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1d65b86d
编写于
12月 17, 2020
作者:
走神的阿圆
提交者:
GitHub
12月 17, 2020
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电子邮件补丁
差异文件
add backend api for hidi (#868)
* add backend code for hidi v2
上级
53a31e3b
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
72 addition
and
1 deletion
+72
-1
visualdl/server/api.py
visualdl/server/api.py
+17
-0
visualdl/server/data_manager.py
visualdl/server/data_manager.py
+1
-1
visualdl/server/lib.py
visualdl/server/lib.py
+54
-0
未找到文件。
visualdl/server/api.py
浏览文件 @
1d65b86d
...
@@ -146,6 +146,20 @@ class Api(object):
...
@@ -146,6 +146,20 @@ class Api(object):
key
=
os
.
path
.
join
(
'data/plugin/embeddings/embeddings'
,
run
,
str
(
dimension
),
reduction
)
key
=
os
.
path
.
join
(
'data/plugin/embeddings/embeddings'
,
run
,
str
(
dimension
),
reduction
)
return
self
.
_get_with_retry
(
key
,
lib
.
get_embeddings
,
run
,
tag
,
reduction
,
dimension
)
return
self
.
_get_with_retry
(
key
,
lib
.
get_embeddings
,
run
,
tag
,
reduction
,
dimension
)
@
result
()
def
embedding_list
(
self
):
return
self
.
_get_with_retry
(
'data/plugin/embeddings/list'
,
lib
.
get_embeddings_list
)
@
result
(
'text/tab-separated-values'
)
def
embedding_metadata
(
self
,
name
):
key
=
os
.
path
.
join
(
'data/plugin/embeddings/metadata'
,
name
)
return
self
.
_get_with_retry
(
key
,
lib
.
get_embedding_labels
,
name
)
@
result
(
'application/octet-stream'
)
def
embedding_tensor
(
self
,
name
):
key
=
os
.
path
.
join
(
'data/plugin/embeddings/tensor'
,
name
)
return
self
.
_get_with_retry
(
key
,
lib
.
get_embedding_tensors
,
name
)
@
result
()
@
result
()
def
histogram_tags
(
self
):
def
histogram_tags
(
self
):
return
self
.
_get_with_retry
(
'data/plugin/histogram/tags'
,
lib
.
get_histogram_tags
)
return
self
.
_get_with_retry
(
'data/plugin/histogram/tags'
,
lib
.
get_histogram_tags
)
...
@@ -190,6 +204,9 @@ def create_api_call(logdir, model, cache_timeout):
...
@@ -190,6 +204,9 @@ def create_api_call(logdir, model, cache_timeout):
'audio/list'
:
(
api
.
audio_list
,
[
'run'
,
'tag'
]),
'audio/list'
:
(
api
.
audio_list
,
[
'run'
,
'tag'
]),
'audio/audio'
:
(
api
.
audio_audio
,
[
'run'
,
'tag'
,
'index'
]),
'audio/audio'
:
(
api
.
audio_audio
,
[
'run'
,
'tag'
,
'index'
]),
'embedding/embedding'
:
(
api
.
embedding_embedding
,
[
'run'
,
'tag'
,
'reduction'
,
'dimension'
]),
'embedding/embedding'
:
(
api
.
embedding_embedding
,
[
'run'
,
'tag'
,
'reduction'
,
'dimension'
]),
'embedding/list'
:
(
api
.
embedding_list
,
[]),
'embedding/tensor'
:
(
api
.
embedding_tensor
,
[
'name'
]),
'embedding/metadata'
:
(
api
.
embedding_metadata
,
[
'name'
]),
'histogram/list'
:
(
api
.
histogram_list
,
[
'run'
,
'tag'
]),
'histogram/list'
:
(
api
.
histogram_list
,
[
'run'
,
'tag'
]),
'graph/graph'
:
(
api
.
graph_graph
,
[]),
'graph/graph'
:
(
api
.
graph_graph
,
[]),
'pr-curve/list'
:
(
api
.
pr_curves_pr_curve
,
[
'run'
,
'tag'
]),
'pr-curve/list'
:
(
api
.
pr_curves_pr_curve
,
[
'run'
,
'tag'
]),
...
...
visualdl/server/data_manager.py
浏览文件 @
1d65b86d
...
@@ -21,7 +21,7 @@ DEFAULT_PLUGIN_MAXSIZE = {
...
@@ -21,7 +21,7 @@ DEFAULT_PLUGIN_MAXSIZE = {
"scalar"
:
1000
,
"scalar"
:
1000
,
"image"
:
10
,
"image"
:
10
,
"histogram"
:
100
,
"histogram"
:
100
,
"embeddings"
:
50000
,
"embeddings"
:
50000
000
,
"audio"
:
10
,
"audio"
:
10
,
"pr_curve"
:
300
,
"pr_curve"
:
300
,
"meta_data"
:
100
"meta_data"
:
100
...
...
visualdl/server/lib.py
浏览文件 @
1d65b86d
...
@@ -17,6 +17,8 @@ from __future__ import absolute_import
...
@@ -17,6 +17,8 @@ from __future__ import absolute_import
import
sys
import
sys
import
time
import
time
import
os
import
os
import
io
import
csv
from
functools
import
partial
from
functools
import
partial
import
numpy
as
np
import
numpy
as
np
from
visualdl.server.log
import
logger
from
visualdl.server.log
import
logger
...
@@ -27,6 +29,8 @@ from visualdl.component import components
...
@@ -27,6 +29,8 @@ from visualdl.component import components
MODIFY_PREFIX
=
{}
MODIFY_PREFIX
=
{}
MODIFIED_RUNS
=
[]
MODIFIED_RUNS
=
[]
EMBEDDING_NAME
=
{}
embedding_names
=
[]
def
s2ms
(
timestamp
):
def
s2ms
(
timestamp
):
...
@@ -196,6 +200,56 @@ def get_pr_curve_step(log_reader, run, tag=None):
...
@@ -196,6 +200,56 @@ def get_pr_curve_step(log_reader, run, tag=None):
return
results
return
results
def
get_embeddings_list
(
log_reader
):
run2tag
=
get_logs
(
log_reader
,
'embeddings'
)
for
run
,
_tags
in
zip
(
run2tag
[
'runs'
],
run2tag
[
'tags'
]):
for
tag
in
_tags
:
name
=
path
=
os
.
path
.
join
(
run
,
tag
)
if
name
in
EMBEDDING_NAME
:
return
embedding_names
EMBEDDING_NAME
.
update
({
name
:
{
'run'
:
run
,
'tag'
:
tag
}})
records
=
log_reader
.
data_manager
.
get_reservoir
(
"embeddings"
).
get_items
(
run
,
decode_tag
(
tag
))
row_len
=
len
(
records
[
0
].
embeddings
.
embeddings
)
col_len
=
len
(
records
[
0
].
embeddings
.
embeddings
[
0
].
vectors
)
shape
=
[
row_len
,
col_len
]
embedding_names
.
append
({
'name'
:
name
,
'shape'
:
shape
,
'path'
:
path
})
return
embedding_names
def
get_embedding_labels
(
log_reader
,
name
):
run
=
EMBEDDING_NAME
[
name
][
'run'
]
tag
=
EMBEDDING_NAME
[
name
][
'tag'
]
log_reader
.
load_new_data
()
records
=
log_reader
.
data_manager
.
get_reservoir
(
"embeddings"
).
get_items
(
run
,
decode_tag
(
tag
))
labels
=
[]
for
item
in
records
[
0
].
embeddings
.
embeddings
:
labels
.
append
([
item
.
label
])
with
io
.
StringIO
()
as
fp
:
csv_writer
=
csv
.
writer
(
fp
,
delimiter
=
'
\t
'
)
csv_writer
.
writerows
(
labels
)
labels
=
fp
.
getvalue
()
# labels = "\n".join(str(i) for i in labels)
return
labels
def
get_embedding_tensors
(
log_reader
,
name
):
run
=
EMBEDDING_NAME
[
name
][
'run'
]
tag
=
EMBEDDING_NAME
[
name
][
'tag'
]
log_reader
.
load_new_data
()
records
=
log_reader
.
data_manager
.
get_reservoir
(
"embeddings"
).
get_items
(
run
,
decode_tag
(
tag
))
vectors
=
[]
for
item
in
records
[
0
].
embeddings
.
embeddings
:
vectors
.
append
(
item
.
vectors
)
vectors
=
np
.
array
(
vectors
).
flatten
().
astype
(
np
.
float32
).
tobytes
()
return
vectors
def
get_embeddings
(
log_reader
,
run
,
tag
,
reduction
,
dimension
=
2
):
def
get_embeddings
(
log_reader
,
run
,
tag
,
reduction
,
dimension
=
2
):
run
=
log_reader
.
name2tags
[
run
]
if
run
in
log_reader
.
name2tags
else
run
run
=
log_reader
.
name2tags
[
run
]
if
run
in
log_reader
.
name2tags
else
run
log_reader
.
load_new_data
()
log_reader
.
load_new_data
()
...
...
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