object Tensorflow
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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
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- def add(x: NodeDef, y: NodeDef, name: String): NodeDef
- def addN(inputs: Seq[NodeDef], name: String): NodeDef
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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- def avgPool(value: NodeDef, kW: Int, kH: Int, pW: Int, pH: Int, sW: Int, sH: Int, dataFormat: TensorflowDataFormat, name: String, ceilMode: Boolean): NodeDef
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def
biasAdd(value: NodeDef, bias: NodeDef, dataFormat: TensorflowDataFormat, name: String): NodeDef
Generate a biasAdd tensorflow protobuf node
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def
bigdlModule(module: AbstractModule[_, _, _], inputs: Iterable[String]): NodeDef
Convert a bigdl module to a tensorflow nodedef
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def
clone(): AnyRef
- Attributes
- protected[java.lang]
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- @native() @throws( ... )
- def concat(inputs: Seq[NodeDef], name: String): NodeDef
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def
const(value: Tensor[_], name: String, byteOrder: ByteOrder): NodeDef
Generate a const tensorflow protobuf node
- def conv2D(input: NodeDef, filter: NodeDef, sW: Int, sH: Int, kW: Int, kH: Int, pW: Int, pH: Int, dataFormat: TensorflowDataFormat, name: String): NodeDef
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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-
def
expandDims(input: NodeDef, dim: NodeDef, name: String): NodeDef
Generate a ExpandDims tensorflow protobuf node
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def
finalize(): Unit
- Attributes
- protected[java.lang]
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- @throws( classOf[java.lang.Throwable] )
- def floor(x: NodeDef, name: String): NodeDef
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final
def
getClass(): Class[_]
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- @native()
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def
hashCode(): Int
- Definition Classes
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- Annotations
- @native()
-
def
identity(input: NodeDef, name: String): NodeDef
Generate an identity tensorflow protobuf node
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def logSoftmax(logits: NodeDef, name: String): NodeDef
- def lrn(input: NodeDef, depthRadius: Int, bias: Float, alpha: Float, beta: Float, name: String): NodeDef
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def
matmul(a: NodeDef, b: NodeDef, name: String, transposeA: Boolean = false, transposeB: Boolean = false): NodeDef
Generate a matmul tensorflow protobuf node
- def maxPool(value: NodeDef, kW: Int, kH: Int, pW: Int, pH: Int, sW: Int, sH: Int, dataFormat: TensorflowDataFormat, name: String, ceilMode: Boolean = false): NodeDef
- def multiply(x: NodeDef, y: NodeDef, name: String): NodeDef
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
- Definition Classes
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- @native()
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final
def
notifyAll(): Unit
- Definition Classes
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- Annotations
- @native()
- def pad(tensor: NodeDef, paddings: NodeDef, name: String): NodeDef
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def
placeholder(dtype: TensorDataType, shape: Seq[Int], name: String): NodeDef
Generate a placeholder tensorflow protobuf node
Generate a placeholder tensorflow protobuf node
- dtype
numeric type
- shape
shape
- name
node name
- def randomUniform(shape: NodeDef, name: String, dtype: DataType = DataType.DT_FLOAT, seed: Int = 0): NodeDef
- def realdiv(x: NodeDef, y: NodeDef, name: String): NodeDef
- def reduceMean(inputTensor: NodeDef, axis: NodeDef, keepDim: Boolean, name: String): NodeDef
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def
relu(features: NodeDef, name: String): NodeDef
Generate a relu tensorflow protobuf node
- def reshape(tensor: NodeDef, shape: NodeDef, name: String): NodeDef
- def rsqrt(x: NodeDef, name: String): NodeDef
- def shape(input: NodeDef, name: String, outType: DataType = DataType.DT_INT32): NodeDef
- def sigmoid(x: NodeDef, name: String): NodeDef
- def softmax(logits: NodeDef, name: String): NodeDef
- def split(splitDim: NodeDef, value: NodeDef, numSplit: Int, name: String): Seq[NodeDef]
- def squeeze(input: NodeDef, axis: Seq[Int], name: String): NodeDef
- def subtract(x: NodeDef, y: NodeDef, name: String): NodeDef
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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- def tanh(input: NodeDef, name: String): NodeDef
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def
toString(): String
- Definition Classes
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- def transpose(x: NodeDef, perm: NodeDef, name: String): NodeDef
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final
def
wait(): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
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- @native() @throws( ... )