Python _C.modulated_deform_conv_forward方法代碼示例

本文整理匯總了Python中maskrcnn_benchmark._C.modulated_deform_conv_forward方法的典型用法代碼示例。如果您正苦於以下問題：Python _C.modulated_deform_conv_forward方法的具體用法？Python _C.modulated_deform_conv_forward怎麽用？Python _C.modulated_deform_conv_forward使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類maskrcnn_benchmark._C的用法示例。

在下文中一共展示了_C.modulated_deform_conv_forward方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: forward

# 需要導入模塊: from maskrcnn_benchmark import _C [as 別名]
# 或者: from maskrcnn_benchmark._C import modulated_deform_conv_forward [as 別名]
def forward(
        ctx,
        input,
        offset,
        mask,
        weight,
        bias=None,
        stride=1,
        padding=0,
        dilation=1,
        groups=1,
        deformable_groups=1
    ):
        ctx.stride = stride
        ctx.padding = padding
        ctx.dilation = dilation
        ctx.groups = groups
        ctx.deformable_groups = deformable_groups
        ctx.with_bias = bias is not None
        if not ctx.with_bias:
            bias = input.new_empty(1)  # fake tensor
        if not input.is_cuda:
            raise NotImplementedError
        if weight.requires_grad or mask.requires_grad or offset.requires_grad \
                or input.requires_grad:
            ctx.save_for_backward(input, offset, mask, weight, bias)
        output = input.new_empty(
            ModulatedDeformConvFunction._infer_shape(ctx, input, weight))
        ctx._bufs = [input.new_empty(0), input.new_empty(0)]
        _C.modulated_deform_conv_forward(
            input,
            weight,
            bias,
            ctx._bufs[0],
            offset,
            mask,
            output,
            ctx._bufs[1],
            weight.shape[2],
            weight.shape[3],
            ctx.stride,
            ctx.stride,
            ctx.padding,
            ctx.padding,
            ctx.dilation,
            ctx.dilation,
            ctx.groups,
            ctx.deformable_groups,
            ctx.with_bias
        )
        return output

開發者ID:simaiden，項目名稱:Clothing-Detection，代碼行數:53，代碼來源:deform_conv_func.py

示例2: forward

# 需要導入模塊: from maskrcnn_benchmark import _C [as 別名]
# 或者: from maskrcnn_benchmark._C import modulated_deform_conv_forward [as 別名]
def forward(
        ctx,
        input,
        offset,
        mask,
        weight,
        bias=None,
        stride=1,
        padding=0,
        dilation=1,
        groups=1,
        deformable_groups=1
    ):
        ctx.stride = stride
        ctx.padding = padding
        ctx.dilation = dilation
        ctx.groups = groups
        ctx.deformable_groups = deformable_groups
        ctx.with_bias = bias is not None
        if not ctx.with_bias:
            bias = input.new_empty(1)  # fake tensor
        if not input.is_cuda:
            raise NotImplementedError
        if weight.requires_grad or mask.requires_grad or offset.requires_grad \
                or input.requires_grad:
            ctx.save_for_backward(input, offset, mask, weight, bias)
        output = input.new_empty(
            ModulatedDeformConvFunction._infer_shape(ctx, input, weight))
        ctx._bufs = [input.new_empty(0), input.new_empty(0)]
        _C.modulated_deform_conv_forward(
            input, 
            weight, 
            bias, 
            ctx._bufs[0], 
            offset, 
            mask, 
            output,
            ctx._bufs[1], 
            weight.shape[2], 
            weight.shape[3], 
            ctx.stride,
            ctx.stride, 
            ctx.padding, 
            ctx.padding, 
            ctx.dilation, 
            ctx.dilation,
            ctx.groups, 
            ctx.deformable_groups, 
            ctx.with_bias
        )
        return output

開發者ID:HuangQinJian，項目名稱:DF-Traffic-Sign-Identification，代碼行數:53，代碼來源:deform_conv_func.py

注：本文中的maskrcnn_benchmark._C.modulated_deform_conv_forward方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。