From 053e7510f24c2b02f9fae9c45fb6b874631a5376 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Fri, 28 Dec 2018 15:05:20 +0000 Subject: COMPMID-1758: NEON: Implement Range Change-Id: I56dff9462b85760fbed6db43224cadb90d283810 Reviewed-on: https://review.mlplatform.org/472 Reviewed-by: Georgios Pinitas Tested-by: Arm Jenkins --- src/core/NEON/kernels/NERangeKernel.cpp | 183 ++++++++++++++++++++++++++++++++ 1 file changed, 183 insertions(+) create mode 100644 src/core/NEON/kernels/NERangeKernel.cpp (limited to 'src/core/NEON/kernels/NERangeKernel.cpp') diff --git a/src/core/NEON/kernels/NERangeKernel.cpp b/src/core/NEON/kernels/NERangeKernel.cpp new file mode 100644 index 0000000000..627ce422bd --- /dev/null +++ b/src/core/NEON/kernels/NERangeKernel.cpp @@ -0,0 +1,183 @@ +/* + * Copyright (c) 2018-2019 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 "arm_compute/core/NEON/kernels/NERangeKernel.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/IAccessWindow.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/NEAsymm.h" +#include "arm_compute/core/NEON/wrapper/wrapper.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Validate.h" + +#include "utils/Utils.h" + +namespace arm_compute +{ +namespace +{ +template +void range_function(ITensor *output, float start, float step, const Window &window) +{ + const unsigned int num_elems_processed_per_iteration = 16 / sizeof(T); + /** NEON vector tag type. */ + using ExactTagType = typename wrapper::traits::neon_bitvector::tag_type; + + const auto step_vec = wrapper::vdup_n(static_cast(step), ExactTagType{}); + const auto start_vec = wrapper::vdup_n(static_cast(start), ExactTagType{}); + auto id_vec = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + + Iterator output_it(output, window); + execute_window_loop(window, [&](const Coordinates & id) + { + for(unsigned int count = 0; count < num_elems_processed_per_iteration; ++count) + { + id_vec = wrapper::vsetlane(static_cast(id.x() + count), id_vec, count); + } + // start + step * id + const auto res_vec = wrapper::vmla(start_vec, id_vec, step_vec); + const auto out_ptr = reinterpret_cast(output_it.ptr()); + wrapper::vstore(out_ptr, res_vec); + }, + output_it); +} + +Status validate_arguments(const ITensorInfo &output, const float start, const float end, const float step) +{ + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&output, + 1, + DataType::U8, DataType::S8, + DataType::U16, DataType::S16, + DataType::U32, DataType::S32, + DataType::F16, DataType::F32); + + 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(!utils::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(!utils::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(!utils::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() < utils::num_of_elements_in_range(start, end, step), "Output tensor size is incorrect"); + + return Status{}; +} + +std::pair validate_and_configure_window(ITensorInfo &output, const float start, const float end, const float step) +{ + const unsigned int num_elems_processed_per_iteration = 16 / output.element_size(); + + // Auto initialize output if not initialized + auto_init_if_empty(output, TensorShape(utils::num_of_elements_in_range(start, end, step)), 1, output.data_type(), output.quantization_info()); + + // Configure kernel window + Window win = calculate_max_window(output, Steps(num_elems_processed_per_iteration)); + AccessWindowHorizontal output_access(&output, 0, num_elems_processed_per_iteration); + bool window_changed = update_window_and_padding(win, output_access); + output_access.set_valid_region(win, ValidRegion(Coordinates(), TensorShape(utils::num_of_elements_in_range(start, end, step)))); + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, win); +} +} // namespace + +NERangeKernel::NERangeKernel() + : _func(nullptr), _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)); + + // Configure kernel window + auto win_config = validate_and_configure_window(*(output->info()), start, end, step); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + + _start = start; + _end = end; + _step = step; + _output = output; + switch(_output->info()->data_type()) + { + case DataType::U8: + _func = &range_function; + break; + case DataType::U16: + _func = &range_function; + break; + case DataType::U32: + _func = &range_function; + break; + case DataType::S8: + _func = &range_function; + break; + case DataType::S16: + _func = &range_function; + break; + case DataType::S32: + _func = &range_function; + break; + case DataType::F32: + _func = &range_function; + break; +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + case DataType::F16: + _func = &range_function; + break; +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + default: + ARM_COMPUTE_ERROR("Unsupported data type."); + break; + } + + INEKernel::configure(win_config.second); +} + +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)); + ARM_COMPUTE_RETURN_ON_ERROR((validate_and_configure_window(*(output->clone()), start, end, step)).first); + + 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); + ARM_COMPUTE_ERROR_ON(_func == nullptr); + + (*_func)(_output, _start, _step, window); +} +} // namespace arm_compute \ No newline at end of file -- cgit v1.2.1