com.intel.analytics.bigdl.utils.tf

Tensorflow

object Tensorflow

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  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. def add(x: NodeDef, y: NodeDef, name: String): NodeDef

  7. def addN(inputs: Seq[NodeDef], name: String): NodeDef

  8. final def asInstanceOf[T0]: T0

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  9. def avgPool(value: NodeDef, kW: Int, kH: Int, pW: Int, pH: Int, sW: Int, sH: Int, dataFormat: TensorflowDataFormat, name: String): NodeDef

  10. def biasAdd(value: NodeDef, bias: NodeDef, dataFormat: TensorflowDataFormat, name: String): NodeDef

    Generate a biasAdd tensorflow protobuf node

    Generate a biasAdd tensorflow protobuf node

    value
    bias
    dataFormat
    name
    returns

  11. def clone(): AnyRef

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  12. def concat(inputs: Seq[NodeDef], axis: Int, name: String): NodeDef

  13. def const[T](value: Tensor[T], name: String, byteOrder: ByteOrder, isScalar: Boolean = false, dataType: DataType = null)(implicit arg0: ClassTag[T]): NodeDef

    Generate a const tensorflow protobuf node

    Generate a const tensorflow protobuf node

    value
    name
    returns

  14. def conv2D(input: NodeDef, filter: NodeDef, sW: Int, sH: Int, kW: Int, kH: Int, pW: Int, pH: Int, dataFormat: TensorflowDataFormat, name: String): NodeDef

  15. final def eq(arg0: AnyRef): Boolean

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  16. def equals(arg0: Any): Boolean

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  17. def finalize(): Unit

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  18. def floor(x: NodeDef, name: String): NodeDef

  19. final def getClass(): Class[_]

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  20. def hashCode(): Int

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  21. def identity(input: NodeDef, name: String): NodeDef

    Generate an identity tensorflow protobuf node

    Generate an identity tensorflow protobuf node

    input
    name
    returns

  22. final def isInstanceOf[T0]: Boolean

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  23. def logSoftmax(logits: NodeDef, name: String): NodeDef

  24. def matmul(a: NodeDef, b: NodeDef, name: String, transposeA: Boolean = false, transposeB: Boolean = false): NodeDef

    Generate a matmul tensorflow protobuf node

    Generate a matmul tensorflow protobuf node

    a
    b
    name
    transposeA
    transposeB
    returns

  25. def maxPool(value: NodeDef, kW: Int, kH: Int, pW: Int, pH: Int, sW: Int, sH: Int, dataFormat: TensorflowDataFormat, name: String): NodeDef

  26. def multiply(x: NodeDef, y: NodeDef, name: String): NodeDef

  27. final def ne(arg0: AnyRef): Boolean

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  28. final def notify(): Unit

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  29. final def notifyAll(): Unit

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  30. def pad(tensor: NodeDef, paddings: NodeDef, name: String): NodeDef

  31. 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

    returns

  32. def randomUniform(shape: NodeDef, name: String, dtype: DataType = DataType.DT_FLOAT, seed: Int = 0): NodeDef

  33. def realdiv(x: NodeDef, y: NodeDef, name: String): NodeDef

  34. def reduceMean(inputTensor: NodeDef, axis: NodeDef, keepDim: Boolean, name: String): NodeDef

  35. def relu(features: NodeDef, name: String): NodeDef

    Generate a relu tensorflow protobuf node

    Generate a relu tensorflow protobuf node

    features
    name
    returns

  36. def reshape(tensor: NodeDef, shape: NodeDef, name: String): NodeDef

  37. def rsqrt(x: NodeDef, name: String): NodeDef

  38. def shape(input: NodeDef, name: String, outType: DataType = DataType.DT_INT32): NodeDef

  39. def sigmoid(x: NodeDef, name: String): NodeDef

  40. def softmax(logits: NodeDef, name: String): NodeDef

  41. def squeeze(input: NodeDef, axis: Seq[Int], name: String): NodeDef

  42. def subtract(x: NodeDef, y: NodeDef, name: String): NodeDef

  43. final def synchronized[T0](arg0: ⇒ T0): T0

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  44. def tanh(input: NodeDef, name: String): NodeDef

  45. def toString(): String

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  46. final def wait(): Unit

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    @throws( ... )
  47. final def wait(arg0: Long, arg1: Int): Unit

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  48. final def wait(arg0: Long): Unit

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