| /* |
| * Copyright (c) 2018-2021, 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. |
| */ |
| #include "src/core/NEON/kernels/NERangeKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| |
| #include "src/core/common/Registrars.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/core/NEON/NEAsymm.h" |
| #include "src/core/NEON/wrapper/wrapper.h" |
| #include "src/cpu/kernels/range/list.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| struct RangeSelectorData |
| { |
| DataType dt; |
| }; |
| |
| using RangeSelectorPtr = std::add_pointer<bool(const RangeSelectorData &data)>::type; |
| using RangeUKernelPtr = std::add_pointer<void(ITensor *, float, float, const Window &)>::type; |
| |
| struct RangeUKernel |
| { |
| const char *name; |
| const RangeSelectorPtr is_selected; |
| RangeUKernelPtr ukernel; |
| }; |
| |
| static const RangeUKernel available_kernels[] = { |
| {"fp16_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::fp16_neon_range_function)}, |
| {"f32_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::fp32_neon_range_function)}, |
| {"u8_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::U8; }, |
| REGISTER_INTEGER_NEON(arm_compute::cpu::u8_neon_range_function)}, |
| {"u16_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::U16; }, |
| REGISTER_INTEGER_NEON(arm_compute::cpu::u16_neon_range_function)}, |
| {"u32_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::U32; }, |
| REGISTER_INTEGER_NEON(arm_compute::cpu::u32_neon_range_function)}, |
| {"s8_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::S8; }, |
| REGISTER_INTEGER_NEON(arm_compute::cpu::s8_neon_range_function)}, |
| {"s16_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::S16; }, |
| REGISTER_INTEGER_NEON(arm_compute::cpu::s16_neon_range_function)}, |
| {"s32_neon_range", [](const RangeSelectorData &data) { return data.dt == DataType::S32; }, |
| REGISTER_INTEGER_NEON(arm_compute::cpu::s32_neon_range_function)}, |
| }; |
| |
| /** Micro-kernel selector |
| * |
| * @param[in] data Selection data passed to help pick the appropriate micro-kernel |
| * |
| * @return A matching micro-kernel else nullptr |
| */ |
| const RangeUKernel *get_implementation(const RangeSelectorData &data) |
| { |
| for (const auto &uk : available_kernels) |
| { |
| if (uk.is_selected(data)) |
| { |
| return &uk; |
| } |
| } |
| return nullptr; |
| } |
| |
| Status validate_arguments(const ITensorInfo &output, const float start, const float end, const float step) |
| { |
| const auto *uk = get_implementation(RangeSelectorData{output.data_type()}); |
| ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((start == end), "start of the requested sequence must not be equal to the end"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(((start < end) && (step <= 0)), "step must be greater than 0 when start < end"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(((start > end) && (step >= 0)), "step must be less than 0 when start > end"); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(!check_value_range(start, output.data_type(), output.quantization_info()), |
| "start value is outside the range of the data type"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(!check_value_range(end, output.data_type(), output.quantization_info()), |
| "end value is outside the range of the data type"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(!check_value_range(step, output.data_type(), output.quantization_info()), |
| "step value is outside the range of the data type"); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((start == end), "start of the requested sequence must not be equal to the end"); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(output.num_dimensions() != 1, "Output has to be a 1-D tensor"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(output.tensor_shape().total_size() < num_of_elements_in_range(start, end, step), |
| "Output tensor size is incorrect"); |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NERangeKernel::NERangeKernel() : _start(0), _end(1), _step(1), _output(nullptr) |
| { |
| } |
| |
| void NERangeKernel::configure(ITensor *output, float start, float end, float step) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(output); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*(output->info()), start, end, step)); |
| |
| // Auto initialize output if not initialized |
| auto_init_if_empty(*output->info(), TensorShape(num_of_elements_in_range(start, end, step)), 1, |
| output->info()->data_type(), output->info()->quantization_info()); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info(), Steps()); |
| |
| _start = start; |
| _end = end; |
| _step = step; |
| _output = output; |
| |
| INEKernel::configure(win); |
| } |
| |
| Status NERangeKernel::validate(const ITensorInfo *output, float start, float end, float step) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*output, start, end, step)); |
| |
| return Status{}; |
| } |
| |
| void NERangeKernel::run(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); |
| const auto *uk = get_implementation(RangeSelectorData{_output->info()->data_type()}); |
| |
| uk->ukernel(_output, _start, _step, window); |
| } |
| } // namespace arm_compute |