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Diffstat (limited to 'src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp')
-rw-r--r--src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp200
1 files changed, 0 insertions, 200 deletions
diff --git a/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp b/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp
deleted file mode 100644
index da0f7b135e..0000000000
--- a/src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.cpp
+++ /dev/null
@@ -1,200 +0,0 @@
-/*
- * Copyright (c) 2016-2021 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 "src/core/cpu/kernels/CpuGemmMatrixAdditionKernel.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "src/core/CPP/Validate.h"
-#include "src/core/NEON/NEFixedPoint.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-#include <arm_neon.h>
-
-namespace arm_compute
-{
-namespace cpu
-{
-namespace kernels
-{
-namespace
-{
-void matrix_addition_f32(const ITensor *src, ITensor *dst, const Window &window, float beta)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
- const float32x4_t beta_f32 = vdupq_n_f32(beta);
-
- constexpr int window_step_x = 16;
- const auto window_start_x = static_cast<int>(window.x().start());
- const auto window_end_x = static_cast<int>(window.x().end());
-
- Window win = window.collapse_if_possible(window, Window::DimZ);
- win.set(Window::DimX, Window::Dimension(0, 1, 1));
-
- Iterator in(src, win);
- Iterator out(dst, win);
-
- execute_window_loop(win, [&](const Coordinates &)
- {
- const auto in_ptr = reinterpret_cast<const float *>(in.ptr());
- const auto out_ptr = reinterpret_cast<float *>(out.ptr());
-
- int x = window_start_x;
- for(; x < (window_end_x - window_step_x); x += window_step_x)
- {
- float32x4x4_t alpha_ab = vld4q_f32(out_ptr + x);
- const float32x4x4_t c = vld4q_f32(in_ptr + x);
-
- // Multiply matrix C by its weight and accumulate
- alpha_ab.val[0] = vmlaq_f32(alpha_ab.val[0], c.val[0], beta_f32);
- alpha_ab.val[1] = vmlaq_f32(alpha_ab.val[1], c.val[1], beta_f32);
- alpha_ab.val[2] = vmlaq_f32(alpha_ab.val[2], c.val[2], beta_f32);
- alpha_ab.val[3] = vmlaq_f32(alpha_ab.val[3], c.val[3], beta_f32);
-
- vst4q_f32(out_ptr + x, alpha_ab);
- }
-
- // Left-over loop
- for(; x < window_end_x; ++x)
- {
- *(out_ptr + x) += *(in_ptr + x) * beta;
- }
- },
- in, out);
-}
-
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-void matrix_addition_f16(const ITensor *src, ITensor *dst, const Window &window, float beta)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
- const float16x8_t beta_f16 = vdupq_n_f16(beta);
-
- constexpr int window_step_x = 16;
- const auto window_start_x = static_cast<int>(window.x().start());
- const auto window_end_x = static_cast<int>(window.x().end());
-
- Window win = window.collapse_if_possible(window, Window::DimZ);
- win.set(Window::DimX, Window::Dimension(0, 1, 1));
-
- Iterator in(src, win);
- Iterator out(dst, win);
-
- execute_window_loop(win, [&](const Coordinates &)
- {
- const auto in_ptr = reinterpret_cast<const float16_t *>(in.ptr());
- const auto out_ptr = reinterpret_cast<float16_t *>(out.ptr());
-
- int x = window_start_x;
- for(; x < (window_end_x - window_step_x); x += window_step_x)
- {
- float16x8x2_t alpha_ab = vld2q_f16(out_ptr + x);
- const float16x8x2_t c = vld2q_f16(in_ptr + x);
- // Multiply matrix C by its weight and accumulate
- alpha_ab.val[0] = vaddq_f16(alpha_ab.val[0], vmulq_f16(c.val[0], beta_f16));
- alpha_ab.val[1] = vaddq_f16(alpha_ab.val[1], vmulq_f16(c.val[1], beta_f16));
-
- vst2q_f16(out_ptr + x, alpha_ab);
- }
-
- // Left-over loop
- for(; x < window_end_x; ++x)
- {
- *(out_ptr + x) += *(in_ptr + x) * static_cast<float16_t>(beta);
- }
- },
- in, out);
-}
-#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
-
-} // namespace
-
-void CpuGemmMatrixAdditionKernel::configure(const ITensorInfo *src, ITensorInfo *dst, float beta)
-{
- ARM_COMPUTE_UNUSED(dst);
- ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
-
- // Perform validation step
- ARM_COMPUTE_ERROR_THROW_ON(CpuGemmMatrixAdditionKernel::validate(src, dst, beta));
-
- _beta = beta;
- switch(src->data_type())
- {
- case DataType::F32:
- _func = &matrix_addition_f32;
- break;
- case DataType::F16:
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
- _func = &matrix_addition_f16;
- break;
-#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
- default:
- ARM_COMPUTE_ERROR("Data type not supported");
- break;
- }
-
- // Configure kernel window
- Window win = calculate_max_window(*src, Steps());
- ICPPKernel::configure(win);
-}
-
-Status CpuGemmMatrixAdditionKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, float beta)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
- ARM_COMPUTE_UNUSED(beta);
-
- ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
-
- if(dst->total_size() > 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
- }
- return Status{};
-}
-
-void CpuGemmMatrixAdditionKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
-{
- ARM_COMPUTE_UNUSED(info);
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
- ARM_COMPUTE_ERROR_ON(tensors.empty());
-
- const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC);
- ITensor *dst = tensors.get_tensor(TensorType::ACL_DST);
-
- if(_beta != 0.0f)
- {
- (*_func)(src, dst, window, _beta);
- }
-}
-
-const char *CpuGemmMatrixAdditionKernel::name() const
-{
- return "CpuGemmMatrixAdditionKernel";
-}
-} // namespace kernels
-} // namespace cpu
-} // namespace arm_compute
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-17 07:36:58 +0000