diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.imag.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.imag.md
index 1dfcadbb9574e64458a980aaaacaa5e5640765ca..3df72723cf9f63d67e8e8e1f4ff8bfb324a70f0f 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.imag.md
+++ b/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`.
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.matmul.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.matmul.md
index 6602562ecc5c0dc8ac10b6b41dac55a15449643d..ec289a77d4cd315d78dbba7e83fc7d2b3e298983 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.matmul.md
+++ b/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:
-* `a`: `Tensor` of type `float`, `double`, `int32` or `complex64`.
+* `a`: `Tensor` of type `float32`, `float64`, `int32` or `complex64`.
* `b`: `Tensor` with same type as `a`.
* `transpose_a`: If `True`, `a` is transposed before multiplication.
* `transpose_b`: If `True`, `b` is transposed before multiplication.
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.real.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.real.md
index 3be066f588ca15906c20010910b1b140431317d6..993fddd96ee4a07706f1b6a52643cf36700eb61c 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.real.md
+++ b/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`.
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.complex_abs.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.complex_abs.md
index 1cb76668d64ac2cd53024ab3395c14ec3a65c944..c757f73a617a9a2df89c4135a8b1404e023ae771 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.complex_abs.md
+++ b/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}\\).
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.abs.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.abs.md
index fc0d0f723db8b834530525dde21bcc6be407fe65..58c7d0521fd00eeca5d2fe4d591ecc578bb1cb1f 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.abs.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.abs.md
@@ -13,7 +13,7 @@ number.
##### Args:
-* `x`: A `Tensor` or `SparseTensor` of type `float`, `double`, `int32`, or
+* `x`: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
`int64`.
* `name`: A name for the operation (optional).
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.pow.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.pow.md
index 7f88cccb30a10a96053db6569fef2a8c42504da1..fbb53fc9a1d2ac5d8393ef1711fc6731921a3da5 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.pow.md
+++ b/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:
-* `x`: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
- `complex128`.
-* `y`: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
- `complex128`.
+* `x`: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+ or `complex128`.
+* `y`: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+ or `complex128`.
* `name`: A name for the operation (optional).
##### Returns:
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.sigmoid.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.sigmoid.md
index b056a4871655f75135c3eaa9d9f78b421dadb98b..bdb0e7e49b1615350c7efe772d3d06639bac307b 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.sigmoid.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.sigmoid.md
@@ -7,7 +7,7 @@ Specifically, `y = 1 / (1 + exp(-x))`.
##### Args:
-* `x`: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+* `x`: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
or `qint32`.
* `name`: A name for the operation (optional).
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.round.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.round.md
index 8d2ce3292163fb65edd8091eff4d69070bae8fb7..e408991b5210ea241d1a0e140d60fb189fca67d7 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.round.md
+++ b/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:
-* `x`: A `Tensor` of type `float` or `double`.
+* `x`: A `Tensor` of type `float32` or `float64`.
* `name`: A name for the operation (optional).
##### Returns:
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.tanh.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.tanh.md
index b41e51c019482287fecfe5e9be1b552cea942c38..6f42cfdc2f0fded4c5c31430593894b1fe8a31f9 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.tanh.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.tanh.md
@@ -5,7 +5,7 @@ Computes hyperbolic tangent of `x` element-wise.
##### Args:
-* `x`: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+* `x`: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
or `qint32`.
* `name`: A name for the operation (optional).
diff --git a/tensorflow/g3doc/api_docs/python/math_ops.md b/tensorflow/g3doc/api_docs/python/math_ops.md
index da15bc8ebfec4f40c7fc76877ebece0dbe0396d5..fb5a4665c121980e90003a568ed85dc5802147fa 100644
--- a/tensorflow/g3doc/api_docs/python/math_ops.md
+++ b/tensorflow/g3doc/api_docs/python/math_ops.md
@@ -244,7 +244,7 @@ number.
##### Args:
-* `x`: A `Tensor` or `SparseTensor` of type `float`, `double`, `int32`, or
+* `x`: A `Tensor` or `SparseTensor` of type `float32`, `float64`, `int32`, or
`int64`.
* `name`: A name for the operation (optional).
@@ -350,7 +350,7 @@ tf.round(a) ==> [ 1.0, 3.0, 2.0, -4.0 ]
##### Args:
-* `x`: A `Tensor` of type `float` or `double`.
+* `x`: A `Tensor` of type `float32` or `float64`.
* `name`: A name for the operation (optional).
##### Returns:
@@ -414,10 +414,10 @@ tf.pow(x, y) ==> [[256, 65536], [9, 27]]
##### Args:
-* `x`: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
- `complex128`.
-* `y`: A `Tensor` of type `float`, `double`, `int32`, `int64`, `complex64`, or
- `complex128`.
+* `x`: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+ or `complex128`.
+* `y`: A `Tensor` of type `float32`, `float64`, `int32`, `int64`, `complex64`,
+ or `complex128`.
* `name`: 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:
-* `a`: `Tensor` of type `float`, `double`, `int32` or `complex64`.
+* `a`: `Tensor` of type `float32`, `float64`, `int32` or `complex64`.
* `b`: `Tensor` with same type as `a`.
* `transpose_a`: If `True`, `a` is transposed before multiplication.
* `transpose_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`.
- - -
diff --git a/tensorflow/g3doc/api_docs/python/nn.md b/tensorflow/g3doc/api_docs/python/nn.md
index d1703f114294a7b70033b548ee9b62b171f7190a..630f0c4e67bab022221b9f4c4af57bbb369c141d 100644
--- a/tensorflow/g3doc/api_docs/python/nn.md
+++ b/tensorflow/g3doc/api_docs/python/nn.md
@@ -186,7 +186,7 @@ Specifically, `y = 1 / (1 + exp(-x))`.
##### Args:
-* `x`: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+* `x`: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
or `qint32`.
* `name`: A name for the operation (optional).
@@ -205,7 +205,7 @@ Computes hyperbolic tangent of `x` element-wise.
##### Args:
-* `x`: A Tensor with type `float`, `double`, `int32`, `complex64`, `int64`,
+* `x`: A Tensor with type `float32`, `float64`, `int32`, `complex64`, `int64`,
or `qint32`.
* `name`: A name for the operation (optional).