提交 41028f57 编写于 作者: Y yangyaming

Refine the doc.

上级 5f1d2cb9
......@@ -1985,8 +1985,7 @@ def row_conv(input, future_context_size, param_attr=None, act=None):
In the above equation:
* :math:`Out_{i}`: The i-th row of output variable with shape [1, D].
* :math:`\\tau`: Future context size. Please note, the shape of
convolution kernel is [future_context_size + 1, D].
* :math:`\\tau`: Future context size.
* :math:`X_{j}`: The j-th row of input variable with shape [1, D].
* :math:`W_{i-j}`: The (i-j)-th row of parameters with shape [1, D].
......@@ -1997,7 +1996,8 @@ def row_conv(input, future_context_size, param_attr=None, act=None):
Args:
input (Variable): Input variable, a 2D LoDTensor with shape [T, D].
future_context_size (int): Future context size.
future_context_size (int): Future context size. Please note, the shape
of convolution kernel is [future_context_size + 1, D].
param_attr (ParamAttr): Attributes of parameters, including
name, initializer etc.
act (str): Non-linear activation to be applied to output variable.
......
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