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intel
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zoo
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pipeline
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inference
ModelLoader
object
ModelLoader
extends
InferenceSupportive
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ModelLoader
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final
def
!=
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arg0:
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:
Boolean
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final
def
!=
(
arg0:
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:
Boolean
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final
def
##
()
:
Int
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final
def
==
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:
Boolean
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final
def
==
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)
:
Boolean
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final
def
asInstanceOf
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:
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def
clone
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def
eq
(
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:
Boolean
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def
equals
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)
:
Boolean
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def
finalize
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@throws
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final
def
getClass
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Class
[_]
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def
hashCode
()
:
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final
def
isInstanceOf
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T0
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:
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def
loadFloatModel
(
modelPath:
String
,
weightPath:
String
)
:
AbstractModule
[
Activity
,
Activity
,
Float
]
def
loadFloatModelForCaffe
(
modelPath:
String
,
weightPath:
String
)
:
AbstractModule
[
Activity
,
Activity
,
Float
]
def
loadFloatModelForTF
(
modelPath:
String
,
config:
SessionConfig
=
TFNet.defaultSessionConfig
)
:
AbstractModule
[
Activity
,
Activity
,
Float
]
val
logger
:
Logger
final
def
ne
(
arg0:
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)
:
Boolean
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final
def
notify
()
:
Unit
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final
def
notifyAll
()
:
Unit
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final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
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def
timing
[
T
]
(
name:
String
)
(
f: ⇒
T
)
:
T
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def
toString
()
:
String
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def
transferInputToSample
(
input:
List
[
Float
]
,
inputShape:
List
[
Integer
]
)
:
Sample
[
Float
]
Definition Classes
InferenceSupportive
Annotations
@inline
()
def
transferTensorToJTensor
(
input:
Tensor
[
Float
]
)
:
JTensor
Definition Classes
InferenceSupportive
final
def
wait
()
:
Unit
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@throws
(
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final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
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@throws
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)
final
def
wait
(
arg0:
Long
)
:
Unit
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