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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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dbd7a2c9
编写于
1月 16, 2017
作者:
A
A. Unique TensorFlower
提交者:
TensorFlower Gardener
1月 16, 2017
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差异文件
Update generated Python Op docs.
Change: 144648190
上级
1580d3b4
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
8 addition
and
44 deletion
+8
-44
tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf_debug.DumpingDebugWrapperSession.md
...and_classes/shard0/tf_debug.DumpingDebugWrapperSession.md
+4
-22
tensorflow/g3doc/api_docs/python/tf_debug.md
tensorflow/g3doc/api_docs/python/tf_debug.md
+4
-22
未找到文件。
tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf_debug.DumpingDebugWrapperSession.md
浏览文件 @
dbd7a2c9
...
...
@@ -32,34 +32,16 @@ Constructor of DumpingDebugWrapperSession.
`session_root`
. The subdirectories' names has the following pattern:
run_
<epoch_time_stamp>
_
<uuid>
E.g., run_1480734393835964_ad4c953a85444900ae79fc1b652fb324
*
<b>
`watch_fn`
</b>
: (
`Callable`
) A Callable of the following signature:
```
def watch_fn(fetches, feeds):
# Args:
# fetches: the fetches to the `Session.run()` call.
# feeds: the feeds to the `Session.run()` call.
#
# Returns: (node_name_regex_whitelist, op_type_regex_whitelist)
# debug_ops: (str or list of str) Debug op(s) to be used by the
# debugger in this run() call.
# node_name_regex_whitelist: Regular-expression whitelist for node
# name. Same as the corresponding arg to `debug_util.watch_graph`.
# op_type_regex_whiteslit: Regular-expression whitelist for op type.
# Same as the corresponding arg to `debug_util.watch_graph`.
#
# Both or either can be None. If both are set, the two whitelists
# will operate in a logical AND relation. This is consistent with
# `debug_utils.watch_graph()`.
```
*
<b>
`watch_fn`
</b>
: (
`Callable`
) A Callable that can be used to define per-run
debug ops and watched tensors. See the doc of
`NonInteractiveDebugWrapperSession.__init__()`
for details.
*
<b>
`log_usage`
</b>
: (
`bool`
) whether the usage of this class is to be logged.
##### Raises:
*
<b>
`ValueError`
</b>
: If
`session_root`
is an existing and non-empty directory or
if
`session_root`
is a file.
*
<b>
`TypeError`
</b>
: If a non-None
`watch_fn`
is specified and it is not callable.
if
`session_root`
is a file.
- - -
...
...
tensorflow/g3doc/api_docs/python/tf_debug.md
浏览文件 @
dbd7a2c9
...
...
@@ -1069,34 +1069,16 @@ Constructor of DumpingDebugWrapperSession.
`
session_root
`. The subdirectories' names has the following pattern:
run_<epoch_time_stamp>_<uuid>
E.g., run_1480734393835964_ad4c953a85444900ae79fc1b652fb324
* <b>`
watch_fn
`</b>: (`
Callable
`) A Callable of the following signature:
```
def watch_fn(fetches, feeds):
# Args:
# fetches: the fetches to the `Session.run()` call.
# feeds: the feeds to the `Session.run()` call.
#
# Returns: (node_name_regex_whitelist, op_type_regex_whitelist)
# debug_ops: (str or list of str) Debug op(s) to be used by the
# debugger in this run() call.
# node_name_regex_whitelist: Regular-expression whitelist for node
# name. Same as the corresponding arg to `debug_util.watch_graph`.
# op_type_regex_whiteslit: Regular-expression whitelist for op type.
# Same as the corresponding arg to `debug_util.watch_graph`.
#
# Both or either can be None. If both are set, the two whitelists
# will operate in a logical AND relation. This is consistent with
# `debug_utils.watch_graph()`.
```
* <b>`
watch_fn
`</b>: (`
Callable
`) A Callable that can be used to define per-run
debug ops and watched tensors. See the doc of
`
NonInteractiveDebugWrapperSession.__init__()
` for details.
* <b>`
log_usage
`</b>: (`
bool
`) whether the usage of this class is to be logged.
##### Raises:
* <b>`
ValueError
`</b>: If `
session_root
` is an existing and non-empty directory or
if
`
session_root
` is a file.
* <b>`
TypeError
`</b>: If a non-None `
watch_fn
` is specified and it is not callable.
if `
session_root
` is a file.
- - -
...
...
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