experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Update generated Python Op docs.

Browse Source 
Change: 141521572
This commit is contained in:
A. Unique TensorFlower 2016-12-08 21:51:09 -08:00 committed by TensorFlower Gardener
parent 9e14d13c23
commit 346c461991
4 changed files with 92 additions and 44 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.SparseTensorValue.md
View File

@ -1,50 +1,59 @@
SparseTensorValue(indices, values, dense_shape)
Stores the calculated numpy arrays representing a `SparseTensor`.
Returned as the output of a session.run on a `SparseTensor` object.
- - -
#### `tf.SparseTensorValue.__getnewargs__()` {#SparseTensorValue.__getnewargs__}
#### `tf.SparseTensorValue.__getitem__(i)` {#SparseTensorValue.__getitem__}
Return self as a plain tuple. Used by copy and pickle.
- - -
#### `tf.SparseTensorValue.__getstate__()` {#SparseTensorValue.__getstate__}
#### `tf.SparseTensorValue.__init__(indices, values, dense_shape=None, shape=None)` {#SparseTensorValue.__init__}
Exclude the OrderedDict from pickling
- - -
#### `tf.SparseTensorValue.__new__(_cls, indices, values, dense_shape)` {#SparseTensorValue.__new__}
#### `tf.SparseTensorValue.__iter__()` {#SparseTensorValue.__iter__}
Create new instance of SparseTensorValue(indices, values, dense_shape)
- - -
#### `tf.SparseTensorValue.__repr__()` {#SparseTensorValue.__repr__}
Return a nicely formatted representation string
- - -
#### `tf.SparseTensorValue.dense_shape` {#SparseTensorValue.dense_shape}
Alias for field number 2
- - -
#### `tf.SparseTensorValue.indices` {#SparseTensorValue.indices}
Alias for field number 0
- - -
#### `tf.SparseTensorValue.shape` {#SparseTensorValue.shape}
- - -
#### `tf.SparseTensorValue.values` {#SparseTensorValue.values}
Alias for field number 1

4
tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.SparseTensorValue.__new__.md
View File

@ -1,4 +0,0 @@
#### `tf.SparseTensorValue.__new__(_cls, indices, values, dense_shape)` {#SparseTensorValue.__new__}
Create new instance of SparseTensorValue(indices, values, dense_shape)

35
tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.SparseTensor.md
View File

@ -23,11 +23,14 @@ of values and number of dimensions in the `SparseTensor`, respectively:
[2,4] of the tensor has a value of 3.6.
* `dense_shape`: A 1-D int64 tensor of dense_shape `[ndims]`, which specifies
the dense_shape of the sparse tensor. Takes a list indicating the number of
elements in each dimension. For example, `dense_shape=[3,6]` specifies a
two-dimensional 3x6 tensor, `dense_shape=[2,3,4]` specifies a
three-dimensional 2x3x4 tensor, and `dense_shape=[9]` specifies a
one-dimensional tensor with 9 elements.
the
dense_shape of the sparse tensor. Takes a list indicating the number of
elements
in each dimension. For example, `dense_shape=[3,6]` specifies a
two-dimensional
3x6 tensor, `dense_shape=[2,3,4]` specifies a three-dimensional 2x3x4
tensor, and
`dense_shape=[9]` specifies a one-dimensional tensor with 9 elements.
The corresponding dense tensor satisfies:
@ -58,21 +61,28 @@ represents the dense tensor
- - -
#### `tf.SparseTensor.__init__(indices, values, dense_shape)` {#SparseTensor.__init__}
#### `tf.SparseTensor.__init__(indices, values, dense_shape=None, shape=None)` {#SparseTensor.__init__}
Creates a `SparseTensor`.
##### Args:
* <b>`indices`</b>: A 2-D int64 tensor of shape `[N, ndims]`.
* <b>`values`</b>: A 1-D tensor of any type and shape `[N]`.
* <b>`dense_shape`</b>: A 1-D int64 tensor of shape `[ndims]`.
* <b>`indices`</b>: A 2-D int64 tensor of dense_shape `[N, ndims]`.
* <b>`values`</b>: A 1-D tensor of any type and dense_shape `[N]`.
* <b>`dense_shape`</b>: A 1-D int64 tensor of dense_shape `[ndims]`.
* <b>`shape`</b>: Temporary. Legacy naming of dense_shape. Only one of `shape` or
`dense_shape` must be provided.
##### Returns:
A `SparseTensor`.
##### Raises:
* <b>`ValueError`</b>: if both `shape` and `dense_shape` are provided.
- - -
@ -249,3 +259,10 @@ available, or `session` must be specified explicitly.
- - -
#### `tf.SparseTensor.shape` {#SparseTensor.shape}
Legacy property returning `dense_shape`.

66
tensorflow/g3doc/api_docs/python/sparse_ops.md
View File

@ -43,11 +43,14 @@ of values and number of dimensions in the `SparseTensor`, respectively:
[2,4] of the tensor has a value of 3.6.
* `dense_shape`: A 1-D int64 tensor of dense_shape `[ndims]`, which specifies
the dense_shape of the sparse tensor. Takes a list indicating the number of
elements in each dimension. For example, `dense_shape=[3,6]` specifies a
two-dimensional 3x6 tensor, `dense_shape=[2,3,4]` specifies a
three-dimensional 2x3x4 tensor, and `dense_shape=[9]` specifies a
one-dimensional tensor with 9 elements.
the
dense_shape of the sparse tensor. Takes a list indicating the number of
elements
in each dimension. For example, `dense_shape=[3,6]` specifies a
two-dimensional
3x6 tensor, `dense_shape=[2,3,4]` specifies a three-dimensional 2x3x4
tensor, and
`dense_shape=[9]` specifies a one-dimensional tensor with 9 elements.
The corresponding dense tensor satisfies:
@ -78,21 +81,28 @@ represents the dense tensor
- - -
#### `tf.SparseTensor.__init__(indices, values, dense_shape)` {#SparseTensor.__init__}
#### `tf.SparseTensor.__init__(indices, values, dense_shape=None, shape=None)` {#SparseTensor.__init__}
Creates a `SparseTensor`.
##### Args:
* <b>`indices`</b>: A 2-D int64 tensor of shape `[N, ndims]`.
* <b>`values`</b>: A 1-D tensor of any type and shape `[N]`.
* <b>`dense_shape`</b>: A 1-D int64 tensor of shape `[ndims]`.
* <b>`indices`</b>: A 2-D int64 tensor of dense_shape `[N, ndims]`.
* <b>`values`</b>: A 1-D tensor of any type and dense_shape `[N]`.
* <b>`dense_shape`</b>: A 1-D int64 tensor of dense_shape `[ndims]`.
* <b>`shape`</b>: Temporary. Legacy naming of dense_shape. Only one of `shape` or
`dense_shape` must be provided.
##### Returns:
A `SparseTensor`.
##### Raises:
* <b>`ValueError`</b>: if both `shape` and `dense_shape` are provided.
- - -
@ -269,59 +279,75 @@ available, or `session` must be specified explicitly.
- - -
#### `tf.SparseTensor.shape` {#SparseTensor.shape}
Legacy property returning `dense_shape`.
- - -
### `class tf.SparseTensorValue` {#SparseTensorValue}
SparseTensorValue(indices, values, dense_shape)
Stores the calculated numpy arrays representing a `SparseTensor`.
Returned as the output of a session.run on a `SparseTensor` object.
- - -
#### `tf.SparseTensorValue.__getnewargs__()` {#SparseTensorValue.__getnewargs__}
#### `tf.SparseTensorValue.__getitem__(i)` {#SparseTensorValue.__getitem__}
Return self as a plain tuple. Used by copy and pickle.
- - -
#### `tf.SparseTensorValue.__getstate__()` {#SparseTensorValue.__getstate__}
#### `tf.SparseTensorValue.__init__(indices, values, dense_shape=None, shape=None)` {#SparseTensorValue.__init__}
Exclude the OrderedDict from pickling
- - -
#### `tf.SparseTensorValue.__new__(_cls, indices, values, dense_shape)` {#SparseTensorValue.__new__}
#### `tf.SparseTensorValue.__iter__()` {#SparseTensorValue.__iter__}
Create new instance of SparseTensorValue(indices, values, dense_shape)
- - -
#### `tf.SparseTensorValue.__repr__()` {#SparseTensorValue.__repr__}
Return a nicely formatted representation string
- - -
#### `tf.SparseTensorValue.dense_shape` {#SparseTensorValue.dense_shape}
Alias for field number 2
- - -
#### `tf.SparseTensorValue.indices` {#SparseTensorValue.indices}
Alias for field number 0
- - -
#### `tf.SparseTensorValue.shape` {#SparseTensorValue.shape}
- - -
#### `tf.SparseTensorValue.values` {#SparseTensorValue.values}
Alias for field number 1