# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Generate dot diagram file for the given paddle model config # The generated file can be viewed using Graphviz (http://graphviz.org) import sys import traceback from paddle.trainer.config_parser import parse_config def make_layer_label(layer_config): label = '%s type=%s' % (layer_config.name, layer_config.type) if layer_config.reversed: label += ' <==' label2 = '' if layer_config.active_type: label2 += 'act=%s ' % layer_config.active_type if layer_config.bias_parameter_name: label2 += 'bias=%s ' % layer_config.bias_parameter_name if label2: label += '\l' + label2 return label def make_diagram(config_file, dot_file, config_arg_str): config = parse_config(config_file, config_arg_str) make_diagram_from_proto(config.model_config, dot_file) def make_diagram_from_proto(model_config, dot_file): # print >> sys.stderr, config name2id = {} f = open(dot_file, 'w') submodel_layers = set() def make_link(link): return 'l%s -> l%s;' % (name2id[link.layer_name], name2id[link.link_name]) def make_mem(mem): s = '' if mem.boot_layer_name: s += 'l%s -> l%s;\n' % (name2id[mem.boot_layer_name], name2id[mem.layer_name]) s += 'l%s -> l%s [style=dashed];' % (name2id[mem.layer_name], name2id[mem.link_name]) return s print >> f, 'digraph graphname {' print >> f, 'node [width=0.375,height=0.25];' for i in xrange(len(model_config.layers)): l = model_config.layers[i] name2id[l.name] = i i = 0 for sub_model in model_config.sub_models: if sub_model.name == 'root': continue print >> f, 'subgraph cluster_%s {' % i print >> f, 'style=dashed;' label = '%s ' % sub_model.name if sub_model.reversed: label += '<==' print >> f, 'label = "%s";' % label i += 1 submodel_layers.add(sub_model.name) for layer_name in sub_model.layer_names: submodel_layers.add(layer_name) lid = name2id[layer_name] layer_config = model_config.layers[lid] label = make_layer_label(layer_config) print >> f, 'l%s [label="%s", shape=box];' % (lid, label) print >> f, '}' for i in xrange(len(model_config.layers)): l = model_config.layers[i] if l.name not in submodel_layers: label = make_layer_label(l) print >> f, 'l%s [label="%s", shape=box];' % (i, label) for sub_model in model_config.sub_models: if sub_model.name == 'root': continue for link in sub_model.in_links: print >> f, make_link(link) for link in sub_model.out_links: print >> f, make_link(link) for mem in sub_model.memories: print >> f, make_mem(mem) for i in xrange(len(model_config.layers)): for l in model_config.layers[i].inputs: print >> f, 'l%s -> l%s [label="%s"];' % ( name2id[l.input_layer_name], i, l.input_parameter_name) print >> f, '}' f.close() def usage(): print >> sys.stderr, ("Usage: python show_model_diagram.py" + " CONFIG_FILE DOT_FILE [config_str]") exit(1) if __name__ == '__main__': if len(sys.argv) < 3 or len(sys.argv) > 4: usage() config_file = sys.argv[1] dot_file = sys.argv[2] config_arg_str = sys.argv[3] if len(sys.argv) == 4 else '' try: make_diagram(config_file, dot_file, config_arg_str) except: traceback.print_exc() raise