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Python nn_ops.conv2d_backprop_input函数代码示例

本文整理汇总了Python中tensorflow.python.ops.nn_ops.conv2d_backprop_input函数的典型用法代码示例。如果您正苦于以下问题:Python conv2d_backprop_input函数的具体用法?Python conv2d_backprop_input怎么用?Python conv2d_backprop_input使用的例子?那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。


在下文中一共展示了conv2d_backprop_input函数的6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: _Conv2DGrad

def _Conv2DGrad(op, grad):
  dilations = op.get_attr("dilations")
  strides = op.get_attr("strides")
  padding = op.get_attr("padding")
  use_cudnn_on_gpu = op.get_attr("use_cudnn_on_gpu")
  data_format = op.get_attr("data_format")
  shape_0, shape_1 = array_ops.shape_n([op.inputs[0], op.inputs[1]])
  return [
      nn_ops.conv2d_backprop_input(
          shape_0,
          op.inputs[1],
          grad,
          dilations=dilations,
          strides=strides,
          padding=padding,
          use_cudnn_on_gpu=use_cudnn_on_gpu,
          data_format=data_format),
      nn_ops.conv2d_backprop_filter(
          op.inputs[0],
          shape_1,
          grad,
          dilations=dilations,
          strides=strides,
          padding=padding,
          use_cudnn_on_gpu=use_cudnn_on_gpu,
          data_format=data_format)
  ]
开发者ID:Huoxubeiyin,项目名称:tensorflow,代码行数:27,代码来源:nn_grad.py

示例2: _Conv2DGrad

def _Conv2DGrad(op, grad):
    return [
        nn_ops.conv2d_backprop_input(
            array_ops.shape(op.inputs[0]), op.inputs[1], grad, op.get_attr("strides"), op.get_attr("padding")
        ),
        nn_ops.conv2d_backprop_filter(
            op.inputs[0], array_ops.shape(op.inputs[1]), grad, op.get_attr("strides"), op.get_attr("padding")
        ),
    ]
开发者ID:swapnilashtekar,项目名称:tensorflow,代码行数:9,代码来源:nn_grad.py

示例3: testBackwardInputGradient

 def testBackwardInputGradient(self):
   np.random.seed(2)
   in_shape = LayerShape(batch=8, height=32, width=32, channels=8)
   filter_shape = FilterShape(
       height=7, width=7, in_channels=8, out_channels=128)
   filter_op = self._random_data_op(filter_shape)
   out_op = self._random_out_op(in_shape, filter_shape)
   input_gradient_op = nn_ops.conv2d_backprop_input(
       in_shape, filter_op, out_op, strides=_STRIDES, padding=_PADDING)
   self._assert_reproducible(input_gradient_op)
开发者ID:kylin9872,项目名称:tensorflow,代码行数:10,代码来源:cudnn_determinism_test.py

示例4: _Conv2DBackpropFilterGrad

def _Conv2DBackpropFilterGrad(op, grad):
  return [
      nn_ops.conv2d_backprop_input(
          array_ops.shape(op.inputs[0]), grad, op.inputs[2],
          op.get_attr("strides"),
          op.get_attr("padding"),
          op.get_attr("use_cudnn_on_gpu"),
          op.get_attr("data_format")),
      None,
      nn_ops.conv2d(
          op.inputs[0], grad,
          op.get_attr("strides"),
          op.get_attr("padding"),
          op.get_attr("use_cudnn_on_gpu"),
          op.get_attr("data_format"))
  ]
开发者ID:Jackhuang945,项目名称:tensorflow,代码行数:16,代码来源:nn_grad.py

示例5: _Conv2DBackpropFilterGrad

def _Conv2DBackpropFilterGrad(op, grad):
  return [
      nn_ops.conv2d_backprop_input(
          array_ops.shape(op.inputs[0]),
          grad,
          op.inputs[2],
          dilations=op.get_attr("dilations"),
          strides=op.get_attr("strides"),
          padding=op.get_attr("padding"),
          use_cudnn_on_gpu=op.get_attr("use_cudnn_on_gpu"),
          data_format=op.get_attr("data_format").decode()), None,
      nn_ops.conv2d(
          op.inputs[0],
          grad,
          dilations=op.get_attr("dilations"),
          strides=op.get_attr("strides"),
          padding=op.get_attr("padding"),
          use_cudnn_on_gpu=op.get_attr("use_cudnn_on_gpu"),
          data_format=op.get_attr("data_format").decode())
  ]
开发者ID:adit-chandra,项目名称:tensorflow,代码行数:20,代码来源:nn_grad.py

示例6: _Conv2DGrad

def _Conv2DGrad(op, grad):
    return [
        nn_ops.conv2d_backprop_input(
            array_ops.shape(op.inputs[0]),
            op.inputs[1],
            grad,
            op.get_attr("strides"),
            op.get_attr("padding"),
            op.get_attr("use_cudnn_on_gpu"),
            op.get_attr("data_format"),
        ),
        nn_ops.conv2d_backprop_filter(
            op.inputs[0],
            array_ops.shape(op.inputs[1]),
            grad,
            op.get_attr("strides"),
            op.get_attr("padding"),
            op.get_attr("use_cudnn_on_gpu"),
            op.get_attr("data_format"),
        ),
    ]
开发者ID:adsar,项目名称:tensorflow,代码行数:21,代码来源:nn_grad.py


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