diff options
Diffstat (limited to 'src/cpu/kernels/elementwise_binary/generic/sve2/impl.h')
| -rw-r--r-- | src/cpu/kernels/elementwise_binary/generic/sve2/impl.h | 393 |
1 files changed, 393 insertions, 0 deletions
diff --git a/src/cpu/kernels/elementwise_binary/generic/sve2/impl.h b/src/cpu/kernels/elementwise_binary/generic/sve2/impl.h new file mode 100644 index 0000000000..7c6015d379 --- /dev/null +++ b/src/cpu/kernels/elementwise_binary/generic/sve2/impl.h @@ -0,0 +1,393 @@ +/* + * Copyright (c) 2021-2022 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 SRC_CORE_SVE_KERNELS_ELEMENTWISE_QUANTIZED_LIST_H +#define SRC_CORE_SVE_KERNELS_ELEMENTWISE_QUANTIZED_LIST_H + +#include "src/cpu/kernels/elementwise_binary/generic/sve/impl.h" +namespace arm_compute +{ +namespace cpu +{ +using namespace arm_compute::wrapper; + +inline svfloat32x4_t load_quantized(const int8_t *ptr, svbool_t pg, const svint32_t &offset, const svfloat32_t &scale) +{ + auto x = svld1(pg, ptr); + + const auto widened = svcreate4(svmovlb(svmovlb(x)), svmovlt(svmovlb(x)), svmovlb(svmovlt(x)), svmovlt(svmovlt(x))); + + pg = svptrue_b8(); + + return svcreate4(svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svget4(widened, 0), offset)), scale), + svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svget4(widened, 1), offset)), scale), + svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svget4(widened, 2), offset)), scale), + svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svget4(widened, 3), offset)), scale)); +} + +inline svfloat32x4_t load_quantized(const uint8_t *ptr, svbool_t pg, const svint32_t &offset, const svfloat32_t &scale) +{ + auto x = svld1(pg, ptr); + + //vprint(x); + + const auto widened = svcreate4(svmovlb(svmovlb(x)), svmovlt(svmovlb(x)), svmovlb(svmovlt(x)), svmovlt(svmovlt(x))); + + pg = svptrue_b8(); + + return svcreate4(svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svreinterpret_s32(svget4(widened, 0)), offset)), scale), + svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svreinterpret_s32(svget4(widened, 1)), offset)), scale), + svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svreinterpret_s32(svget4(widened, 2)), offset)), scale), + svmul_z(pg, svcvt_f32_z(pg, svsub_z(pg, svreinterpret_s32(svget4(widened, 3)), offset)), scale)); +} + +inline void +store_quantized(uint8_t *ptr, svbool_t pg, svfloat32x4_t data, const svint32_t &offset, const svfloat32_t &inv_scale) +{ + const auto quantized = + svcreate4(svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 0), inv_scale))), offset), + svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 1), inv_scale))), offset), + svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 2), inv_scale))), offset), + svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 3), inv_scale))), offset)); + + const auto narrowed_bottom = svqxtunt(svqxtunb(svget4(quantized, 0)), svget4(quantized, 1)); + const auto narrowed_top = svqxtunt(svqxtunb(svget4(quantized, 2)), svget4(quantized, 3)); + const auto narrowed = svqxtnt(svqxtnb(narrowed_bottom), narrowed_top); + svst1(pg, ptr, narrowed); +} + +inline void +store_quantized(int8_t *ptr, svbool_t pg, svfloat32x4_t data, const svint32_t &offset, const svfloat32_t &inv_scale) +{ + const auto quantized = + svcreate4(svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 0), inv_scale))), offset), + svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 1), inv_scale))), offset), + svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 2), inv_scale))), offset), + svadd_z(pg, svcvt_s32_z(pg, svrinta_z(pg, svmul_z(pg, svget4(data, 3), inv_scale))), offset)); + + const auto narrowed_bottom = svqxtnt(svqxtnb(svget4(quantized, 0)), svget4(quantized, 1)); + const auto narrowed_top = svqxtnt(svqxtnb(svget4(quantized, 2)), svget4(quantized, 3)); + const auto narrowed = svqxtnt(svqxtnb(narrowed_bottom), narrowed_top); + + svst1(pg, ptr, narrowed); +} + +template <typename ScalarType> +void elementwise_arithmetic_quantized_op( + const ITensor *in1, const ITensor *in2, ITensor *out, ArithmeticOperation op, const Window &window) +{ + const auto all_true_pg = wrapper::svptrue<ScalarType>(); + + // Create input windows + Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape()); + Window input2_win = window.broadcast_if_dimension_le_one(in2->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)); + + 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 = in1->info()->tensor_shape().x() != in2->info()->tensor_shape().x(); + + const auto output_voffset = svdup_n(out->info()->quantization_info().uniform().offset); + const auto output_vscale = svdup_n(1.f / out->info()->quantization_info().uniform().scale); + + 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 ? in2 : in1; + const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1; + + const auto non_broadcast_qinfo = + is_broadcast_input_2 ? in1->info()->quantization_info() : in2->info()->quantization_info(); + const auto broadcast_qinfo = + is_broadcast_input_2 ? in2->info()->quantization_info() : in1->info()->quantization_info(); + + const auto non_broadcast_voffset = svdup_n(non_broadcast_qinfo.uniform().offset); + const auto non_broadcast_vscale = svdup_n(non_broadcast_qinfo.uniform().scale); + + // 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 output(out, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); + const auto non_broadcast_input_ptr = reinterpret_cast<const ScalarType *>(non_broadcast_input.ptr()); + const ScalarType broadcast_value = *reinterpret_cast<const ScalarType *>(broadcast_input.ptr()); + const float broadcast_value_f = + Qasymm8QuantizationHelper<ScalarType>::dequantize(broadcast_value, broadcast_qinfo); + const auto in2 = svcreate4(svdup_n(broadcast_value_f), svdup_n(broadcast_value_f), + svdup_n(broadcast_value_f), svdup_n(broadcast_value_f)); + + int x = window_start_x; + + svbool_t pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + do + { + const auto in1 = + load_quantized(non_broadcast_input_ptr + x, pg, non_broadcast_voffset, non_broadcast_vscale); + + svfloat32x4_t result{}; + + if (!is_broadcast_input_2) + { + result = + svcreate4(elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in2, 0), svget4(in1, 0), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in2, 1), svget4(in1, 1), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in2, 2), svget4(in1, 2), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in2, 3), svget4(in1, 3), op)); + } + else + { + result = + svcreate4(elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 0), svget4(in2, 0), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 1), svget4(in2, 1), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 2), svget4(in2, 2), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 3), svget4(in2, 3), op)); + } + + store_quantized(output_ptr + x, pg, result, output_voffset, output_vscale); + + x += wrapper::svcnt<ScalarType>(); + pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + } while (svptest_any(all_true_pg, pg)); + }, + broadcast_input, non_broadcast_input, output); + } + else + { + // Clear X Dimension on execution window as we handle manually + input1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + input2_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator input1(in1, input1_win); + Iterator input2(in2, input2_win); + Iterator output(out, win); + + const auto in1_voffset = svdup_n(in1->info()->quantization_info().uniform().offset); + const auto in1_vscale = svdup_n(in1->info()->quantization_info().uniform().scale); + + const auto in2_voffset = svdup_n(in2->info()->quantization_info().uniform().offset); + const auto in2_vscale = svdup_n(in2->info()->quantization_info().uniform().scale); + + execute_window_loop( + win, + [&](const Coordinates &) + { + auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); + const auto input1_ptr = reinterpret_cast<const ScalarType *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const ScalarType *>(input2.ptr()); + + int x = window_start_x; + + svbool_t pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + do + { + const auto in1 = load_quantized(input1_ptr + x, pg, in1_voffset, in1_vscale); + const auto in2 = load_quantized(input2_ptr + x, pg, in2_voffset, in2_vscale); + + const auto result = + svcreate4(elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 0), svget4(in2, 0), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 1), svget4(in2, 1), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 2), svget4(in2, 2), op), + elementwise_arithmetic_op<svfloat32_t>(pg, svget4(in1, 3), svget4(in2, 3), op)); + + store_quantized(output_ptr + x, pg, result, output_voffset, output_vscale); + + x += wrapper::svcnt<ScalarType>(); + pg = wrapper::svwhilelt<ScalarType>(x, window_end_x); + } while (svptest_any(all_true_pg, pg)); + }, + input1, input2, output); + } +} + +template <typename InputScalarType, typename OutputScalarType = uint8_t> +void elementwise_comparison_quantized_op( + const ITensor *in1, const ITensor *in2, ITensor *out, ComparisonOperation op, const Window &window) +{ + static_assert(sizeof(InputScalarType) >= sizeof(OutputScalarType), + "input data type's width should be equal to or greater than output data type's width"); + + using OutputVectorType = typename wrapper::traits::sve_vector<OutputScalarType>::type; + const auto all_true_pg = wrapper::svptrue<InputScalarType>(); + + // Create input windows + Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape()); + Window input2_win = window.broadcast_if_dimension_le_one(in2->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)); + + 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 = in1->info()->tensor_shape().x() != in2->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 ? in2 : in1; + const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1; + + const auto non_broadcast_qinfo = + is_broadcast_input_2 ? in1->info()->quantization_info() : in2->info()->quantization_info(); + const auto broadcast_qinfo = + is_broadcast_input_2 ? in2->info()->quantization_info() : in1->info()->quantization_info(); + + const auto non_broadcast_voffset = svdup_n(non_broadcast_qinfo.uniform().offset); + const auto non_broadcast_vscale = svdup_n(non_broadcast_qinfo.uniform().scale); + + // 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 output(out, win); + + execute_window_loop( + win, + [&](const Coordinates &) + { + auto output_ptr = reinterpret_cast<OutputScalarType *>(output.ptr()); + const auto non_broadcast_input_ptr = + reinterpret_cast<const InputScalarType *>(non_broadcast_input.ptr()); + const InputScalarType broadcast_value = + *reinterpret_cast<const InputScalarType *>(broadcast_input.ptr()); + const float broadcast_value_f = + Qasymm8QuantizationHelper<InputScalarType>::dequantize(broadcast_value, broadcast_qinfo); + const auto in2 = svcreate4(svdup_n(broadcast_value_f), svdup_n(broadcast_value_f), + svdup_n(broadcast_value_f), svdup_n(broadcast_value_f)); + + int x = window_start_x; + + svbool_t pg = wrapper::svwhilelt<InputScalarType>(x, window_end_x); + do + { + const auto in1 = + load_quantized(non_broadcast_input_ptr + x, pg, non_broadcast_voffset, non_broadcast_vscale); + + svuint8x4_t result{}; + + if (!is_broadcast_input_2) + { + result = svcreate4(elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in2, 0), + svget4(in1, 0), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in2, 1), + svget4(in1, 1), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in2, 2), + svget4(in1, 2), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>( + pg, svget4(in2, 3), svget4(in1, 3), op)); + } + else + { + result = svcreate4(elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 0), + svget4(in2, 0), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 1), + svget4(in2, 1), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 2), + svget4(in2, 2), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>( + pg, svget4(in1, 3), svget4(in2, 3), op)); + } + + const auto zipped_bottom = svzip1(svget4(result, 0), svget4(result, 1)); + const auto zipped_top = svzip1(svget4(result, 2), svget4(result, 3)); + const auto zipped = svzip1(zipped_bottom, zipped_top); + svst1(pg, output_ptr + x, zipped); + + x += wrapper::svcnt<InputScalarType>(); + pg = wrapper::svwhilelt<InputScalarType>(x, window_end_x); + } while (svptest_any(all_true_pg, pg)); + }, + broadcast_input, non_broadcast_input, output); + } + else + { + // Clear X Dimension on execution window as we handle manually + input1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + input2_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator input1(in1, input1_win); + Iterator input2(in2, input2_win); + Iterator output(out, win); + + const auto in1_voffset = svdup_n(in1->info()->quantization_info().uniform().offset); + const auto in1_vscale = svdup_n(in1->info()->quantization_info().uniform().scale); + + const auto in2_voffset = svdup_n(in2->info()->quantization_info().uniform().offset); + const auto in2_vscale = svdup_n(in2->info()->quantization_info().uniform().scale); + + execute_window_loop( + win, + [&](const Coordinates &) + { + auto output_ptr = reinterpret_cast<OutputScalarType *>(output.ptr()); + const auto input1_ptr = reinterpret_cast<const InputScalarType *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const InputScalarType *>(input2.ptr()); + + int x = window_start_x; + + svbool_t pg = wrapper::svwhilelt<InputScalarType>(x, window_end_x); + do + { + const auto in1 = load_quantized(input1_ptr + x, pg, in1_voffset, in1_vscale); + const auto in2 = load_quantized(input2_ptr + x, pg, in2_voffset, in2_vscale); + const auto result = + svcreate4(elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 0), + svget4(in2, 0), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 1), + svget4(in2, 1), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 2), + svget4(in2, 2), op), + elementwise_comparison_op<svfloat32_t, OutputVectorType>(pg, svget4(in1, 3), + svget4(in2, 3), op)); + + const auto zipped_bottom = svzip1(svget4(result, 0), svget4(result, 1)); + const auto zipped_top = svzip1(svget4(result, 2), svget4(result, 3)); + const auto zipped = svzip1(zipped_bottom, zipped_top); + svst1(pg, output_ptr + x, zipped); + + x += wrapper::svcnt<InputScalarType>(); + pg = wrapper::svwhilelt<InputScalarType>(x, window_end_x); + } while (svptest_any(all_true_pg, pg)); + }, + input1, input2, output); + } +} +} // namespace cpu +} // namespace arm_compute + +#endif /* SRC_CORE_SVE_KERNELS_ELEMENTWISE_QUANTIZED_LIST_H */ |