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)
]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")
),
]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)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"))
]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())
]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"),
),
]