com
.
intel
.
analytics
.
zoo
.
pipeline
.
inference
InferenceSupportive
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object InferenceSupportive
|
package inference
trait
InferenceSupportive
extends
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Linear Supertypes
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,
Any
Known Subclasses
AbstractInferenceModel
,
FloatModel
,
InferenceModel
,
InferenceModelFactory
,
ModelLoader
,
OpenVINOModel
,
OpenVinoInferenceSupportive
,
OpenVinoInferenceSupportive
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InferenceSupportive
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final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
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final
def
##
()
:
Int
Definition Classes
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final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
def
clearWeightBias
(
model:
Module
[
Float
]
)
:
Unit
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
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Annotations
@throws
(
...
)
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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def
equals
(
arg0:
Any
)
:
Boolean
Definition Classes
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def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
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Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
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def
hashCode
()
:
Int
Definition Classes
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final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
def
makeMetaModel
(
original:
AbstractModule
[
Activity
,
Activity
,
Float
]
)
:
AbstractModule
[
Activity
,
Activity
,
Float
]
def
makeUpModel
(
clonedModel:
Module
[
Float
]
,
weightBias:
Array
[
Tensor
[
Float
]]
)
:
AbstractModule
[
Activity
,
Activity
,
Float
]
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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final
def
notify
()
:
Unit
Definition Classes
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final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
def
releaseWeightBias
(
model:
Module
[
Float
]
)
:
Unit
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
def
timing
[
T
]
(
name:
String
)
(
f: ⇒
T
)
:
T
def
toString
()
:
String
Definition Classes
AnyRef → Any
def
transferBatchTableToJListOfJListOfJTensor
(
batchTable:
Table
,
batchSize:
Int
)
:
List
[
List
[
JTensor
]]
def
transferBatchTensorToJListOfJListOfJTensor
(
batchTensor:
Tensor
[
Float
]
,
batchSize:
Int
)
:
List
[
List
[
JTensor
]]
def
transferListOfActivityToActivityOfBatch
(
inputs:
List
[
List
[
JTensor
]]
,
batchSize:
Int
)
:
Activity
def
transferTensorToJTensor
(
input:
Tensor
[
Float
]
)
:
JTensor
def
transferTensorsToTensorOfBatch
(
tensors:
Array
[
JTensor
]
)
:
Tensor
[
Float
]
final
def
wait
()
:
Unit
Definition Classes
AnyRef
Annotations
@throws
(
...
)
final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
Definition Classes
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Annotations
@throws
(
...
)
final
def
wait
(
arg0:
Long
)
:
Unit
Definition Classes
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@throws
(
...
)
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