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authorGravatar A. Unique TensorFlower <nobody@tensorflow.org>2016-04-04 08:40:17 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-04-04 09:42:35 -0700
commite1d4a5041ee015b8083383670c9a20b1ea1c4c55 (patch)
treebc99bf5484a731a240544af287a63756f4c688f5
parent8fb5a9e6b75bf94765bd64f6df12fb6386c67bca (diff)
Update generated Python Op docs.
Change: 118948346
-rw-r--r--tensorflow/g3doc/api_docs/python/index.md2
-rw-r--r--tensorflow/g3doc/api_docs/python/math_ops.md96
2 files changed, 80 insertions, 18 deletions
diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index 4989042c00..947170964b 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -167,6 +167,8 @@
* [`ifft`](../../api_docs/python/math_ops.md#ifft)
* [`ifft2d`](../../api_docs/python/math_ops.md#ifft2d)
* [`ifft3d`](../../api_docs/python/math_ops.md#ifft3d)
+ * [`igamma`](../../api_docs/python/math_ops.md#igamma)
+ * [`igammac`](../../api_docs/python/math_ops.md#igammac)
* [`imag`](../../api_docs/python/math_ops.md#imag)
* [`inv`](../../api_docs/python/math_ops.md#inv)
* [`invert_permutation`](../../api_docs/python/math_ops.md#invert_permutation)
diff --git a/tensorflow/g3doc/api_docs/python/math_ops.md b/tensorflow/g3doc/api_docs/python/math_ops.md
index 736c948cb4..403621e310 100644
--- a/tensorflow/g3doc/api_docs/python/math_ops.md
+++ b/tensorflow/g3doc/api_docs/python/math_ops.md
@@ -587,74 +587,70 @@ bivariate beta function.
### `tf.lgamma(x, name=None)` {#lgamma}
-Computes `ln(|gamma(x)|)` element-wise.
+Computes the log of the absolute value of `Gamma(x)` element-wise.
##### Args:
-* <b>`x`</b>: A Tensor with type `float`, or `double`.
+* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `complex64`, `int64`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
- A Tensor with the same type as `x` if `x.dtype != qint32` otherwise
- the return type is `quint8`.
+ A `Tensor`. Has the same type as `x`.
- - -
### `tf.digamma(x, name=None)` {#digamma}
-Computes Psi, the derivative of lgamma, `ln(|gamma(x)|)`, element-wise.
+Computes Psi, the derivative of Lgamma (the log of the absolute value of
+
+`Gamma(x)`), element-wise.
##### Args:
-* <b>`x`</b>: A Tensor with type `float`, or `double`.
+* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `complex64`, `int64`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
- A Tensor with the same type as `x` if `x.dtype != qint32` otherwise
- the return type is `quint8`.
+ A `Tensor`. Has the same type as `x`.
- - -
### `tf.erf(x, name=None)` {#erf}
-Computes Gauss error function of `x` element-wise.
+Computes the Gauss error function of `x` element-wise.
##### Args:
-* <b>`x`</b>: A Tensor with type `float`, `double`, `int32`, `int64`,
- or `qint32`.
+* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `complex64`, `int64`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
- A Tensor with the same type as `x` if `x.dtype != qint32` otherwise
- the return type is `quint8`.
+ A `Tensor`. Has the same type as `x`.
- - -
### `tf.erfc(x, name=None)` {#erfc}
-Computes complementary error function of `x` element-wise.
+Computes the complementary error function of `x` element-wise.
##### Args:
-* <b>`x`</b>: A Tensor with type `float`, `double`, `int32`, `int64`,
- or `qint32`.
+* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `complex64`, `int64`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
- A Tensor with the same type as `x` if `x.dtype != qint32` otherwise
- the return type is `quint8`.
+ A `Tensor`. Has the same type as `x`.
- - -
@@ -675,6 +671,70 @@ Returns (x - y)(x - y) element-wise.
A `Tensor`. Has the same type as `x`.
+- - -
+
+### `tf.igamma(a, x, name=None)` {#igamma}
+
+Compute the lower regularized incomplete Gamma function `Q(a, x)`.
+
+The lower regularized incomplete Gamma function is defined as:
+
+```
+P(a, x) = gamma(a, x) / Gamma(x) = 1 - Q(a, x)
+```
+where
+```
+gamma(a, x) = int_{0}^{x} t^{a-1} exp(-t) dt
+```
+is the lower incomplete Gamma function.
+
+Note, above `Q(a, x)` (`Igammac`) is the upper regularized complete
+Gamma function.
+
+##### Args:
+
+
+* <b>`a`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`.
+* <b>`x`</b>: A `Tensor`. Must have the same type as `a`.
+* <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+ A `Tensor`. Has the same type as `a`.
+
+
+- - -
+
+### `tf.igammac(a, x, name=None)` {#igammac}
+
+Compute the upper regularized incomplete Gamma function `Q(a, x)`.
+
+The upper regularized incomplete Gamma function is defined as:
+
+```
+Q(a, x) = Gamma(a, x) / Gamma(x) = 1 - P(a, x)
+```
+where
+```
+Gamma(a, x) = int_{x}^{\infty} t^{a-1} exp(-t) dt
+```
+is the upper incomplete Gama function.
+
+Note, above `P(a, x)` (`Igamma`) is the lower regularized complete
+Gamma function.
+
+##### Args:
+
+
+* <b>`a`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`.
+* <b>`x`</b>: A `Tensor`. Must have the same type as `a`.
+* <b>`name`</b>: A name for the operation (optional).
+
+##### Returns:
+
+ A `Tensor`. Has the same type as `a`.
+
+
## Matrix Math Functions