def test_eq(self): x1 = provider.BlobReference(url="foo", blob_key="baz") x2 = provider.BlobReference(url="foo", blob_key="baz") x3 = provider.BlobReference(url="foo", blob_key="qux") self.assertEqual(x1, x2) self.assertNotEqual(x1, x3) self.assertNotEqual(x1, object())
def test_hash(self): x1 = provider.BlobReference(url="foo", blob_key="baz") x2 = provider.BlobReference(url="foo", blob_key="baz") x3 = provider.BlobReference(url="foo", blob_key="qux") self.assertEqual(hash(x1), hash(x2)) # The next check is technically not required by the `__hash__` # contract, but _should_ pass; failure on this assertion would at # least warrant some scrutiny. self.assertNotEqual(hash(x1), hash(x3))
def test_read_blob_sequences(self):
res = data_provider_pb2.ReadBlobSequencesResponse()
run = res.runs.add(run_name="test")
tag = run.tags.add(tag_name="input_image")
tag.data.step.extend([0, 1])
tag.data.wall_time.extend([1234.0, 1235.0])
seq0 = tag.data.values.add()
seq0.blob_refs.add(blob_key="step0img0")
seq0.blob_refs.add(blob_key="step0img1")
seq1 = tag.data.values.add()
seq1.blob_refs.add(blob_key="step1img0")
self.stub.ReadBlobSequences.return_value = res
actual = self.provider.read_blob_sequences(
self.ctx,
experiment_id="123",
plugin_name="images",
run_tag_filter=provider.RunTagFilter(runs=["test", "nope"]),
downsample=4,
)
expected = {
"test": {
"input_image": [
provider.BlobSequenceDatum(
step=0,
wall_time=1234.0,
values=(
provider.BlobReference(blob_key="step0img0"),
provider.BlobReference(blob_key="step0img1"),
),
),
provider.BlobSequenceDatum(
step=1,
wall_time=1235.0,
values=(provider.BlobReference(
blob_key="step1img0"), ),
),
],
},
}
self.assertEqual(actual, expected)
req = data_provider_pb2.ReadBlobSequencesRequest()
req.experiment_id = "123"
req.plugin_filter.plugin_name = "images"
req.run_tag_filter.runs.names.extend(["nope", "test"]) # sorted
req.downsample.num_points = 4
self.stub.ReadBlobSequences.assert_called_once_with(req)
def read_blob_sequences(
self, experiment_id, plugin_name, downsample=None, run_tag_filter=None
):
del experiment_id, downsample # Unused.
if plugin_name != PLUGIN_NAME:
raise ValueError("Unsupported plugin_name: %s" % plugin_name)
if run_tag_filter.runs is None:
raise ValueError(
"run_tag_filter.runs is expected to be specified, but is not."
)
if run_tag_filter.tags is None:
raise ValueError(
"run_tag_filter.tags is expected to be specified, but is not."
)
output = dict()
existing_runs = self._multiplexer.Runs()
for run in run_tag_filter.runs:
if run not in existing_runs:
continue
output[run] = dict()
for tag in run_tag_filter.tags:
if (
tag.startswith(EXECUTION_DIGESTS_BLOB_TAG_PREFIX)
or tag.startswith(SOURCE_FILE_BLOB_TAG_PREFIX)
or tag in (SOURCE_FILE_LIST_BLOB_TAG,)
):
output[run][tag] = [
provider.BlobReference(blob_key="%s.%s" % (tag, run))
]
return output
def _convert_blob_sequence_event(experiment_id, plugin_name, run, tag, event):
"""Helper for `read_blob_sequences`."""
num_blobs = _tensor_size(event.tensor_proto)
values = tuple(
provider.BlobReference(
_encode_blob_key(
experiment_id, plugin_name, run, tag, event.step, idx,
)
)
for idx in range(num_blobs)
)
return provider.BlobSequenceDatum(
wall_time=event.wall_time, step=event.step, values=values,
)
def read_blob_sequences(self,
experiment_id,
plugin_name,
downsample=None,
run_tag_filter=None):
self._validate_experiment_id(experiment_id)
# TODO(davidsoergel, wchargin): consider images, etc.
# Note this plugin_name can really just be 'graphs' for now; the
# v2 cases are not handled yet.
if plugin_name != graphs_metadata.PLUGIN_NAME:
logger.warn("Directory has no blob data for plugin %r",
plugin_name)
return {}
result = collections.defaultdict(
lambda: collections.defaultdict(lambda: []))
for (run, run_info) in six.iteritems(self._multiplexer.Runs()):
tag = None
if not self._test_run_tag(run_tag_filter, run, tag):
continue
if not run_info[plugin_event_accumulator.GRAPH]:
continue
time_series = result[run][tag]
wall_time = 0.0 # dummy value for graph
step = 0 # dummy value for graph
index = 0 # dummy value for graph
# In some situations these blobs may have directly accessible URLs.
# But, for now, we assume they don't.
graph_url = None
graph_blob_key = _encode_blob_key(experiment_id, plugin_name, run,
tag, step, index)
blob_ref = provider.BlobReference(graph_blob_key, graph_url)
datum = provider.BlobSequenceDatum(
wall_time=wall_time,
step=step,
values=(blob_ref, ),
)
time_series.append(datum)
return result
def _convert_blob_references(prefix, references):
"""Encode all blob keys in a list of blob references.
Args:
prefix: The prefix of the sub-provider that generated the sub-key,
or `None` if this was generated by the unprefixed provider.
references: A list of `provider.BlobReference`s emitted by a
sub-provider.
Returns:
A new list of `provider.BlobReference`s whose blob keys have been
encoded per `_encode_blob_key`.
"""
return [
provider.BlobReference(
blob_key=_encode_blob_key(prefix, r.blob_key),
url=r.url,
) for r in references
]
def read_blob_sequences(
self,
ctx,
experiment_id,
plugin_name,
downsample=None,
run_tag_filter=None,
):
with timing.log_latency("build request"):
req = data_provider_pb2.ReadBlobSequencesRequest()
req.experiment_id = experiment_id
req.plugin_filter.plugin_name = plugin_name
_populate_rtf(run_tag_filter, req.run_tag_filter)
req.downsample.num_points = downsample
with timing.log_latency("_stub.ReadBlobSequences"):
with _translate_grpc_error():
res = self._stub.ReadBlobSequences(req)
with timing.log_latency("build result"):
result = {}
for run_entry in res.runs:
tags = {}
result[run_entry.run_name] = tags
for tag_entry in run_entry.tags:
series = []
tags[tag_entry.tag_name] = series
d = tag_entry.data
for (step, wt, blob_sequence) in zip(
d.step, d.wall_time, d.values
):
values = []
for ref in blob_sequence.blob_refs:
values.append(
provider.BlobReference(
blob_key=ref.blob_key, url=ref.url or None
)
)
point = provider.BlobSequenceDatum(
step=step, wall_time=wt, values=tuple(values)
)
series.append(point)
return result
def test_repr(self): x = provider.BlobReference(url="foo", blob_key="baz") repr_ = repr(x) self.assertIn(repr(x.url), repr_) self.assertIn(repr(x.blob_key), repr_)
def _make_blob_reference(self, text):
key = base64.urlsafe_b64encode(
("%s:%s" % (self._name, text)).encode("utf-8")).decode("ascii")
return provider.BlobReference(key)
