本文整理汇总了Python中quagga.connector.Connector.assign_vstack方法的典型用法代码示例。如果您正苦于以下问题：Python Connector.assign_vstack方法的具体用法？Python Connector.assign_vstack怎么用？Python Connector.assign_vstack使用的例子？那么, 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quagga.connector.Connector的用法示例。
在下文中一共展示了Connector.assign_vstack方法的1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: VerticalStackBlock
# 需要导入模块: from quagga.connector import Connector [as 别名]
# 或者: from quagga.connector.Connector import assign_vstack [as 别名]
class VerticalStackBlock(object):
"""
Concatenates matrices vertically.
Parameters
----------
matrices : Matrix (GpuMatrix or CpuMatrix)
Input matrices that need to be concatenated.
device_id: int
Defines the device's id on which the computation will take place
"""
def __init__(self, *matrices, **kwargs):
# TODO(sergii): change vsplit to aditive_vsplit for propper gradients accumulation
self.context = Context(kwargs.get('device_id'))
device_id = self.context.device_id
self.matrices = []
self.dL_dmatrices = []
self.bpropagable = []
for matrix in matrices:
self.bpropagable.append(matrix.bpropagable)
if matrix.bpropagable:
matrix, dL_dmatrix = matrix.register_usage(device_id, device_id)
self.dL_dmatrices.append(dL_dmatrix)
else:
matrix = matrix.register_usage(device_id)
self.matrices.append(matrix)
nrows = [matrix.nrows for matrix in matrices]
nrows = sum([e for e in nrows[1:]], nrows[0])
dtype = matrices[0].dtype
bu_device_id = device_id if self.dL_dmatrices else None
output = Matrix.empty(nrows, matrices[0].ncols, dtype, device_id)
self.output = Connector(output, bu_device_id)
def fprop(self):
self.output.assign_vstack(self.context, self.matrices)
self.output.fprop()
def bprop(self):
if self.dL_dmatrices:
row_slices = []
nrows = [0]
for matrix, bpropagable in izip(self.matrices, self.bpropagable):
nrows.append(nrows[-1] + int(matrix.nrows))
if bpropagable:
row_slices.append((nrows[-2], nrows[-1]))
self.output.backward_matrix.vsplit(self.context, self.dL_dmatrices, row_slices)