本文整理汇总了Python中tensorflow.python.ops.nn_ops.depthwise_conv2d_native_backprop_input函数的典型用法代码示例。如果您正苦于以下问题：Python depthwise_conv2d_native_backprop_input函数的具体用法？Python depthwise_conv2d_native_backprop_input怎么用？Python depthwise_conv2d_native_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depthwise_conv2d_native_backprop_input函数的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: _GetVal
def _GetVal(use_xla):
with self.test_session():
t0 = constant_op.constant(input_sizes, shape=[len(input_sizes)])
t1 = array_ops.placeholder(np.float32, shape=filter_sizes)
t2 = array_ops.placeholder(np.float32, shape=output_sizes)
if use_xla:
with self.test_scope():
backprop = nn_ops.depthwise_conv2d_native_backprop_input(
t0, t1, t2, strides=[1, stride, stride, 1], padding=padding)
else:
backprop = nn_ops.depthwise_conv2d_native_backprop_input(
t0, t1, t2, strides=[1, stride, stride, 1], padding=padding)
ret = backprop.eval({t1: x1, t2: x2})
self.assertShapeEqual(ret, backprop)
return ret示例2: _DepthwiseConv2dNativeGrad
def _DepthwiseConv2dNativeGrad(op, grad):
return [
nn_ops.depthwise_conv2d_native_backprop_input(
array_ops.shape(op.inputs[0]), op.inputs[1], grad,
op.get_attr("strides"), op.get_attr("padding")),
nn_ops.depthwise_conv2d_native_backprop_filter(
op.inputs[0], array_ops.shape(op.inputs[1]), grad,
op.get_attr("strides"), op.get_attr("padding"))
]示例3: _GetVal
def _GetVal(use_gpu):
with self.cached_session(use_gpu=use_gpu):
t0 = constant_op.constant(input_sizes, shape=[len(input_sizes)])
t1 = constant_op.constant(x1, shape=filter_sizes)
t2 = constant_op.constant(x2, shape=output_sizes)
backprop = nn_ops.depthwise_conv2d_native_backprop_input(
t0, t1, t2, strides=[1, stride, stride, 1], padding=padding)
ret = self.evaluate(backprop)
self.assertShapeEqual(ret, backprop)
return ret示例4: _DepthwiseConv2dNativeBackpropFilterGrad
def _DepthwiseConv2dNativeBackpropFilterGrad(op, grad):
return [
nn_ops.depthwise_conv2d_native_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"),
data_format=op.get_attr("data_format")), None,
nn_ops.depthwise_conv2d_native(
op.inputs[0],
grad,
dilations=op.get_attr("dilations"),
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=op.get_attr("data_format"))
]