未验证 提交 5d164968 编写于 作者: N Nyakku Shigure 提交者: GitHub

[docs] fix api labels in math.py (#56682)

上级 c5786be1
...@@ -435,7 +435,7 @@ def multiplex(inputs, index, name=None): ...@@ -435,7 +435,7 @@ def multiplex(inputs, index, name=None):
def scale_(x, scale=1.0, bias=0.0, bias_after_scale=True, act=None, name=None): def scale_(x, scale=1.0, bias=0.0, bias_after_scale=True, act=None, name=None):
""" """
Inplace version of ``scale`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``scale`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_scale`. Please refer to :ref:`api_paddle_scale`.
""" """
if in_dynamic_mode(): if in_dynamic_mode():
return _C_ops.scale_(x, scale, float(bias), bias_after_scale) return _C_ops.scale_(x, scale, float(bias), bias_after_scale)
...@@ -685,7 +685,7 @@ def add(x, y, name=None): ...@@ -685,7 +685,7 @@ def add(x, y, name=None):
def add_(x, y, name=None): def add_(x, y, name=None):
""" """
Inplace version of ``add`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``add`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_add`. Please refer to :ref:`api_paddle_add`.
""" """
out_shape = broadcast_shape(x.shape, y.shape) out_shape = broadcast_shape(x.shape, y.shape)
...@@ -825,7 +825,7 @@ def subtract(x, y, name=None): ...@@ -825,7 +825,7 @@ def subtract(x, y, name=None):
def subtract_(x, y, name=None): def subtract_(x, y, name=None):
""" """
Inplace version of ``subtract`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``subtract`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_subtract`. Please refer to :ref:`api_paddle_subtract`.
""" """
out_shape = broadcast_shape(x.shape, y.shape) out_shape = broadcast_shape(x.shape, y.shape)
...@@ -1003,7 +1003,7 @@ def remainder(x, y, name=None): ...@@ -1003,7 +1003,7 @@ def remainder(x, y, name=None):
def remainder_(x, y, name=None): def remainder_(x, y, name=None):
r""" r"""
Inplace version of ``remainder`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``remainder`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_remainder`. Please refer to :ref:`api_paddle_remainder`.
""" """
out_shape = broadcast_shape(x.shape, y.shape) out_shape = broadcast_shape(x.shape, y.shape)
if out_shape != x.shape: if out_shape != x.shape:
...@@ -1086,7 +1086,7 @@ def multiply(x, y, name=None): ...@@ -1086,7 +1086,7 @@ def multiply(x, y, name=None):
def multiply_(x, y, name=None): def multiply_(x, y, name=None):
""" """
Inplace version of ``multiply`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``multiply`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_multiply`. Please refer to :ref:`api_paddle_multiply`.
""" """
out_shape = broadcast_shape(x.shape, y.shape) out_shape = broadcast_shape(x.shape, y.shape)
...@@ -2287,7 +2287,7 @@ def addmm(input, x, y, beta=1.0, alpha=1.0, name=None): ...@@ -2287,7 +2287,7 @@ def addmm(input, x, y, beta=1.0, alpha=1.0, name=None):
def addmm_(input, x, y, beta=1.0, alpha=1.0, name=None): def addmm_(input, x, y, beta=1.0, alpha=1.0, name=None):
""" """
Inplace version of ``addmm`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``addmm`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_label_addmm`. Please refer to :ref:`api_paddle_addmm`.
""" """
input_shape = input.shape input_shape = input.shape
x_shape = x.shape x_shape = x.shape
...@@ -3575,7 +3575,7 @@ def clip(x, min=None, max=None, name=None): ...@@ -3575,7 +3575,7 @@ def clip(x, min=None, max=None, name=None):
def clip_(x, min=None, max=None, name=None): def clip_(x, min=None, max=None, name=None):
""" """
Inplace version of ``clip`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``clip`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_clip`. Please refer to :ref:`api_paddle_clip`.
""" """
fmin = float(np.finfo(np.float32).min) fmin = float(np.finfo(np.float32).min)
fmax = float(np.finfo(np.float32).max) fmax = float(np.finfo(np.float32).max)
...@@ -4638,7 +4638,7 @@ def tanh(x, name=None): ...@@ -4638,7 +4638,7 @@ def tanh(x, name=None):
def tanh_(x, name=None): def tanh_(x, name=None):
r""" r"""
Inplace version of ``tanh`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``tanh`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_tanh`. Please refer to :ref:`api_paddle_tanh`.
""" """
return _C_ops.tanh_(x) return _C_ops.tanh_(x)
...@@ -5287,7 +5287,7 @@ def lerp(x, y, weight, name=None): ...@@ -5287,7 +5287,7 @@ def lerp(x, y, weight, name=None):
def lerp_(x, y, weight, name=None): def lerp_(x, y, weight, name=None):
r""" r"""
Inplace version of ``lerp`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``lerp`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_lerp`. Please refer to :ref:`api_paddle_lerp`.
""" """
out_shape = broadcast_shape(x.shape, y.shape) out_shape = broadcast_shape(x.shape, y.shape)
check_type(weight, 'weight', (float, paddle.Tensor, Variable), 'lerp') check_type(weight, 'weight', (float, paddle.Tensor, Variable), 'lerp')
...@@ -5347,7 +5347,7 @@ def erfinv(x, name=None): ...@@ -5347,7 +5347,7 @@ def erfinv(x, name=None):
def erfinv_(x, name=None): def erfinv_(x, name=None):
r""" r"""
Inplace version of ``erfinv`` API, the output Tensor will be inplaced with input ``x``. Inplace version of ``erfinv`` API, the output Tensor will be inplaced with input ``x``.
Please refer to :ref:`api_tensor_erfinv`. Please refer to :ref:`api_paddle_erfinv`.
""" """
check_type(x, 'x', (paddle.Tensor, Variable), 'erfinv') check_type(x, 'x', (paddle.Tensor, Variable), 'erfinv')
return _C_ops.erfinv_(x) return _C_ops.erfinv_(x)
......
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