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