SYMBOL INDEX (26 symbols across 6 files)

FILE: config.py
  function _complex_concat (line 4) | def _complex_concat(a, b):
  function _add_prefix (line 11) | def _add_prefix(a):

FILE: deploy_test.py
  function imgread (line 30) | def imgread(path):

FILE: deploy_test_pruned.py
  function imgread (line 32) | def imgread(path):
  function sparse_cnn_model (line 54) | def sparse_cnn_model(weights):

FILE: papl.py
  function _saveToPdf (line 16) | def _saveToPdf(output):
  function _to_percent (line 23) | def _to_percent(y, position):
  function _minRuler (line 33) | def _minRuler(array):
  function _maxRuler (line 39) | def _maxRuler(array):
  function draw_histogram (line 52) | def draw_histogram(*target, **kwargs):
  function print_weight_vars (line 88) | def print_weight_vars(obj_dict, weight_obj_list, fname_list, show_zero=F...
  function print_synapse_nps (line 100) | def print_synapse_nps(syn_arr, fname, show_zero=False):
  function print_sparse_weight_vars (line 110) | def print_sparse_weight_vars(obj_dict, weight_obj_list, fname_list):
  function prune_dense (line 120) | def prune_dense(weight_arr, name="None", thresh=0.005, **kwargs):
  function prune_tf_sparse (line 132) | def prune_tf_sparse(weight_arr, name="None", thresh=0.005):
  function log (line 146) | def log(fname, log):
  function imread (line 151) | def imread(path):

FILE: read_model.py
  function read_model_obj_with_sorted_ratio (line 15) | def read_model_obj_with_sorted_ratio(fname, ratio):
  function print_raw_matrix (line 28) | def print_raw_matrix(fname):
  function read_model_obj (line 35) | def read_model_obj(fname):

FILE: train.py
  function apply_prune (line 36) | def apply_prune(weights):
  function apply_prune_on_grads (line 62) | def apply_prune_on_grads(grads_and_vars, dict_nzidx):
  function gen_sparse_dict (line 73) | def gen_sparse_dict(dense_w):
  function dense_cnn_model (line 97) | def dense_cnn_model(weights):
  function test (line 120) | def test(y_infer, message="None."):
  function check_file_exists (line 136) | def check_file_exists(key):