Python torch.nn.Sequentail() Examples

The following are 9 code examples of torch.nn.Sequentail(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module torch.nn , or try the search function .
Example #1
Source File: ResNet.py    From Detectron.pytorch with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #2
Source File: ResNet.py    From FPN-Pytorch with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2, deform=False, nres=0):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for i in range(nblocks):
        if (nres == 3 or nres == 4) and i == (nblocks-1):
            res_blocks.append(add_residual_block(
                inplanes, outplanes, innerplanes, dilation, stride, deform=deform
            ))
        else:
            res_blocks.append(add_residual_block(
                inplanes, outplanes, innerplanes, dilation, stride, deform=deform
            ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #3
Source File: ResNet.py    From Detectron.pytorch with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #4
Source File: ResNet.py    From Context-aware-ZSR with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #5
Source File: ResNet.py    From PANet with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #6
Source File: ResNet.py    From PMFNet with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #7
Source File: ResNet.py    From Large-Scale-VRD.pytorch with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #8
Source File: ResNet.py    From detectron-self-train with MIT License 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes
Example #9
Source File: ResNet.py    From DIoU-pytorch-detectron with GNU General Public License v3.0 6 votes vote down vote up 
def add_stage(inplanes, outplanes, innerplanes, nblocks, dilation=1, stride_init=2):
    """Make a stage consist of `nblocks` residual blocks.
    Returns:
        - stage module: an nn.Sequentail module of residual blocks
        - final output dimension
    """
    res_blocks = []
    stride = stride_init
    for _ in range(nblocks):
        res_blocks.append(add_residual_block(
            inplanes, outplanes, innerplanes, dilation, stride
        ))
        inplanes = outplanes
        stride = 1

    return nn.Sequential(*res_blocks), outplanes