本文整理汇总了Python中tensorflow.python.ops.nn_ops.conv3d_backprop_input_v2方法的典型用法代码示例。如果您正苦于以下问题：Python nn_ops.conv3d_backprop_input_v2方法的具体用法？Python nn_ops.conv3d_backprop_input_v2怎么用？Python nn_ops.conv3d_backprop_input_v2使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tensorflow.python.ops.nn_ops的用法示例。
在下文中一共展示了nn_ops.conv3d_backprop_input_v2方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _Conv3DGrad
# 需要导入模块: from tensorflow.python.ops import nn_ops [as 别名]
# 或者: from tensorflow.python.ops.nn_ops import conv3d_backprop_input_v2 [as 别名]
def _Conv3DGrad(op, grad):
data_format = op.get_attr("data_format")
return [nn_ops.conv3d_backprop_input_v2(array_ops.shape(op.inputs[0]),
op.inputs[1],
grad,
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format),
nn_ops.conv3d_backprop_filter_v2(op.inputs[0],
array_ops.shape(op.inputs[1]),
grad,
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format)] 示例2: _Conv3DBackpropFilterGrad
# 需要导入模块: from tensorflow.python.ops import nn_ops [as 别名]
# 或者: from tensorflow.python.ops.nn_ops import conv3d_backprop_input_v2 [as 别名]
def _Conv3DBackpropFilterGrad(op, grad):
data_format = op.get_attr("data_format")
return [nn_ops.conv3d_backprop_input_v2(array_ops.shape(op.inputs[0]),
grad,
op.inputs[2],
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format),
None,
nn_ops.conv3d(op.inputs[0],
grad,
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format)] 示例3: _Conv3DGrad
# 需要导入模块: from tensorflow.python.ops import nn_ops [as 别名]
# 或者: from tensorflow.python.ops.nn_ops import conv3d_backprop_input_v2 [as 别名]
def _Conv3DGrad(op, grad):
return [nn_ops.conv3d_backprop_input_v2(array_ops.shape(op.inputs[0]),
op.inputs[1],
grad,
strides=op.get_attr("strides"),
padding=op.get_attr("padding")),
nn_ops.conv3d_backprop_filter_v2(op.inputs[0],
array_ops.shape(op.inputs[1]),
grad,
strides=op.get_attr("strides"),
padding=op.get_attr("padding"))] 示例4: _Conv3DBackpropFilterGrad
# 需要导入模块: from tensorflow.python.ops import nn_ops [as 别名]
# 或者: from tensorflow.python.ops.nn_ops import conv3d_backprop_input_v2 [as 别名]
def _Conv3DBackpropFilterGrad(op, grad):
return [nn_ops.conv3d_backprop_input_v2(array_ops.shape(op.inputs[0]),
grad,
op.inputs[2],
strides=op.get_attr("strides"),
padding=op.get_attr("padding")),
None,
nn_ops.conv3d(op.inputs[0],
grad,
strides=op.get_attr("strides"),
padding=op.get_attr("padding"))]