| /* |
| * 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. |
| */ |
| #include "src/core/NEON/kernels/NELogicalKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/common/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include <arm_neon.h> |
| |
| namespace arm_compute |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| static const uint8x8_t c0_x8 = vdup_n_u8(0); |
| static const uint8x16_t c0_x16 = vdupq_n_u8(0); |
| static const uint8x8_t c1_x8 = vdup_n_u8(1); |
| static const uint8x16_t c1_x16 = vdupq_n_u8(1); |
| static const int step = 16; |
| static const int half_step = step / 2; |
| |
| void neon_logical_and(const uint8_t *src0, const uint8_t *src1, uint8_t *dst, int len) |
| { |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src0); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src1); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(dst); |
| ARM_COMPUTE_ASSERT(len >= 0); |
| |
| for(; len >= step; len -= step) |
| { |
| vst1q_u8(dst, vandq_u8(vminq_u8(vld1q_u8(src0), c1_x16), vminq_u8(vld1q_u8(src1), c1_x16))); |
| src0 += step; |
| src1 += step; |
| dst += step; |
| } |
| |
| for(; len >= half_step; len -= half_step) |
| { |
| vst1_u8(dst, vand_u8(vmin_u8(vld1_u8(src0), c1_x8), vmin_u8(vld1_u8(src1), c1_x8))); |
| src0 += half_step; |
| src1 += half_step; |
| dst += half_step; |
| } |
| |
| for(; len > 0; --len) |
| { |
| *dst = (*src0) && (*src1); |
| ++src0; |
| ++src1; |
| ++dst; |
| } |
| } |
| |
| void neon_logical_and_broadcast(const uint8_t *src, uint8_t broadcast_val, uint8_t *dst, int len) |
| { |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(dst); |
| ARM_COMPUTE_ASSERT(len >= 0); |
| |
| const auto broadcast_val_clamped_s = std::min<uint8_t>(broadcast_val, 1); |
| const auto broadcast_val_clamped_x16 = vdupq_n_u8(broadcast_val_clamped_s); |
| const auto broadcast_val_clamped_x8 = vdup_n_u8(broadcast_val_clamped_s); |
| |
| for(; len >= step; len -= step) |
| { |
| vst1q_u8(dst, vandq_u8(vminq_u8(vld1q_u8(src), c1_x16), broadcast_val_clamped_x16)); |
| src += step; |
| dst += step; |
| } |
| |
| for(; len >= half_step; len -= half_step) |
| { |
| vst1_u8(dst, vand_u8(vmin_u8(vld1_u8(src), c1_x8), broadcast_val_clamped_x8)); |
| src += half_step; |
| dst += half_step; |
| } |
| |
| for(; len > 0; --len) |
| { |
| *dst = (*src) && broadcast_val_clamped_s; |
| ++src; |
| ++dst; |
| } |
| } |
| |
| void neon_logical_or(const uint8_t *src0, const uint8_t *src1, uint8_t *dst, int len) |
| { |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src0); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src1); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(dst); |
| ARM_COMPUTE_ASSERT(len >= 0); |
| |
| for(; len >= step; len -= step) |
| { |
| vst1q_u8(dst, vorrq_u8(vminq_u8(vld1q_u8(src0), c1_x16), vminq_u8(vld1q_u8(src1), c1_x16))); |
| src0 += step; |
| src1 += step; |
| dst += step; |
| } |
| |
| for(; len >= half_step; len -= half_step) |
| { |
| vst1_u8(dst, vorr_u8(vmin_u8(vld1_u8(src0), c1_x8), vmin_u8(vld1_u8(src1), c1_x8))); |
| src0 += half_step; |
| src1 += half_step; |
| dst += half_step; |
| } |
| |
| for(; len > 0; --len) |
| { |
| *dst = (*src0) || (*src1); |
| ++src0; |
| ++src1; |
| ++dst; |
| } |
| } |
| |
| void neon_logical_or_broadcast(const uint8_t *src, uint8_t broadcast_val, uint8_t *dst, int len) |
| { |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(dst); |
| ARM_COMPUTE_ASSERT(len >= 0); |
| |
| const auto broadcast_val_clamped_s = std::min<uint8_t>(broadcast_val, 1); |
| const auto broadcast_val_clamped_x16 = vdupq_n_u8(broadcast_val_clamped_s); |
| const auto broadcast_val_clamped_x8 = vdup_n_u8(broadcast_val_clamped_s); |
| |
| for(; len >= step; len -= step) |
| { |
| vst1q_u8(dst, vorrq_u8(vminq_u8(vld1q_u8(src), c1_x16), broadcast_val_clamped_x16)); |
| src += step; |
| dst += step; |
| } |
| |
| for(; len >= half_step; len -= half_step) |
| { |
| vst1_u8(dst, vorr_u8(vmin_u8(vld1_u8(src), c1_x8), broadcast_val_clamped_x8)); |
| src += half_step; |
| dst += half_step; |
| } |
| |
| for(; len > 0; --len) |
| { |
| *dst = (*src) || broadcast_val_clamped_s; |
| ++src; |
| ++dst; |
| } |
| } |
| |
| void neon_logical_not(const uint8_t *src, uint8_t *dst, int len) |
| { |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(src); |
| ARM_COMPUTE_ASSERT_NOT_NULLPTR(dst); |
| ARM_COMPUTE_ASSERT(len >= 0); |
| |
| for(; len >= step; len -= step) |
| { |
| vst1q_u8(dst, vbslq_u8(vceqq_u8(vld1q_u8(src), c0_x16), c1_x16, c0_x16)); |
| src += step; |
| dst += step; |
| } |
| |
| for(; len >= half_step; len -= half_step) |
| { |
| vst1_u8(dst, vbsl_u8(vceq_u8(vld1_u8(src), c0_x8), c1_x8, c0_x8)); |
| src += half_step; |
| dst += half_step; |
| } |
| |
| for(; len > 0; --len) |
| { |
| *dst = !(*src); |
| ++src; |
| ++dst; |
| } |
| } |
| |
| void run_unary(const Window &window, const ITensor *src, ITensor *dst) |
| { |
| Window win{ window }; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| const auto len = static_cast<int>(window.x().end()) - static_cast<int>(window.x().start()); |
| |
| Iterator in(src, win); |
| Iterator out(dst, win); |
| |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| neon_logical_not(in.ptr(), out.ptr(), len); |
| }, |
| in, out); |
| } |
| |
| void run_binary(const Window &window, const ITensor *src0, const ITensor *src1, ITensor *dst, LogicalOperation op) |
| { |
| Window src0_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape()); |
| Window src1_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape()); |
| |
| Window win{ window }; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x(); |
| const auto len = static_cast<int>(window.x().end()) - static_cast<int>(window.x().start()); |
| |
| if(is_broadcast_across_x) |
| { |
| using LogicalBroadcastUKernelPtr = std::add_pointer<void(const uint8_t *, uint8_t, uint8_t *, int)>::type; |
| LogicalBroadcastUKernelPtr logical_func = op == LogicalOperation::Or ? &neon_logical_or_broadcast : &neon_logical_and_broadcast; |
| |
| const bool is_broadcast_input_1 = src1_win.x().step() == 0; |
| Window broadcast_win = is_broadcast_input_1 ? src1_win : src0_win; |
| Window non_broadcast_win = !is_broadcast_input_1 ? src1_win : src0_win; |
| const ITensor *broadcast_tensor = is_broadcast_input_1 ? src1 : src0; |
| const ITensor *non_broadcast_tensor = !is_broadcast_input_1 ? src1 : src0; |
| non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator broadcast_in(broadcast_tensor, broadcast_win); |
| Iterator non_broadcast_in(non_broadcast_tensor, non_broadcast_win); |
| Iterator out(dst, win); |
| |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| const uint8_t broadcast_value = *broadcast_in.ptr(); |
| logical_func(non_broadcast_in.ptr(), broadcast_value, out.ptr(), len); |
| |
| }, |
| broadcast_in, non_broadcast_in, out); |
| } |
| else |
| { |
| using LogicalUKernelPtr = std::add_pointer<void(const uint8_t *, const uint8_t *, uint8_t *, int)>::type; |
| LogicalUKernelPtr logical_func = op == LogicalOperation::Or ? &neon_logical_or : &neon_logical_and; |
| |
| src0_win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| src1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator in0(src0, src0_win); |
| Iterator in1(src1, src1_win); |
| Iterator out(dst, win); |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| logical_func(in0.ptr(), in1.ptr(), out.ptr(), len); |
| }, |
| in0, in1, out); |
| } |
| } |
| } // namespace |
| const char *NELogicalKernel::name() const |
| { |
| return "NELogicalKernel"; |
| } |
| |
| void NELogicalKernel::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, LogicalOperation op) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input1, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate(input1, input2, output, op)); |
| |
| _op = op; |
| |
| Window win = calculate_max_window(*input1, Steps()); |
| TensorShape out_shape = input1->tensor_shape(); |
| if(op != LogicalOperation::Not) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input2); |
| const std::pair<TensorShape, ValidRegion> broadcast_pair = ITensorInfo::broadcast_shape_and_valid_region(*input1, *input2); |
| out_shape = broadcast_pair.first; |
| win = calculate_max_window(broadcast_pair.second, Steps()); |
| } |
| ICPPKernel::configure(win); |
| |
| // Auto initialize if empty |
| set_shape_if_empty(*output, out_shape); |
| set_data_type_if_unknown(*output, input1->data_type()); |
| } |
| |
| Status NELogicalKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, LogicalOperation op) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8); |
| ARM_COMPUTE_RETURN_ERROR_ON(op == LogicalOperation::Unknown); |
| |
| TensorShape out_shape = input1->tensor_shape(); |
| if(op != LogicalOperation::Not) |
| { |
| out_shape = TensorShape::broadcast_shape(input1->tensor_shape(), input2->tensor_shape()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2); |
| } |
| |
| // Checks performed when output is configured |
| if((output != nullptr) && (output->total_size() != 0)) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(detail::have_different_dimensions(out_shape, output->tensor_shape(), 0)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output); |
| } |
| |
| return Status{}; |
| } |
| |
| void NELogicalKernel::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(INEKernel::window(), window); |
| ARM_COMPUTE_ERROR_ON(tensors.empty()); |
| |
| const ITensor *src0 = tensors.get_const_tensor(TensorType::ACL_SRC_0); |
| const ITensor *src1 = tensors.get_const_tensor(TensorType::ACL_SRC_1); |
| ITensor *dst = tensors.get_tensor(TensorType::ACL_DST); |
| |
| if(_op == LogicalOperation::Not) |
| { |
| run_unary(window, src0, dst); |
| } |
| else |
| { |
| run_binary(window, src0, src1, dst, _op); |
| } |
| } |
| } // namespace kernels |
| } // namespace arm_compute |