class_docstr: A Conv3d module attached with FakeQuantize modules for weight,
  used for quantization aware training.
  
  We adopt the same interface as `torch.nn.Conv3d`, please see
  https://pytorch.org/docs/stable/nn.html?highlight=conv3d#torch.nn.Conv3d
  for documentation.
  
  Similar to `torch.nn.Conv3d`, with FakeQuantize modules initialized to
  default.
  
  Attributes:
      weight_fake_quant: fake quant module for weight
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code: def from_float(cls, mod):
      return super().from_float(cls, mod)
  
imports: import torch
  import torch.nn
  from torch.nn.modules.utils import _single, _pair, _triple
  from torch.ao.nn.intrinsic import _FusedModule
  from typing import Tuple, TypeVar, Union
  from torch.nn.common_types import _size_1_t, _size_2_t, _size_3_t
label_desc: Use image node_id 3 for calling the Conv3d obj's underlying member method code with example usage: obj.from_float(cls, mod) and returns: super