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Add --samples_per_plugin to specify explicit sampling counts #1138

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merged 1 commit into from Apr 18, 2018
Merged

Add --samples_per_plugin to specify explicit sampling counts #1138

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18 changes: 16 additions & 2 deletions tensorboard/backend/application.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,6 +71,20 @@
_VALID_PLUGIN_RE = re.compile(r'^[A-Za-z0-9_.-]+$')


def tensor_size_guidance_from_flags(flags):
"""Apply user per-summary size guidance overrides."""

tensor_size_guidance = dict(DEFAULT_TENSOR_SIZE_GUIDANCE)
if not flags or not flags.samples_per_plugin:
return tensor_size_guidance

for token in flags.samples_per_plugin.split(','):
k, v = token.strip().split('=')
tensor_size_guidance[k] = int(v)

return tensor_size_guidance


def standard_tensorboard_wsgi(
logdir,
purge_orphaned_data,
Expand All @@ -90,13 +104,13 @@ def standard_tensorboard_wsgi(
reload_interval: The interval at which the backend reloads more data in
seconds. Zero means load once at startup; negative means never load.
plugins: A list of constructor functions for TBPlugin subclasses.
path_prefix: A prefix of the path when app isn't served from root.
db_uri: A String containing the URI of the SQL database for persisting
data, or empty for memory-only mode.
assets_zip_provider: See TBContext documentation for more information.
If this value is not specified, this function will attempt to load
the `tensorboard.default` module to use the default. This behavior
might be removed in the future.
path_prefix: A prefix of the path when app isn't served from root.
window_title: A string specifying the the window title.
max_reload_threads: The max number of threads that TensorBoard can use
to reload runs. Not relevant for db mode. Each thread reloads one run
Expand All @@ -110,7 +124,7 @@ def standard_tensorboard_wsgi(
assets_zip_provider = default.get_assets_zip_provider()
multiplexer = event_multiplexer.EventMultiplexer(
size_guidance=DEFAULT_SIZE_GUIDANCE,
tensor_size_guidance=DEFAULT_TENSOR_SIZE_GUIDANCE,
tensor_size_guidance=tensor_size_guidance_from_flags(flags),
purge_orphaned_data=purge_orphaned_data,
max_reload_threads=max_reload_threads)
db_module, db_connection_provider = get_database_info(db_uri)
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10 changes: 10 additions & 0 deletions tensorboard/program.py
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Original file line number Diff line number Diff line change
Expand Up @@ -128,6 +128,16 @@
'The max number of threads that TensorBoard can use to reload runs. Not '
'relevant for db mode. Each thread reloads one run at a time.')

tf.flags.DEFINE_string(
'samples_per_plugin', '', 'An optional comma separated list of '
'plugin_name=num_samples pairs to explicitly specify how many samples to '
'keep per tag for that plugin. For unspecified plugins, TensorBoard '
'randomly downsamples logged summaries to reasonable values to prevent '
'out-of-memory errors for long running jobs. This flag allows fine control '
'over that downsampling. Note that 0 means keep all samples of that type. '
'For instance, "scalars=500,images=0" keeps 500 scalars and all images. '
'Most users should not need to set this flag.')

FLAGS = tf.flags.FLAGS


Expand Down