You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

sequential.py 3.1 kB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495
  1. # -*- coding: utf-8 -*-
  2. # MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  3. #
  4. # Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
  5. #
  6. # Unless required by applicable law or agreed to in writing,
  7. # software distributed under the License is distributed on an
  8. # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  9. from collections import OrderedDict
  10. from .module import Module
  11. class Sequential(Module):
  12. r"""A sequential container.
  13. Modules will be added to it in the order they are passed in the constructor.
  14. Alternatively, an ordered dict of modules can also be passed in.
  15. Examples:
  16. .. testcode::
  17. import numpy as np
  18. import megengine as mge
  19. import megengine.module as M
  20. import megengine.functional as F
  21. from collections import OrderedDict
  22. batch_size = 64
  23. data = mge.tensor(np.zeros((batch_size, 28 * 28)), dtype=np.float32)
  24. label = mge.tensor(np.zeros(batch_size,), dtype=np.int32)
  25. net0 = M.Sequential(
  26. M.Linear(28 * 28, 320),
  27. M.Linear(320, 10)
  28. )
  29. pred0 = net0(data)
  30. modules = OrderedDict()
  31. modules["fc0"] = M.Linear(28 * 28, 320)
  32. modules["fc1"] = M.Linear(320, 10)
  33. net1 = M.Sequential(modules)
  34. pred1 = net1(data)
  35. """
  36. def __init__(self, *args, **kwargs):
  37. super().__init__(**kwargs)
  38. self.layer_keys = []
  39. if len(args) == 1 and isinstance(args[0], OrderedDict):
  40. for key, module in args[0].items():
  41. # self.add_module(key, module)
  42. setattr(self, key, module)
  43. self.layer_keys.append(key)
  44. else:
  45. for idx, module in enumerate(args):
  46. # self.add_module(str(idx), module)
  47. setattr(self, str(idx), module)
  48. self.layer_keys.append(str(idx))
  49. def __getitem__(self, idx):
  50. if isinstance(idx, slice):
  51. return self.__class__(
  52. OrderedDict(zip(self.layer_keys[idx], self.layer_values[idx]))
  53. )
  54. else:
  55. return getattr(self, self.layer_keys[idx])
  56. def __setitem__(self, idx, module):
  57. key = self.layer_keys[idx]
  58. return setattr(self, key, module)
  59. def __delitem__(self, idx):
  60. if isinstance(idx, slice):
  61. for key in self.layer_keys[idx]:
  62. delattr(self, key)
  63. del self.layer_keys[idx]
  64. else:
  65. delattr(self, self.layer_keys[idx])
  66. del self.layer_keys[idx]
  67. def __len__(self):
  68. return len(self.layer_keys)
  69. def __iter__(self):
  70. return iter(self.layer_values)
  71. @property
  72. def layer_values(self):
  73. return [getattr(self, key) for key in self.layer_keys]
  74. def forward(self, inp):
  75. # avoid layer_values as a name prefix, see Module.__getattribute__
  76. for layer in [getattr(self, key) for key in self.layer_keys]:
  77. inp = layer(inp)
  78. return inp