| /* |
| * Copyright (c) 2017-2021 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/CpuFloorKernel.h" |
| |
| #include "arm_compute/core/Coordinates.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include "src/core/common/Registrars.h" |
| #include "src/core/cpu/kernels/floor/list.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| struct FloorSelectorData |
| { |
| DataType dt; |
| }; |
| |
| using FloorSelectorPtr = std::add_pointer<bool(const FloorSelectorData &data)>::type; |
| using FloorUKernelPtr = std::add_pointer<void(const void *, void *, int)>::type; |
| |
| struct FloorUKernel |
| { |
| const char *name; |
| const FloorSelectorPtr is_selected; |
| FloorUKernelPtr ukernel; |
| }; |
| |
| static const FloorUKernel available_kernels[] = |
| { |
| { |
| "neon_fp16_floor", |
| [](const FloorSelectorData & data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::fp16_neon_floor) |
| }, |
| { |
| "neon_fp32_floor", |
| [](const FloorSelectorData & data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::fp32_neon_floor) |
| }, |
| }; |
| |
| /** Micro-kernel selector |
| * |
| * @param[in] data Selection data passed to help pick the appropriate micro-kernel |
| * |
| * @return A matching micro-kernel else nullptr |
| */ |
| const FloorUKernel *get_implementation(const FloorSelectorData &data) |
| { |
| for(const auto &uk : available_kernels) |
| { |
| if(uk.is_selected(data)) |
| { |
| return &uk; |
| } |
| } |
| return nullptr; |
| } |
| |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| |
| const auto *uk = get_implementation(FloorSelectorData{ src->data_type() }); |
| ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| // Validate in case of configured output |
| 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{}; |
| } |
| } // namespace |
| |
| void CpuFloorKernel::configure(const ITensorInfo *src, ITensorInfo *dst) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); |
| |
| auto_init_if_empty(*dst, src->tensor_shape(), 1, src->data_type()); |
| |
| const auto *uk = get_implementation(FloorSelectorData{ src->data_type() }); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(uk); |
| |
| _run_method = uk->ukernel; |
| _name = std::string("CpuFloorKernel").append("/").append(uk->name); |
| |
| // Configure kernel window |
| const Window win = calculate_max_window(*src, Steps()); |
| |
| ICPPKernel::configure(win); |
| } |
| |
| Window CpuFloorKernel::infer_window(const ITensorInfo *src, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_UNUSED(dst); |
| ARM_COMPUTE_ERROR_ON(!bool(validate_arguments(src, dst))); |
| |
| Window win; |
| win.use_tensor_dimensions(src->tensor_shape()); |
| return win; |
| } |
| |
| Status CpuFloorKernel::validate(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); |
| return Status{}; |
| } |
| |
| void CpuFloorKernel::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()); |
| ARM_COMPUTE_ERROR_ON(_run_method == nullptr); |
| |
| const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC); |
| ITensor *dst = tensors.get_tensor(TensorType::ACL_DST); |
| const auto len = static_cast<int>(window.x().end()) - static_cast<int>(window.x().start()); |
| |
| Window win{ window }; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator src_it(src, win); |
| Iterator dst_it(dst, win); |
| |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| _run_method(src_it.ptr(), dst_it.ptr(), len); |
| }, |
| src_it, dst_it); |
| } |
| |
| const char *CpuFloorKernel::name() const |
| { |
| return _name.c_str(); |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |