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author | 2016-11-01 15:58:53 -0800 | |
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committer | 2016-11-01 17:04:05 -0700 | |
commit | 0b142e0dfbab63d61559ce0a347261b179c19beb (patch) | |
tree | da27a635b5c7b78b34b601c5efae4a9054124258 | |
parent | a95f95a60b20fb48fbfcae8da4afaa9412582746 (diff) |
Update generated Python Op docs.
Change: 137889948
4 files changed, 30 insertions, 8 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.sparse_minimum.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.sparse_minimum.md index 4419f736b9..1455e3e533 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.sparse_minimum.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.sparse_minimum.md @@ -6,8 +6,8 @@ Assumes the two SparseTensors have the same shape, i.e., no broadcasting. Example: ```python -sp_zero = ops.SparseTensor([[0]], [0], [7]) -sp_one = ops.SparseTensor([[1]], [1], [7]) +sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7]) +sp_one = sparse_tensor.SparseTensor([[1]], [1], [7]) res = tf.sparse_minimum(sp_zero, sp_one).eval() # "res" should be equal to SparseTensor([[0], [1]], [0, 0], [7]). ``` diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.SparseTensor.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.SparseTensor.md index 4bead96bc9..d89b4e70c4 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.SparseTensor.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.SparseTensor.md @@ -75,6 +75,17 @@ Creates a `SparseTensor`. - - - +#### `tf.SparseTensor.get_shape()` {#SparseTensor.get_shape} + +Get the `TensorShape` that represents the shape of the dense tensor. + +##### Returns: + + A `TensorShape` object. + + +- - - + #### `tf.SparseTensor.indices` {#SparseTensor.indices} The indices of non-zero values in the represented dense tensor. diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.sparse_maximum.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.sparse_maximum.md index b934c3b1cd..2f2759f2c6 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.sparse_maximum.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard5/tf.sparse_maximum.md @@ -6,8 +6,8 @@ Assumes the two SparseTensors have the same shape, i.e., no broadcasting. Example: ```python -sp_zero = ops.SparseTensor([[0]], [0], [7]) -sp_one = ops.SparseTensor([[1]], [1], [7]) +sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7]) +sp_one = sparse_tensor.SparseTensor([[1]], [1], [7]) res = tf.sparse_maximum(sp_zero, sp_one).eval() # "res" should be equal to SparseTensor([[0], [1]], [0, 1], [7]). ``` diff --git a/tensorflow/g3doc/api_docs/python/sparse_ops.md b/tensorflow/g3doc/api_docs/python/sparse_ops.md index f3f241672d..51968de26f 100644 --- a/tensorflow/g3doc/api_docs/python/sparse_ops.md +++ b/tensorflow/g3doc/api_docs/python/sparse_ops.md @@ -95,6 +95,17 @@ Creates a `SparseTensor`. - - - +#### `tf.SparseTensor.get_shape()` {#SparseTensor.get_shape} + +Get the `TensorShape` that represents the shape of the dense tensor. + +##### Returns: + + A `TensorShape` object. + + +- - - + #### `tf.SparseTensor.indices` {#SparseTensor.indices} The indices of non-zero values in the represented dense tensor. @@ -1368,8 +1379,8 @@ Assumes the two SparseTensors have the same shape, i.e., no broadcasting. Example: ```python -sp_zero = ops.SparseTensor([[0]], [0], [7]) -sp_one = ops.SparseTensor([[1]], [1], [7]) +sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7]) +sp_one = sparse_tensor.SparseTensor([[1]], [1], [7]) res = tf.sparse_maximum(sp_zero, sp_one).eval() # "res" should be equal to SparseTensor([[0], [1]], [0, 1], [7]). ``` @@ -1399,8 +1410,8 @@ Assumes the two SparseTensors have the same shape, i.e., no broadcasting. Example: ```python -sp_zero = ops.SparseTensor([[0]], [0], [7]) -sp_one = ops.SparseTensor([[1]], [1], [7]) +sp_zero = sparse_tensor.SparseTensor([[0]], [0], [7]) +sp_one = sparse_tensor.SparseTensor([[1]], [1], [7]) res = tf.sparse_minimum(sp_zero, sp_one).eval() # "res" should be equal to SparseTensor([[0], [1]], [0, 0], [7]). ``` |