Package | Description |
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org.bytedeco.tensorflow |
Modifier and Type | Method and Description |
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FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.data_format_(BytePointer setter) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.data_format_(BytePointer setter) |
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.DataFormat(BytePointer x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.DataFormat(BytePointer x)
The data format for x and y.
|
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.DataFormat(BytePointer x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.DataFormat(BytePointer x)
The data format for x and y.
|
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.DataFormat(String x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.DataFormat(String x) |
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.DataFormat(String x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.DataFormat(String x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.epsilon_(float setter) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.epsilon_(float setter) |
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.Epsilon(float x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.Epsilon(float x)
A small float number added to the variance of x.
|
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.Epsilon(float x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.Epsilon(float x)
A small float number added to the variance of x.
|
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.getPointer(long i) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.getPointer(long i) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.is_training_(boolean setter) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.is_training_(boolean setter) |
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.IsTraining(boolean x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.IsTraining(boolean x)
A bool value to indicate the operation is for training (default)
or inference.
|
static FusedBatchNormV2.Attrs |
FusedBatchNormV2.IsTraining(boolean x) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.IsTraining(boolean x)
A bool value to indicate the operation is for training (default)
or inference.
|
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.position(long position) |
FusedBatchNormV2.Attrs |
FusedBatchNormV2.Attrs.position(long position) |
Constructor and Description |
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FusedBatchNormV2(Scope scope,
Input x,
Input scale,
Input offset,
Input mean,
Input variance,
FusedBatchNormV2.Attrs attrs) |
FusedBatchNormV2(Scope scope,
Input x,
Input scale,
Input offset,
Input mean,
Input variance,
FusedBatchNormV2.Attrs attrs) |
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