Caffe2 - Python API
A deep learning, cross platform ML framework
brew.py
1 ## @package model_helper_api
2 # Module caffe2.python.model_helper_api
3 from __future__ import absolute_import
4 from __future__ import division
5 from __future__ import print_function
6 from __future__ import unicode_literals
7 
8 import sys
9 import copy
10 import inspect
11 from past.builtins import basestring
12 from caffe2.python.model_helper import ModelHelper
13 
14 # flake8: noqa
19 from caffe2.python.helpers.conv import *
23 from caffe2.python.helpers.fc import *
27 from caffe2.python.helpers.tools import *
28 from caffe2.python.helpers.train import *
29 
30 
31 class HelperWrapper(object):
32  _registry = {
33  'arg_scope': arg_scope,
34  'fc': fc,
35  'packed_fc': packed_fc,
36  'fc_decomp': fc_decomp,
37  'fc_sparse': fc_sparse,
38  'fc_prune': fc_prune,
39  'dropout': dropout,
40  'max_pool': max_pool,
41  'average_pool': average_pool,
42  'max_pool_with_index' : max_pool_with_index,
43  'lrn': lrn,
44  'softmax': softmax,
45  'instance_norm': instance_norm,
46  'spatial_bn': spatial_bn,
47  'relu': relu,
48  'prelu': prelu,
49  'tanh': tanh,
50  'concat': concat,
51  'depth_concat': depth_concat,
52  'sum': sum,
53  'transpose': transpose,
54  'iter': iter,
55  'accuracy': accuracy,
56  'conv': conv,
57  'conv_nd': conv_nd,
58  'conv_transpose': conv_transpose,
59  'group_conv': group_conv,
60  'group_conv_deprecated': group_conv_deprecated,
61  'image_input': image_input,
62  'video_input': video_input,
63  'add_weight_decay': add_weight_decay,
64  'elementwise_linear': elementwise_linear,
65  'layer_norm': layer_norm,
66  'batch_mat_mul' : batch_mat_mul,
67  'cond' : cond,
68  'loop' : loop,
69  'db_input' : db_input,
70  }
71 
72  def __init__(self, wrapped):
73  self.wrapped = wrapped
74 
75  def __getattr__(self, helper_name):
76  if helper_name not in self._registry:
77  raise AttributeError(
78  "Helper function {} not "
79  "registered.".format(helper_name)
80  )
81 
82  def scope_wrapper(*args, **kwargs):
83  new_kwargs = {}
84  if helper_name != 'arg_scope':
85  if len(args) > 0 and isinstance(args[0], ModelHelper):
86  model = args[0]
87  elif 'model' in kwargs:
88  model = kwargs['model']
89  else:
90  raise RuntimeError(
91  "The first input of helper function should be model. " \
92  "Or you can provide it in kwargs as model=<your_model>.")
93  new_kwargs = copy.deepcopy(model.arg_scope)
94  func = self._registry[helper_name]
95  var_names, _, varkw, _= inspect.getargspec(func)
96  if varkw is None:
97  # this helper function does not take in random **kwargs
98  new_kwargs = {
99  var_name: new_kwargs[var_name]
100  for var_name in var_names if var_name in new_kwargs
101  }
102 
103  cur_scope = get_current_scope()
104  new_kwargs.update(cur_scope.get(helper_name, {}))
105  new_kwargs.update(kwargs)
106  return func(*args, **new_kwargs)
107 
108  scope_wrapper.__name__ = helper_name
109  return scope_wrapper
110 
111  def Register(self, helper):
112  name = helper.__name__
113  if name in self._registry:
114  raise AttributeError(
115  "Helper {} already exists. Please change your "
116  "helper name.".format(name)
117  )
118  self._registry[name] = helper
119 
120  def has_helper(self, helper_or_helper_name):
121  helper_name = (
122  helper_or_helper_name
123  if isinstance(helper_or_helper_name, basestring) else
124  helper_or_helper_name.__name__
125  )
126  return helper_name in self._registry
127 
128 
129 sys.modules[__name__] = HelperWrapper(sys.modules[__name__])