SYMBOL INDEX (157 symbols across 18 files)

FILE: 1-math_ml_basic/src/cpp/binary_search.cpp
  function binary_search (line 7) | int binary_search(std::vector<int> arr, int target) {
  function main (line 23) | int main() {

FILE: 1-math_ml_basic/src/cpp/class_copy_move.cpp
  class Complex (line 3) | class Complex
    method Complex (line 6) | Complex(double r = 0, double i = 0) : real(r), imag(i) {}
    method Complex (line 11) | Complex operator+(const Complex& other) const
    method Complex (line 17) | Complex operator-(const Complex& other) const
  function main (line 32) | int main()

FILE: 1-math_ml_basic/src/cpp/cpp_basic.cpp
  class MyClass (line 5) | class MyClass {
    method MyClass (line 7) | MyClass() { std::cout << "Default constructor" << std::endl; }
    method MyClass (line 8) | MyClass(const MyClass& other) { std::cout << "Copy constructor" << std...
    method MyClass (line 9) | MyClass(MyClass&& other) { std::cout << "Move constructor" << std::end...
  function main (line 13) | int main() {

FILE: 1-math_ml_basic/src/cpp/fileWrapper.cpp
  class fileWrapper (line 6) | class fileWrapper {
    method fileWrapper (line 9) | explicit fileWrapper(const std::string& filename) :
    method writeLine (line 24) | void writeLine(const std::string& line) {
  function wrapper (line 36) | void wrapper(T&& val) {
  function main (line 41) | int main() {

FILE: 1-math_ml_basic/src/cpp/multi_thread_demo.cpp
  function worker (line 9) | void worker() {
  function simple_do_once (line 14) | void simple_do_once(std::once_flag* flag)
  function main (line 19) | int main() {

FILE: 1-math_ml_basic/src/cpp/test_template.cpp
  type Device (line 10) | enum class Device {
  class Tensor (line 18) | class Tensor
  class Tensor<Device::CPU, T> (line 23) | class Tensor<Device::CPU, T> {
    method Tensor (line 26) | explicit Tensor(const vector<size_t> shape): shape(shape) {
    method T (line 35) | const T& operator[](size_t index) const {
    method size (line 39) | size_t size() const noexcept {
    method add (line 45) | void add(const Tensor<Device::CPU, T> input_t) {
    method printDebug (line 53) | void printDebug(const std::string& name) const {
  function func (line 67) | auto func(const T1& x, const T2& y) {
  function func (line 73) | auto func(const int& x, const double& y) {
  function main (line 77) | int main() {

FILE: 1-math_ml_basic/src/python/classifynet_torch_to_onnx.py
  function arg_parse (line 29) | def arg_parse():
  function model_inference (line 38) | def model_inference(net, input_data, weight_path):
  function torch_to_onnx (line 56) | def torch_to_onnx(torch_model, input_data, onnx_file_path):
  function define_net (line 67) | def define_net():
  function main (line 71) | def main(net_torch, net_name, input_shape):

FILE: 1-math_ml_basic/src/python/conv_layer.py
  class Conv2D (line 10) | class Conv2D:
    method __init__ (line 11) | def __init__(self, input_channels, output_channels, kernel_size):
    method forward (line 18) | def forward(self, input):
    method __init__ (line 64) | def __init__(self, input_channels, output_channels, kernel_size):
    method forward (line 68) | def forward(self, x):
  class Conv2D (line 63) | class Conv2D(torch.nn.Module):
    method __init__ (line 11) | def __init__(self, input_channels, output_channels, kernel_size):
    method forward (line 18) | def forward(self, input):
    method __init__ (line 64) | def __init__(self, input_channels, output_channels, kernel_size):
    method forward (line 68) | def forward(self, x):

FILE: 1-math_ml_basic/src/python/gd_double_variable.py
  function target_function (line 8) | def target_function(x,y):
  function derivative_function (line 12) | def derivative_function(theta):
  function show_3d_surface (line 17) | def show_3d_surface(x, y, z):

FILE: 1-math_ml_basic/src/python/gradio_demo.py
  function user (line 10) | def user(user_message, history):
  function bot (line 13) | def bot(history):

FILE: 1-math_ml_basic/src/python/multi_cal_tasks.py
  function timer (line 15) | def timer(func):
  function matrix_mult (line 26) | def matrix_mult(A, B):
  function matrix_mult_threaded (line 37) | def matrix_mult_threaded(A, B, num_threads):
  function matrix_mult_multiprocess (line 57) | def matrix_mult_multiprocess(A, B, num_processes):

FILE: 1-math_ml_basic/src/python/multi_io_tasks.py
  function timer (line 34) | def timer(func):
  function create_dir (line 45) | def create_dir(dir_name):
  function download_image (line 50) | def download_image(url, save_path):
  function single_thread_download (line 57) | def single_thread_download():
  function multi_thread_download (line 65) | def multi_thread_download():
  function thread_worker (line 81) | def thread_worker(work_queue, dir_name):
  function thread_pool_download (line 94) | def thread_pool_download():
  function process_worker (line 114) | def process_worker(url):
  function process_pool_download (line 119) | def process_pool_download():

FILE: 1-math_ml_basic/src/python/python_basic.py
  function fibonacci (line 2) | def fibonacci():
  function timer (line 31) | def timer(func):
  function runTime (line 41) | def runTime(func):
  function fib (line 55) | def fib(n):
  function cache (line 69) | def cache(func):
  function fibonacci (line 85) | def fibonacci(n):
  function my_decorator (line 94) | def my_decorator(func):
  function example_function (line 103) | def example_function(x, y):
  class Shape (line 111) | class Shape:
    method area (line 112) | def area(self):
    method perimeter (line 115) | def perimeter(self):
  class Rectangle (line 118) | class Rectangle(Shape):
    method __init__ (line 119) | def __init__(self, width, height):
    method area (line 124) | def area(self):
    method perimeter (line 127) | def perimeter(self):
  class Circle (line 130) | class Circle(Shape):
    method __init__ (line 131) | def __init__(self, radius):
    method area (line 135) | def area(self):
    method perimeter (line 138) | def perimeter(self):
  function calculate (line 141) | def calculate(shape):
  class Person (line 163) | class Person:
    method __init__ (line 164) | def __init__(self, age):
    method age (line 169) | def age(self):
    method age (line 173) | def age(self, value):
    method age_group (line 183) | def age_group(self):
    method _calculate_age_group (line 186) | def _calculate_age_group(self):
  class A (line 204) | class A:
    method method1 (line 205) | def method1(self):
  class B (line 208) | class B:
    method method1 (line 209) | def method1(self):
    method method2 (line 211) | def method2(self):
  class C (line 214) | class C(A, B):
    method method3 (line 215) | def method3(self):
  class IntList (line 230) | class IntList:
    method __init__ (line 231) | def __init__(self, data):
    method __len__ (line 234) | def __len__(self):
    method __getitem__ (line 237) | def __getitem__(self, index):
    method __setitem__ (line 243) | def __setitem__(self, index, value):
    method __delitem__ (line 249) | def __delitem__(self, index):
    method __contains__ (line 255) | def __contains__(self, item):
    method __iter__ (line 258) | def __iter__(self):
    method __repr__ (line 261) | def __repr__(self):
  class Meta (line 281) | class Meta(type):
    method __init__ (line 282) | def __init__(cls, name, bases, attrs):
  class MyClass (line 286) | class MyClass(metaclass=Meta):
    method name (line 288) | def name(self):
  class StringUtils (line 296) | class StringUtils:
    method reverse_string (line 298) | def reverse_string(string):
    method count_characters (line 303) | def count_characters(cls, string):
    method __init__ (line 307) | def __init__(self, string):
    method reverse_instance_string (line 310) | def reverse_instance_string(self):
  class Person (line 331) | class Person:
    method __init__ (line 164) | def __init__(self, age):
    method age (line 169) | def age(self):
    method age (line 173) | def age(self, value):
    method age_group (line 183) | def age_group(self):
    method _calculate_age_group (line 186) | def _calculate_age_group(self):
  class Student (line 348) | class Student:
    method __init__ (line 349) | def __init__(self, age):
    method __lt__ (line 352) | def __lt__(self, other):
    method __eq__ (line 358) | def __eq__(self, other):
  function get_dict_depth (line 374) | def get_dict_depth(d, depth=0):

FILE: 2-deep_learning_basic/pytorch_basic/src/tensor_demo.py
  function tensor_learn (line 3) | def tensor_learn():
  function generate_tensor_and_print_stats (line 15) | def generate_tensor_and_print_stats(size, func="normal", mean=0.0, std=1...
  function main (line 41) | def main():

FILE: 3-classic_backbone/densenet.py
  function _bn_function_factory (line 12) | def _bn_function_factory(norm, relu, conv):
  class _DenseLayer (line 21) | class _DenseLayer(nn.Module):
    method __init__ (line 22) | def __init__(self, num_input_features, growth_rate, bn_size, drop_rate...
    method forward (line 35) | def forward(self, *prev_features):
  class _Transition (line 47) | class _Transition(nn.Sequential):
    method __init__ (line 48) | def __init__(self, num_input_features, num_output_features):
  class _DenseBlock (line 57) | class _DenseBlock(nn.Module):
    method __init__ (line 58) | def __init__(self, num_layers, num_input_features, bn_size, growth_rat...
    method forward (line 70) | def forward(self, init_features):
  class DenseNet (line 78) | class DenseNet(nn.Module):
    method __init__ (line 92) | def __init__(self, growth_rate=12, block_config=(16, 16, 16), compress...
    method forward (line 150) | def forward(self, x):

FILE: 3-classic_backbone/efficient_cnn/vovnet.py
  function conv3x3 (line 16) | def conv3x3(in_channels, out_channels, module_name, postfix,
  function conv1x1 (line 34) | def conv1x1(in_channels, out_channels, module_name, postfix,
  class _OSA_module (line 52) | class _OSA_module(nn.Module):
    method __init__ (line 53) | def __init__(self,
    method forward (line 75) | def forward(self, x):
  class _OSA_stage (line 92) | class _OSA_stage(nn.Sequential):
    method __init__ (line 93) | def __init__(self,
  class VoVNet (line 124) | class VoVNet(nn.Module):
    method __init__ (line 125) | def __init__(self,
    method forward (line 164) | def forward(self, x):
  function _vovnet (line 173) | def _vovnet(arch,
  function vovnet57 (line 191) | def vovnet57(pretrained=False, progress=True, **kwargs):
  function vovnet39 (line 203) | def vovnet39(pretrained=False, progress=True, **kwargs):
  function vovnet27_slim (line 215) | def vovnet27_slim(pretrained=False, progress=True, **kwargs):

FILE: 3-classic_backbone/shufflenetv2_expr.py
  function benchmark (line 6) | def benchmark(model, input_tensor, batch_size, device, num_iterations=100):
  class ConvBlock (line 28) | class ConvBlock(nn.Module):
    method __init__ (line 29) | def __init__(self, c1, c2):
    method forward (line 35) | def forward(self, x):
  class ConvNet (line 41) | class ConvNet(nn.Module):
    method __init__ (line 42) | def __init__(self, c1, c2, num_blocks=10):
    method forward (line 46) | def forward(self, x):

FILE: process_image.py
  function contains_chinese (line 14) | def contains_chinese(text):
  function translate_text (line 18) | def translate_text(text):
  function get_new_filename (line 30) | def get_new_filename(original_name, extension, existing_names):
  function main (line 40) | def main():