未验证 提交 f5ac9961 编写于 作者: D David Nicolas 提交者: GitHub

fix api math equation dispaly issue; test=document_fix (#42058)

上级 94ffda57
...@@ -94,7 +94,7 @@ def log(x, name=None): ...@@ -94,7 +94,7 @@ def log(x, name=None):
.. math:: .. math::
Out = \\ln(x) Out = \ln(x)
Args: Args:
x (Tensor): Input Tensor. Must be one of the following types: float32, float64. x (Tensor): Input Tensor. Must be one of the following types: float32, float64.
...@@ -213,7 +213,7 @@ def stanh(x, scale_a=0.67, scale_b=1.7159, name=None): ...@@ -213,7 +213,7 @@ def stanh(x, scale_a=0.67, scale_b=1.7159, name=None):
.. math:: .. math::
out = b * \\frac{e^{a * x} - e^{-a * x}}{e^{a * x} + e^{-a * x}} out = b * \frac{e^{a * x} - e^{-a * x}}{e^{a * x} + e^{-a * x}}
Parameters: Parameters:
x (Tensor): The input Tensor with data type float32, float64. x (Tensor): The input Tensor with data type float32, float64.
...@@ -1848,7 +1848,7 @@ def logsumexp(x, axis=None, keepdim=False, name=None): ...@@ -1848,7 +1848,7 @@ def logsumexp(x, axis=None, keepdim=False, name=None):
This OP calculates the log of the sum of exponentials of ``x`` along ``axis`` . This OP calculates the log of the sum of exponentials of ``x`` along ``axis`` .
.. math:: .. math::
logsumexp(x) = \\log\\sum exp(x) logsumexp(x) = \log\sum exp(x)
Args: Args:
x (Tensor): The input Tensor with data type float32 or float64, which x (Tensor): The input Tensor with data type float32 or float64, which
...@@ -2417,7 +2417,7 @@ def log1p(x, name=None): ...@@ -2417,7 +2417,7 @@ def log1p(x, name=None):
Calculates the natural log of the given input tensor, element-wise. Calculates the natural log of the given input tensor, element-wise.
.. math:: .. math::
Out = \\ln(x+1) Out = \ln(x+1)
Args: Args:
x (Tensor): Input Tensor. Must be one of the following types: float32, float64. x (Tensor): Input Tensor. Must be one of the following types: float32, float64.
...@@ -2455,7 +2455,7 @@ def log2(x, name=None): ...@@ -2455,7 +2455,7 @@ def log2(x, name=None):
.. math:: .. math::
Out = \\log_2x Out = \log_2x
Args: Args:
x (Tensor): Input tensor must be one of the following types: float32, float64. x (Tensor): Input tensor must be one of the following types: float32, float64.
...@@ -2507,7 +2507,7 @@ def log10(x, name=None): ...@@ -2507,7 +2507,7 @@ def log10(x, name=None):
.. math:: .. math::
Out = \\log_10_x Out = \log_10_x
Args: Args:
x (Tensor): Input tensor must be one of the following types: float32, float64. x (Tensor): Input tensor must be one of the following types: float32, float64.
...@@ -3289,7 +3289,7 @@ def tanh(x, name=None): ...@@ -3289,7 +3289,7 @@ def tanh(x, name=None):
Tanh Activation Operator. Tanh Activation Operator.
.. math:: .. math::
out = \\frac{e^{x} - e^{-x}}{e^{x} + e^{-x}} out = \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}
Args: Args:
x (Tensor): Input of Tanh operator, an N-D Tensor, with data type float32, float64 or float16. x (Tensor): Input of Tanh operator, an N-D Tensor, with data type float32, float64 or float16.
......
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