本文整理汇总了Python中tensorflow.python.ops.nn_ops.conv3d_backprop_filter_v2函数的典型用法代码示例。如果您正苦于以下问题：Python conv3d_backprop_filter_v2函数的具体用法？Python conv3d_backprop_filter_v2怎么用？Python conv3d_backprop_filter_v2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conv3d_backprop_filter_v2函数的5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: testGradient
def testGradient(self):
with self.test_session():
for padding in ["SAME", "VALID"]:
for stride in [1, 2]:
np.random.seed(1)
in_shape = [2, 4, 3, 3, 2]
in_val = constant_op.constant(
2 * np.random.random_sample(in_shape) - 1, dtype=dtypes.float32)
filter_shape = [3, 3, 3, 2, 3]
strides = [1, stride, stride, stride, 1]
# Make a convolution op with the current settings, just to easily get
# the shape of the output.
conv_out = nn_ops.conv3d(in_val,
array_ops.zeros(filter_shape), strides,
padding)
out_backprop_shape = conv_out.get_shape().as_list()
out_backprop_val = constant_op.constant(
2 * np.random.random_sample(out_backprop_shape) - 1,
dtype=dtypes.float32)
output = nn_ops.conv3d_backprop_filter_v2(in_val, filter_shape,
out_backprop_val, strides,
padding)
err = gradient_checker.compute_gradient_error(
[in_val, out_backprop_val], [in_shape, out_backprop_shape],
output, filter_shape)
print("conv3d_backprop_filter gradient err = %g " % err)
err_tolerance = 1e-3
self.assertLess(err, err_tolerance)示例2: _Conv3DBackpropInputGrad
def _Conv3DBackpropInputGrad(op, grad):
return [None,
nn_ops.conv3d_backprop_filter_v2(grad,
array_ops.shape(op.inputs[1]),
op.inputs[2],
strides=op.get_attr("strides"),
padding=op.get_attr("padding")),
nn_ops.conv3d(grad,
op.inputs[1],
strides=op.get_attr("strides"),
padding=op.get_attr("padding"))]示例3: _Conv3DGrad
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: _Conv3DBackpropInputGrad
def _Conv3DBackpropInputGrad(op, grad):
data_format = op.get_attr("data_format").decode()
return [
None,
nn_ops.conv3d_backprop_filter_v2(
grad,
array_ops.shape(op.inputs[1]),
op.inputs[2],
dilations=op.get_attr("dilations"),
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format),
nn_ops.conv3d(
grad,
op.inputs[1],
dilations=op.get_attr("dilations"),
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format)
]示例5: _Conv3DGrad
def _Conv3DGrad(op, grad):
data_format = op.get_attr("data_format").decode()
return [
nn_ops.conv3d_backprop_input_v2(
array_ops.shape(op.inputs[0]),
op.inputs[1],
grad,
dilations=op.get_attr("dilations"),
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,
dilations=op.get_attr("dilations"),
strides=op.get_attr("strides"),
padding=op.get_attr("padding"),
data_format=data_format)
]