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-rw-r--r--tensorflow/python/ops/array_ops.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/python/ops/array_ops.py b/tensorflow/python/ops/array_ops.py
index c64813962a..34380951af 100644
--- a/tensorflow/python/ops/array_ops.py
+++ b/tensorflow/python/ops/array_ops.py
@@ -586,7 +586,7 @@ def strided_slice(input_,
`foo[::-1]` reverses a tensor with shape 8.
- If the ith bit of `ellipsis_mask`, as many unspecified dimensions
+ If the ith bit of `ellipsis_mask` is non-zero, as many unspecified dimensions
as needed will be inserted between other dimensions. Only one
non-zero bit is allowed in `ellipsis_mask`.
@@ -594,7 +594,7 @@ def strided_slice(input_,
equivalent to `foo[3:5,:,:,4:5]` and
`foo[3:5,...]` is equivalent to `foo[3:5,:,:,:]`.
- If the ith bit of `new_axis_mask` is one, then a `begin`,
+ If the ith bit of `new_axis_mask` is one, then `begin`,
`end`, and `stride` are ignored and a new length 1 dimension is
added at this point in the output tensor.
@@ -1545,7 +1545,7 @@ def sparse_placeholder(dtype, shape=None, name=None):
x: (indices, values, shape)})) # Will succeed.
sp = tf.SparseTensor(indices=indices, values=values, dense_shape=shape)
- sp_value = sp.eval(session)
+ sp_value = sp.eval(session=sess)
print(sess.run(y, feed_dict={x: sp_value})) # Will succeed.
```