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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-01-11 12:51:50 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-01-11 13:05:32 -0800
commitd9203c0fdb920f06a5fe49ebbd314afa0fde942e (patch)
treee25edac7cfe755d5c53681e24c9295738144bbba
parenta2466d1488cd36131c344c51a475d48860ed0bf3 (diff)
Update generated Python Op docs.
Change: 144238818
-rw-r--r--tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.TensorArray.md45
-rw-r--r--tensorflow/g3doc/api_docs/python/tensor_array_ops.md45
2 files changed, 0 insertions, 90 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.TensorArray.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.TensorArray.md
index a8e3cd1b63..a10d61aedc 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.TensorArray.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.TensorArray.md
@@ -66,25 +66,6 @@ must all match.
- - -
-#### `tf.TensorArray.pack(*args, **kwargs)` {#TensorArray.pack}
-
-Return the values in the TensorArray as a stacked `Tensor`.
-
-All of the values must have been written and their shapes must all match.
-If input shapes have rank-`R`, then output shape will have rank-`(R+1)`.
-
-##### Args:
-
-
-* <b>`name`</b>: A name for the operation (optional).
-
-##### Returns:
-
- All the tensors in the TensorArray stacked into one tensor.
-
-
-- - -
-
#### `tf.TensorArray.stack(name=None)` {#TensorArray.stack}
Return the values in the TensorArray as a stacked `Tensor`.
@@ -173,32 +154,6 @@ Scatter the values of a `Tensor` in specific indices of a `TensorArray`.
- - -
-#### `tf.TensorArray.unpack(*args, **kwargs)` {#TensorArray.unpack}
-
-Unstack the values of a `Tensor` in the TensorArray.
-
-If input value shapes have rank-`R`, then the output TensorArray will
-contain elements whose shapes are rank-`(R-1)`.
-
-##### Args:
-
-
-* <b>`value`</b>: (N+1)-D. Tensor of type `dtype`. The Tensor to unstack.
-* <b>`name`</b>: A name for the operation (optional).
-
-##### Returns:
-
- A new TensorArray object with flow that ensures the unstack occurs.
- Use this object all for subsequent operations.
-
-##### Raises:
-
-
-* <b>`ValueError`</b>: if the shape inference fails.
-
-
-- - -
-
#### `tf.TensorArray.unstack(value, name=None)` {#TensorArray.unstack}
Unstack the values of a `Tensor` in the TensorArray.
diff --git a/tensorflow/g3doc/api_docs/python/tensor_array_ops.md b/tensorflow/g3doc/api_docs/python/tensor_array_ops.md
index e715ebacc6..f8e76333b7 100644
--- a/tensorflow/g3doc/api_docs/python/tensor_array_ops.md
+++ b/tensorflow/g3doc/api_docs/python/tensor_array_ops.md
@@ -83,25 +83,6 @@ must all match.
- - -
-#### `tf.TensorArray.pack(*args, **kwargs)` {#TensorArray.pack}
-
-Return the values in the TensorArray as a stacked `Tensor`.
-
-All of the values must have been written and their shapes must all match.
-If input shapes have rank-`R`, then output shape will have rank-`(R+1)`.
-
-##### Args:
-
-
-* <b>`name`</b>: A name for the operation (optional).
-
-##### Returns:
-
- All the tensors in the TensorArray stacked into one tensor.
-
-
-- - -
-
#### `tf.TensorArray.stack(name=None)` {#TensorArray.stack}
Return the values in the TensorArray as a stacked `Tensor`.
@@ -190,32 +171,6 @@ Scatter the values of a `Tensor` in specific indices of a `TensorArray`.
- - -
-#### `tf.TensorArray.unpack(*args, **kwargs)` {#TensorArray.unpack}
-
-Unstack the values of a `Tensor` in the TensorArray.
-
-If input value shapes have rank-`R`, then the output TensorArray will
-contain elements whose shapes are rank-`(R-1)`.
-
-##### Args:
-
-
-* <b>`value`</b>: (N+1)-D. Tensor of type `dtype`. The Tensor to unstack.
-* <b>`name`</b>: A name for the operation (optional).
-
-##### Returns:
-
- A new TensorArray object with flow that ensures the unstack occurs.
- Use this object all for subsequent operations.
-
-##### Raises:
-
-
-* <b>`ValueError`</b>: if the shape inference fails.
-
-
-- - -
-
#### `tf.TensorArray.unstack(value, name=None)` {#TensorArray.unstack}
Unstack the values of a `Tensor` in the TensorArray.