Update generated Python Op docs.

Change: 125783676

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.imag.md

@@ -3,7 +3,7 @@
 Returns the imaginary part of a complex number.
 
 Given a tensor `input` of complex numbers, this operation returns a tensor of
-type `float` or `double` that is the imaginary part of each element in
+type `float32` or `float64` that is the imaginary part of each element in
 `input`. All elements in `input` must be complex numbers of the form \(a +
 bj\), where *a* is the real part and *b* is the imaginary part returned by
 this operation.
@@ -23,5 +23,5 @@ tf.imag(input) ==> [4.75, 5.75]
 
 ##### Returns:
 
-  A `Tensor` of type `float` or `double`.
+  A `Tensor` of type `float32` or `float64`.
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.matmul.md

@@ -6,7 +6,7 @@ The inputs must be two-dimensional matrices, with matching inner dimensions,
 possibly after transposition.
 
 Both matrices must be of the same type. The supported types are:
-`float`, `double`, `int32`, `complex64`.
+`float32`, `float64`, `int32`, `complex64`.
 
 Either matrix can be transposed on the fly by setting the corresponding flag
 to `True`. This is `False` by default.
@@ -32,7 +32,7 @@ c = tf.matmul(a, b) => [[58 64]
 ##### Args:
 
 
-*  <b>`a`</b>: `Tensor` of type `float`, `double`, `int32` or `complex64`.
+*  <b>`a`</b>: `Tensor` of type `float32`, `float64`, `int32` or `complex64`.
 *  <b>`b`</b>: `Tensor` with same type as `a`.
 *  <b>`transpose_a`</b>: If `True`, `a` is transposed before multiplication.
 *  <b>`transpose_b`</b>: If `True`, `b` is transposed before multiplication.

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.real.md

@@ -3,7 +3,7 @@
 Returns the real part of a complex number.
 
 Given a tensor `input` of complex numbers, this operation returns a tensor of
-type `float` or `double` that is the real part of each element in `input`.
+type `float32` or `float64` that is the real part of each element in `input`.
 All elements in `input` must be complex numbers of the form \(a + bj\),
 where *a* is the real part returned by this operation and *b* is the
 imaginary part.
@@ -24,5 +24,5 @@ tf.real(input) ==> [-2.25, 3.25]
 
 ##### Returns:
 
-  A `Tensor` of type `float` or `double`.
+  A `Tensor` of type `float32` or `float64`.
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.complex_abs.md

@@ -3,7 +3,7 @@
 Computes the complex absolute value of a tensor.
 
 Given a tensor `x` of complex numbers, this operation returns a tensor of type
-`float` or `double` that is the absolute value of each element in `x`. All
+`float32` or `float64` that is the absolute value of each element in `x`. All
 elements in `x` must be complex numbers of the form \\(a + bj\\). The
 absolute value is computed as \\( \sqrt{a^2 + b^2}\\).
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.abs.md

@@ -13,7 +13,7 @@ number.
 ##### Args:
 
 
-*  <b>`x`</b>: A `Tensor` or `SparseTensor` of type `float`, `double`, `int32`, or
+*  <b>`x`</b>: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
     `int64`.
 *  <b>`name`</b>: A name for the operation (optional).
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.pow.md

@@ -14,10 +14,10 @@ tf.pow(x, y) ==> [[256, 65536], [9, 27]]
 ##### Args:
 
 
-*  <b>`x`</b>: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
-   `complex128`.
-*  <b>`y`</b>: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
-   `complex128`.
+*  <b>`x`</b>: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+   or `complex128`.
+*  <b>`y`</b>: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+   or `complex128`.
 *  <b>`name`</b>: A name for the operation (optional).
 
 ##### Returns:

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.sigmoid.md

@@ -7,7 +7,7 @@ Specifically, `y = 1 / (1 + exp(-x))`.
 ##### Args:
 
 
-*  <b>`x`</b>: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+*  <b>`x`</b>: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
     or `qint32`.
 *  <b>`name`</b>: A name for the operation (optional).
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.round.md

@@ -12,7 +12,7 @@ tf.round(a) ==> [ 1.0, 3.0, 2.0, -4.0 ]
 ##### Args:
 
 
-*  <b>`x`</b>: A `Tensor` of type `float` or `double`.
+*  <b>`x`</b>: A `Tensor` of type `float32` or `float64`.
 *  <b>`name`</b>: A name for the operation (optional).
 
 ##### Returns:

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.tanh.md

@@ -5,7 +5,7 @@ Computes hyperbolic tangent of `x` element-wise.
 ##### Args:
 
 
-*  <b>`x`</b>: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+*  <b>`x`</b>: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
     or `qint32`.
 *  <b>`name`</b>: A name for the operation (optional).
 

tensorflow/g3doc/api_docs/python/math_ops.md

@@ -244,7 +244,7 @@ number.
 ##### Args:
 
 
-*  <b>`x`</b>: A `Tensor` or `SparseTensor` of type `float`, `double`, `int32`, or
+*  <b>`x`</b>: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
     `int64`.
 *  <b>`name`</b>: A name for the operation (optional).
 
@@ -350,7 +350,7 @@ tf.round(a) ==> [ 1.0, 3.0, 2.0, -4.0 ]
 ##### Args:
 
 
-*  <b>`x`</b>: A `Tensor` of type `float` or `double`.
+*  <b>`x`</b>: A `Tensor` of type `float32` or `float64`.
 *  <b>`name`</b>: A name for the operation (optional).
 
 ##### Returns:
@@ -414,10 +414,10 @@ tf.pow(x, y) ==> [[256, 65536], [9, 27]]
 ##### Args:
 
 
-*  <b>`x`</b>: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
-   `complex128`.
-*  <b>`y`</b>: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
-   `complex128`.
+*  <b>`x`</b>: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+   or `complex128`.
+*  <b>`y`</b>: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+   or `complex128`.
 *  <b>`name`</b>: A name for the operation (optional).
 
 ##### Returns:
@@ -1200,7 +1200,7 @@ The inputs must be two-dimensional matrices, with matching inner dimensions,
 possibly after transposition.
 
 Both matrices must be of the same type. The supported types are:
-`float`, `double`, `int32`, `complex64`.
+`float32`, `float64`, `int32`, `complex64`.
 
 Either matrix can be transposed on the fly by setting the corresponding flag
 to `True`. This is `False` by default.
@@ -1226,7 +1226,7 @@ c = tf.matmul(a, b) => [[58 64]
 ##### Args:
 
 
-*  <b>`a`</b>: `Tensor` of type `float`, `double`, `int32` or `complex64`.
+*  <b>`a`</b>: `Tensor` of type `float32`, `float64`, `int32` or `complex64`.
 *  <b>`b`</b>: `Tensor` with same type as `a`.
 *  <b>`transpose_a`</b>: If `True`, `a` is transposed before multiplication.
 *  <b>`transpose_b`</b>: If `True`, `b` is transposed before multiplication.
@@ -1854,7 +1854,7 @@ tf.complex(real, imag) ==> [[2.25 + 4.75j], [3.25 + 5.75j]]
 Computes the complex absolute value of a tensor.
 
 Given a tensor `x` of complex numbers, this operation returns a tensor of type
-`float` or `double` that is the absolute value of each element in `x`. All
+`float32` or `float64` that is the absolute value of each element in `x`. All
 elements in `x` must be complex numbers of the form \\(a + bj\\). The
 absolute value is computed as \\( \sqrt{a^2 + b^2}\\).
 
@@ -1914,7 +1914,7 @@ tf.conj(input) ==> [-2.25 - 4.75j, 3.25 - 5.75j]
 Returns the imaginary part of a complex number.
 
 Given a tensor `input` of complex numbers, this operation returns a tensor of
-type `float` or `double` that is the imaginary part of each element in
+type `float32` or `float64` that is the imaginary part of each element in
 `input`. All elements in `input` must be complex numbers of the form \(a +
 bj\), where *a* is the real part and *b* is the imaginary part returned by
 this operation.
@@ -1934,7 +1934,7 @@ tf.imag(input) ==> [4.75, 5.75]
 
 ##### Returns:
 
-  A `Tensor` of type `float` or `double`.
+  A `Tensor` of type `float32` or `float64`.
 
 
 - - -
@@ -1944,7 +1944,7 @@ tf.imag(input) ==> [4.75, 5.75]
 Returns the real part of a complex number.
 
 Given a tensor `input` of complex numbers, this operation returns a tensor of
-type `float` or `double` that is the real part of each element in `input`.
+type `float32` or `float64` that is the real part of each element in `input`.
 All elements in `input` must be complex numbers of the form \(a + bj\),
 where *a* is the real part returned by this operation and *b* is the
 imaginary part.
@@ -1965,7 +1965,7 @@ tf.real(input) ==> [-2.25, 3.25]
 
 ##### Returns:
 
-  A `Tensor` of type `float` or `double`.
+  A `Tensor` of type `float32` or `float64`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/nn.md

@@ -186,7 +186,7 @@ Specifically, `y = 1 / (1 + exp(-x))`.
 ##### Args:
 
 
-*  <b>`x`</b>: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+*  <b>`x`</b>: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
     or `qint32`.
 *  <b>`name`</b>: A name for the operation (optional).
 
@@ -205,7 +205,7 @@ Computes hyperbolic tangent of `x` element-wise.
 ##### Args:
 
 
-*  <b>`x`</b>: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+*  <b>`x`</b>: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
     or `qint32`.
 *  <b>`name`</b>: A name for the operation (optional).