experiments/STT-tensorflow
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Fix typos

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This commit is contained in:
Taehoon Lee 2017-07-31 11:02:39 +09:00
parent e2b0560812
commit 454fe936ca
4 changed files with 15 additions and 15 deletions
tensorflow
contrib/seq2seq/python/ops
attention_wrapper.py
python/debug/lib
debug_data.py
stream_executor/lib
demangle.cc
tools/api/lib
python_object_to_proto_visitor.py

2
tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py
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@ -299,7 +299,7 @@ def _luong_score(query, keys, scale):
# [batch_size, 1, depth] . [batch_size, depth, max_time]
# resulting in an output shape of:
# [batch_time, 1, max_time].
# we then squeee out the center singleton dimension.
# we then squeeze out the center singleton dimension.
score = math_ops.matmul(query, keys, transpose_b=True)
score = array_ops.squeeze(score, [1])

24
tensorflow/python/debug/lib/debug_data.py
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@ -1397,7 +1397,7 @@ class DebugDumpDir(object):
Args:
node_name: Name of the node in question.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
Attributes of the node.
@ -1419,7 +1419,7 @@ class DebugDumpDir(object):
is_control: (`bool`) Whether control inputs, rather than non-control
inputs, are to be returned.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
(`list` of `str`) inputs to the node, as a list of node names.
@ -1455,7 +1455,7 @@ class DebugDumpDir(object):
the source (e.g., A in this case). So the reverse direction of the ref
edge reflects the direction of information flow.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
(`list` of `str`) all transitive inputs to the node, as a list of node
@ -1524,7 +1524,7 @@ class DebugDumpDir(object):
the source (e.g., A in this case). So the reverse direction of the ref
edge reflects the direction of information flow.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
A path from the src_node_name to dst_node_name, as a `list` of `str`, if
@ -1581,7 +1581,7 @@ class DebugDumpDir(object):
is_control: (`bool`) whether control outputs, rather than non-control
outputs, are to be returned.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
(`list` of `str`) all inputs to the node, as a list of node names.
@ -1675,7 +1675,7 @@ class DebugDumpDir(object):
Args:
node_name: (`str`) name of the node.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
(`str`) op type of the node.
@ -1698,7 +1698,7 @@ class DebugDumpDir(object):
Args:
node_name: (`str`) name of the node.
device_name: (`str`) name of the device. If there is only one device or if
node_name exists on only one device, this argumnet is optional.
node_name exists on only one device, this argument is optional.
Returns:
(`list` of `str`) all debug tensor watch keys. Returns an empty list if
@ -1732,7 +1732,7 @@ class DebugDumpDir(object):
Args:
debug_watch_key: (`str`) debug watch key.
device_name: (`str`) name of the device. If there is only one device or if
the specified debug_watch_key exists on only one device, this argumnet
the specified debug_watch_key exists on only one device, this argument
is optional.
Returns:
@ -1813,7 +1813,7 @@ class DebugDumpDir(object):
output_slot: (`int`) output slot index of tensor.
debug_op: (`str`) name of the debug op.
device_name: (`str`) name of the device. If there is only one device or if
the specified debug_watch_key exists on only one device, this argumnet
the specified debug_watch_key exists on only one device, this argument
is optional.
Returns:
@ -1846,7 +1846,7 @@ class DebugDumpDir(object):
output_slot: (`int`) output slot index of tensor.
debug_op: (`str`) name of the debug op.
device_name: (`str`) name of the device. If there is only one device or if
the specified debug_watch_key exists on only one device, this argumnet
the specified debug_watch_key exists on only one device, this argument
is optional.
Returns:
@ -1884,7 +1884,7 @@ class DebugDumpDir(object):
output_slot: (`int`) output slot index of tensor.
debug_op: (`str`) name of the debug op.
device_name: (`str`) name of the device. If there is only one device or if
the specified debug_watch_key exists on only one device, this argumnet
the specified debug_watch_key exists on only one device, this argument
is optional.
Returns:
@ -1918,7 +1918,7 @@ class DebugDumpDir(object):
output_slot: (`int`) output slot index of tensor.
debug_op: (`str`) name of the debug op.
device_name: (`str`) name of the device. If there is only one device or if
the specified debug_watch_key exists on only one device, this argumnet
the specified debug_watch_key exists on only one device, this argument
is optional.
Returns:

2
tensorflow/stream_executor/lib/demangle.cc
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@ -41,7 +41,7 @@ string Demangle(const char *mangled) {
#if HAS_CXA_DEMANGLE
result = abi::__cxa_demangle(mangled, nullptr, nullptr, &status);
#endif
if (status == 0 && result != nullptr) { // Demangling succeeeded.
if (status == 0 && result != nullptr) { // Demangling succeeded.
demangled.append(result);
free(result);
}

2
tensorflow/tools/api/lib/python_object_to_proto_visitor.py
View File

@ -13,7 +13,7 @@
# limitations under the License.
#
# ==============================================================================
"""A visitor class that generates protobufs for each pyton object."""
"""A visitor class that generates protobufs for each python object."""
from __future__ import absolute_import
from __future__ import division