diff options
Diffstat (limited to 'src/cpu/kernels/mul/generic/neon/fp16.cpp')
-rw-r--r-- | src/cpu/kernels/mul/generic/neon/fp16.cpp | 145 |
1 files changed, 145 insertions, 0 deletions
diff --git a/src/cpu/kernels/mul/generic/neon/fp16.cpp b/src/cpu/kernels/mul/generic/neon/fp16.cpp new file mode 100644 index 0000000000..920f298527 --- /dev/null +++ b/src/cpu/kernels/mul/generic/neon/fp16.cpp @@ -0,0 +1,145 @@ +/* + * Copyright (c) 2023 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. + */ +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) + +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/TensorInfo.h" + +#include "src/core/CPP/Validate.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/cpu/CpuTypes.h" + +namespace arm_compute +{ +namespace cpu +{ +void mul_F16_F16_F16(const ITensor *src1, const ITensor *src2, ITensor *out, const Window &window, float scale) +{ + // Create input windows + Window input1_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape()); + Window input2_win = window.broadcast_if_dimension_le_one(src2->info()->tensor_shape()); + + // Clear X Dimension on execution window as we handle manually + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + 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()); + const bool is_broadcast_across_x = src1->info()->tensor_shape().x() != src2->info()->tensor_shape().x(); + if (is_broadcast_across_x) + { + const bool is_broadcast_input_2 = input2_win.x().step() == 0; + Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win; + Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win; + const ITensor *broadcast_tensor = is_broadcast_input_2 ? src2 : src1; + const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src2 : src1; + // Clear X Dimension on execution window as we handle manually + non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator broadcast_input(broadcast_tensor, broadcast_win); + Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win); + Iterator dst(out, win); + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto non_broadcast_input_ptr = reinterpret_cast<const float16_t *>(non_broadcast_input.ptr()); + const auto output_ptr = reinterpret_cast<float16_t *>(dst.ptr()); + const auto broadcast_value = *reinterpret_cast<const float16_t *>(broadcast_input.ptr()); + const float16x8x2_t broadcast_value_vec = {{ + vdupq_n_f16(broadcast_value), + vdupq_n_f16(broadcast_value), + }}; + const auto scale_vec = vdupq_n_f16(scale); + // Compute window_step_x elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const float16x8x2_t non_broadcast_v = {{ + vld1q_f16(non_broadcast_input_ptr + x), + vld1q_f16(non_broadcast_input_ptr + x + 8), + }}; + const float16x8x2_t result = {{ + vmulq_f16(vmulq_f16(broadcast_value_vec.val[0], non_broadcast_v.val[0]), scale_vec), + vmulq_f16(vmulq_f16(broadcast_value_vec.val[1], non_broadcast_v.val[1]), scale_vec), + }}; + vst1q_f16(output_ptr + x, result.val[0]); + vst1q_f16(output_ptr + x + 8, result.val[1]); + } + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto non_broadcast_v = *(non_broadcast_input_ptr + x); + *(output_ptr + x) = broadcast_value * non_broadcast_v * scale; + } + }, + broadcast_input, non_broadcast_input, dst); + } + else + { + input1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + input2_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + Iterator input1(src1, input1_win); + Iterator input2(src2, input2_win); + Iterator dst(out, win); + execute_window_loop( + win, + [&](const Coordinates &) + { + const auto input1_ptr = reinterpret_cast<const float16_t *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const float16_t *>(input2.ptr()); + const auto output_ptr = reinterpret_cast<float16_t *>(dst.ptr()); + // Compute window_step_x elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const float16x8x2_t ta1 = {{ + vld1q_f16(input1_ptr + x), + vld1q_f16(input1_ptr + x + 8), + }}; + const float16x8x2_t ta2 = {{ + vld1q_f16(input2_ptr + x), + vld1q_f16(input2_ptr + x + 8), + }}; + const float16x8_t scale_vec = vdupq_n_f16(scale); + const float16x8x2_t result = {{ + vmulq_f16(vmulq_f16(ta1.val[0], ta2.val[0]), scale_vec), + vmulq_f16(vmulq_f16(ta1.val[1], ta2.val[1]), scale_vec), + }}; + vst1q_f16(output_ptr + x, result.val[0]); + vst1q_f16(output_ptr + x + 8, result.val[1]); + } + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const auto ta1 = *(input1_ptr + x); + const auto ta2 = *(input2_ptr + x); + *(output_ptr + x) = ta1 * ta2 * scale; + } + }, + input1, input2, dst); + } +} +} // namespace cpu +} // namespace arm_compute +#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ |