SYMBOL INDEX (86 symbols across 29 files)

FILE: note1/test_paddle.py
  function net (line 9) | def net(x, y):
  function train (line 17) | def train(save_dirname):
  function infer (line 51) | def infer(save_dirname=None):

FILE: note10/mobilenet_v2.py
  function conv_bn_layer (line 4) | def conv_bn_layer(input, filter_size, num_filters, stride, padding, num_...
  function shortcut (line 20) | def shortcut(input, data_residual):
  function inverted_residual_unit (line 24) | def inverted_residual_unit(input,
  function invresi_blocks (line 65) | def invresi_blocks(input, in_c, t, c, n, s, name=None):
  function net (line 90) | def net(input, class_dim, scale=1.0):

FILE: note11/create_data_list.py
  function create_data_list (line 5) | def create_data_list(data_root_path):

FILE: note11/download_image.py
  function download_image (line 11) | def download_image(key_word, save_name, download_max):
  function delete_error_image (line 53) | def delete_error_image(father_path):

FILE: note11/infer.py
  function load_image (line 17) | def load_image(file):

FILE: note11/mobilenet_v1.py
  function net (line 4) | def net(input, class_dim, scale=1.0):
  function conv_bn_layer (line 93) | def conv_bn_layer(input, filter_size, num_filters, stride,
  function depthwise_separable (line 108) | def depthwise_separable(input, num_filters1, num_filters2, num_groups, s...

FILE: note11/reader.py
  function train_mapper (line 10) | def train_mapper(sample):
  function train_reader (line 44) | def train_reader(train_list_path, crop_size, resize_size):
  function test_mapper (line 62) | def test_mapper(sample):
  function test_reader (line 77) | def test_reader(test_list_path, crop_size):

FILE: note12/bilstm_net.py
  function bilstm_net (line 4) | def bilstm_net(data, dict_dim, class_dim, emb_dim=128, hid_dim=128, hid_...

FILE: note12/create_data.py
  function create_data_list (line 4) | def create_data_list(data_root_path):
  function create_dict (line 41) | def create_dict(data_path, dict_path):
  function get_dict_len (line 69) | def get_dict_len(dict_path):

FILE: note12/download_text_data.py
  function get_data (line 32) | def get_data(tup, data_path):
  function get_routine (line 83) | def get_routine(data_path):

FILE: note12/infer.py
  function get_data (line 16) | def get_data(sentence):

FILE: note12/text_reader.py
  function train_mapper (line 7) | def train_mapper(sample):
  function train_reader (line 14) | def train_reader(train_list_path):
  function test_mapper (line 30) | def test_mapper(sample):
  function test_reader (line 37) | def test_reader(test_list_path):

FILE: note13/image_reader.py
  function train_mapper (line 10) | def train_mapper(sample):
  function train_reader (line 54) | def train_reader(train_image_path, crop_size):

FILE: note13/infer.py
  function z_reader (line 22) | def z_reader():
  function save_image (line 32) | def save_image(images):

FILE: note13/train.py
  function Generator (line 13) | def Generator(y, name="G"):
  function Discriminator (line 41) | def Discriminator(images, name="D"):
  function get_params (line 81) | def get_params(program, prefix):
  function z_reader (line 153) | def z_reader():
  function cifar_reader (line 159) | def cifar_reader(reader):
  function show_image_grid (line 168) | def show_image_grid(images):

FILE: note14/paddle_server.py
  function hello_world (line 17) | def hello_world():
  function upload_file (line 23) | def upload_file():
  function load_image (line 35) | def load_image(file):
  function infer (line 61) | def infer():

FILE: note15/app/src/main/java/com/baidu/paddle/PML.java
  class PML (line 3) | public class PML {
    method setThread (line 5) | public static native void setThread(int threadCount);
    method load (line 8) | public static native boolean load(String modelDir);
    method loadQualified (line 11) | public static native boolean loadQualified(String modelDir);
    method loadCombined (line 14) | public static native boolean loadCombined(String modelPath, String par...
    method loadCombinedQualified (line 17) | public static native boolean loadCombinedQualified(String modelPath, S...
    method predictImage (line 20) | public static native float[] predictImage(float[] buf, int[]ddims);
    method predictYuv (line 23) | public static native float[] predictYuv(byte[] buf, int imgWidth, int ...
    method clear (line 26) | public static native void clear();

FILE: note15/app/src/main/java/com/yeyupiaoling/note15/MainActivity.java
  class MainActivity (line 27) | public class MainActivity extends AppCompatActivity {
    method onCreate (line 49) | @Override
    method initView (line 64) | private void initView(){
    method onActivityResult (line 112) | @Override
    method predictImage (line 137) | private void predictImage(String image_path) {
    method requestPermissions (line 160) | private void requestPermissions() {
    method onRequestPermissionsResult (line 176) | @Override

FILE: note15/app/src/main/java/com/yeyupiaoling/note15/Utils.java
  class Utils (line 14) | public class Utils {
    method getMaxResult (line 17) | public static int getMaxResult(float[] result) {
    method getScaledMatrix (line 30) | public static float[] getScaledMatrix(Bitmap bitmap, int desWidth, int...
    method getScaleBitmap (line 60) | public static Bitmap getScaleBitmap(String filePath) {
    method getPathFromURI (line 84) | public static String getPathFromURI(Context context, Uri uri) {
    method copyFileFromAsset (line 100) | public static void copyFileFromAsset(Context context, String oldPath, ...

FILE: note4/mnist_classification.py
  function multilayer_perceptron (line 9) | def multilayer_perceptron(input):
  function convolutional_neural_network (line 20) | def convolutional_neural_network(input):
  function load_image (line 115) | def load_image(file):

FILE: note5/text_classification.py
  function rnn_net (line 7) | def rnn_net(ipt, input_dim):
  function lstm_net (line 25) | def lstm_net(ipt, input_dim):

FILE: note6/GAN.py
  function Generator (line 8) | def Generator(y, name="G"):
  function Discriminator (line 36) | def Discriminator(images, name="D"):
  function get_params (line 76) | def get_params(program, prefix):
  function z_reader (line 147) | def z_reader():
  function mnist_reader (line 153) | def mnist_reader(reader):
  function show_image_grid (line 162) | def show_image_grid(images):

FILE: note7/DQN.py
  function DQNetWork (line 10) | def DQNetWork(ipt, variable_field):
  function _build_sync_target_network (line 29) | def _build_sync_target_network():

FILE: note8/save_infer_model.py
  function vgg16 (line 10) | def vgg16(input, class_dim=1000):

FILE: note8/save_use_params_model.py
  function vgg16 (line 10) | def vgg16(input, class_dim=1000):

FILE: note8/save_use_persistables_model.py
  function vgg16 (line 10) | def vgg16(input, class_dim=1000):

FILE: note8/use_infer_model.py
  function load_image (line 17) | def load_image(file):

FILE: note9/pretrain_model.py
  function resnet50 (line 10) | def resnet50(input):
  function if_exist (line 119) | def if_exist(var):

FILE: note9/train.py
  function resnet50 (line 10) | def resnet50(input, class_dim):