| /* |
| * Copyright (c) 2016-2021 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 "arm_compute/core/Helpers.h" |
| |
| #include "arm_compute/core/Utils.h" |
| |
| #include <algorithm> |
| #include <cmath> |
| #include <cstdint> |
| #include <fstream> |
| #include <map> |
| #include <string> |
| |
| namespace arm_compute |
| { |
| std::string read_file(const std::string &filename, bool binary) |
| { |
| std::string out; |
| std::ifstream fs; |
| |
| #ifndef ARM_COMPUTE_EXCEPTIONS_DISABLED |
| try |
| { |
| #endif /* ARM_COMPUTE_EXCEPTIONS_DISABLED */ |
| 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>()); |
| #ifndef ARM_COMPUTE_EXCEPTIONS_DISABLED |
| } |
| catch(const std::ifstream::failure &e) |
| { |
| ARM_COMPUTE_ERROR_VAR("Accessing %s: %s", filename.c_str(), e.what()); |
| } |
| #endif /* ARM_COMPUTE_EXCEPTIONS_DISABLED */ |
| |
| return out; |
| } |
| |
| const std::string &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 &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 &string_from_data_layout(DataLayout dl) |
| { |
| static std::map<DataLayout, const std::string> dl_map = |
| { |
| { DataLayout::UNKNOWN, "UNKNOWN" }, |
| { DataLayout::NCHW, "NCHW" }, |
| { DataLayout::NHWC, "NHWC" }, |
| }; |
| |
| return dl_map[dl]; |
| } |
| |
| const std::string &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::S16, "S16" }, |
| { DataType::U16, "U16" }, |
| { DataType::S32, "S32" }, |
| { DataType::U32, "U32" }, |
| { DataType::S64, "S64" }, |
| { DataType::U64, "U64" }, |
| { DataType::F16, "F16" }, |
| { DataType::F32, "F32" }, |
| { DataType::F64, "F64" }, |
| { DataType::SIZET, "SIZET" }, |
| { DataType::QSYMM8, "QSYMM8" }, |
| { DataType::QSYMM8_PER_CHANNEL, "QSYMM8_PER_CHANNEL" }, |
| { DataType::QASYMM8, "QASYMM8" }, |
| { DataType::QASYMM8_SIGNED, "QASYMM8_SIGNED" }, |
| { DataType::QSYMM16, "QSYMM16" }, |
| { DataType::QASYMM16, "QASYMM16" }, |
| }; |
| |
| return dt_map[dt]; |
| } |
| |
| const std::string &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::ELU, "ELU" }, |
| { ActivationLayerInfo::ActivationFunction::SQRT, "SQRT" }, |
| { ActivationLayerInfo::ActivationFunction::SQUARE, "SQUARE" }, |
| { ActivationLayerInfo::ActivationFunction::TANH, "TANH" }, |
| { ActivationLayerInfo::ActivationFunction::IDENTITY, "IDENTITY" }, |
| { ActivationLayerInfo::ActivationFunction::HARD_SWISH, "HARD_SWISH" } |
| |
| }; |
| |
| return act_map[act]; |
| } |
| |
| const std::string &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 &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 &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 &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]; |
| } |
| |
| bool is_pool_region_entirely_outside_input(const PoolingLayerInfo &info) |
| { |
| if(info.is_global_pooling || info.exclude_padding || info.pool_size.x() == 0 || info.pool_size.y() == 0) |
| { |
| return false; |
| } |
| const auto ps = info.pad_stride_info; |
| const auto pool_le_padding_x = info.pool_size.x() <= std::max({ ps.pad_left(), ps.pad_right() }); |
| const auto pool_le_padding_y = info.pool_size.y() <= std::max({ ps.pad_top(), ps.pad_bottom() }); |
| return pool_le_padding_x || pool_le_padding_y; |
| } |
| |
| const std::string &string_from_gemmlowp_output_stage(GEMMLowpOutputStageType output_stage) |
| { |
| static std::map<GEMMLowpOutputStageType, const std::string> output_stage_map = |
| { |
| { GEMMLowpOutputStageType::NONE, "" }, |
| { GEMMLowpOutputStageType::QUANTIZE_DOWN, "quantize_down" }, |
| { GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT, "quantize_down_fixedpoint" }, |
| { GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT, "quantize_down_float" } |
| }; |
| |
| return output_stage_map[output_stage]; |
| } |
| |
| std::string string_from_pixel_value(const PixelValue &value, const DataType data_type) |
| { |
| std::stringstream ss; |
| std::string converted_string; |
| |
| switch(data_type) |
| { |
| case DataType::U8: |
| case DataType::QASYMM8: |
| // Needs conversion to 32 bit, otherwise interpreted as ASCII values |
| ss << uint32_t(value.get<uint8_t>()); |
| converted_string = ss.str(); |
| break; |
| case DataType::S8: |
| case DataType::QASYMM8_SIGNED: |
| case DataType::QSYMM8_PER_CHANNEL: |
| // Needs conversion to 32 bit, otherwise interpreted as ASCII values |
| ss << int32_t(value.get<int8_t>()); |
| converted_string = ss.str(); |
| break; |
| case DataType::U16: |
| case DataType::QASYMM16: |
| ss << value.get<uint16_t>(); |
| converted_string = ss.str(); |
| break; |
| case DataType::S16: |
| case DataType::QSYMM16: |
| ss << value.get<int16_t>(); |
| converted_string = ss.str(); |
| break; |
| case DataType::U32: |
| ss << value.get<uint32_t>(); |
| converted_string = ss.str(); |
| break; |
| case DataType::S32: |
| ss << value.get<int32_t>(); |
| converted_string = ss.str(); |
| break; |
| case DataType::F32: |
| converted_string = float_to_string_with_full_precision(value.get<float>()); |
| break; |
| case DataType::F16: |
| static_assert(sizeof(half) == 2, "Half must be 16 bit"); |
| ss << value.get<half>(); |
| converted_string = ss.str(); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Not handled"); |
| } |
| |
| return converted_string; |
| } |
| |
| DataType data_type_from_name(const std::string &name) |
| { |
| static const std::map<std::string, DataType> data_types = |
| { |
| { "f16", DataType::F16 }, |
| { "f32", DataType::F32 }, |
| { "qasymm8", DataType::QASYMM8 }, |
| { "qasymm8_signed", DataType::QASYMM8_SIGNED }, |
| }; |
| |
| #ifndef ARM_COMPUTE_EXCEPTIONS_DISABLED |
| try |
| { |
| #endif /* ARM_COMPUTE_EXCEPTIONS_DISABLED */ |
| return data_types.at(utility::tolower(name)); |
| |
| #ifndef ARM_COMPUTE_EXCEPTIONS_DISABLED |
| } |
| catch(const std::out_of_range &) |
| { |
| ARM_COMPUTE_ERROR_VAR("Invalid data type name: %s", name.c_str()); |
| } |
| #endif /* ARM_COMPUTE_EXCEPTIONS_DISABLED */ |
| } |
| |
| std::string lower_string(const std::string &val) |
| { |
| std::string res = val; |
| std::transform(res.begin(), res.end(), res.begin(), ::tolower); |
| return res; |
| } |
| |
| std::string upper_string(const std::string &val) |
| { |
| std::string res = val; |
| std::transform(res.begin(), res.end(), res.begin(), ::toupper); |
| return res; |
| } |
| |
| PadStrideInfo calculate_same_pad(TensorShape input_shape, TensorShape weights_shape, PadStrideInfo conv_info, DataLayout data_layout, const Size2D &dilation, |
| const DimensionRoundingType &rounding_type) |
| { |
| const auto &strides = conv_info.stride(); |
| ARM_COMPUTE_ERROR_ON_MSG((strides.first < 1 || strides.second < 1), "Stride values should be greater than or equal to 1."); |
| |
| const unsigned int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const unsigned int height_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| const unsigned int in_width = input_shape[width_idx]; |
| const unsigned int in_height = input_shape[height_idx]; |
| const unsigned int kernel_width = weights_shape[width_idx]; |
| const unsigned int kernel_height = weights_shape[height_idx]; |
| |
| // Calculate output dimensions |
| const auto is_ceil = static_cast<unsigned int>(rounding_type == DimensionRoundingType::CEIL); |
| const unsigned int out_width = ((in_width - is_ceil) + strides.first - 1) / strides.first + is_ceil; |
| const unsigned int out_height = ((in_height - is_ceil) + strides.second - 1) / strides.second + is_ceil; |
| |
| // Calculate effective weights sizes |
| const int real_weight_width = (kernel_width - 1) * dilation.x() + 1; |
| const int real_weight_height = (kernel_height - 1) * dilation.y() + 1; |
| |
| // Calculate total pad |
| const int pad_width = std::max(0, static_cast<int>((out_width - 1) * strides.first + real_weight_width - in_width)); |
| const int pad_height = std::max(0, static_cast<int>((out_height - 1) * strides.second + real_weight_height - in_height)); |
| |
| // Calculate individual paddings |
| const unsigned int pad_left = pad_width / 2; |
| const unsigned int pad_top = pad_height / 2; |
| const unsigned int pad_right = pad_width - pad_left; |
| const unsigned int pad_bottom = pad_height - pad_top; |
| |
| PadStrideInfo same_info(strides.first, strides.second, pad_left, pad_right, pad_top, pad_bottom, rounding_type); |
| |
| // Check for correctness of predicted output shape against the one calculated using the generated info |
| const auto out_dims = scaled_dimensions(in_width, in_height, kernel_width, kernel_height, same_info, dilation); |
| ARM_COMPUTE_ERROR_ON(out_dims.first != out_width || out_dims.second != out_height); |
| ARM_COMPUTE_UNUSED(out_dims); |
| |
| return same_info; |
| } |
| |
| std::pair<unsigned int, unsigned int> deconvolution_output_dimensions(unsigned int in_width, unsigned int in_height, |
| unsigned int kernel_width, unsigned int kernel_height, |
| const PadStrideInfo &pad_stride_info) |
| { |
| 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; |
| |
| ARM_COMPUTE_ERROR_ON(in_width < 1 || in_height < 1); |
| ARM_COMPUTE_ERROR_ON(((in_width - 1) * stride_x + kernel_width) < (pad_left + pad_right)); |
| ARM_COMPUTE_ERROR_ON(((in_height - 1) * stride_y + kernel_height) < (pad_top + pad_bottom)); |
| const int w = stride_x * (in_width - 1) + kernel_width - (pad_left + pad_right); |
| const int h = stride_y * (in_height - 1) + kernel_height - (pad_top + pad_bottom); |
| |
| return std::make_pair<unsigned int, unsigned int>(w, h); |
| } |
| |
| std::pair<unsigned int, unsigned int> scaled_dimensions(int width, int height, |
| int kernel_width, int kernel_height, |
| const PadStrideInfo &pad_stride_info, |
| const Size2D &dilation) |
| { |
| const int dilation_x = dilation.x(); |
| const int dilation_y = dilation.y(); |
| const int pad_left = pad_stride_info.pad_left(); |
| const int pad_top = pad_stride_info.pad_top(); |
| const int pad_right = pad_stride_info.pad_right(); |
| const int pad_bottom = pad_stride_info.pad_bottom(); |
| const int stride_x = pad_stride_info.stride().first; |
| const int stride_y = pad_stride_info.stride().second; |
| int w = 0; |
| int h = 0; |
| switch(pad_stride_info.round()) |
| { |
| case DimensionRoundingType::FLOOR: |
| w = static_cast<int>(std::floor((static_cast<float>(width + pad_left + pad_right - (dilation_x * (kernel_width - 1) + 1)) / stride_x) + 1)); |
| h = static_cast<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<int>(std::ceil((static_cast<float>(width + pad_left + pad_right - (dilation_x * (kernel_width - 1) + 1)) / stride_x) + 1)); |
| h = static_cast<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"); |
| } |
| |
| w = std::max(1, w); |
| h = std::max(1, h); |
| return std::make_pair(static_cast<unsigned int>(w), static_cast<unsigned int>(h)); |
| } |
| |
| std::pair<int, int> scaled_dimensions_signed(int width, int height, |
| int kernel_width, int kernel_height, |
| const PadStrideInfo &pad_stride_info) |
| { |
| const int pad_left = pad_stride_info.pad_left(); |
| const int pad_top = pad_stride_info.pad_top(); |
| const int pad_right = pad_stride_info.pad_right(); |
| const int pad_bottom = pad_stride_info.pad_bottom(); |
| const int stride_x = pad_stride_info.stride().first; |
| const int stride_y = pad_stride_info.stride().second; |
| int w = 0; |
| int h = 0; |
| switch(pad_stride_info.round()) |
| { |
| case DimensionRoundingType::FLOOR: |
| w = static_cast<int>(std::floor((static_cast<float>(width + pad_left + pad_right - kernel_width) / stride_x) + 1)); |
| h = static_cast<int>(std::floor((static_cast<float>(height + pad_top + pad_bottom - kernel_height) / stride_y) + 1)); |
| break; |
| case DimensionRoundingType::CEIL: |
| w = static_cast<int>(std::ceil((static_cast<float>(width + pad_left + pad_right - kernel_width) / stride_x) + 1)); |
| h = static_cast<int>(std::ceil((static_cast<float>(height + pad_top + pad_bottom - kernel_height) / stride_y) + 1)); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Unsupported rounding type"); |
| } |
| |
| return std::make_pair(static_cast<int>(w), static_cast<int>(h)); |
| } |
| |
| bool needs_serialized_reduction(ReductionOperation op, DataType dt, unsigned int axis) |
| { |
| const bool is_min_max = (op == ReductionOperation::MAX || op == ReductionOperation::MIN); |
| const bool is_quantized_type = is_data_type_quantized(dt); |
| const bool is_first_dim = (axis == 0); |
| |
| return !is_first_dim || is_min_max || is_quantized_type; |
| } |
| |
| QuantizationInfo get_softmax_output_quantization_info(DataType input_type, bool is_log) |
| { |
| // Note: Output quantization info for softmax should always have |
| // * Softmax with QASYMM8: scale = 1/256, offset = 0 |
| // * Softmax with QASYMM8_SIGNED: scale = 1/256, offset = -128 |
| // * LogSoftmax with QASYMM8: scale = 1/256, offset = 0 |
| // * LogSoftmax with QASYMM8_SIGNED: scale = 16/256, offset = 127 |
| if(is_data_type_quantized_asymmetric_signed(input_type)) |
| { |
| if(is_log) |
| { |
| return QuantizationInfo(16.f / 256, 127); |
| } |
| else |
| { |
| return QuantizationInfo(1.f / 256, -128); |
| } |
| } |
| return QuantizationInfo(1.f / 256, 0); |
| } |
| |
| std::pair<int32_t, int32_t> get_quantized_activation_min_max(ActivationLayerInfo act_info, DataType data_type, UniformQuantizationInfo oq_info) |
| { |
| const bool is_qasymm8_signed = is_data_type_quantized_asymmetric_signed(data_type); |
| const auto a = act_info.a(); |
| const auto b = act_info.b(); |
| const int a_int = is_qasymm8_signed ? quantize_qasymm8_signed(a, oq_info) : quantize_qasymm8(a, oq_info); |
| const int b_int = is_qasymm8_signed ? quantize_qasymm8_signed(b, oq_info) : quantize_qasymm8(b, oq_info); |
| const auto type_max_value = std::get<1>(get_min_max(data_type)).get<int32_t>(); |
| |
| const int32_t min_activation = act_info.activation() != ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU ? oq_info.offset : b_int; |
| const int32_t max_activation = act_info.activation() == ActivationLayerInfo::ActivationFunction::RELU ? type_max_value : a_int; |
| |
| return std::make_pair(min_activation, max_activation); |
| } |
| |
| std::unordered_map<const ITensorInfo *, PaddingSize> get_padding_info(std::initializer_list<const ITensor *> tensors) |
| { |
| std::unordered_map<const ITensorInfo *, PaddingSize> res; |
| |
| for(const ITensor *tensor : tensors) |
| { |
| if(tensor) |
| { |
| res.insert({ tensor->info(), tensor->info()->padding() }); |
| } |
| } |
| |
| return res; |
| } |
| |
| std::unordered_map<const ITensorInfo *, PaddingSize> get_padding_info(std::initializer_list<const ITensorInfo *> infos) |
| { |
| std::unordered_map<const ITensorInfo *, PaddingSize> res; |
| |
| for(const ITensorInfo *info : infos) |
| { |
| if(info) |
| { |
| res.insert({ info, info->padding() }); |
| } |
| } |
| |
| return res; |
| } |
| |
| bool has_padding_changed(const std::unordered_map<const ITensorInfo *, PaddingSize> &padding_map) |
| { |
| return std::find_if(padding_map.begin(), padding_map.end(), [](const std::pair<const ITensorInfo *, PaddingSize> &padding_info) |
| { |
| return (padding_info.first->padding() != padding_info.second); |
| }) |
| != padding_map.end(); |
| } |
| |
| #ifdef ARM_COMPUTE_ASSERTS_ENABLED |
| void 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::U8: |
| case DataType::QASYMM8: |
| print_consecutive_elements_impl<uint8_t>(s, ptr, n, stream_width, element_delim); |
| break; |
| case DataType::S8: |
| case DataType::QSYMM8: |
| case DataType::QASYMM8_SIGNED: |
| case DataType::QSYMM8_PER_CHANNEL: |
| print_consecutive_elements_impl<int8_t>(s, reinterpret_cast<const int8_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::U16: |
| case DataType::QASYMM16: |
| print_consecutive_elements_impl<uint16_t>(s, reinterpret_cast<const uint16_t *>(ptr), n, stream_width, element_delim); |
| break; |
| case DataType::S16: |
| case DataType::QSYMM16: |
| 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::BFLOAT16: |
| print_consecutive_elements_impl<bfloat16>(s, reinterpret_cast<const bfloat16 *>(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; |
| case DataType::F32: |
| print_consecutive_elements_impl<float>(s, reinterpret_cast<const float *>(ptr), n, stream_width, element_delim); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Undefined element size for given data type"); |
| } |
| } |
| |
| int max_consecutive_elements_display_width(std::ostream &s, DataType dt, const uint8_t *ptr, unsigned int n) |
| { |
| switch(dt) |
| { |
| case DataType::U8: |
| case DataType::QASYMM8: |
| return max_consecutive_elements_display_width_impl<uint8_t>(s, ptr, n); |
| case DataType::S8: |
| case DataType::QSYMM8: |
| case DataType::QASYMM8_SIGNED: |
| case DataType::QSYMM8_PER_CHANNEL: |
| return max_consecutive_elements_display_width_impl<int8_t>(s, reinterpret_cast<const int8_t *>(ptr), n); |
| case DataType::U16: |
| case DataType::QASYMM16: |
| return max_consecutive_elements_display_width_impl<uint16_t>(s, reinterpret_cast<const uint16_t *>(ptr), n); |
| case DataType::S16: |
| case DataType::QSYMM16: |
| 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::BFLOAT16: |
| return max_consecutive_elements_display_width_impl<bfloat16>(s, reinterpret_cast<const bfloat16 *>(ptr), n); |
| case DataType::F16: |
| return max_consecutive_elements_display_width_impl<half>(s, reinterpret_cast<const half *>(ptr), n); |
| case DataType::F32: |
| return max_consecutive_elements_display_width_impl<float>(s, reinterpret_cast<const float *>(ptr), n); |
| default: |
| ARM_COMPUTE_ERROR("Undefined element size for given data type"); |
| } |
| return 0; |
| } |
| #endif /* ARM_COMPUTE_ASSERTS_ENABLED */ |
| |
| } // namespace arm_compute |
