEL_H - -#include "arm_compute/core/NEON/kernels/assembly/arm_gemm_compute_iface.hpp" -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" - -#include "gemm_common.hpp" - -namespace arm_compute -{ -class ITensor; - -/** This class is a wrapper for the assembly kernels. - * - * Some kernels were written in assembly and highly optimised for specific CPUs like A53 or A55. - * This class works as a wrapper for these assembly kernels. The arm compute library creates an instance - * of NEGEMMAssemblyWrapperKernel and other auxiliary data structures to execute a single assembly kernel - * in the context of an NEFunctions. - * - * The type T is the type of the actual kernel implemented in assembly which is of type - * template<typename To, typename Tr> class GemmCommon - * - * - */ -template <typename TypeInput, typename TypeOutput> -class NEGEMMAssemblyWrapperKernel final : public INEKernel -{ -public: - /** Constructor - */ - NEGEMMAssemblyWrapperKernel() - : _kernel(nullptr), _name("NEGEMMAssemblyWrapperKernel") - { - } - - NEGEMMAssemblyWrapperKernel(NEGEMMAssemblyWrapperKernel &) = delete; - NEGEMMAssemblyWrapperKernel(NEGEMMAssemblyWrapperKernel &&) = default; - NEGEMMAssemblyWrapperKernel &operator=(NEGEMMAssemblyWrapperKernel &) = delete; - - const char *name() const override - { - return _name.c_str(); - } - - - void run(const Window &window, const ThreadInfo &info) override - { - ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(_kernel))); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - - auto win=arm_gemm::to_ndcoord(window); - - arm_gemm::ndcoord_t thread_locator { }; - - _kernel->execute(win, thread_locator, info.thread_id); - } - - // Inherited methods overridden: - void run_nd(const Window &window, const ThreadInfo &info, const Window &thread_locator) override - { - ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(_kernel))); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - - //convert between arm_compute and arm_gemm types - auto ndc_win = arm_gemm::to_ndcoord(window); - auto ndc_tlc = arm_gemm::to_ndcoord(thread_locator); - - _kernel->execute(ndc_win, ndc_tlc, info.thread_id); - } - - /** Initialise the kernel's input and output. - * - * @param[in] kernel Pointer to an assembly kernel implementation. - * @param[in] num_threads Number of concurrent threads which will execute the kernel. - */ - void configure(arm_gemm::GemmCommon<TypeInput, TypeOutput> *kernel, std::string kernel_name_tag) - { - ARM_COMPUTE_ERROR_ON_NULLPTR((reinterpret_cast<void *>(kernel))); - _kernel = kernel; - - Window win = to_window(kernel->get_window_size()); - - INEKernel::configure(win); - - if(!kernel_name_tag.empty()) - { - _name += "/" + kernel_name_tag; - } - } - -private: - arm_gemm::GemmCommon<TypeInput, TypeOutput> *_kernel; - std::string _name; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_ASSEMBLY_GEMM_KERNEL_WRAPPER_KERNEL_H */ diff --git a/arm_compute/core/NEON/kernels/assembly/arm_gemm.hpp b/arm_compute/core/NEON/kernels/assembly/arm_gemm.hpp deleted file mode 100644 index 7723224ec8..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/arm_gemm.hpp +++ /dev/null @@ -1,176 +0,0 @@ -/* - * Copyright (c) 2018-2020 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. - */ -#pragma once - -#include <memory> -#include <cstring> - -#include "arm_gemm_local.hpp" -#include "gemm_common.hpp" - -namespace arm_gemm { - -enum class GemmMethod -{ - DEFAULT, - GEMV_BATCHED, - GEMV_PRETRANSPOSED, - GEMV_NATIVE_TRANSPOSED, - GEMM_NATIVE, - GEMM_HYBRID, - GEMM_INTERLEAVED, - GEMM_INTERLEAVED_2D, - QUANTIZE_WRAPPER, - GEMM_HYBRID_QUANTIZED -}; - -struct KernelDescription -{ - GemmMethod method = GemmMethod::DEFAULT; - std::string name = ""; - bool is_default = false; - - KernelDescription(GemmMethod m, std::string n, bool d=false) : method(m), name(n), is_default(d) { } - KernelDescription() noexcept { } -}; - -struct GemmConfig -{ - GemmMethod method = GemmMethod::DEFAULT; - std::string filter = ""; - unsigned int inner_block_size = 0; - unsigned int outer_block_size = 0; - - GemmConfig(GemmMethod method) : method(method) { } - GemmConfig() { } -}; - -struct Activation -{ - enum class Type { - None, - ReLU, - BoundedReLU - }; - - Type type; - float param1; - float param2; - - Activation(Type type=Type::None, float p1=0.0f, float p2=0.0f) : type(type), param1(p1), param2(p2) { } -}; - -struct GemmArgs -{ -public: - const CPUInfo *_ci; - unsigned int _Msize; - unsigned int _Nsize; - unsigned int _Ksize; - unsigned int _nbatches; - unsigned int _nmulti; - bool _trA; - bool _trB; - Activation _act; - int _maxthreads; - bool _pretransposed_hint; - const GemmConfig *_cfg; - - GemmArgs(const CPUInfo *ci, const unsigned int M, const unsigned int N, - const unsigned int K, const unsigned int nbatches, - const unsigned int nmulti, const bool trA, const bool trB, - Activation act, const int maxthreads, - const bool pretransposed_hint, const GemmConfig *cfg=nullptr ) : - _ci(ci), _Msize(M), _Nsize(N), _Ksize(K), _nbatches(nbatches), _nmulti(nmulti), - _trA(trA), _trB(trB), _act(act), _maxthreads(maxthreads), - _pretransposed_hint(pretransposed_hint), _cfg(cfg) - { - } -}; - -struct Requantize32 -{ -public: - const int32_t *bias = nullptr; - size_t bias_multi_stride = 0; - int32_t a_offset = 0; - int32_t b_offset = 0; - int32_t c_offset = 0; - bool per_channel_requant = false; - int32_t per_layer_shift = 0; - int32_t per_layer_mul = 0; - const int32_t *per_channel_shifts = nullptr; - const int32_t *per_channel_muls = nullptr; - int32_t minval = 0; - int32_t maxval = 0; - - Requantize32() = default; - - // Constructor for per-tensor quantization - Requantize32(const int32_t *bias, size_t bias_multi_stride, - int32_t a_offset, int32_t b_offset, int32_t c_offset, - int32_t requant_shift, int32_t requant_mul, - int32_t minv, int32_t maxv) : - bias(bias), bias_multi_stride(bias_multi_stride), - a_offset(a_offset), b_offset(b_offset), c_offset(c_offset), - per_channel_requant(false), per_layer_shift(requant_shift), per_layer_mul(requant_mul), - minval(minv), maxval(maxv) - { - } - - // Constructor for per-channel quantization - Requantize32(const int32_t *bias, size_t bias_multi_stride, - int32_t a_offset, int32_t b_offset, int32_t c_offset, - const int32_t *requant_shifts, const int32_t *requant_muls, - int32_t minv, int32_t maxv) : - bias(bias), bias_multi_stride(bias_multi_stride), - a_offset(a_offset), b_offset(b_offset), c_offset(c_offset), - per_channel_requant(true), per_channel_shifts(requant_shifts), per_channel_muls(requant_muls), - minval(minv), maxval(maxv) - { - } -}; - -struct Nothing -{ -}; - -template<typename Top, typename Tret> -using UniqueGemmCommon = std::unique_ptr<GemmCommon<Top, Tret> >; - -/* Low level API calls. - * These are implemented as 'GemmArgs' versions, or with the arguments explicitly listed. */ - -/* get_gemm_method(): Given the templated types and provided parameters, - * which is the preferred method to implement this GEMM? */ -template<typename Top, typename Tret, class OutputStage = Nothing> -KernelDescription get_gemm_method(const GemmArgs &args, const OutputStage & ={}); - -template<typename Top, typename Tret, class OutputStage = Nothing> -UniqueGemmCommon<Top, Tret> gemm(const GemmArgs &args, const OutputStage & ={}); - -template<typename Top, typename Tret, class OutputStage = Nothing> -std::vector<KernelDescription> get_compatible_kernels(const GemmArgs &args, const OutputStage & ={}); - -} // namespace arm_gemm diff --git a/arm_compute/core/NEON/kernels/assembly/arm_gemm_compute_iface.hpp b/arm_compute/core/NEON/kernels/assembly/arm_gemm_compute_iface.hpp deleted file mode 100644 index 6f345c1721..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/arm_gemm_compute_iface.hpp +++ /dev/null @@ -1,121 +0,0 @@ -/* - * 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. - */ -#pragma once - -#include "arm_compute/core/Window.h" -#include "arm_compute/core/Dimensions.h" -#include "arm_compute/core/NEON/kernels/arm_gemm/ndrange.hpp" - -#include <cassert> - -/* This file contains mapping between integral types used in arm_compute and arm_gemm - * These two codebases both require a degree of separation for the sake of modularity - * so maintain their own types which represent similar information. - */ - -namespace arm_gemm { - -//we want to unify the maximum number of dimensions used beween arm_gemm and arm compute library -constexpr std::size_t ndrange_max = - arm_compute::Dimensions<unsigned int>::num_max_dimensions; - -using ndrange_t=NDRange<ndrange_max>; -using ndcoord_t=NDCoordinate<ndrange_max>; - -/* Converts an `arm_gemm::ndrange_t` to a `arm_compute::Window` - * - * As `NDRange<T>` does not not encode start positions, we specify - * the start to be zero in the produced `arm_compute::Window` - * - * @param [ndr] the `arm_gemm::ndrange_t` we wish to convert into a `arm_compute::Window` - * @returns an `arm_compute::Window` representing the same dimensional ranges as `ndr` - */ -inline arm_compute::Window to_window(const ndrange_t& ndr) { - arm_compute::Window win; - - for(unsigned int i = 0; i!=ndrange_max; ++i) { - //populate the window with the dimensions of the NDRange - win.set(i, arm_compute::Window::Dimension(0, ndr.get_size(i))); - } - - return win; -} - -/* - * Converts an `arm_gemm::ndcoord_t` to a `arm_compute::Window` - * - * @param [ndc] the `arm_gemm::ndcoord_t` we wish to convert into a `arm_compute::Window` - * @returns an `arm_compute::Window` representing the same dimensional ranges as `ndc` - */ -inline arm_compute::Window to_window(const ndcoord_t& ndc) { - arm_compute::Window win; - - for(unsigned int i = 0; i!=ndrange_max; ++i) { - const auto start = ndc.get_position(i); - const auto size = ndc.get_size(i); - const auto stop = start + size; - - //populate the window with the dimensions of the NDRange - win.set(i, arm_compute::Window::Dimension(start, stop)); - } - - return win; -} - -/** Convert an `arm_compute::Window` to an `arm_gemm::NDRange` of the same max dimensions - * - * It should be noted that `arm_compute::Window` specifies a `start()` and an `end()` - * where as `arm_gemm::ndrange_t` only has a size, as a result we store the delta between the range - * - * @param [win] the `arm_compute::Window` we want to convert to `arm_gemm::ndrange_t` - * @return the resultant ndrange_t - */ -inline ndrange_t to_ndrange(const arm_compute::Window& win) { - return { - static_cast<unsigned int>(win[0].end() - win[0].start()), - static_cast<unsigned int>(win[1].end() - win[1].start()), - static_cast<unsigned int>(win[2].end() - win[2].start()), - static_cast<unsigned int>(win[3].end() - win[3].start()), - static_cast<unsigned int>(win[4].end() - win[4].start()), - static_cast<unsigned int>(win[5].end() - win[5].start()) - }; -} - -/** Convert an `arm_compute::Window` to an `arm_gemm::NDCoord` of the same max dimensions - * - * @param [win] the `arm_compute::Window` we want to convert to `arm_gemm::ndcoord_t` - * @return the resultant ndcoord_t - */ -inline ndcoord_t to_ndcoord(const arm_compute::Window& win) { - return { - { static_cast<unsigned int>(win[0].start()), static_cast<unsigned int>(win[0].end() - win[0].start()) }, - { static_cast<unsigned int>(win[1].start()), static_cast<unsigned int>(win[1].end() - win[1].start()) }, - { static_cast<unsigned int>(win[2].start()), static_cast<unsigned int>(win[2].end() - win[2].start()) }, - { static_cast<unsigned int>(win[3].start()), static_cast<unsigned int>(win[3].end() - win[3].start()) }, - { static_cast<unsigned int>(win[4].start()), static_cast<unsigned int>(win[4].end() - win[4].start()) }, - { static_cast<unsigned int>(win[5].start()), static_cast<unsigned int>(win[5].end() - win[5].start()) } - }; -} - -} //namespace arm_gemm diff --git a/arm_compute/core/NEON/kernels/assembly/arm_gemm_local.hpp b/arm_compute/core/NEON/kernels/assembly/arm_gemm_local.hpp deleted file mode 100644 index 8d3db4adf2..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/arm_gemm_local.hpp +++ /dev/null @@ -1,37 +0,0 @@ -/* - * 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. - */ -#pragma once - -/* This file is used to configure integration-specific aspects of arm_gemm into ACL */ - -#include "arm_compute/core/CPP/CPPTypes.h" - -namespace arm_gemm -{ -using CPUModel = arm_compute::CPUModel; -using CPUInfo = arm_compute::CPUInfo; -} // namespace arm_compute - - - diff --git a/arm_compute/core/NEON/kernels/assembly/gemm_common.hpp b/arm_compute/core/NEON/kernels/assembly/gemm_common.hpp deleted file mode 100644 index ea9b524e15..0000000000 --- a/arm_compute/core/NEON/kernels/assembly/gemm_common.hpp +++ /dev/null @@ -1,201 +0,0 @@ -/* - * Copyright (c) 2017-2020 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. - */ -#pragma once - -#include "arm_compute/core/NEON/kernels/assembly/arm_gemm_compute_iface.hpp" - -#include <cstddef> -#include <cassert> - -#define UNUSED(x) (void)(x) - -namespace arm_gemm { - -// Abstract class for the GEMM/GEMV functions. -// -// GEMM implementations may be "native" (never require any input -// permutation), "pretransposed" (require permutation up-front) or require -// working space (permute as they go along). This interface should support -// all of them. - -// The real GemmCommon class is templated based on the operand and return -// type. This is an interface class which is independent of those types. -class IGemmCommon { -public: - /* Pass in the pointers to the arrays to be operated on and their - * strides. This "generic" version uses void *s, the preferred version - * is the one provided by templated GemmCommon (below) which takes - * appropriately typed pointers. If B is pretransposed (see below) then - * the settings for B here are ignored. - */ - virtual void set_arrays_generic(const void *A, const int lda, const int A_batch_stride, const int A_multi_stride, - const void *B, const int ldb, /* batches share B */ const int B_multi_stride, - void *C, const int ldc, const int C_batch_stride, const int C_multi_stride, - const void *bias, /* no row or batch stride needed */ const int bias_multi_stride) = 0; - - /** @returns an ndrange containing ranges of the compute space which can be - * broken up and parallelised over - */ - virtual ndrange_t get_window_size() const = 0; - - /* The maximum thread count is specified when the GEMM is created. Some - * implementations need to know how many threads will actually run in - * order to work properly. - * - * In some cases, after creating the GEMM the number of threads needs to - * be reduced (e.g. not enough work to split across threads). This - * method allows the number of actual threads to be run to be set (must - * be equal or lower). - * - * This has an empty default implementation, as GEMMs which don't care - * about thread count can safely ignore this. - */ - virtual void set_nthreads(int) { }; - - /* Whether this GEMM can be dynamically scheduled or not. */ - virtual bool supports_dynamic_scheduling() const { return false; } - - /** Main execute member fucntion - * @param [in] work_range specifies the range of work we want to be computed, total range defined by get_window_size() - * @param [in] thread_locator where are we inside of the thread space - * @naram [in] threadid a unique threadid - */ - virtual void execute(const ndcoord_t& work_range, const ndcoord_t& thread_locator, int threadid) = 0; - - /*** Working space interface (optional) ***/ - /* Total number of bytes of temporary working space needed. If zero, it's not necessary to call set_working_space(). */ - virtual size_t get_working_size() const { return 0; } - /* Provide working space buffer - the void * passed in must remain allocated for the duration of any execute calls. */ - virtual void set_working_space(void *) { }; - - /*** "Pretransposed" interface (optional) ***/ - /* Is this object set up for pretranspose? If so, pretranspose_array() needs to be called before execute(); */ - virtual bool B_is_pretransposed() const { return false; } - /* Does pretranspose still need to be done? */ - virtual bool B_pretranspose_required() const { return false; } - /* Total number of bytes of space needed for pretransposed arrays. */ - virtual size_t get_B_pretransposed_array_size() const { return 0; } - /* Perform pretranspose - arguments are output, input, input row stride and input multi stride. */ - /* The "real" version of this depends on the templated operand type (see below). */ - virtual void pretranspose_B_array_generic(void *, const void *, const int, const int) = 0; - /* Set pretransposed data - the void * passed in must previously have been passed to pretranspose_B_array() for the same or a similar GEMM. */ - virtual void set_pretransposed_B_data(void *) { } - - /*** "Quantized bias" interface (optional) ***/ - /* Set the bias vector for quantized GEMMs */ - virtual void set_quantized_bias(const int32_t *bias, size_t bias_multi_stride) - { - UNUSED(bias); - UNUSED(bias_multi_stride); - } - - // Destructor - virtual ~IGemmCommon() { } -}; - -/* "Real" GemmCommon class which is templated on the operand and return types. - * - * In addition to correctly typed versions of the functions that operate on - * operand and return data, this class provides a default implementation of - * 'set_arrays' to capture the provided arguments in protected class - * members, as essentially any implementation will need these. - */ -template<typename To, typename Tr> -class GemmCommon : public IGemmCommon { -protected: - const To *_Aptr=nullptr; - int _lda=0; - int _A_batch_stride=0; - int _A_multi_stride=0; - const To *_Bptr=nullptr; - int _ldb=0; - int _B_multi_stride=0; - Tr *_Cptr=nullptr; - int _ldc=0; - int _C_batch_stride=0; - int _C_multi_stride=0; - const Tr *_bias=nullptr; - int _bias_multi_stride=0; - -public: - /* Pass in the pointers to the arrays to be operated on and their - * strides (templated version with appropriate types). */ - virtual void set_arrays(const To *A, const int lda, const int A_batch_stride, const int A_multi_stride, - const To *B, const int ldb, /* batches share B */ const int B_multi_stride, - Tr *C, const int ldc, const int C_batch_stride, const int C_multi_stride, - const Tr *bias, /* no row or batch stride needed */ const int bias_multi_stride) { - _Aptr = A; - _lda = lda; - _A_batch_stride = A_batch_stride; - _A_multi_stride = A_multi_stride; - _Bptr = B; - _ldb = ldb; - _B_multi_stride = B_multi_stride; - _Cptr = C; - _ldc = ldc; - _C_batch_stride = C_batch_stride; - _C_multi_stride = C_multi_stride; - _bias = bias; - _bias_multi_stride = bias_multi_stride; - } - - /* Implementation of the void * overload which casts its arguments to the appropriate type. */ - void set_arrays_generic(const void *A, const int lda, const int A_batch_stride, const int A_multi_stride, - const void *B, const int ldb, /* batches share B */ const int B_multi_stride, - void *C, const int ldc, const int C_batch_stride, const int C_multi_stride, - const void *bias, /* no row or batch stride needed */ const int bias_multi_stride) override { - set_arrays(static_cast<const To *>(A), lda, A_batch_stride, A_multi_stride, - static_cast<const To *>(B), ldb, B_multi_stride, - static_cast<Tr *>(C), ldc, C_batch_stride, C_multi_stride, - static_cast<const Tr *>(bias), bias_multi_stride); - } - - /*** "Pretransposed" interface ***/ - - /* Perform pretranspose - the void * passed in must remain allocated for the duration of any execute calls. */ - /* Arguments are: output buffer pointer, source pointer, source row stride, source multi stride */ - virtual void pretranspose_B_array(void *, const To *, const int, const int) { }; - - /* Implementation of the void * overload which casts its arguments to the appropriate type. */ - void pretranspose_B_array_generic(void *out, const void *in, const int row_stride, const int multi_stride) override { - pretranspose_B_array(out, static_cast<const To *>(in), row_stride, multi_stride); - } -}; - -template<typename GemmKernel> -inline -int unsigned get_total_window_size(const GemmKernel& kernel) -{ - auto window=kernel.get_window_size(); - - unsigned int total = 1; - for(unsigned i = 0; i != arm_gemm::ndrange_max; ++i) - { - total *= window.get_size(i); - } - - return total; -} - -} // namespace arm_gemm |