TensorFlow: Upstream changes to git.

Changes:
- Documentation updates.
- Relax numpy requirement to 1.9.2

Base CL: 107349632

Author: keveman

tensorflow/core/ops/math_ops.cc

@@ -626,7 +626,7 @@ REGISTER_OP("SegmentSum")
     .Doc(R"doc(
 Computes the sum along segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
+Read [the section on Segmentation](../../api_docs/python/math_ops.md#segmentation)
 for an explanation of segments.
 
 Computes a tensor such that
@@ -653,8 +653,9 @@ REGISTER_OP("SegmentMean")
     .Doc(R"doc(
 Computes the mean along segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
-for an explanation of segments.
+Read [the section on
+Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
+of segments.
 
 Computes a tensor such that
 \\(output_i = \frac{\sum_j data_j}{N}\\) where `mean` is
@@ -681,8 +682,9 @@ REGISTER_OP("SegmentProd")
     .Doc(R"doc(
 Computes the product along segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
-for an explanation of segments.
+Read [the section on
+Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
+of segments.
 
 Computes a tensor such that
 \\(output_i = \prod_j data_j\\) where the product is over `j` such
@@ -708,8 +710,9 @@ REGISTER_OP("SegmentMin")
     .Doc(R"doc(
 Computes the minimum along segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
-for an explanation of segments.
+Read [the section on
+Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
+of segments.
 
 Computes a tensor such that
 \\(output_i = \min_j(data_j)\\) where `min` is over `j` such
@@ -735,7 +738,7 @@ REGISTER_OP("SegmentMax")
     .Doc(R"doc(
 Computes the maximum along segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
+Read [the section on Segmentation](../../api_docs/python/math_ops.md#segmentation)
 for an explanation of segments.
 
 Computes a tensor such that
@@ -763,8 +766,9 @@ REGISTER_OP("UnsortedSegmentSum")
     .Doc(R"doc(
 Computes the sum along segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
-for an explanation of segments.
+Read [the section on
+Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
+of segments.
 
 Computes a tensor such that
 \\(output_i = \sum_j data_j\\) where sum is over `j` such
@@ -797,8 +801,9 @@ REGISTER_OP("SparseSegmentSum")
     .Doc(R"doc(
 Computes the sum along sparse segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
-for an explanation of segments.
+Read [the section on
+Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
+of segments.
 
 Like `SegmentSum`, but `segment_ids` can have rank less than `data`'s first
 dimension, selecting a subset of dimension_0, specified by `indices`.
@@ -843,8 +848,9 @@ REGISTER_OP("SparseSegmentMean")
     .Doc(R"doc(
 Computes the mean along sparse segments of a tensor.
 
-Read [the section on Segmentation](../python/math_ops.md#segmentation)
-for an explanation of segments.
+Read [the section on
+Segmentation](../../api_docs/python/math_ops.md#segmentation) for an explanation
+of segments.
 
 Like `SegmentMean`, but `segment_ids` can have rank less than `data`'s first
 dimension, selecting a subset of dimension_0, specified by `indices`.

tensorflow/g3doc/api_docs/cc/index.md

@@ -3,8 +3,8 @@
 TensorFlow's public C++ API includes only the API for executing graphs, as of
 version 0.5. To control the execution of a graph from C++:
 
-1. Build the computation graph using the [Python API](../python/).
-1. Use [tf.train.write_graph()](../python/train.md#write_graph) to
+1. Build the computation graph using the [Python API](../../api_docs/python/).
+1. Use [tf.train.write_graph()](../../api_docs/python/train.md#write_graph) to
 write the graph to a file.
 1. Load the graph using the C++ Session API. For example:
 

tensorflow/g3doc/api_docs/python/array_ops.md

@@ -2,8 +2,8 @@
 
 # Tensor Transformations <a class="md-anchor" id="AUTOGENERATED-tensor-transformations"></a>
 
-Note: Functions taking `Tensor` arguments can also take anything
-accepted by [`tf.convert_to_tensor`](framework.md#convert_to_tensor).
+Note: Functions taking `Tensor` arguments can also take anything accepted by
+[`tf.convert_to_tensor`](../../api_docs/python/framework.md#convert_to_tensor).
 
 <!-- TOC-BEGIN This section is generated by neural network: DO NOT EDIT! -->
 ## Contents

tensorflow/g3doc/api_docs/python/client.md

@@ -61,8 +61,8 @@ print sess.run(c)
 ```
 
 A session may own resources, such as
-[variables](state_ops.md#Variable), [queues](io_ops.md#QueueBase),
-and [readers](io_ops.md#ReaderBase). It is important to release
+[variables](../../api_docs/python/state_ops.md#Variable), [queues](../../api_docs/python/io_ops.md#QueueBase),
+and [readers](../../api_docs/python/io_ops.md#ReaderBase). It is important to release
 these resources when they are no longer required. To do this, either
 invoke the [`close()`](#Session.close) method on the session, or use
 the session as a context manager. The following two examples are
@@ -134,30 +134,31 @@ graph element, and these determine the return value of this
 method. A graph element can be one of the following types:
 
 * If the *i*th element of `fetches` is an
-  [`Operation`](framework.md#Operation), the *i*th return value
-  will be `None`.
+  [`Operation`](../../api_docs/python/framework.md#Operation), the *i*th
+  return value will be `None`.
 * If the *i*th element of `fetches` is a
-  [`Tensor`](framework.md#Tensor), the *i*th return value will
-  be a numpy ndarray containing the value of that tensor.
+  [`Tensor`](../../api_docs/python/framework.md#Tensor), the *i*th return
+  value will be a numpy ndarray containing the value of that tensor.
 * If the *i*th element of `fetches` is a
-  [`SparseTensor`](sparse_ops.md#SparseTensor), the *i*th
-  return value will be a
-  [`SparseTensorValue`](sparse_ops.md#SparseTensorValue)
+  [`SparseTensor`](../../api_docs/python/sparse_ops.md#SparseTensor),
+  the *i*th return value will be a
+  [`SparseTensorValue`](../../api_docs/python/sparse_ops.md#SparseTensorValue)
   containing the value of that sparse tensor.
 
 The optional `feed_dict` argument allows the caller to override
 the value of tensors in the graph. Each key in `feed_dict` can be
 one of the following types:
 
-* If the key is a [`Tensor`](framework.md#Tensor), the
+* If the key is a [`Tensor`](../../api_docs/python/framework.md#Tensor), the
   value may be a Python scalar, string, list, or numpy ndarray
   that can be converted to the same `dtype` as that
   tensor. Additionally, if the key is a
-  [placeholder](io_ops.md#placeholder), the shape of the value
-  will be checked for compatibility with the placeholder.
-* If the key is a [`SparseTensor`](sparse_ops.md#SparseTensor),
+  [placeholder](../../api_docs/python/io_ops.md#placeholder), the shape of
+  the value will be checked for compatibility with the placeholder.
+* If the key is a
+  [`SparseTensor`](../../api_docs/python/sparse_ops.md#SparseTensor),
   the value should be a
-  [`SparseTensorValue`](sparse_ops.md#SparseTensorValue).
+  [`SparseTensorValue`](../../api_docs/python/sparse_ops.md#SparseTensorValue).
 
 ##### Args: <a class="md-anchor" id="AUTOGENERATED-args-"></a>
 
@@ -211,9 +212,9 @@ The graph that was launched in this session.
 Returns a context manager that makes this object the default session.
 
 Use with the `with` keyword to specify that calls to
-[`Operation.run()`](framework.md#Operation.run) or
-[`Tensor.run()`](framework.md#Tensor.run) should be executed in
-this session.
+[`Operation.run()`](../../api_docs/python/framework.md#Operation.run) or
+[`Tensor.run()`](../../api_docs/python/framework.md#Tensor.run) should be
+executed in this session.
 
 ```python
 c = tf.constant(..)
@@ -267,9 +268,9 @@ A TensorFlow `Session` for use in interactive contexts, such as a shell.
 
 The only difference with a regular `Session` is that an `InteractiveSession`
 installs itself as the default session on construction.
-The methods [`Tensor.eval()`](framework.md#Tensor.eval) and
-[`Operation.run()`](framework.md#Operation.run) will use that session
-to run ops.
+The methods [`Tensor.eval()`](../../api_docs/python/framework.md#Tensor.eval)
+and [`Operation.run()`](../../api_docs/python/framework.md#Operation.run)
+will use that session to run ops.
 
 This is convenient in interactive shells and [IPython
 notebooks](http://ipython.org), as it avoids having to pass an explicit
@@ -371,7 +372,7 @@ The operation that failed, if known.
 
 *N.B.* If the failed op was synthesized at runtime, e.g. a `Send`
 or `Recv` op, there will be no corresponding
-[`Operation`](framework.md#Operation) object.  In that case, this
+[`Operation`](../../api_docs/python/framework.md#Operation) object.  In that case, this
 will return `None`, and you should instead use the
 [`OpError.node_def`](#OpError.node_def) to discover information about the
 op.
@@ -423,11 +424,12 @@ The error message that describes the error.
 Raised when an operation or step is cancelled.
 
 For example, a long-running operation (e.g.
-[`queue.enqueue()`](io_ops.md#QueueBase.enqueue) may be cancelled by
-running another operation (e.g.
-[`queue.close(cancel_pending_enqueues=True)`](io_ops.md#QueueBase.close),
-or by [closing the session](client.md#Session.close). A step that is
-running such a long-running operation will fail by raising `CancelledError`.
+[`queue.enqueue()`](../../api_docs/python/io_ops.md#QueueBase.enqueue) may be
+cancelled by running another operation (e.g.
+[`queue.close(cancel_pending_enqueues=True)`](../../api_docs/python/io_ops.md#QueueBase.close),
+or by [closing the session](../../api_docs/python/client.md#Session.close).
+A step that is running such a long-running operation will fail by raising
+`CancelledError`.
 
 - - -
 
@@ -465,10 +467,10 @@ Raised when an operation receives an invalid argument.
 
 This may occur, for example, if an operation is receives an input
 tensor that has an invalid value or shape. For example, the
-[`tf.matmul()`](math_ops.md#matmul) op will raise this error if it
-receives an input that is not a matrix, and the
-[`tf.reshape()`](array_ops.md#reshape) op will raise this error if
-the new shape does not match the number of elements in the input
+[`tf.matmul()`](../../api_docs/python/math_ops.md#matmul) op will raise this
+error if it receives an input that is not a matrix, and the
+[`tf.reshape()`](../../api_docs/python/array_ops.md#reshape) op will raise
+this error if the new shape does not match the number of elements in the input
 tensor.
 
 - - -
@@ -502,8 +504,8 @@ Creates a `DeadlineExceededError`.
 Raised when a requested entity (e.g., a file or directory) was not found.
 
 For example, running the
-[`tf.WholeFileReader.read()`](io_ops.md#WholeFileReader) operation
-could raise `NotFoundError` if it receives the name of a file that
+[`tf.WholeFileReader.read()`](../../api_docs/python/io_ops.md#WholeFileReader)
+operation could raise `NotFoundError` if it receives the name of a file that
 does not exist.
 
 - - -
@@ -521,8 +523,8 @@ Creates a `NotFoundError`.
 Raised when an entity that we attempted to create already exists.
 
 For example, running an operation that saves a file
-(e.g. [`tf.train.Saver.save()`](train.md#Saver.save)) could
-potentially raise this exception if an explicit filename for an
+(e.g. [`tf.train.Saver.save()`](../../api_docs/python/train.md#Saver.save))
+could potentially raise this exception if an explicit filename for an
 existing file was passed.
 
 - - -
@@ -540,8 +542,8 @@ Creates an `AlreadyExistsError`.
 Raised when the caller does not have permission to run an operation.
 
 For example, running the
-[`tf.WholeFileReader.read()`](io_ops.md#WholeFileReader) operation
-could raise `PermissionDeniedError` if it receives the name of a
+[`tf.WholeFileReader.read()`](../../api_docs/python/io_ops.md#WholeFileReader)
+operation could raise `PermissionDeniedError` if it receives the name of a
 file for which the user does not have the read file permission.
 
 - - -
@@ -592,8 +594,8 @@ Creates a `ResourceExhaustedError`.
 Operation was rejected because the system is not in a state to execute it.
 
 This exception is most commonly raised when running an operation
-that reads a [`tf.Variable`](state_ops.md#Variable) before it has
-been initialized.
+that reads a [`tf.Variable`](../../api_docs/python/state_ops.md#Variable)
+before it has been initialized.
 
 - - -
 
@@ -609,9 +611,11 @@ Creates a `FailedPreconditionError`.
 
 The operation was aborted, typically due to a concurrent action.
 
-For example, running a [`queue.enqueue()`](io_ops.md#QueueBase.enqueue)
+For example, running a
+[`queue.enqueue()`](../../api_docs/python/io_ops.md#QueueBase.enqueue)
 operation may raise `AbortedError` if a
-[`queue.close()`](io_ops.md#QueueBase.close) operation previously ran.
+[`queue.close()`](../../api_docs/python/io_ops.md#QueueBase.close) operation
+previously ran.
 
 - - -
 
@@ -628,9 +632,10 @@ Creates an `AbortedError`.
 Raised when an operation executed past the valid range.
 
 This exception is raised in "end-of-file" conditions, such as when a
-[`queue.dequeue()`](io_ops.md#QueueBase.dequeue) operation is
-blocked on an empty queue, and a
-[`queue.close()`](io_ops.md#QueueBase.close) operation executes.
+[`queue.dequeue()`](../../api_docs/python/io_ops.md#QueueBase.dequeue)
+operation is blocked on an empty queue, and a
+[`queue.close()`](../../api_docs/python/io_ops.md#QueueBase.close)
+operation executes.
 
 - - -
 
@@ -648,9 +653,9 @@ Raised when an operation has not been implemented.
 
 Some operations may raise this error when passed otherwise-valid
 arguments that it does not currently support. For example, running
-the [`tf.nn.max_pool()`](nn.md#max_pool) operation would raise this
-error if pooling was requested on the batch dimension, because this
-is not yet supported.
+the [`tf.nn.max_pool()`](../../api_docs/python/nn.md#max_pool) operation
+would raise this error if pooling was requested on the batch dimension,
+because this is not yet supported.
 
 - - -
 
@@ -700,8 +705,8 @@ Creates an `UnavailableError`.
 Raised when unrecoverable data loss or corruption is encountered.
 
 For example, this may be raised by running a
-[`tf.WholeFileReader.read()`](io_ops.md#WholeFileReader) operation,
-if the file is truncated while it is being read.
+[`tf.WholeFileReader.read()`](../../api_docs/python/io_ops.md#WholeFileReader)
+operation, if the file is truncated while it is being read.
 
 - - -