From 917539225a4283c869b3cb2c82bdc94b5d2c7756 Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Thu, 13 Jun 2019 10:56:59 +0100 Subject: COMPMID-2387: Add support for NEMeanStdDevNormalizationLayer Change-Id: If5a9558b78f9c696dfc72633f73e9e21e5c2970f Signed-off-by: Michele Di Giorgio Reviewed-on: https://review.mlplatform.org/c/1351 Tested-by: Arm Jenkins Reviewed-by: Pablo Marquez Comments-Addressed: Arm Jenkins Reviewed-by: Georgios Pinitas --- .../kernels/NEMeanStdDevNormalizationKernel.cpp | 203 +++++++++++++++++++++ 1 file changed, 203 insertions(+) create mode 100644 src/core/NEON/kernels/NEMeanStdDevNormalizationKernel.cpp (limited to 'src/core/NEON/kernels') diff --git a/src/core/NEON/kernels/NEMeanStdDevNormalizationKernel.cpp b/src/core/NEON/kernels/NEMeanStdDevNormalizationKernel.cpp new file mode 100644 index 0000000000..57380b4546 --- /dev/null +++ b/src/core/NEON/kernels/NEMeanStdDevNormalizationKernel.cpp @@ -0,0 +1,203 @@ +/* + * Copyright (c) 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/NEMeanStdDevNormalizationKernel.h" + +#include "arm_compute/core/CPP/Validate.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/NEMath.h" +#include "arm_compute/core/NEON/wrapper/wrapper.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Window.h" + +namespace arm_compute +{ +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, float epsilon) +{ + ARM_COMPUTE_UNUSED(epsilon); + ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 2, "Input tensor cannot have more than 2 dimensions"); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + + // Checks performed when output is configured + if((output != nullptr) && (output->total_size() != 0)) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + return Status{}; +} + +std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) +{ + if(output != nullptr) + { + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + // Output auto inizialitation if not yet initialized + auto_init_if_empty(*output, *input); + } + + // This kernel doesn't need padding. A left-over for loop on dimension X, we cannot have any read or write out of memory + // For this reason num_elems_processed_per_iteration is set to 1 + Window win = calculate_max_window(*input, Steps()); + if(output != nullptr) + { + output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); + } + + return std::make_pair(Status{}, win); +} +} // namespace + +template +void NEMeanStdDevNormalizationKernel::mean_stddev_normalization(const Window &window) +{ + using ExactTagType = typename wrapper::traits::neon_vector::tag_type; + + // Set build options + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + const int window_step_x = size; + const auto window_start_x = static_cast(window.x().start()); + const auto window_end_x = static_cast(window.x().end()); + + Iterator input(_input, win); + Iterator output(_output, win); + + execute_window_loop(win, [&](const Coordinates &) + { + int x = window_start_x; + auto in_ptr = reinterpret_cast(input.ptr()); + auto out_ptr = reinterpret_cast(output.ptr()); + + auto sum_vec = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + auto sum_sq_vec = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + auto data = wrapper::vloadq(in_ptr + x); + sum_vec = wrapper::vadd(sum_vec, data); + sum_sq_vec = wrapper::vadd(sum_sq_vec, wrapper::vmul(data, data)); + } + + auto sum_carry_res = wrapper::vpadd(wrapper::vgethigh(sum_vec), wrapper::vgetlow(sum_vec)); + auto sum_sq_carry_res = wrapper::vpadd(wrapper::vgethigh(sum_sq_vec), wrapper::vgetlow(sum_sq_vec)); + for(int i = 0; i < size / 4; ++i) + { + sum_carry_res = wrapper::vpadd(sum_carry_res, sum_carry_res); + sum_sq_carry_res = wrapper::vpadd(sum_sq_carry_res, sum_sq_carry_res); + } + + auto sum = wrapper::vgetlane(sum_carry_res, 0); + auto sum_sq = wrapper::vgetlane(sum_sq_carry_res, 0); + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + ScalarType data = *(in_ptr + x); + sum += data; + sum_sq += data * data; + } + + ScalarType mean = sum / _input->info()->dimension(0); + ScalarType var = (sum_sq / _input->info()->dimension(0)) - (mean * mean); + ScalarType stddev_inv = 1.f / sqrt(var + _epsilon); + + auto mean_vec = wrapper::vdup_n(mean, ExactTagType{}); + auto stddev_inv_vec = wrapper::vdup_n(stddev_inv, ExactTagType{}); + for(x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x) + { + auto data = wrapper::vloadq(in_ptr + x); + auto res = wrapper::vmul(wrapper::vsub(data, mean_vec), stddev_inv_vec); + // Store results + wrapper::vstore(out_ptr + x, res); + } + for(; x < window_end_x; ++x) + { + *(out_ptr + x) = (*(in_ptr + x) - mean) * stddev_inv; + } + }, + input, output); +} + +NEMeanStdDevNormalizationKernel::NEMeanStdDevNormalizationKernel() + : _input(nullptr), _output(nullptr), _epsilon(1e-8f), _func(nullptr) +{ +} + +void NEMeanStdDevNormalizationKernel::configure(ITensor *input, ITensor *output, float epsilon) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input); + + ARM_COMPUTE_ERROR_THROW_ON(NEMeanStdDevNormalizationKernel::validate(input->info(), (output != nullptr) ? output->info() : nullptr, epsilon)); + + _input = input; + _output = (output == nullptr) ? input : output; + _epsilon = epsilon; + + // Configure kernel window + auto win_config = validate_and_configure_window(input->info(), (output == nullptr) ? nullptr : output->info()); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + ICPPKernel::configure(win_config.second); + + // Configure function to run based on different data types + const DataType data_type = input->info()->data_type(); + switch(data_type) + { + case DataType::F32: + _func = &NEMeanStdDevNormalizationKernel::mean_stddev_normalization; + break; +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + case DataType::F16: + _func = &NEMeanStdDevNormalizationKernel::mean_stddev_normalization; + break; +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + default: + ARM_COMPUTE_ERROR("Not Supported"); + break; + } +} + +Status NEMeanStdDevNormalizationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, float epsilon) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, epsilon)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (output != nullptr) ? output->clone().get() : nullptr).first); + return Status{}; +} + +void NEMeanStdDevNormalizationKernel::run(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(_func == nullptr); + + (this->*_func)(window); +} +} // namespace arm_compute -- cgit v1.2.1