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fixed pylint formating issues

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This commit is contained in:
Harsh188 2020-08-29 11:36:21 +05:30
parent b65191ffd1
commit eb234e5b7c
1 changed files with 32 additions and 27 deletions
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39
tensorflow/python/ops/math_ops.py
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@ -550,8 +550,8 @@ def subtract(x, y, name=None):
Args: Args:
x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
`float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`,
`complex128`, `string`. `complex64`, `complex128`, `string`.
y: A `Tensor`. Must have the same type as x. y: A `Tensor`. Must have the same type as x.
name: A name for the operation (optional). name: A name for the operation (optional).
Returns: Returns:
@ -4953,16 +4953,17 @@ def rsqrt(x, name=None):
return gen_math_ops.rsqrt(x, name) return gen_math_ops.rsqrt(x, name)
@tf_export("math.add", v1=["math.add","add"]) @tf_export("math.add", v1=["math.add", "add"])
@deprecation.deprecated_endpoints("add") @deprecation.deprecated_endpoints("add")
@dispatch.add_dispatch_support @dispatch.add_dispatch_support
def add(x,y,name=None): def add(x, y, name=None):
"""Returns x + y element-wise. """Returns x + y element-wise.
*NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting *NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting
[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html) [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
Given two input tensors, the `tf.add` operation computes the sum for every element in the tensor. Given two input tensors, the `tf.add` operation computes the sum
for every element in the tensor.
Both input and output have a range `(-inf, inf)`. Both input and output have a range `(-inf, inf)`.
@ -4975,8 +4976,9 @@ def add(x,y,name=None):
array([ 6. , 0. , 8.7, -21.9, inf], dtype=float32)> array([ 6. , 0. , 8.7, -21.9, inf], dtype=float32)>
Args: Args:
x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, x: A `Tensor`. Must be one of the following types:
`float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, `bfloat16`, `half`, `float32`, `float64`, `uint8`, `int8`,
`int16`, `int32`, `int64`, `complex64`,
`complex128`, `string`. `complex128`, `string`.
y: A `Tensor`. Must have the same type as x. y: A `Tensor`. Must have the same type as x.
name: A name for the operation (optional). name: A name for the operation (optional).
@ -4986,14 +4988,15 @@ def add(x,y,name=None):
return gen_math_ops.add(x,y,name) return gen_math_ops.add(x,y,name)
@tf_export("math.acos", v1=["math.acos","acos"]) @tf_export("math.acos", v1=["math.acos", "acos"])
@deprecation.deprecated_endpoints("acos") @deprecation.deprecated_endpoints("acos")
@dispatch.add_dispatch_support @dispatch.add_dispatch_support
def acos(x,name=None): def acos(x, name=None):
"""Computes acos of x element-wise. """Computes acos of x element-wise.
Provided an input tensor, the `tf.math.acos` operation returns the inverse cosine of Provided an input tensor, the `tf.math.acos` operation
each element of the tensor. If `y = tf.math.cos(x)` then, `x = tf.math.acos(y)`. returns the inverse cosine of each element of the tensor.
If `y = tf.math.cos(x)` then, `x = tf.math.acos(y)`.
Input range is `[-1, 1]` and the output has a range of `[0, pi]`. Input range is `[-1, 1]` and the output has a range of `[0, pi]`.
@ -5007,8 +5010,8 @@ def acos(x,name=None):
Args: Args:
x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
`float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`,
`complex128`, `string`. `int64`, `complex64`, `complex128`, `string`.
name: A name for the operation (optional). name: A name for the operation (optional).
Returns: Returns:
A `Tensor`. Has the same type as x. A `Tensor`. Has the same type as x.
@ -5016,13 +5019,14 @@ def acos(x,name=None):
return gen_math_ops.acos(x,name) return gen_math_ops.acos(x,name)
@tf_export("math.floor", v1=["math.floor","floor"]) @tf_export("math.floor", v1=["math.floor", "floor"])
@deprecation.deprecated_endpoints("floor") @deprecation.deprecated_endpoints("floor")
@dispatch.add_dispatch_support @dispatch.add_dispatch_support
def floor(x,name=None): def floor(x, name=None):
"""Returns element-wise largest integer not greater than x. """Returns element-wise largest integer not greater than x.
Both input range is `(-inf,inf)` and the ouput range consists of all integer values. Both input range is `(-inf, inf)` and the
ouput range consists of all integer values.
For example: For example:
@ -5032,7 +5036,8 @@ def floor(x,name=None):
array([ 1., -2., 5., -3., 0., inf], dtype=float32)> array([ 1., -2., 5., -3., 0., inf], dtype=float32)>
Args: Args:
x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`. x: A `Tensor`. Must be one of the following types:
`bfloat16`, `half`, `float32`, `float64`.
name: A name for the operation (optional). name: A name for the operation (optional).
Returns: Returns:
A `Tensor`. Has the same type as x. A `Tensor`. Has the same type as x.