diff options
| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-01-31 19:35:57 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-01-31 19:48:38 -0800 |
| commit | 3cbda2de36ffbbdec400a6ada13ea09d1fa69504 (patch) | |
| tree | c4b118a6ea15f5df92485c251050b090b0a01e2b | |
| parent | bb5ba002c9b41e2f01e53ffc49d69422d2973145 (diff) | |
Update generated Python Op docs.
Change: 146197150
14 files changed, 1270 insertions, 1268 deletions
diff --git a/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md b/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md index f03c54bbec..3159d8b912 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md +++ b/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md @@ -177,7 +177,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Affine.forward_event_shape(input_shape, name='forward_event_shape')` {#Affine.forward_event_shape} +#### `tf.contrib.distributions.bijector.Affine.forward_event_shape(input_shape)` {#Affine.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Affine.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Affine.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -191,8 +212,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -222,48 +243,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Affine.get_forward_event_shape(input_shape)` {#Affine.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Affine.get_inverse_event_shape(output_shape)` {#Affine.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Affine.graph_parents` {#Affine.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -326,7 +305,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Affine.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Affine.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Affine.inverse_event_shape(output_shape)` {#Affine.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Affine.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Affine.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -340,8 +340,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -539,7 +539,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.forward_event_shape(input_shape, name='forward_event_shape')` {#AffineLinearOperator.forward_event_shape} +#### `tf.contrib.distributions.bijector.AffineLinearOperator.forward_event_shape(input_shape)` {#AffineLinearOperator.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.AffineLinearOperator.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#AffineLinearOperator.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -553,8 +574,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -584,48 +605,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.get_forward_event_shape(input_shape)` {#AffineLinearOperator.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.get_inverse_event_shape(output_shape)` {#AffineLinearOperator.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.AffineLinearOperator.graph_parents` {#AffineLinearOperator.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -688,7 +667,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.inverse_event_shape(output_shape, name='inverse_event_shape')` {#AffineLinearOperator.inverse_event_shape} +#### `tf.contrib.distributions.bijector.AffineLinearOperator.inverse_event_shape(output_shape)` {#AffineLinearOperator.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.AffineLinearOperator.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#AffineLinearOperator.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -702,8 +702,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -946,9 +946,10 @@ Subclass Requirements: functions to avoid computing the `inverse_log_det_jacobian` or the `inverse`, respectively. -- Subclasses should implement `_get_forward_event_shape`, - `_forward_event_shape` (and `inverse` counterparts) if the transformation is - shape-changing. By default the event-shape is assumed unchanged from input. +- Subclasses should implement `_forward_event_shape`, + `_forward_event_shape_tensor` (and `inverse` counterparts) if the + transformation is shape-changing. By default the event-shape is assumed + unchanged from input. Tips for implementing `_inverse` and `_inverse_log_det_jacobian`: @@ -1066,7 +1067,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Bijector.forward_event_shape(input_shape, name='forward_event_shape')` {#Bijector.forward_event_shape} +#### `tf.contrib.distributions.bijector.Bijector.forward_event_shape(input_shape)` {#Bijector.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Bijector.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Bijector.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -1080,8 +1102,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -1111,48 +1133,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Bijector.get_forward_event_shape(input_shape)` {#Bijector.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Bijector.get_inverse_event_shape(output_shape)` {#Bijector.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Bijector.graph_parents` {#Bijector.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -1215,7 +1195,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Bijector.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Bijector.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Bijector.inverse_event_shape(output_shape)` {#Bijector.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Bijector.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Bijector.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -1229,8 +1230,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -1394,7 +1395,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Chain.forward_event_shape(input_shape, name='forward_event_shape')` {#Chain.forward_event_shape} +#### `tf.contrib.distributions.bijector.Chain.forward_event_shape(input_shape)` {#Chain.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Chain.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Chain.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -1408,8 +1430,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -1439,48 +1461,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Chain.get_forward_event_shape(input_shape)` {#Chain.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Chain.get_inverse_event_shape(output_shape)` {#Chain.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Chain.graph_parents` {#Chain.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -1543,7 +1523,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Chain.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Chain.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Chain.inverse_event_shape(output_shape)` {#Chain.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Chain.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Chain.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -1557,8 +1558,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -1699,7 +1700,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.forward_event_shape(input_shape, name='forward_event_shape')` {#CholeskyOuterProduct.forward_event_shape} +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.forward_event_shape(input_shape)` {#CholeskyOuterProduct.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#CholeskyOuterProduct.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -1713,8 +1735,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -1744,48 +1766,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.get_forward_event_shape(input_shape)` {#CholeskyOuterProduct.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.get_inverse_event_shape(output_shape)` {#CholeskyOuterProduct.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.CholeskyOuterProduct.graph_parents` {#CholeskyOuterProduct.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -1848,7 +1828,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.inverse_event_shape(output_shape, name='inverse_event_shape')` {#CholeskyOuterProduct.inverse_event_shape} +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.inverse_event_shape(output_shape)` {#CholeskyOuterProduct.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#CholeskyOuterProduct.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -1862,8 +1863,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -2001,7 +2002,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Exp.forward_event_shape(input_shape, name='forward_event_shape')` {#Exp.forward_event_shape} +#### `tf.contrib.distributions.bijector.Exp.forward_event_shape(input_shape)` {#Exp.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Exp.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Exp.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2015,8 +2037,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -2046,48 +2068,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Exp.get_forward_event_shape(input_shape)` {#Exp.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Exp.get_inverse_event_shape(output_shape)` {#Exp.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Exp.graph_parents` {#Exp.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -2150,7 +2130,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Exp.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Exp.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Exp.inverse_event_shape(output_shape)` {#Exp.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Exp.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Exp.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2164,8 +2165,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -2295,7 +2296,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Identity.forward_event_shape(input_shape, name='forward_event_shape')` {#Identity.forward_event_shape} +#### `tf.contrib.distributions.bijector.Identity.forward_event_shape(input_shape)` {#Identity.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Identity.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Identity.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2309,8 +2331,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -2340,48 +2362,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Identity.get_forward_event_shape(input_shape)` {#Identity.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Identity.get_inverse_event_shape(output_shape)` {#Identity.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Identity.graph_parents` {#Identity.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -2444,7 +2424,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Identity.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Identity.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Identity.inverse_event_shape(output_shape)` {#Identity.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Identity.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Identity.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2458,8 +2459,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -2546,7 +2547,7 @@ exp = Inline( The above example is equivalent to the `Bijector` `Exp(event_ndims=1)`. - - - -#### `tf.contrib.distributions.bijector.Inline.__init__(forward_fn=None, inverse_fn=None, inverse_log_det_jacobian_fn=None, forward_log_det_jacobian_fn=None, get_forward_event_shape_fn=None, forward_event_shape_fn=None, get_inverse_event_shape_fn=None, inverse_event_shape_fn=None, is_constant_jacobian=False, validate_args=False, name='inline')` {#Inline.__init__} +#### `tf.contrib.distributions.bijector.Inline.__init__(forward_fn=None, inverse_fn=None, inverse_log_det_jacobian_fn=None, forward_log_det_jacobian_fn=None, forward_event_shape_fn=None, forward_event_shape_tensor_fn=None, inverse_event_shape_fn=None, inverse_event_shape_tensor_fn=None, is_constant_jacobian=False, validate_args=False, name='inline')` {#Inline.__init__} Creates a `Bijector` from callables. @@ -2559,14 +2560,14 @@ Creates a `Bijector` from callables. log o det o jacobian of the inverse transformation. * <b>`forward_log_det_jacobian_fn`</b>: Python callable implementing the log o det o jacobian of the forward transformation. -* <b>`get_forward_event_shape_fn`</b>: Python callable implementing non-identical +* <b>`forward_event_shape_fn`</b>: Python callable implementing non-identical static event shape changes. Default: shape is assumed unchanged. -* <b>`forward_event_shape_fn`</b>: Python callable implementing non-identical event - shape changes. Default: shape is assumed unchanged. -* <b>`get_inverse_event_shape_fn`</b>: Python callable implementing non-identical +* <b>`forward_event_shape_tensor_fn`</b>: Python callable implementing non-identical + event shape changes. Default: shape is assumed unchanged. +* <b>`inverse_event_shape_fn`</b>: Python callable implementing non-identical static event shape changes. Default: shape is assumed unchanged. -* <b>`inverse_event_shape_fn`</b>: Python callable implementing non-identical event - shape changes. Default: shape is assumed unchanged. +* <b>`inverse_event_shape_tensor_fn`</b>: Python callable implementing non-identical + event shape changes. Default: shape is assumed unchanged. * <b>`is_constant_jacobian`</b>: `Boolean` indicating that the Jacobian is constant for all input arguments. * <b>`validate_args`</b>: `Boolean` indicating whether arguments should be checked @@ -2607,7 +2608,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Inline.forward_event_shape(input_shape, name='forward_event_shape')` {#Inline.forward_event_shape} +#### `tf.contrib.distributions.bijector.Inline.forward_event_shape(input_shape)` {#Inline.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Inline.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Inline.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2621,8 +2643,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -2652,48 +2674,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Inline.get_forward_event_shape(input_shape)` {#Inline.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Inline.get_inverse_event_shape(output_shape)` {#Inline.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Inline.graph_parents` {#Inline.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -2756,7 +2736,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Inline.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape(output_shape)` {#Inline.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Inline.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2770,8 +2771,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -2918,7 +2919,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Invert.forward_event_shape(input_shape, name='forward_event_shape')` {#Invert.forward_event_shape} +#### `tf.contrib.distributions.bijector.Invert.forward_event_shape(input_shape)` {#Invert.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Invert.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Invert.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -2932,8 +2954,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -2963,48 +2985,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Invert.get_forward_event_shape(input_shape)` {#Invert.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Invert.get_inverse_event_shape(output_shape)` {#Invert.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Invert.graph_parents` {#Invert.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -3067,7 +3047,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Invert.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Invert.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Invert.inverse_event_shape(output_shape)` {#Invert.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Invert.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Invert.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3081,8 +3082,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -3216,7 +3217,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.PowerTransform.forward_event_shape(input_shape, name='forward_event_shape')` {#PowerTransform.forward_event_shape} +#### `tf.contrib.distributions.bijector.PowerTransform.forward_event_shape(input_shape)` {#PowerTransform.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.PowerTransform.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#PowerTransform.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3230,8 +3252,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -3261,48 +3283,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.PowerTransform.get_forward_event_shape(input_shape)` {#PowerTransform.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.PowerTransform.get_inverse_event_shape(output_shape)` {#PowerTransform.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.PowerTransform.graph_parents` {#PowerTransform.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -3365,7 +3345,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.PowerTransform.inverse_event_shape(output_shape, name='inverse_event_shape')` {#PowerTransform.inverse_event_shape} +#### `tf.contrib.distributions.bijector.PowerTransform.inverse_event_shape(output_shape)` {#PowerTransform.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.PowerTransform.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#PowerTransform.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3379,8 +3380,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -3503,7 +3504,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.forward_event_shape(input_shape, name='forward_event_shape')` {#SigmoidCentered.forward_event_shape} +#### `tf.contrib.distributions.bijector.SigmoidCentered.forward_event_shape(input_shape)` {#SigmoidCentered.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SigmoidCentered.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#SigmoidCentered.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3517,8 +3539,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -3548,48 +3570,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.get_forward_event_shape(input_shape)` {#SigmoidCentered.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.get_inverse_event_shape(output_shape)` {#SigmoidCentered.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.SigmoidCentered.graph_parents` {#SigmoidCentered.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -3652,7 +3632,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.inverse_event_shape(output_shape, name='inverse_event_shape')` {#SigmoidCentered.inverse_event_shape} +#### `tf.contrib.distributions.bijector.SigmoidCentered.inverse_event_shape(output_shape)` {#SigmoidCentered.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SigmoidCentered.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#SigmoidCentered.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3666,8 +3667,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -3805,7 +3806,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.forward_event_shape(input_shape, name='forward_event_shape')` {#SoftmaxCentered.forward_event_shape} +#### `tf.contrib.distributions.bijector.SoftmaxCentered.forward_event_shape(input_shape)` {#SoftmaxCentered.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SoftmaxCentered.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#SoftmaxCentered.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3819,8 +3841,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -3850,48 +3872,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.get_forward_event_shape(input_shape)` {#SoftmaxCentered.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.get_inverse_event_shape(output_shape)` {#SoftmaxCentered.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.SoftmaxCentered.graph_parents` {#SoftmaxCentered.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -3954,7 +3934,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.inverse_event_shape(output_shape, name='inverse_event_shape')` {#SoftmaxCentered.inverse_event_shape} +#### `tf.contrib.distributions.bijector.SoftmaxCentered.inverse_event_shape(output_shape)` {#SoftmaxCentered.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SoftmaxCentered.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#SoftmaxCentered.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -3968,8 +3969,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - @@ -4104,7 +4105,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Softplus.forward_event_shape(input_shape, name='forward_event_shape')` {#Softplus.forward_event_shape} +#### `tf.contrib.distributions.bijector.Softplus.forward_event_shape(input_shape)` {#Softplus.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Softplus.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Softplus.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -4118,8 +4140,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -4149,48 +4171,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Softplus.get_forward_event_shape(input_shape)` {#Softplus.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Softplus.get_inverse_event_shape(output_shape)` {#Softplus.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Softplus.graph_parents` {#Softplus.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -4253,7 +4233,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Softplus.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Softplus.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Softplus.inverse_event_shape(output_shape)` {#Softplus.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Softplus.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Softplus.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -4267,8 +4268,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md index 3db85660b2..0df33b37ba 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md @@ -68,7 +68,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.forward_event_shape(input_shape, name='forward_event_shape')` {#CholeskyOuterProduct.forward_event_shape} +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.forward_event_shape(input_shape)` {#CholeskyOuterProduct.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#CholeskyOuterProduct.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -82,8 +103,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -113,48 +134,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.get_forward_event_shape(input_shape)` {#CholeskyOuterProduct.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.get_inverse_event_shape(output_shape)` {#CholeskyOuterProduct.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.CholeskyOuterProduct.graph_parents` {#CholeskyOuterProduct.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -217,7 +196,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.inverse_event_shape(output_shape, name='inverse_event_shape')` {#CholeskyOuterProduct.inverse_event_shape} +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.inverse_event_shape(output_shape)` {#CholeskyOuterProduct.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.CholeskyOuterProduct.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#CholeskyOuterProduct.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -231,8 +231,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.SigmoidCentered.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.SigmoidCentered.md index 60f1a6d6d6..735d45c7d7 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.SigmoidCentered.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.SigmoidCentered.md @@ -43,7 +43,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.forward_event_shape(input_shape, name='forward_event_shape')` {#SigmoidCentered.forward_event_shape} +#### `tf.contrib.distributions.bijector.SigmoidCentered.forward_event_shape(input_shape)` {#SigmoidCentered.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SigmoidCentered.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#SigmoidCentered.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -57,8 +78,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -88,48 +109,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.get_forward_event_shape(input_shape)` {#SigmoidCentered.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.get_inverse_event_shape(output_shape)` {#SigmoidCentered.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.SigmoidCentered.graph_parents` {#SigmoidCentered.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -192,7 +171,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.SigmoidCentered.inverse_event_shape(output_shape, name='inverse_event_shape')` {#SigmoidCentered.inverse_event_shape} +#### `tf.contrib.distributions.bijector.SigmoidCentered.inverse_event_shape(output_shape)` {#SigmoidCentered.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SigmoidCentered.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#SigmoidCentered.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -206,8 +206,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.bijector.Bijector.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.bijector.Bijector.md index 9bd9c7b635..4acd4e192c 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.bijector.Bijector.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.bijector.Bijector.md @@ -156,9 +156,10 @@ Subclass Requirements: functions to avoid computing the `inverse_log_det_jacobian` or the `inverse`, respectively. -- Subclasses should implement `_get_forward_event_shape`, - `_forward_event_shape` (and `inverse` counterparts) if the transformation is - shape-changing. By default the event-shape is assumed unchanged from input. +- Subclasses should implement `_forward_event_shape`, + `_forward_event_shape_tensor` (and `inverse` counterparts) if the + transformation is shape-changing. By default the event-shape is assumed + unchanged from input. Tips for implementing `_inverse` and `_inverse_log_det_jacobian`: @@ -276,7 +277,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Bijector.forward_event_shape(input_shape, name='forward_event_shape')` {#Bijector.forward_event_shape} +#### `tf.contrib.distributions.bijector.Bijector.forward_event_shape(input_shape)` {#Bijector.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Bijector.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Bijector.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -290,8 +312,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -321,48 +343,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Bijector.get_forward_event_shape(input_shape)` {#Bijector.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Bijector.get_inverse_event_shape(output_shape)` {#Bijector.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Bijector.graph_parents` {#Bijector.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -425,7 +405,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Bijector.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Bijector.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Bijector.inverse_event_shape(output_shape)` {#Bijector.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Bijector.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Bijector.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -439,8 +440,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md index efff14922a..71bcc26193 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md @@ -74,7 +74,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Invert.forward_event_shape(input_shape, name='forward_event_shape')` {#Invert.forward_event_shape} +#### `tf.contrib.distributions.bijector.Invert.forward_event_shape(input_shape)` {#Invert.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Invert.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Invert.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -88,8 +109,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -119,48 +140,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Invert.get_forward_event_shape(input_shape)` {#Invert.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Invert.get_inverse_event_shape(output_shape)` {#Invert.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Invert.graph_parents` {#Invert.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -223,7 +202,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Invert.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Invert.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Invert.inverse_event_shape(output_shape)` {#Invert.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Invert.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Invert.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -237,8 +237,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Softplus.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Softplus.md index fb5c591a4f..f3cd789aff 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Softplus.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Softplus.md @@ -62,7 +62,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Softplus.forward_event_shape(input_shape, name='forward_event_shape')` {#Softplus.forward_event_shape} +#### `tf.contrib.distributions.bijector.Softplus.forward_event_shape(input_shape)` {#Softplus.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Softplus.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Softplus.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -76,8 +97,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -107,48 +128,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Softplus.get_forward_event_shape(input_shape)` {#Softplus.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Softplus.get_inverse_event_shape(output_shape)` {#Softplus.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Softplus.graph_parents` {#Softplus.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -211,7 +190,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Softplus.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Softplus.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Softplus.inverse_event_shape(output_shape)` {#Softplus.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Softplus.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Softplus.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -225,8 +225,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Affine.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Affine.md index 639c344c9a..4232b7059d 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Affine.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Affine.md @@ -151,7 +151,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Affine.forward_event_shape(input_shape, name='forward_event_shape')` {#Affine.forward_event_shape} +#### `tf.contrib.distributions.bijector.Affine.forward_event_shape(input_shape)` {#Affine.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Affine.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Affine.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -165,8 +186,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -196,48 +217,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Affine.get_forward_event_shape(input_shape)` {#Affine.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Affine.get_inverse_event_shape(output_shape)` {#Affine.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Affine.graph_parents` {#Affine.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -300,7 +279,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Affine.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Affine.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Affine.inverse_event_shape(output_shape)` {#Affine.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Affine.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Affine.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -314,8 +314,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Chain.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Chain.md index eb4f1c49b6..c0ec4f253e 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Chain.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Chain.md @@ -91,7 +91,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Chain.forward_event_shape(input_shape, name='forward_event_shape')` {#Chain.forward_event_shape} +#### `tf.contrib.distributions.bijector.Chain.forward_event_shape(input_shape)` {#Chain.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Chain.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Chain.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -105,8 +126,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -136,48 +157,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Chain.get_forward_event_shape(input_shape)` {#Chain.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Chain.get_inverse_event_shape(output_shape)` {#Chain.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Chain.graph_parents` {#Chain.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -240,7 +219,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Chain.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Chain.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Chain.inverse_event_shape(output_shape)` {#Chain.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Chain.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Chain.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -254,8 +254,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Exp.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Exp.md index 04991b5273..4820f415be 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Exp.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.contrib.distributions.bijector.Exp.md @@ -65,7 +65,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Exp.forward_event_shape(input_shape, name='forward_event_shape')` {#Exp.forward_event_shape} +#### `tf.contrib.distributions.bijector.Exp.forward_event_shape(input_shape)` {#Exp.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Exp.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Exp.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -79,8 +100,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -110,48 +131,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Exp.get_forward_event_shape(input_shape)` {#Exp.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Exp.get_inverse_event_shape(output_shape)` {#Exp.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Exp.graph_parents` {#Exp.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -214,7 +193,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Exp.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Exp.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Exp.inverse_event_shape(output_shape)` {#Exp.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Exp.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Exp.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -228,8 +228,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.AffineLinearOperator.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.AffineLinearOperator.md index bfa8d4ac6d..17bd89eea5 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.AffineLinearOperator.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.AffineLinearOperator.md @@ -111,7 +111,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.forward_event_shape(input_shape, name='forward_event_shape')` {#AffineLinearOperator.forward_event_shape} +#### `tf.contrib.distributions.bijector.AffineLinearOperator.forward_event_shape(input_shape)` {#AffineLinearOperator.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.AffineLinearOperator.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#AffineLinearOperator.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -125,8 +146,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -156,48 +177,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.get_forward_event_shape(input_shape)` {#AffineLinearOperator.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.get_inverse_event_shape(output_shape)` {#AffineLinearOperator.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.AffineLinearOperator.graph_parents` {#AffineLinearOperator.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -260,7 +239,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.AffineLinearOperator.inverse_event_shape(output_shape, name='inverse_event_shape')` {#AffineLinearOperator.inverse_event_shape} +#### `tf.contrib.distributions.bijector.AffineLinearOperator.inverse_event_shape(output_shape)` {#AffineLinearOperator.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.AffineLinearOperator.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#AffineLinearOperator.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -274,8 +274,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.Identity.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.Identity.md index f1e1465fd3..2e3f4968bb 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.Identity.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.bijector.Identity.md @@ -50,7 +50,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Identity.forward_event_shape(input_shape, name='forward_event_shape')` {#Identity.forward_event_shape} +#### `tf.contrib.distributions.bijector.Identity.forward_event_shape(input_shape)` {#Identity.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Identity.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Identity.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -64,8 +85,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -95,48 +116,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Identity.get_forward_event_shape(input_shape)` {#Identity.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Identity.get_inverse_event_shape(output_shape)` {#Identity.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Identity.graph_parents` {#Identity.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -199,7 +178,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Identity.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Identity.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Identity.inverse_event_shape(output_shape)` {#Identity.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Identity.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Identity.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -213,8 +213,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md index ee95b51d03..e6c2881730 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.Inline.md @@ -14,7 +14,7 @@ exp = Inline( The above example is equivalent to the `Bijector` `Exp(event_ndims=1)`. - - - -#### `tf.contrib.distributions.bijector.Inline.__init__(forward_fn=None, inverse_fn=None, inverse_log_det_jacobian_fn=None, forward_log_det_jacobian_fn=None, get_forward_event_shape_fn=None, forward_event_shape_fn=None, get_inverse_event_shape_fn=None, inverse_event_shape_fn=None, is_constant_jacobian=False, validate_args=False, name='inline')` {#Inline.__init__} +#### `tf.contrib.distributions.bijector.Inline.__init__(forward_fn=None, inverse_fn=None, inverse_log_det_jacobian_fn=None, forward_log_det_jacobian_fn=None, forward_event_shape_fn=None, forward_event_shape_tensor_fn=None, inverse_event_shape_fn=None, inverse_event_shape_tensor_fn=None, is_constant_jacobian=False, validate_args=False, name='inline')` {#Inline.__init__} Creates a `Bijector` from callables. @@ -27,14 +27,14 @@ Creates a `Bijector` from callables. log o det o jacobian of the inverse transformation. * <b>`forward_log_det_jacobian_fn`</b>: Python callable implementing the log o det o jacobian of the forward transformation. -* <b>`get_forward_event_shape_fn`</b>: Python callable implementing non-identical +* <b>`forward_event_shape_fn`</b>: Python callable implementing non-identical static event shape changes. Default: shape is assumed unchanged. -* <b>`forward_event_shape_fn`</b>: Python callable implementing non-identical event - shape changes. Default: shape is assumed unchanged. -* <b>`get_inverse_event_shape_fn`</b>: Python callable implementing non-identical +* <b>`forward_event_shape_tensor_fn`</b>: Python callable implementing non-identical + event shape changes. Default: shape is assumed unchanged. +* <b>`inverse_event_shape_fn`</b>: Python callable implementing non-identical static event shape changes. Default: shape is assumed unchanged. -* <b>`inverse_event_shape_fn`</b>: Python callable implementing non-identical event - shape changes. Default: shape is assumed unchanged. +* <b>`inverse_event_shape_tensor_fn`</b>: Python callable implementing non-identical + event shape changes. Default: shape is assumed unchanged. * <b>`is_constant_jacobian`</b>: `Boolean` indicating that the Jacobian is constant for all input arguments. * <b>`validate_args`</b>: `Boolean` indicating whether arguments should be checked @@ -75,7 +75,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.Inline.forward_event_shape(input_shape, name='forward_event_shape')` {#Inline.forward_event_shape} +#### `tf.contrib.distributions.bijector.Inline.forward_event_shape(input_shape)` {#Inline.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Inline.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#Inline.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -89,8 +110,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -120,48 +141,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.Inline.get_forward_event_shape(input_shape)` {#Inline.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.Inline.get_inverse_event_shape(output_shape)` {#Inline.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.Inline.graph_parents` {#Inline.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -224,7 +203,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape(output_shape, name='inverse_event_shape')` {#Inline.inverse_event_shape} +#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape(output_shape)` {#Inline.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.Inline.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#Inline.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -238,8 +238,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.PowerTransform.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.PowerTransform.md index 19426933cd..00800b8c53 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.PowerTransform.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.bijector.PowerTransform.md @@ -61,7 +61,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.PowerTransform.forward_event_shape(input_shape, name='forward_event_shape')` {#PowerTransform.forward_event_shape} +#### `tf.contrib.distributions.bijector.PowerTransform.forward_event_shape(input_shape)` {#PowerTransform.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.PowerTransform.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#PowerTransform.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -75,8 +96,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -106,48 +127,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.PowerTransform.get_forward_event_shape(input_shape)` {#PowerTransform.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.PowerTransform.get_inverse_event_shape(output_shape)` {#PowerTransform.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.PowerTransform.graph_parents` {#PowerTransform.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -210,7 +189,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.PowerTransform.inverse_event_shape(output_shape, name='inverse_event_shape')` {#PowerTransform.inverse_event_shape} +#### `tf.contrib.distributions.bijector.PowerTransform.inverse_event_shape(output_shape)` {#PowerTransform.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.PowerTransform.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#PowerTransform.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -224,8 +224,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.distributions.bijector.SoftmaxCentered.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.distributions.bijector.SoftmaxCentered.md index ae567ac500..6eee67f9df 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.distributions.bijector.SoftmaxCentered.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.distributions.bijector.SoftmaxCentered.md @@ -65,7 +65,28 @@ Returns the forward `Bijector` evaluation, i.e., X = g(Y). - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.forward_event_shape(input_shape, name='forward_event_shape')` {#SoftmaxCentered.forward_event_shape} +#### `tf.contrib.distributions.bijector.SoftmaxCentered.forward_event_shape(input_shape)` {#SoftmaxCentered.forward_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `forward_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into + `forward` function. + +##### Returns: + + +* <b>`forward_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `forward`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SoftmaxCentered.forward_event_shape_tensor(input_shape, name='forward_event_shape_tensor')` {#SoftmaxCentered.forward_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -79,8 +100,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`forward_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `forward`. +* <b>`forward_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `forward`. - - - @@ -110,48 +131,6 @@ Returns both the forward_log_det_jacobian. - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.get_forward_event_shape(input_shape)` {#SoftmaxCentered.get_forward_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `forward_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`input_shape`</b>: `TensorShape` indicating event-portion shape passed into - `forward` function. - -##### Returns: - - -* <b>`forward_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `forward`. Possibly unknown. - - -- - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.get_inverse_event_shape(output_shape)` {#SoftmaxCentered.get_inverse_event_shape} - -Shape of a single sample from a single batch as a `TensorShape`. - -Same meaning as `inverse_event_shape`. May be only partially defined. - -##### Args: - - -* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into - `inverse` function. - -##### Returns: - - -* <b>`inverse_event_shape`</b>: `TensorShape` indicating event-portion shape after - applying `inverse`. Possibly unknown. - - -- - - - #### `tf.contrib.distributions.bijector.SoftmaxCentered.graph_parents` {#SoftmaxCentered.graph_parents} Returns this `Bijector`'s graph_parents as a Python list. @@ -214,7 +193,28 @@ See `inverse()`, `inverse_log_det_jacobian()` for more details. - - - -#### `tf.contrib.distributions.bijector.SoftmaxCentered.inverse_event_shape(output_shape, name='inverse_event_shape')` {#SoftmaxCentered.inverse_event_shape} +#### `tf.contrib.distributions.bijector.SoftmaxCentered.inverse_event_shape(output_shape)` {#SoftmaxCentered.inverse_event_shape} + +Shape of a single sample from a single batch as a `TensorShape`. + +Same meaning as `inverse_event_shape_tensor`. May be only partially defined. + +##### Args: + + +* <b>`output_shape`</b>: `TensorShape` indicating event-portion shape passed into + `inverse` function. + +##### Returns: + + +* <b>`inverse_event_shape_tensor`</b>: `TensorShape` indicating event-portion shape + after applying `inverse`. Possibly unknown. + + +- - - + +#### `tf.contrib.distributions.bijector.SoftmaxCentered.inverse_event_shape_tensor(output_shape, name='inverse_event_shape_tensor')` {#SoftmaxCentered.inverse_event_shape_tensor} Shape of a single sample from a single batch as an `int32` 1D `Tensor`. @@ -228,8 +228,8 @@ Shape of a single sample from a single batch as an `int32` 1D `Tensor`. ##### Returns: -* <b>`inverse_event_shape`</b>: `Tensor`, `int32` vector indicating event-portion - shape after applying `inverse`. +* <b>`inverse_event_shape_tensor`</b>: `Tensor`, `int32` vector indicating + event-portion shape after applying `inverse`. - - - |