diff options
author | Pablo Tello <pablo.tello@arm.com> | 2018-02-23 13:43:50 +0000 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | eb82fd2aa786715c3b6a941dc6d6deac4ce8e2a0 (patch) | |
tree | 42cca378eed97c07348f28e1ec708d9c7ed531ce /src/core/NEON/kernels/arm64 | |
parent | 8df6c452820719d201ee79596cde8445c2071db5 (diff) | |
download | ComputeLibrary-eb82fd2aa786715c3b6a941dc6d6deac4ce8e2a0.tar.gz |
COMPMID-881: RSH new arm_gemm interface.
Change-Id: I1e2a1a77097d8017c274af3f97eba6964f80f5fa
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/122592
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/arm64')
-rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMMAArch64Kernel.cpp | 127 | ||||
-rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp | 121 | ||||
-rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMMLowpAArch64A53Kernel.cpp | 201 | ||||
-rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMMLowpAArch64Kernel.cpp | 199 | ||||
-rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp | 198 | ||||
-rw-r--r-- | src/core/NEON/kernels/arm64/NEGEMVAArch64Kernel.cpp | 130 | ||||
-rw-r--r-- | src/core/NEON/kernels/arm64/NEHGEMMAArch64FP16Kernel.cpp | 132 |
7 files changed, 0 insertions, 1108 deletions
diff --git a/src/core/NEON/kernels/arm64/NEGEMMAArch64Kernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMAArch64Kernel.cpp deleted file mode 100644 index 0eaa9aa39b..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMMAArch64Kernel.cpp +++ /dev/null @@ -1,127 +0,0 @@ -/* - * Copyright (c) 2017 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/NEON/kernels/arm64/NEGEMMAArch64Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/AccessWindowTranspose.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/NEFixedPoint.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_sgemm_12x8.hpp" -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> -#include <tuple> - -namespace arm_compute -{ -void NEGEMMAArch64Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - // Configure kernel window - Window win = calculate_max_window(*output->info()); - - AccessWindowRectangle output_access(output->info(), 0, 0, 12, 8); - - const int input0_access_end = ceil_to_multiple(input0->info()->tensor_shape().x(), 8); - const int input1_access_end = ceil_to_multiple(input1->info()->tensor_shape().x(), 12); - - update_window_and_padding(win, - AccessWindowStatic(input0->info(), 0, 0, input0_access_end, input0->info()->tensor_shape().y()), - AccessWindowStatic(input1->info(), 0, 0, input1_access_end, input1->info()->tensor_shape().y()), - output_access); - - INEKernel::configure(win); -} - -void NEGEMMAArch64Kernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - - const int lda = _input0->info()->strides_in_bytes().y() / sizeof(float); - const int ldb = _input1->info()->strides_in_bytes().y() / sizeof(float); - const int ldc = _output->info()->strides_in_bytes().y() / sizeof(float); - - const auto in1_ptr = reinterpret_cast<const float *>(_input1->buffer()); - - const int M = std::min(_output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = _output->info()->tensor_shape().x(); - const int K = _input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(_input0, window); - Iterator out(_output, window); - - GemmInterleaved<sgemm_12x8, float, float> gemm(&info.cpu_info, M, N, K, _is_transposed_0, _is_transposed_1); - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *workspace = _workspace->buffer() + offset; - size_t workspace_size = _workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const float *>(in0.ptr()), lda, - reinterpret_cast<const float *>(in1_ptr), ldb, - reinterpret_cast<float *>(out.ptr()), ldc, - _alpha, _beta, workspace); - }, - in0, out); -} -} // namespace arm_compute diff --git a/src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp deleted file mode 100644 index 0b3212bf55..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.cpp +++ /dev/null @@ -1,121 +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. - */ -#include "arm_compute/core/NEON/kernels/arm64/NEGEMMAArch64NativeKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/AccessWindowTranspose.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/NEFixedPoint.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#include "arm_compute/core/NEON/kernels/convolution/winograd/gemm.hpp" -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> -#include <tuple> - -namespace arm_compute -{ -void NEGEMMAArch64NativeKernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, - bool is_transposed_1) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - // Configure kernel window - Window win = calculate_max_window(*output->info(), Steps(16U, 4U)); - - const int input0_access_end_x = ceil_to_multiple(input0->info()->tensor_shape().x(), 4); - const int input0_access_end_y = ceil_to_multiple(input0->info()->tensor_shape().y(), 4); - const int input1_access_end_x = ceil_to_multiple(input1->info()->tensor_shape().x(), 16); - - AccessWindowStatic input0_access(input0->info(), 0, 0, input0_access_end_x, input0_access_end_y); - AccessWindowStatic input1_access(input1->info(), 0, 0, input1_access_end_x, input1->info()->tensor_shape().y()); - AccessWindowRectangle output_access(output->info(), 0, 0, 16, 4); - update_window_and_padding(win, input0_access, input1_access, output_access); - - INEKernel::configure(win); -} - -void NEGEMMAArch64NativeKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - ARM_COMPUTE_UNUSED(info); - - const auto in1_ptr = reinterpret_cast<const float *>(_input1->buffer()); - - // Calculate row strides for each matrix - const int lda = _input0->info()->strides_in_bytes().y() / sizeof(float); - const int ldb = _input1->info()->strides_in_bytes().y() / sizeof(float); - const int ldc = _output->info()->strides_in_bytes().y() / sizeof(float); - - // Calculate matrix sizes - const int M = std::min(_input0->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int K = _input0->info()->tensor_shape().x(); - const int N = _input1->info()->tensor_shape().x(); - - // Create window (Only iterate over batches) - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - // Create Iterators - Iterator in0(_input0, window); - Iterator out(_output, window); - - // Execute GEMM - execute_window_loop(win, [&](const Coordinates & id) - { - BlockedGemm<4, 16, float, float>(reinterpret_cast<const float *>(in0.ptr()), - reinterpret_cast<const float *>(in1_ptr), - reinterpret_cast<float *>(out.ptr()), - M, K, N, - lda, ldb, ldc); - }, - in0, out); -} -} // namespace arm_compute diff --git a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64A53Kernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64A53Kernel.cpp deleted file mode 100644 index 80606dcc07..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64A53Kernel.cpp +++ /dev/null @@ -1,201 +0,0 @@ -/* - * Copyright (c) 2017 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/NEON/kernels/arm64/NEGEMMLowpAArch64A53Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_s16_12x8.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_u16_12x8.hpp" -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> - -// Enable only if compiled for AArch64-V8A targets -#ifdef ARM_COMPUTE_AARCH64_V8A - -namespace arm_compute -{ -NEGEMMLowpAArch64A53Kernel::NEGEMMLowpAArch64A53Kernel() - : _func(nullptr) -{ -} - -void gemm_interleaved_s16_12x8(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1, - const Window &window, - const ThreadInfo &info) -{ - const int lda = input0->info()->strides_in_bytes().y(); - const int ldb = input1->info()->strides_in_bytes().y(); - const int ldc = output->info()->strides_in_bytes().y() / sizeof(int32_t); - - const auto in1_ptr = reinterpret_cast<const int8_t *>(input1->buffer()); - - const int M = std::min(output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = output->info()->tensor_shape().x(); - const int K = input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(input0, window); - Iterator out(output, window); - - GemmInterleaved<gemm_s16_12x8, int8_t, int32_t> gemm(&info.cpu_info, M, N, K, is_transposed_0, is_transposed_1); - - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *_workspace = workspace->buffer() + offset; - size_t workspace_size = workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), _workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const int8_t *>(in0.ptr()), lda, - reinterpret_cast<const int8_t *>(in1_ptr), ldb, - reinterpret_cast<int32_t *>(out.ptr()), ldc, - alpha, beta, _workspace); - }, - in0, out); -} - -void gemm_interleaved_u16_12x8(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1, - const Window &window, - const ThreadInfo &info) -{ - const int lda = input0->info()->strides_in_bytes().y(); - const int ldb = input1->info()->strides_in_bytes().y(); - const int ldc = output->info()->strides_in_bytes().y() / sizeof(int32_t); - - const auto in1_ptr = reinterpret_cast<const int8_t *>(input1->buffer()); - - const int M = std::min(output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = output->info()->tensor_shape().x(); - const int K = input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(input0, window); - Iterator out(output, window); - - GemmInterleaved<gemm_u16_12x8, uint8_t, uint32_t> gemm(&info.cpu_info, M, N, K, is_transposed_0, is_transposed_1); - - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *_workspace = workspace->buffer() + offset; - size_t workspace_size = workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), _workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const uint8_t *>(in0.ptr()), lda, - reinterpret_cast<const uint8_t *>(in1_ptr), ldb, - reinterpret_cast<uint32_t *>(out.ptr()), ldc, - alpha, beta, _workspace); - }, - in0, out); -} - -void NEGEMMLowpAArch64A53Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, - bool is_transposed_1) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::S8, DataType::U8); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - switch(input0->info()->data_type()) - { - case DataType::S8: - _func = &gemm_interleaved_s16_12x8; - break; - case DataType::U8: - _func = &gemm_interleaved_u16_12x8; - break; - default: - ARM_COMPUTE_ERROR("Element size not supported"); - break; - } - - // Configure kernel window - Window win = calculate_max_window(*output->info()); - - AccessWindowRectangle output_access(output->info(), 0, 0, 12, 8); - - const int input0_access_end = ceil_to_multiple(input0->info()->tensor_shape().x(), 12); - const int input1_access_end = ceil_to_multiple(input1->info()->tensor_shape().x(), 12); - - update_window_and_padding(win, - AccessWindowStatic(input0->info(), 0, 0, input0_access_end, input0->info()->tensor_shape().y()), - AccessWindowStatic(input1->info(), 0, 0, input1_access_end, input1->info()->tensor_shape().y()), - output_access); - - INEKernel::configure(win); -} - -void NEGEMMLowpAArch64A53Kernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - ARM_COMPUTE_ERROR_ON(_func == nullptr); - - (*_func)(_input0, _input1, _output, _workspace, _alpha, _beta, _is_transposed_0, _is_transposed_1, window, info); -} -} // namespace arm_compute -#endif /* ARM_COMPUTE_AARCH64_V8A */ diff --git a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64Kernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64Kernel.cpp deleted file mode 100644 index 38f82f0407..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64Kernel.cpp +++ /dev/null @@ -1,199 +0,0 @@ -/* - * Copyright (c) 2017 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/NEON/kernels/arm64/NEGEMMLowpAArch64Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_s8_4x4.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_u8_4x4.hpp" -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> - -// Enable only if compiled for AArch64-V8A targets -#ifdef ARM_COMPUTE_AARCH64_V8A - -namespace arm_compute -{ -NEGEMMLowpAArch64Kernel::NEGEMMLowpAArch64Kernel() - : _func(nullptr) -{ -} - -void gemm_interleaved_s8(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1, const Window &window, - const ThreadInfo &info) -{ - const int lda = input0->info()->strides_in_bytes().y(); - const int ldb = input1->info()->strides_in_bytes().y(); - const int ldc = output->info()->strides_in_bytes().y() / sizeof(int32_t); - - const auto in1_ptr = reinterpret_cast<const int8_t *>(input1->buffer()); - - const int M = std::min(output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = output->info()->tensor_shape().x(); - const int K = input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(input0, window); - Iterator out(output, window); - - GemmInterleaved<gemm_s8_4x4, int8_t, int32_t> gemm(&info.cpu_info, M, N, K, is_transposed_0, is_transposed_1); - - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *_workspace = workspace->buffer() + offset; - size_t workspace_size = workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), _workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const int8_t *>(in0.ptr()), lda, - reinterpret_cast<const int8_t *>(in1_ptr), ldb, - reinterpret_cast<int32_t *>(out.ptr()), ldc, - alpha, beta, _workspace); - }, - in0, out); -} - -void gemm_interleaved_u8(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1, const Window &window, - const ThreadInfo &info) -{ - const int lda = input0->info()->strides_in_bytes().y(); - const int ldb = input1->info()->strides_in_bytes().y(); - const int ldc = output->info()->strides_in_bytes().y() / sizeof(uint32_t); - - const auto in1_ptr = reinterpret_cast<const uint8_t *>(input1->buffer()); - - const int M = std::min(output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = output->info()->tensor_shape().x(); - const int K = input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(input0, window); - Iterator out(output, window); - - GemmInterleaved<gemm_u8_4x4, uint8_t, uint32_t> gemm(&info.cpu_info, M, N, K, is_transposed_0, is_transposed_1); - - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *_workspace = workspace->buffer() + offset; - size_t workspace_size = workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), _workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const uint8_t *>(in0.ptr()), lda, - reinterpret_cast<const uint8_t *>(in1_ptr), ldb, - reinterpret_cast<uint32_t *>(out.ptr()), ldc, - alpha, beta, _workspace); - }, - in0, out); -} - -void NEGEMMLowpAArch64Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, - bool is_transposed_1) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::S8, DataType::U8); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32, DataType::U32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - switch(input0->info()->data_type()) - { - case DataType::S8: - _func = &gemm_interleaved_s8; - break; - case DataType::U8: - _func = &gemm_interleaved_u8; - break; - default: - ARM_COMPUTE_ERROR("Element size not supported"); - break; - } - - // Configure kernel window - Window win = calculate_max_window(*output->info()); - - AccessWindowRectangle output_access(output->info(), 0, 0, 4, 4); - - const int input0_access_end = ceil_to_multiple(input0->info()->tensor_shape().x(), 4); - const int input1_access_end = ceil_to_multiple(input1->info()->tensor_shape().x(), 4); - - update_window_and_padding(win, - AccessWindowStatic(input0->info(), 0, 0, input0_access_end, input0->info()->tensor_shape().y()), - AccessWindowStatic(input1->info(), 0, 0, input1_access_end, input1->info()->tensor_shape().y()), - output_access); - - INEKernel::configure(win); -} - -void NEGEMMLowpAArch64Kernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - ARM_COMPUTE_ERROR_ON(_func == nullptr); - - (*_func)(_input0, _input1, _output, _workspace, _alpha, _beta, _is_transposed_0, _is_transposed_1, window, info); -} -} // namespace arm_compute -#endif /* ARM_COMPUTE_AARCH64_V8A */ diff --git a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp deleted file mode 100644 index d4fcf5e3cb..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp +++ /dev/null @@ -1,198 +0,0 @@ -/* - * Copyright (c) 2017-2018 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/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_s8_12x8.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_u8_12x8.hpp" -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> - -// Enable only if compiled for AArch64-V8.2-A targets -#ifdef ARM_COMPUTE_AARCH64_V8_2 - -namespace -{ -using namespace arm_compute; - -Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8, DataType::U8, DataType::S8); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output) -{ - // Configure kernel window - Window win = calculate_max_window(*output); - - AccessWindowRectangle output_access(output, 0, 0, 12, 8); - - const int input0_access_end = ceil_to_multiple(input0->tensor_shape().x(), 8); - const int input1_access_end = ceil_to_multiple(input1->tensor_shape().x(), 12); - - bool window_changed = update_window_and_padding(win, - AccessWindowStatic(input0, 0, 0, input0_access_end, input0->tensor_shape().y()), - AccessWindowStatic(input1, 0, 0, input1_access_end, input1->tensor_shape().y()), - output_access); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} - -template <typename strategy, typename To, typename Tr> -void *align_workspace(GemmInterleaved<strategy, To, Tr> &gemm, const ThreadInfo &info, ITensor *ws) -{ - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *workspace = ws->buffer() + offset; - size_t workspace_size = ws->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - return workspace; -} - -template <typename strategy> -void execute_gemm(const Window &win, Iterator &in0, Iterator &in1, Iterator &out, - const ThreadInfo &info, ITensor *ws, int M, int N, int K, bool is_transposed_0, bool is_transposed_1, - int lda, int ldb, int ldc, float alpha, float beta) -{ - ARM_COMPUTE_UNUSED(M); - ARM_COMPUTE_UNUSED(N); - ARM_COMPUTE_UNUSED(K); - ARM_COMPUTE_UNUSED(is_transposed_0); - ARM_COMPUTE_UNUSED(is_transposed_1); - GemmInterleaved<strategy, typename strategy::operand_type, typename strategy::result_type> gemm(&info.cpu_info, M, N, K, is_transposed_0, is_transposed_1); - void *workspace = align_workspace(gemm, info, ws); - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const typename strategy::operand_type *>(in0.ptr()), lda, - reinterpret_cast<const typename strategy::operand_type *>(in1.ptr()), ldb, - reinterpret_cast<typename strategy::result_type *>(out.ptr()), ldc, - alpha, beta, workspace); - }, - in0, out); -} -} // namespace - -namespace arm_compute -{ -void NEGEMMLowpAArch64V8P4Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, - bool is_transposed_1) -{ - // Perform validate step - ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info())); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - // Configure kernel window - auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info()); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - INEKernel::configure(win_config.second); -} - -Status NEGEMMLowpAArch64V8P4Kernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get()).first); - - return Status{}; -} - -void NEGEMMLowpAArch64V8P4Kernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - - const int lda = _input0->info()->strides_in_bytes().y(); - const int ldb = _input1->info()->strides_in_bytes().y(); - const int ldc = _output->info()->strides_in_bytes().y() / sizeof(uint32_t); - - const int M = std::min(_output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = _output->info()->tensor_shape().x(); - const int K = _input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(_input0, window); - Iterator in1(_input1, window); - Iterator out(_output, window); - - switch(_input0->info()->data_type()) - { - case DataType::QASYMM8: - case DataType::U8: - { - execute_gemm<gemm_u8_12x8>(win, in0, in1, out, info, _workspace, M, N, K, _is_transposed_0, _is_transposed_1, lda, ldb, ldc, _alpha, _beta); - break; - } - case DataType::S8: - { - execute_gemm<gemm_s8_12x8>(win, in0, in1, out, info, _workspace, M, N, K, _is_transposed_0, _is_transposed_1, lda, ldb, ldc, _alpha, _beta); - break; - } - default: - { - ARM_COMPUTE_ERROR("Not supported."); - break; - } - } -} -} // namespace arm_compute -#endif /* ARM_COMPUTE_AARCH64_V8_2 */ diff --git a/src/core/NEON/kernels/arm64/NEGEMVAArch64Kernel.cpp b/src/core/NEON/kernels/arm64/NEGEMVAArch64Kernel.cpp deleted file mode 100644 index 163014b04f..0000000000 --- a/src/core/NEON/kernels/arm64/NEGEMVAArch64Kernel.cpp +++ /dev/null @@ -1,130 +0,0 @@ -/* - * Copyright (c) 2017-2018 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/NEON/kernels/arm64/NEGEMVAArch64Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/AccessWindowTranspose.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/NEFixedPoint.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wswitch-default" -#pragma GCC diagnostic ignored "-Weffc++" -#include "arm_compute/core/NEON/kernels/assembly/gemv_transposed.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_sgemv_trans.hpp" -#pragma GCC diagnostic pop -} // namespace arm_compute - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> -#include <tuple> - -namespace arm_compute -{ -void NEGEMVAArch64Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, bool is_transposed_1) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - // Configure kernel window - Window win = calculate_max_window(*output->info()); - - AccessWindowRectangle output_access(output->info(), 0, 0, 12, 1); - - const int input0_access_end = ceil_to_multiple(input0->info()->tensor_shape().x(), 12); - const int input1_access_end = ceil_to_multiple(input1->info()->tensor_shape().x(), 12); - - update_window_and_padding(win, - AccessWindowStatic(input0->info(), 0, 0, input0_access_end, input0->info()->tensor_shape().y()), - AccessWindowStatic(input1->info(), 0, 0, input1_access_end, input1->info()->tensor_shape().y()), - output_access); - - INEKernel::configure(win); -} - -void NEGEMVAArch64Kernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - - const int lda = _input0->info()->strides_in_bytes().y() / sizeof(sgemv_trans::operand_type); - const int ldb = _input1->info()->strides_in_bytes().y() / sizeof(sgemv_trans::operand_type); - const int ldc = _output->info()->strides_in_bytes().y() / sizeof(sgemv_trans::result_type); - - const auto in1_ptr = reinterpret_cast<const sgemv_trans::operand_type *>(_input1->buffer()); - - const int N = _output->info()->tensor_shape().x(); - const int K = _input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(_input0, window); - Iterator out(_output, window); - - GemvTransposed<sgemv_trans, sgemv_trans::operand_type, sgemv_trans::result_type> gemm(&info.cpu_info, N, K); - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *workspace = _workspace->buffer() + offset; - size_t workspace_size = _workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const sgemv_trans::operand_type *>(in0.ptr()), lda, - reinterpret_cast<const sgemv_trans::operand_type *>(in1_ptr), ldb, - reinterpret_cast<sgemv_trans::result_type *>(out.ptr()), ldc, - _alpha, _beta, workspace); - }, - in0, out); -} -} // namespace arm_compute diff --git a/src/core/NEON/kernels/arm64/NEHGEMMAArch64FP16Kernel.cpp b/src/core/NEON/kernels/arm64/NEHGEMMAArch64FP16Kernel.cpp deleted file mode 100644 index e84409cfd2..0000000000 --- a/src/core/NEON/kernels/arm64/NEHGEMMAArch64FP16Kernel.cpp +++ /dev/null @@ -1,132 +0,0 @@ -/* - * Copyright (c) 2017-2018 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/NEON/kernels/arm64/NEHGEMMAArch64FP16Kernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/AccessWindowTranspose.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/NEFixedPoint.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "support/ToolchainSupport.h" - -namespace arm_compute -{ -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wswitch-default" -#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp" -#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_hgemm_24x8.hpp" -#pragma GCC diagnostic pop -} // namespace arm_compute - -namespace arm_compute -{ -void NEHGEMMAArch64FP16Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0, - bool is_transposed_1) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F16); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); - - _input0 = input0; - _input1 = input1; - _output = output; - _workspace = workspace; - _alpha = alpha; - _beta = beta; - _is_transposed_0 = is_transposed_0; - _is_transposed_1 = is_transposed_1; - - // Configure kernel window - Window win = calculate_max_window(*output->info()); - - AccessWindowRectangle output_access(output->info(), 0, 0, 24, 8); - - const int input0_access_end = ceil_to_multiple(input0->info()->tensor_shape().x(), 8); - const int input1_access_end = ceil_to_multiple(input1->info()->tensor_shape().x(), 24); - - update_window_and_padding(win, - AccessWindowStatic(input0->info(), 0, 0, input0_access_end, input0->info()->tensor_shape().y()), - AccessWindowStatic(input1->info(), 0, 0, input1_access_end, input1->info()->tensor_shape().y()), - output_access); - - INEKernel::configure(win); -} - -void NEHGEMMAArch64FP16Kernel::run(const Window &window, const ThreadInfo &info) -{ -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - - const int lda = _input0->info()->strides_in_bytes().y() / sizeof(hgemm_24x8::operand_type); - const int ldb = _input1->info()->strides_in_bytes().y() / sizeof(hgemm_24x8::operand_type); - const int ldc = _output->info()->strides_in_bytes().y() / sizeof(hgemm_24x8::result_type); - - const auto in1_ptr = reinterpret_cast<const hgemm_24x8::operand_type *>(_input1->buffer()); - - const int M = std::min(_output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start(); - const int N = _output->info()->tensor_shape().x(); - const int K = _input0->info()->tensor_shape().x(); - - // Only iterate over batches - Window win(window); - win.set(0, Window::Dimension(0, 1, 1)); - win.set(1, Window::Dimension(0, 1, 1)); - - Iterator in0(_input0, window); - Iterator out(_output, window); - - GemmInterleaved<hgemm_24x8, hgemm_24x8::operand_type, hgemm_24x8::result_type> gemm(&info.cpu_info, M, N, K, _is_transposed_0, _is_transposed_1); - constexpr size_t alignment = 4096; - const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id; - void *workspace = _workspace->buffer() + offset; - size_t workspace_size = _workspace->info()->total_size(); - - if(support::cpp11::align(alignment, gemm.get_working_size(), workspace, workspace_size) == nullptr) - { - ARM_COMPUTE_ERROR("Not enough space to align buffer!"); - } - - execute_window_loop(win, [&](const Coordinates & id) - { - gemm.execute(reinterpret_cast<const hgemm_24x8::operand_type *>(in0.ptr()), lda, - reinterpret_cast<const hgemm_24x8::operand_type *>(in1_ptr), ldb, - reinterpret_cast<hgemm_24x8::result_type *>(out.ptr()), ldc, - _alpha, 1.f, workspace); - }, - in0, out); -#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - ARM_COMPUTE_UNUSED(window); - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR("Recompile the library with arch=arm64-v8.2-a to enable support for FP16."); -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -} -} // namespace arm_compute |