Update generated Python Op docs.

Change: 136745074

tensorflow/g3doc/api_docs/python/contrib.distributions.md

@@ -130,7 +130,7 @@ dist.mean().eval()
 ```
 - - -
 
-#### `tf.contrib.distributions.Distribution.__init__(dtype, parameters, is_continuous, is_reparameterized, validate_args, allow_nan_stats, name=None)` {#Distribution.__init__}
+#### `tf.contrib.distributions.Distribution.__init__(dtype, is_continuous, is_reparameterized, validate_args, allow_nan_stats, parameters=None, graph_parents=None, name=None)` {#Distribution.__init__}
 
 Constructs the `Distribution`.
 
@@ -140,7 +140,6 @@ Constructs the `Distribution`.
 
 
 *  <b>`dtype`</b>: The type of the event samples. `None` implies no type-enforcement.
-*  <b>`parameters`</b>: Python dictionary of parameters used by this `Distribution`.
 *  <b>`is_continuous`</b>: Python boolean. If `True` this
     `Distribution` is continuous over its supported domain.
 *  <b>`is_reparameterized`</b>: Python boolean. If `True` this
@@ -154,7 +153,15 @@ Constructs the `Distribution`.
     exception if a statistic (e.g., mean, mode) is undefined for any batch
     member. If True, batch members with valid parameters leading to
     undefined statistics will return `NaN` for this statistic.
-*  <b>`name`</b>: A name for this distribution (optional).
+*  <b>`parameters`</b>: Python dictionary of parameters used to instantiate this
+    `Distribution`.
+*  <b>`graph_parents`</b>: Python list of graph prerequisites of this `Distribution`.
+*  <b>`name`</b>: A name for this distribution. Default: subclass name.
+
+##### Raises:
+
+
+*  <b>`ValueError`</b>: if any member of graph_parents is `None` or not a `Tensor`.
 
 
 - - -
@@ -494,7 +501,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Distribution.parameters` {#Distribution.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -1143,7 +1150,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Binomial.parameters` {#Binomial.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -1723,7 +1730,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Bernoulli.parameters` {#Bernoulli.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -2268,7 +2275,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.BernoulliWithSigmoidP.parameters` {#BernoulliWithSigmoidP.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -2920,7 +2927,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Beta.parameters` {#Beta.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -3484,7 +3491,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.BetaWithSoftplusAB.parameters` {#BetaWithSoftplusAB.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -4095,7 +4102,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Categorical.parameters` {#Categorical.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -4675,7 +4682,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Chi2.parameters` {#Chi2.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -5238,7 +5245,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Chi2WithAbsDf.parameters` {#Chi2WithAbsDf.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -5823,7 +5830,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Exponential.parameters` {#Exponential.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -6386,7 +6393,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.ExponentialWithSoftplusLam.parameters` {#ExponentialWithSoftplusLam.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -6991,7 +6998,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Gamma.parameters` {#Gamma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -7547,7 +7554,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.GammaWithSoftplusAlphaBeta.parameters` {#GammaWithSoftplusAlphaBeta.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -8152,7 +8159,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.InverseGamma.parameters` {#InverseGamma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -8718,7 +8725,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.parameters` {#InverseGammaWithSoftplusAlphaBeta.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -9289,7 +9296,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Laplace.parameters` {#Laplace.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -9823,7 +9830,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.LaplaceWithSoftplusScale.parameters` {#LaplaceWithSoftplusScale.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -10421,7 +10428,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Normal.parameters` {#Normal.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -10955,7 +10962,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.NormalWithSoftplusSigma.parameters` {#NormalWithSoftplusSigma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -11526,7 +11533,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Poisson.parameters` {#Poisson.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -12145,7 +12152,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.StudentT.parameters` {#StudentT.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -12702,7 +12709,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.parameters` {#StudentTWithAbsDfSoftplusSigma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -13295,7 +13302,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Uniform.parameters` {#Uniform.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -13926,7 +13933,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalDiag.parameters` {#MultivariateNormalDiag.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -14567,7 +14574,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalFull.parameters` {#MultivariateNormalFull.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -15217,7 +15224,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalCholesky.parameters` {#MultivariateNormalCholesky.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -15893,7 +15900,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.parameters` {#MultivariateNormalDiagPlusVDVT.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -16473,7 +16480,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.parameters` {#MultivariateNormalDiagWithSoftplusStDev.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -17198,7 +17205,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Dirichlet.parameters` {#Dirichlet.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -17861,7 +17868,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.DirichletMultinomial.parameters` {#DirichletMultinomial.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -18548,7 +18555,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Multinomial.parameters` {#Multinomial.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -19197,7 +19204,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.WishartCholesky.parameters` {#WishartCholesky.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -19841,7 +19848,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.WishartFull.parameters` {#WishartFull.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -20137,7 +20144,7 @@ normal = ds.TransformedDistribution(
 ```
 - - -
 
-#### `tf.contrib.distributions.TransformedDistribution.__init__(distribution, bijector, name=None)` {#TransformedDistribution.__init__}
+#### `tf.contrib.distributions.TransformedDistribution.__init__(distribution, bijector, validate_args=False, name=None)` {#TransformedDistribution.__init__}
 
 Construct a Transformed Distribution.
 
@@ -20148,6 +20155,9 @@ Construct a Transformed Distribution.
     instance of `Distribution`.
 *  <b>`bijector`</b>: The object responsible for calculating the transformation.
     Typically an instance of `Bijector`.
+*  <b>`validate_args`</b>: Python boolean.  Whether to validate input with asserts.
+    If `validate_args` is `False`, and the inputs are invalid,
+    correct behavior is not guaranteed.
 *  <b>`name`</b>: The name for the distribution. Default:
     `bijector.name + distribution.name`.
 
@@ -20541,7 +20551,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.TransformedDistribution.parameters` {#TransformedDistribution.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -20801,13 +20811,13 @@ entropy are better done with samples or approximations, and are not
 implemented by this class.
 - - -
 
-#### `tf.contrib.distributions.QuantizedDistribution.__init__(distribution, lower_cutoff=None, upper_cutoff=None, name='QuantizedDistribution')` {#QuantizedDistribution.__init__}
+#### `tf.contrib.distributions.QuantizedDistribution.__init__(distribution, lower_cutoff=None, upper_cutoff=None, validate_args=False, name='QuantizedDistribution')` {#QuantizedDistribution.__init__}
 
 Construct a Quantized Distribution representing `Y = ceiling(X)`.
 
-Some properties are inherited from the distribution defining `X`.
-In particular, `validate_args` and `allow_nan_stats` are determined for this
-`QuantizedDistribution` by reading the `distribution`.
+Some properties are inherited from the distribution defining `X`. Example:
+`allow_nan_stats` is determined for this `QuantizedDistribution` by reading
+the `distribution`.
 
 ##### Args:
 
@@ -20823,6 +20833,9 @@ In particular, `validate_args` and `allow_nan_stats` are determined for this
     If provided, base distribution's pdf/pmf should be defined at
     `upper_cutoff - 1`.
     `upper_cutoff` must be strictly greater than `lower_cutoff`.
+*  <b>`validate_args`</b>: Python boolean.  Whether to validate input with asserts.
+    If `validate_args` is `False`, and the inputs are invalid,
+    correct behavior is not guaranteed.
 *  <b>`name`</b>: The name for the distribution.
 
 ##### Raises:
@@ -21249,7 +21262,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.QuantizedDistribution.parameters` {#QuantizedDistribution.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -
@@ -21922,7 +21935,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Mixture.parameters` {#Mixture.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/contrib.rnn.md

@@ -647,7 +647,7 @@ Run one step of LSTM.
 
 - - -
 
-#### `tf.contrib.rnn.GridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=1, couple_input_forget_gates=False, state_is_tuple=False)` {#GridLSTMCell.__init__}
+#### `tf.contrib.rnn.GridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=None, start_freqindex_list=None, end_freqindex_list=None, couple_input_forget_gates=False, state_is_tuple=False)` {#GridLSTMCell.__init__}
 
 Initialize the parameters for an LSTM cell.
 
@@ -672,8 +672,13 @@ Initialize the parameters for an LSTM cell.
     the LSTM spans over.
 *  <b>`frequency_skip`</b>: (optional) int, default None, The amount the LSTM filter
     is shifted by in frequency.
-*  <b>`num_frequency_blocks`</b>: (optional) int, default 1, The total number of
-    frequency blocks needed to cover the whole input feature.
+*  <b>`num_frequency_blocks`</b>: [required] A list of frequency blocks needed to
+    cover the whole input feature splitting defined by start_freqindex_list
+    and end_freqindex_list.
+*  <b>`start_freqindex_list`</b>: [optional], list of ints, default None,  The
+    starting frequency index for each frequency block.
+*  <b>`end_freqindex_list`</b>: [optional], list of ints, default None. The ending
+    frequency index for each frequency block.
 *  <b>`couple_input_forget_gates`</b>: (optional) bool, default False, Whether to
     couple the input and forget gates, i.e. f_gate = 1.0 - i_gate, to reduce
     model parameters and computation cost.
@@ -681,6 +686,11 @@ Initialize the parameters for an LSTM cell.
     the `c_state` and `m_state`.  By default (False), they are concatenated
     along the column axis.  This default behavior will soon be deprecated.
 
+##### Raises:
+
+
+*  <b>`ValueError`</b>: if the num_frequency_blocks list is not specified
+
 
 - - -
 
@@ -854,7 +864,7 @@ Run one step of LSTM.
 
 - - -
 
-#### `tf.contrib.rnn.BidirectionalGridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=1, couple_input_forget_gates=False, backward_slice_offset=0)` {#BidirectionalGridLSTMCell.__init__}
+#### `tf.contrib.rnn.BidirectionalGridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=None, start_freqindex_list=None, end_freqindex_list=None, couple_input_forget_gates=False, backward_slice_offset=0)` {#BidirectionalGridLSTMCell.__init__}
 
 Initialize the parameters for an LSTM cell.
 
@@ -879,8 +889,13 @@ Initialize the parameters for an LSTM cell.
     the LSTM spans over.
 *  <b>`frequency_skip`</b>: (optional) int, default None, The amount the LSTM filter
     is shifted by in frequency.
-*  <b>`num_frequency_blocks`</b>: (optional) int, default 1, The total number of
-    frequency blocks needed to cover the whole input feature.
+*  <b>`num_frequency_blocks`</b>: [required] A list of frequency blocks needed to
+    cover the whole input feature splitting defined by start_freqindex_list
+    and end_freqindex_list.
+*  <b>`start_freqindex_list`</b>: [optional], list of ints, default None,  The
+    starting frequency index for each frequency block.
+*  <b>`end_freqindex_list`</b>: [optional], list of ints, default None. The ending
+    frequency index for each frequency block.
 *  <b>`couple_input_forget_gates`</b>: (optional) bool, default False, Whether to
     couple the input and forget gates, i.e. f_gate = 1.0 - i_gate, to reduce
     model parameters and computation cost.

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.Bernoulli.md

@@ -390,7 +390,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Bernoulli.parameters` {#Bernoulli.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.Chi2WithAbsDf.md

@@ -381,7 +381,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Chi2WithAbsDf.parameters` {#Chi2WithAbsDf.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.Dirichlet.md

@@ -459,7 +459,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Dirichlet.parameters` {#Dirichlet.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.Distribution.md

@@ -112,7 +112,7 @@ dist.mean().eval()
 ```
 - - -
 
-#### `tf.contrib.distributions.Distribution.__init__(dtype, parameters, is_continuous, is_reparameterized, validate_args, allow_nan_stats, name=None)` {#Distribution.__init__}
+#### `tf.contrib.distributions.Distribution.__init__(dtype, is_continuous, is_reparameterized, validate_args, allow_nan_stats, parameters=None, graph_parents=None, name=None)` {#Distribution.__init__}
 
 Constructs the `Distribution`.
 
@@ -122,7 +122,6 @@ Constructs the `Distribution`.
 
 
 *  <b>`dtype`</b>: The type of the event samples. `None` implies no type-enforcement.
-*  <b>`parameters`</b>: Python dictionary of parameters used by this `Distribution`.
 *  <b>`is_continuous`</b>: Python boolean. If `True` this
     `Distribution` is continuous over its supported domain.
 *  <b>`is_reparameterized`</b>: Python boolean. If `True` this
@@ -136,7 +135,15 @@ Constructs the `Distribution`.
     exception if a statistic (e.g., mean, mode) is undefined for any batch
     member. If True, batch members with valid parameters leading to
     undefined statistics will return `NaN` for this statistic.
-*  <b>`name`</b>: A name for this distribution (optional).
+*  <b>`parameters`</b>: Python dictionary of parameters used to instantiate this
+    `Distribution`.
+*  <b>`graph_parents`</b>: Python list of graph prerequisites of this `Distribution`.
+*  <b>`name`</b>: A name for this distribution. Default: subclass name.
+
+##### Raises:
+
+
+*  <b>`ValueError`</b>: if any member of graph_parents is `None` or not a `Tensor`.
 
 
 - - -
@@ -476,7 +483,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Distribution.parameters` {#Distribution.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.MultivariateNormalCholesky.md

@@ -443,7 +443,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalCholesky.parameters` {#MultivariateNormalCholesky.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.rnn.BidirectionalGridLSTMCell.md

@@ -36,7 +36,7 @@ Run one step of LSTM.
 
 - - -
 
-#### `tf.contrib.rnn.BidirectionalGridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=1, couple_input_forget_gates=False, backward_slice_offset=0)` {#BidirectionalGridLSTMCell.__init__}
+#### `tf.contrib.rnn.BidirectionalGridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=None, start_freqindex_list=None, end_freqindex_list=None, couple_input_forget_gates=False, backward_slice_offset=0)` {#BidirectionalGridLSTMCell.__init__}
 
 Initialize the parameters for an LSTM cell.
 
@@ -61,8 +61,13 @@ Initialize the parameters for an LSTM cell.
     the LSTM spans over.
 *  <b>`frequency_skip`</b>: (optional) int, default None, The amount the LSTM filter
     is shifted by in frequency.
-*  <b>`num_frequency_blocks`</b>: (optional) int, default 1, The total number of
-    frequency blocks needed to cover the whole input feature.
+*  <b>`num_frequency_blocks`</b>: [required] A list of frequency blocks needed to
+    cover the whole input feature splitting defined by start_freqindex_list
+    and end_freqindex_list.
+*  <b>`start_freqindex_list`</b>: [optional], list of ints, default None,  The
+    starting frequency index for each frequency block.
+*  <b>`end_freqindex_list`</b>: [optional], list of ints, default None. The ending
+    frequency index for each frequency block.
 *  <b>`couple_input_forget_gates`</b>: (optional) bool, default False, Whether to
     couple the input and forget gates, i.e. f_gate = 1.0 - i_gate, to reduce
     model parameters and computation cost.

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.MultivariateNormalDiag.md

@@ -442,7 +442,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalDiag.parameters` {#MultivariateNormalDiag.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.QuantizedDistribution.md

@@ -50,13 +50,13 @@ entropy are better done with samples or approximations, and are not
 implemented by this class.
 - - -
 
-#### `tf.contrib.distributions.QuantizedDistribution.__init__(distribution, lower_cutoff=None, upper_cutoff=None, name='QuantizedDistribution')` {#QuantizedDistribution.__init__}
+#### `tf.contrib.distributions.QuantizedDistribution.__init__(distribution, lower_cutoff=None, upper_cutoff=None, validate_args=False, name='QuantizedDistribution')` {#QuantizedDistribution.__init__}
 
 Construct a Quantized Distribution representing `Y = ceiling(X)`.
 
-Some properties are inherited from the distribution defining `X`.
-In particular, `validate_args` and `allow_nan_stats` are determined for this
-`QuantizedDistribution` by reading the `distribution`.
+Some properties are inherited from the distribution defining `X`. Example:
+`allow_nan_stats` is determined for this `QuantizedDistribution` by reading
+the `distribution`.
 
 ##### Args:
 
@@ -72,6 +72,9 @@ In particular, `validate_args` and `allow_nan_stats` are determined for this
     If provided, base distribution's pdf/pmf should be defined at
     `upper_cutoff - 1`.
     `upper_cutoff` must be strictly greater than `lower_cutoff`.
+*  <b>`validate_args`</b>: Python boolean.  Whether to validate input with asserts.
+    If `validate_args` is `False`, and the inputs are invalid,
+    correct behavior is not guaranteed.
 *  <b>`name`</b>: The name for the distribution.
 
 ##### Raises:
@@ -498,7 +501,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.QuantizedDistribution.parameters` {#QuantizedDistribution.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.StudentT.md

@@ -435,7 +435,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.StudentT.parameters` {#StudentT.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md

@@ -102,7 +102,7 @@ normal = ds.TransformedDistribution(
 ```
 - - -
 
-#### `tf.contrib.distributions.TransformedDistribution.__init__(distribution, bijector, name=None)` {#TransformedDistribution.__init__}
+#### `tf.contrib.distributions.TransformedDistribution.__init__(distribution, bijector, validate_args=False, name=None)` {#TransformedDistribution.__init__}
 
 Construct a Transformed Distribution.
 
@@ -113,6 +113,9 @@ Construct a Transformed Distribution.
     instance of `Distribution`.
 *  <b>`bijector`</b>: The object responsible for calculating the transformation.
     Typically an instance of `Bijector`.
+*  <b>`validate_args`</b>: Python boolean.  Whether to validate input with asserts.
+    If `validate_args` is `False`, and the inputs are invalid,
+    correct behavior is not guaranteed.
 *  <b>`name`</b>: The name for the distribution. Default:
     `bijector.name + distribution.name`.
 
@@ -506,7 +509,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.TransformedDistribution.parameters` {#TransformedDistribution.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.rnn.GridLSTMCell.md

@@ -44,7 +44,7 @@ Run one step of LSTM.
 
 - - -
 
-#### `tf.contrib.rnn.GridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=1, couple_input_forget_gates=False, state_is_tuple=False)` {#GridLSTMCell.__init__}
+#### `tf.contrib.rnn.GridLSTMCell.__init__(num_units, use_peepholes=False, share_time_frequency_weights=False, cell_clip=None, initializer=None, num_unit_shards=1, forget_bias=1.0, feature_size=None, frequency_skip=None, num_frequency_blocks=None, start_freqindex_list=None, end_freqindex_list=None, couple_input_forget_gates=False, state_is_tuple=False)` {#GridLSTMCell.__init__}
 
 Initialize the parameters for an LSTM cell.
 
@@ -69,8 +69,13 @@ Initialize the parameters for an LSTM cell.
     the LSTM spans over.
 *  <b>`frequency_skip`</b>: (optional) int, default None, The amount the LSTM filter
     is shifted by in frequency.
-*  <b>`num_frequency_blocks`</b>: (optional) int, default 1, The total number of
-    frequency blocks needed to cover the whole input feature.
+*  <b>`num_frequency_blocks`</b>: [required] A list of frequency blocks needed to
+    cover the whole input feature splitting defined by start_freqindex_list
+    and end_freqindex_list.
+*  <b>`start_freqindex_list`</b>: [optional], list of ints, default None,  The
+    starting frequency index for each frequency block.
+*  <b>`end_freqindex_list`</b>: [optional], list of ints, default None. The ending
+    frequency index for each frequency block.
 *  <b>`couple_input_forget_gates`</b>: (optional) bool, default False, Whether to
     couple the input and forget gates, i.e. f_gate = 1.0 - i_gate, to reduce
     model parameters and computation cost.
@@ -78,6 +83,11 @@ Initialize the parameters for an LSTM cell.
     the `c_state` and `m_state`.  By default (False), they are concatenated
     along the column axis.  This default behavior will soon be deprecated.
 
+##### Raises:
+
+
+*  <b>`ValueError`</b>: if the num_frequency_blocks list is not specified
+
 
 - - -
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.Categorical.md

@@ -426,7 +426,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Categorical.parameters` {#Categorical.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.Chi2.md

@@ -403,7 +403,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Chi2.parameters` {#Chi2.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.Uniform.md

@@ -399,7 +399,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Uniform.parameters` {#Uniform.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.distributions.WishartCholesky.md

@@ -457,7 +457,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.WishartCholesky.parameters` {#WishartCholesky.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.BetaWithSoftplusAB.md

@@ -379,7 +379,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.BetaWithSoftplusAB.parameters` {#BetaWithSoftplusAB.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Binomial.md

@@ -469,7 +469,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Binomial.parameters` {#Binomial.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.DirichletMultinomial.md

@@ -478,7 +478,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.DirichletMultinomial.parameters` {#DirichletMultinomial.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Exponential.md

@@ -403,7 +403,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Exponential.parameters` {#Exponential.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Gamma.md

@@ -423,7 +423,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Gamma.parameters` {#Gamma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.GammaWithSoftplusAlphaBeta.md

@@ -374,7 +374,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.GammaWithSoftplusAlphaBeta.parameters` {#GammaWithSoftplusAlphaBeta.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.InverseGamma.md

@@ -423,7 +423,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.InverseGamma.parameters` {#InverseGamma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.md

@@ -378,7 +378,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.parameters` {#InverseGammaWithSoftplusAlphaBeta.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.Multinomial.md

@@ -477,7 +477,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Multinomial.parameters` {#Multinomial.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.md

@@ -469,7 +469,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.parameters` {#MultivariateNormalDiagPlusVDVT.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.BernoulliWithSigmoidP.md

@@ -361,7 +361,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.BernoulliWithSigmoidP.parameters` {#BernoulliWithSigmoidP.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.Beta.md

@@ -468,7 +468,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Beta.parameters` {#Beta.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.Laplace.md

@@ -383,7 +383,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Laplace.parameters` {#Laplace.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.LaplaceWithSoftplusScale.md

@@ -350,7 +350,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.LaplaceWithSoftplusScale.parameters` {#LaplaceWithSoftplusScale.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.md

@@ -363,7 +363,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.parameters` {#StudentTWithAbsDfSoftplusSigma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.summary.scalar.md

-### `tf.summary.scalar(name, tensor, summary_description=None, collections=None)` {#scalar}
+### `tf.summary.scalar(name, tensor, collections=None)` {#scalar}
 
 Outputs a `Summary` protocol buffer containing a single scalar value.
 
@@ -9,8 +9,7 @@ The generated Summary has a Tensor.proto containing the input Tensor.
 
 *  <b>`name`</b>: A name for the generated node. Will also serve as the series name in
     TensorBoard.
-*  <b>`tensor`</b>: A tensor containing a single floating point or integer value.
-*  <b>`summary_description`</b>: Optional summary_description_pb2.SummaryDescription
+*  <b>`tensor`</b>: A real numeric Tensor containing a single value.
 *  <b>`collections`</b>: Optional list of graph collections keys. The new summary op is
     added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.ExponentialWithSoftplusLam.md

@@ -381,7 +381,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.ExponentialWithSoftplusLam.parameters` {#ExponentialWithSoftplusLam.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.MultivariateNormalFull.md

@@ -434,7 +434,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalFull.parameters` {#MultivariateNormalFull.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard7/tf.contrib.distributions.Normal.md

@@ -414,7 +414,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Normal.parameters` {#Normal.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.distributions.Mixture.md

@@ -457,7 +457,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Mixture.parameters` {#Mixture.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard8/tf.contrib.distributions.NormalWithSoftplusSigma.md

@@ -350,7 +350,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.NormalWithSoftplusSigma.parameters` {#NormalWithSoftplusSigma.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.md

@@ -373,7 +373,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.parameters` {#MultivariateNormalDiagWithSoftplusStDev.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.Poisson.md

@@ -387,7 +387,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.Poisson.parameters` {#Poisson.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.distributions.WishartFull.md

@@ -453,7 +453,7 @@ param_shapes with static (i.e. TensorShape) shapes.
 
 #### `tf.contrib.distributions.WishartFull.parameters` {#WishartFull.parameters}
 
-Dictionary of parameters used by this `Distribution`.
+Dictionary of parameters used to instantiate this `Distribution`.
 
 
 - - -

tensorflow/g3doc/api_docs/python/summary.md

@@ -34,7 +34,7 @@ has one summary value containing the input tensor.
 
 - - -
 
-### `tf.summary.scalar(name, tensor, summary_description=None, collections=None)` {#scalar}
+### `tf.summary.scalar(name, tensor, collections=None)` {#scalar}
 
 Outputs a `Summary` protocol buffer containing a single scalar value.
 
@@ -45,8 +45,7 @@ The generated Summary has a Tensor.proto containing the input Tensor.
 
 *  <b>`name`</b>: A name for the generated node. Will also serve as the series name in
     TensorBoard.
-*  <b>`tensor`</b>: A tensor containing a single floating point or integer value.
-*  <b>`summary_description`</b>: Optional summary_description_pb2.SummaryDescription
+*  <b>`tensor`</b>: A real numeric Tensor containing a single value.
 *  <b>`collections`</b>: Optional list of graph collections keys. The new summary op is
     added to these collections. Defaults to `[GraphKeys.SUMMARIES]`.