| /* |
| * Copyright (c) 2016, 2017, 2018 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/Utils.h" |
| |
| #include "arm_compute/core/FixedPoint.h" |
| |
| #include "support/ToolchainSupport.h" |
| |
| #include <algorithm> |
| #include <cmath> |
| #include <cstdint> |
| #include <fstream> |
| #include <map> |
| #include <string> |
| |
| using namespace arm_compute; |
| |
| std::string arm_compute::build_information() |
| { |
| static const std::string information = |
| #include "arm_compute_version.embed" |
| ; |
| return information; |
| } |
| |
| std::string arm_compute::read_file(const std::string &filename, bool binary) |
| { |
| std::string out; |
| std::ifstream fs; |
| |
| try |
| { |
| fs.exceptions(std::ifstream::failbit | std::ifstream::badbit); |
| std::ios_base::openmode mode = std::ios::in; |
| |
| if(binary) |
| { |
| mode |= std::ios::binary; |
| } |
| |
| fs.open(filename, mode); |
| |
| // Go to the end of the file |
| fs.seekg(0, std::ios::end); |
| // Reserve the memory required to store the file's content |
| out.reserve(fs.tellg()); |
| // Go back to the beginning of the file |
| fs.seekg(0, std::ios::beg); |
| // Copy the content of the file |
| out.assign(std::istreambuf_iterator<char>(fs), std::istreambuf_iterator<char>()); |
| } |
| catch(const std::ifstream::failure &e) |
| { |
| ARM_COMPUTE_ERROR("Accessing %s: %s", filename.c_str(), e.what()); |
| } |
| |
| return out; |
| } |
| |
| const std::string &arm_compute::string_from_format(Format format) |
| { |
| static std::map<Format, const std::string> formats_map = |
| { |
| { Format::UNKNOWN, "UNKNOWN" }, |
| { Format::U8, "U8" }, |
| { Format::S16, "S16" }, |
| { Format::U16, "U16" }, |
| { Format::S32, "S32" }, |
| { Format::U32, "U32" }, |
| { Format::F16, "F16" }, |
| { Format::F32, "F32" }, |
| { Format::UV88, "UV88" }, |
| { Format::RGB888, "RGB888" }, |
| { Format::RGBA8888, "RGBA8888" }, |
| { Format::YUV444, "YUV444" }, |
| { Format::YUYV422, "YUYV422" }, |
| { Format::NV12, "NV12" }, |
| { Format::NV21, "NV21" }, |
| { Format::IYUV, "IYUV" }, |
| { Format::UYVY422, "UYVY422" } |
| }; |
| |
| return formats_map[format]; |
| } |
| |
| const std::string &arm_compute::string_from_channel(Channel channel) |
| { |
| static std::map<Channel, const std::string> channels_map = |
| { |
| { Channel::UNKNOWN, "UNKNOWN" }, |
| { Channel::R, "R" }, |
| { Channel::G, "G" }, |
| { Channel::B, "B" }, |
| { Channel::A, "A" }, |
| { Channel::Y, "Y" }, |
| { Channel::U, "U" }, |
| { Channel::V, "V" }, |
| { Channel::C0, "C0" }, |
| { Channel::C1, "C1" }, |
| { Channel::C2, "C2" }, |
| { Channel::C3, "C3" } |
| }; |
| |
| return channels_map[channel]; |
| } |
| |
| const std::string &arm_compute::string_from_data_type(DataType dt) |
| { |
| static std::map<DataType, const std::string> dt_map = |
| { |
| { DataType::UNKNOWN, "UNKNOWN" }, |
| { DataType::S8, "S8" }, |
| { DataType::U8, "U8" }, |
| { DataType::QS8, "QS8" }, |
| { DataType::S16, "S16" }, |
| { DataType::U16, "U16" }, |
| { DataType::QS16, "QS16" }, |
| { DataType::S32, "S32" }, |
| { DataType::U32, "U32" }, |
| { DataType::S64, "S64" }, |
| { DataType::U64, "U64" }, |
| { DataType::F16, "F16" }, |
| { DataType::F32, "F32" }, |
| { DataType::F64, "F64" }, |
| { DataType::SIZET, "SIZET" }, |
| }; |
| |
| return dt_map[dt]; |
| } |
| |
| const std::string &arm_compute::string_from_activation_func(ActivationLayerInfo::ActivationFunction act) |
| { |
| static std::map<ActivationLayerInfo::ActivationFunction, const std::string> act_map = |
| { |
| { ActivationLayerInfo::ActivationFunction::ABS, "ABS" }, |
| { ActivationLayerInfo::ActivationFunction::LINEAR, "LINEAR" }, |
| { ActivationLayerInfo::ActivationFunction::LOGISTIC, "LOGISTIC" }, |
| { ActivationLayerInfo::ActivationFunction::RELU, "RELU" }, |
| { ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, "BRELU" }, |
| { ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, "LU_BRELU" }, |
| { ActivationLayerInfo::ActivationFunction::LEAKY_RELU, "LRELU" }, |
| { ActivationLayerInfo::ActivationFunction::SOFT_RELU, "SRELU" }, |
| { ActivationLayerInfo::ActivationFunction::SQRT, "SQRT" }, |
| { ActivationLayerInfo::ActivationFunction::SQUARE, "SQUARE" }, |
| { ActivationLayerInfo::ActivationFunction::TANH, "TANH" }, |
| }; |
| |
| return act_map[act]; |
| } |
| |
| const std::string &arm_compute::string_from_matrix_pattern(MatrixPattern pattern) |
| { |
| static std::map<MatrixPattern, const std::string> pattern_map = |
| { |
| { MatrixPattern::BOX, "BOX" }, |
| { MatrixPattern::CROSS, "CROSS" }, |
| { MatrixPattern::DISK, "DISK" }, |
| { MatrixPattern::OTHER, "OTHER" }, |
| }; |
| |
| return pattern_map[pattern]; |
| } |
| |
| const std::string &arm_compute::string_from_non_linear_filter_function(NonLinearFilterFunction function) |
| { |
| static std::map<NonLinearFilterFunction, const std::string> func_map = |
| { |
| { NonLinearFilterFunction::MAX, "MAX" }, |
| { NonLinearFilterFunction::MEDIAN, "MEDIAN" }, |
| { NonLinearFilterFunction::MIN, "MIN" }, |
| }; |
| |
| return func_map[function]; |
| } |
| |
| const std::string &arm_compute::string_from_interpolation_policy(InterpolationPolicy policy) |
| { |
| static std::map<InterpolationPolicy, const std::string> interpolation_policy_map = |
| { |
| { InterpolationPolicy::AREA, "AREA" }, |
| { InterpolationPolicy::BILINEAR, "BILINEAR" }, |
| { InterpolationPolicy::NEAREST_NEIGHBOR, "NEAREST_NEIGHBOUR" }, |
| }; |
| |
| return interpolation_policy_map[policy]; |
| } |
| |
| const std::string &arm_compute::string_from_border_mode(BorderMode border_mode) |
| { |
| static std::map<BorderMode, const std::string> border_mode_map = |
| { |
| { BorderMode::UNDEFINED, "UNDEFINED" }, |
| { BorderMode::CONSTANT, "CONSTANT" }, |
| { BorderMode::REPLICATE, "REPLICATE" }, |
| }; |
| |
| return border_mode_map[border_mode]; |
| } |
| |
| const std::string &arm_compute::string_from_norm_type(NormType type) |
| { |
| static std::map<NormType, const std::string> norm_type_map = |
| { |
| { NormType::IN_MAP_1D, "IN_MAP_1D" }, |
| { NormType::IN_MAP_2D, "IN_MAP_2D" }, |
| { NormType::CROSS_MAP, "CROSS_MAP" }, |
| }; |
| |
| return norm_type_map[type]; |
| } |
| |
| const std::string &arm_compute::string_from_pooling_type(PoolingType type) |
| { |
| static std::map<PoolingType, const std::string> pool_type_map = |
| { |
| { PoolingType::MAX, "MAX" }, |
| { PoolingType::AVG, "AVG" }, |
| { PoolingType::L2, "L2" }, |
| }; |
| |
| return pool_type_map[type]; |
| } |
| |
| std::string arm_compute::lower_string(const std::string &val) |
| { |
| std::string res = val; |
| std::transform(res.begin(), res.end(), res.begin(), ::tolower); |
| return res; |
| } |
| |
| PadStrideInfo arm_compute::calculate_same_pad(TensorShape input_shape, TensorShape weights_shape, PadStrideInfo conv_info) |
| { |
| const auto &strides = conv_info.stride(); |
| const int out_width = std::ceil(float(input_shape.x()) / float(strides.first)); |
| const int out_height = std::ceil(float(input_shape.y()) / float(strides.second)); |
| const int pad_width = ((out_width - 1) * strides.first + weights_shape.x() - input_shape.x()); |
| const int pad_height = ((out_height - 1) * strides.second + weights_shape.y() - input_shape.y()); |
| const int same_pad_left = pad_width / 2; |
| const int same_pad_top = pad_height / 2; |
| const int same_pad_right = pad_width - same_pad_left; |
| const int same_pad_bottom = pad_height - same_pad_top; |
| |
| return PadStrideInfo(strides.first, strides.second, same_pad_left, same_pad_right, same_pad_top, same_pad_bottom, DimensionRoundingType::CEIL); |
| } |
| |
| TensorShape arm_compute::deconvolution_output_shape(const std::pair<unsigned int, unsigned int> &out_dims, TensorShape input, TensorShape weights) |
| { |
| TensorShape out_shape(input); |
| out_shape.set(0, out_dims.first); |
| out_shape.set(1, out_dims.second); |
| out_shape.set(2, weights[3]); |
| return out_shape; |
| } |
| |
| const std::pair<unsigned int, unsigned int> arm_compute::deconvolution_output_dimensions( |
| unsigned int in_width, unsigned int in_height, unsigned int kernel_width, unsigned int kernel_height, unsigned int padx, unsigned int pady, |
| unsigned int inner_border_right, unsigned int inner_border_top, unsigned int stride_x, unsigned int stride_y) |
| { |
| ARM_COMPUTE_ERROR_ON(in_width < 1 || in_height < 1); |
| ARM_COMPUTE_ERROR_ON(((in_width - 1) * stride_x + kernel_width + inner_border_right) < 2 * padx); |
| ARM_COMPUTE_ERROR_ON(((in_height - 1) * stride_y + kernel_height + inner_border_top) < 2 * pady); |
| const int padx_deconv = (kernel_width - padx - 1); |
| const int pady_deconv = (kernel_height - pady - 1); |
| ARM_COMPUTE_ERROR_ON(padx_deconv < 0); |
| ARM_COMPUTE_ERROR_ON(pady_deconv < 0); |
| const int w = stride_x * (in_width - 1) + kernel_width + inner_border_right - 2 * padx_deconv; |
| const int h = stride_y * (in_height - 1) + kernel_height + inner_border_top - 2 * pady_deconv; |
| return std::make_pair<unsigned int, unsigned int>(w, h); |
| } |
| |
| const std::pair<unsigned int, unsigned int> arm_compute::scaled_dimensions(unsigned int width, unsigned int height, |
| unsigned int kernel_width, unsigned int kernel_height, |
| const PadStrideInfo &pad_stride_info, |
| const Size2D &dilation) |
| { |
| const unsigned int pad_left = pad_stride_info.pad_left(); |
| const unsigned int pad_top = pad_stride_info.pad_top(); |
| const unsigned int pad_right = pad_stride_info.pad_right(); |
| const unsigned int pad_bottom = pad_stride_info.pad_bottom(); |
| const unsigned int stride_x = pad_stride_info.stride().first; |
| const unsigned int stride_y = pad_stride_info.stride().second; |
| unsigned int w = 0; |
| unsigned int h = 0; |
| switch(pad_stride_info.round()) |
| { |
| case DimensionRoundingType::FLOOR: |
| w = static_cast<unsigned int>(std::floor((static_cast<float>(width + pad_left + pad_right - (dilation.x() * (kernel_width - 1) + 1)) / stride_x) + 1)); |
| h = static_cast<unsigned int>(std::floor((static_cast<float>(height + pad_top + pad_bottom - (dilation.y() * (kernel_height - 1) + 1)) / stride_y) + 1)); |
| break; |
| case DimensionRoundingType::CEIL: |
| w = static_cast<unsigned int>(std::ceil((static_cast<float>(width + pad_left + pad_right - (dilation.x() * (kernel_width - 1) + 1)) / stride_x) + 1)); |
| h = static_cast<unsigned int>(std::ceil((static_cast<float>(height + pad_top + pad_bottom - (dilation.y() * (kernel_height - 1) + 1)) / stride_y) + 1)); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported rounding type"); |
| } |
| |
| // Make sure that border operations will start from inside the input and not the padded area |
| if(((w - 1) * stride_x) >= (width + pad_left)) |
| { |
| --w; |
| } |
| if(((h - 1) * stride_y) >= (height + pad_top)) |
| { |
| --h; |
| } |
| ARM_COMPUTE_ERROR_ON(((w - 1) * stride_x) >= (width + pad_left)); |
| ARM_COMPUTE_ERROR_ON(((h - 1) * stride_y) >= (height + pad_top)); |
| |
| return std::make_pair(w, h); |
| } |
| |
| void arm_compute::print_consecutive_elements(std::ostream &s, DataType dt, const uint8_t *ptr, unsigned int n, int stream_width, const std::string &element_delim) |
| { |
| switch(dt) |
| { |
| case DataType::QASYMM8: |
| case DataType::U8: |
| print_consecutive_elements_impl<uint8_t>(s, ptr, n, stream_width, element_delim); |
| break; |
| case DataType::QS8: |
| case DataType::S8: |
| print_consecutive_elements_impl<int8_t>(s, reinterpret_cast<const int8_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::U16: |
| print_consecutive_elements_impl<uint16_t>(s, reinterpret_cast<const uint16_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::QS16: |
| case DataType::S16: |
| print_consecutive_elements_impl<int16_t>(s, reinterpret_cast<const int16_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::U32: |
| print_consecutive_elements_impl<uint32_t>(s, reinterpret_cast<const uint32_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::S32: |
| print_consecutive_elements_impl<int32_t>(s, reinterpret_cast<const int32_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::F32: |
| print_consecutive_elements_impl<float>(s, reinterpret_cast<const float *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::F16: |
| print_consecutive_elements_impl<half>(s, reinterpret_cast<const half *>(ptr), n, stream_width, element_delim); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Undefined element size for given data type"); |
| } |
| } |
| |
| int arm_compute::max_consecutive_elements_display_width(std::ostream &s, DataType dt, const uint8_t *ptr, unsigned int n) |
| { |
| switch(dt) |
| { |
| case DataType::QASYMM8: |
| case DataType::U8: |
| return max_consecutive_elements_display_width_impl<uint8_t>(s, ptr, n); |
| case DataType::QS8: |
| case DataType::S8: |
| return max_consecutive_elements_display_width_impl<int8_t>(s, reinterpret_cast<const int8_t *>(ptr), n); |
| case DataType::U16: |
| return max_consecutive_elements_display_width_impl<uint16_t>(s, reinterpret_cast<const uint16_t *>(ptr), n); |
| case DataType::QS16: |
| case DataType::S16: |
| return max_consecutive_elements_display_width_impl<int16_t>(s, reinterpret_cast<const int16_t *>(ptr), n); |
| case DataType::U32: |
| return max_consecutive_elements_display_width_impl<uint32_t>(s, reinterpret_cast<const uint32_t *>(ptr), n); |
| case DataType::S32: |
| return max_consecutive_elements_display_width_impl<int32_t>(s, reinterpret_cast<const int32_t *>(ptr), n); |
| case DataType::F32: |
| return max_consecutive_elements_display_width_impl<float>(s, reinterpret_cast<const float *>(ptr), n); |
| case DataType::F16: |
| return max_consecutive_elements_display_width_impl<half>(s, reinterpret_cast<const half *>(ptr), n); |
| default: |
| ARM_COMPUTE_ERROR("Undefined element size for given data type"); |
| } |
| return 0; |
| } |