Class StatsOps

Inheritance
Object
StatsOps
Namespace: Barracuda
Syntax
public class StatsOps : IOps

Constructors

StatsOps(IOps)

Declaration
public StatsOps(IOps ops)
Parameters
Type Name Description
IOps ops

Methods

Elementwise(Tensor, Int64)

Declaration
protected void Elementwise(Tensor X, long aluOperationsPerElement = 1L)
Parameters
Type Name Description
Tensor X
Int64 aluOperationsPerElement

ElementwiseBroadcast(Tensor[], Tensor, Int64)

Declaration
protected void ElementwiseBroadcast(Tensor[] tensors, Tensor X, long aluOperationsPerElement = 1L)
Parameters
Type Name Description
Tensor[] tensors
Tensor X
Int64 aluOperationsPerElement

Reduce(Tensor, Tensor, Int64)

Declaration
protected void Reduce(Tensor X, Tensor O, long aluOperationsPerElement = 1L)
Parameters
Type Name Description
Tensor X
Tensor O
Int64 aluOperationsPerElement

ToString()

Declaration
public override string ToString()
Returns
Type Description
String
Overrides

WaitForCompletion(Tensor)

Declaration
public virtual void WaitForCompletion(Tensor x)
Parameters
Type Name Description
Tensor x
Implements

Explicit Interface Implementations

IOps.Abs(Tensor)

Declaration
Tensor IOps.Abs(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Add(Tensor[])

Declaration
Tensor IOps.Add(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.AvgPool2D(Tensor, Int32[], Int32[], Int32[])

Declaration
Tensor IOps.AvgPool2D(Tensor X, int[] pool, int[] stride, int[] pad)
Parameters
Type Name Description
Tensor X
Int32[] pool
Int32[] stride
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Border2D(Tensor, Int32[], Single)

Declaration
Tensor IOps.Border2D(Tensor X, int[] pad, float value)
Parameters
Type Name Description
Tensor X
Int32[] pad
Single value
Returns
Type Description
Tensor
Implements

IOps.Ceil(Tensor)

Declaration
Tensor IOps.Ceil(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Clip(Tensor, Single, Single)

Declaration
Tensor IOps.Clip(Tensor X, float min, float max)
Parameters
Type Name Description
Tensor X
Single min
Single max
Returns
Type Description
Tensor
Implements

IOps.Concat(Tensor[], Int32)

Declaration
Tensor IOps.Concat(Tensor[] tensors, int axis)
Parameters
Type Name Description
Tensor[] tensors
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.Conv2D(Tensor, Tensor, Tensor, Int32[], Int32[])

Declaration
Tensor IOps.Conv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Conv2DTrans(Tensor, Tensor, Tensor, Int32[], Int32[], Int32[])

Declaration
Tensor IOps.Conv2DTrans(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, int[] outputAdjustment)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Int32[] outputAdjustment
Returns
Type Description
Tensor
Implements

IOps.Copy(Tensor)

Declaration
Tensor IOps.Copy(Tensor x)
Parameters
Type Name Description
Tensor x
Returns
Type Description
Tensor
Implements

IOps.Dense(Tensor, Tensor, Tensor)

Declaration
Tensor IOps.Dense(Tensor X, Tensor W, Tensor B)
Parameters
Type Name Description
Tensor X
Tensor W
Tensor B
Returns
Type Description
Tensor
Implements

IOps.DepthwiseConv2D(Tensor, Tensor, Tensor, Int32[], Int32[])

Declaration
Tensor IOps.DepthwiseConv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Div(Tensor[])

Declaration
Tensor IOps.Div(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.Dropout(Tensor, Single)

Declaration
Tensor IOps.Dropout(Tensor X, float alpha)
Parameters
Type Name Description
Tensor X
Single alpha
Returns
Type Description
Tensor
Implements

IOps.Elu(Tensor, Single)

Declaration
Tensor IOps.Elu(Tensor X, float alpha)
Parameters
Type Name Description
Tensor X
Single alpha
Returns
Type Description
Tensor
Implements

IOps.Equal(Tensor, Tensor)

Declaration
Tensor IOps.Equal(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.Exp(Tensor)

Declaration
Tensor IOps.Exp(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Flatten(Tensor)

Declaration
Tensor IOps.Flatten(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Floor(Tensor)

Declaration
Tensor IOps.Floor(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Gather(Tensor[], Int32)

Declaration
Tensor IOps.Gather(Tensor[] tensors, int axis)
Parameters
Type Name Description
Tensor[] tensors
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.GlobalAvgPool2D(Tensor)

Declaration
Tensor IOps.GlobalAvgPool2D(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.GlobalAvgVariancePool2D(Tensor)

Declaration
Tensor IOps.GlobalAvgVariancePool2D(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.GlobalMaxPool2D(Tensor)

Declaration
Tensor IOps.GlobalMaxPool2D(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Greater(Tensor, Tensor)

Declaration
Tensor IOps.Greater(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.GreaterEqual(Tensor, Tensor)

Declaration
Tensor IOps.GreaterEqual(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.LeakyRelu(Tensor, Single)

Declaration
Tensor IOps.LeakyRelu(Tensor X, float alpha)
Parameters
Type Name Description
Tensor X
Single alpha
Returns
Type Description
Tensor
Implements

IOps.Less(Tensor, Tensor)

Declaration
Tensor IOps.Less(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.LessEqual(Tensor, Tensor)

Declaration
Tensor IOps.LessEqual(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.Log(Tensor)

Declaration
Tensor IOps.Log(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.LogicalAnd(Tensor, Tensor)

Declaration
Tensor IOps.LogicalAnd(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.LogicalNot(Tensor)

Declaration
Tensor IOps.LogicalNot(Tensor x)
Parameters
Type Name Description
Tensor x
Returns
Type Description
Tensor
Implements

IOps.LogicalOr(Tensor, Tensor)

Declaration
Tensor IOps.LogicalOr(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.LogicalXor(Tensor, Tensor)

Declaration
Tensor IOps.LogicalXor(Tensor a, Tensor b)
Parameters
Type Name Description
Tensor a
Tensor b
Returns
Type Description
Tensor
Implements

IOps.LogSoftmax(Tensor)

Declaration
Tensor IOps.LogSoftmax(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.LRN(Tensor, Single, Single, Single, Int32)

Declaration
Tensor IOps.LRN(Tensor X, float alpha, float beta, float bias, int size)
Parameters
Type Name Description
Tensor X
Single alpha
Single beta
Single bias
Int32 size
Returns
Type Description
Tensor
Implements

IOps.MatMul(Tensor, Boolean, Tensor, Boolean)

Declaration
Tensor IOps.MatMul(Tensor X, bool xTranspose, Tensor Y, bool yTranspose)
Parameters
Type Name Description
Tensor X
Boolean xTranspose
Tensor Y
Boolean yTranspose
Returns
Type Description
Tensor
Implements

IOps.Max(Tensor[])

Declaration
Tensor IOps.Max(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.MaxPool2D(Tensor, Int32[], Int32[], Int32[])

Declaration
Tensor IOps.MaxPool2D(Tensor X, int[] pool, int[] stride, int[] pad)
Parameters
Type Name Description
Tensor X
Int32[] pool
Int32[] stride
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Mean(Tensor[])

Declaration
Tensor IOps.Mean(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.Min(Tensor[])

Declaration
Tensor IOps.Min(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.Mul(Tensor[])

Declaration
Tensor IOps.Mul(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.Multinomial(Tensor, Int32, Int32)

Declaration
Tensor IOps.Multinomial(Tensor X, int count, int seed)
Parameters
Type Name Description
Tensor X
Int32 count
Int32 seed
Returns
Type Description
Tensor
Implements

IOps.Neg(Tensor)

Declaration
Tensor IOps.Neg(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Normalization(Tensor, Tensor, Tensor, Int32, Int32, Single)

Declaration
Tensor IOps.Normalization(Tensor X, Tensor S, Tensor B, int pool, int axis, float epsilon)
Parameters
Type Name Description
Tensor X
Tensor S
Tensor B
Int32 pool
Int32 axis
Single epsilon
Returns
Type Description
Tensor
Implements

IOps.OneHot(Tensor, Int32, Single, Single)

Declaration
Tensor IOps.OneHot(Tensor X, int depth, float onValue, float offValue)
Parameters
Type Name Description
Tensor X
Int32 depth
Single onValue
Single offValue
Returns
Type Description
Tensor
Implements

IOps.Pad2DEdge(Tensor, Int32[])

Declaration
Tensor IOps.Pad2DEdge(Tensor X, int[] pad)
Parameters
Type Name Description
Tensor X
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Pad2DReflect(Tensor, Int32[])

Declaration
Tensor IOps.Pad2DReflect(Tensor X, int[] pad)
Parameters
Type Name Description
Tensor X
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Pad2DSymmetric(Tensor, Int32[])

Declaration
Tensor IOps.Pad2DSymmetric(Tensor X, int[] pad)
Parameters
Type Name Description
Tensor X
Int32[] pad
Returns
Type Description
Tensor
Implements

IOps.Pow(Tensor, Single)

Declaration
Tensor IOps.Pow(Tensor X, float alpha)
Parameters
Type Name Description
Tensor X
Single alpha
Returns
Type Description
Tensor
Implements

IOps.Pow(Tensor[])

Declaration
Tensor IOps.Pow(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.PRelu(Tensor, Tensor)

Declaration
Tensor IOps.PRelu(Tensor X, Tensor S)
Parameters
Type Name Description
Tensor X
Tensor S
Returns
Type Description
Tensor
Implements

IOps.Prepare(Tensor)

Declaration
Tensor IOps.Prepare(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.RandomNormal(TensorShape, Single, Single, Int32)

Declaration
Tensor IOps.RandomNormal(TensorShape s, float mean, float scale, int seed)
Parameters
Type Name Description
TensorShape s
Single mean
Single scale
Int32 seed
Returns
Type Description
Tensor
Implements

IOps.RandomUniform(TensorShape, Single, Single, Int32)

Declaration
Tensor IOps.RandomUniform(TensorShape s, float mean, float scale, int seed)
Parameters
Type Name Description
TensorShape s
Single mean
Single scale
Int32 seed
Returns
Type Description
Tensor
Implements

IOps.Reciprocal(Tensor)

Declaration
Tensor IOps.Reciprocal(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.ReduceMax(Tensor, Int32)

Declaration
Tensor IOps.ReduceMax(Tensor X, int axis)
Parameters
Type Name Description
Tensor X
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.ReduceMean(Tensor, Int32)

Declaration
Tensor IOps.ReduceMean(Tensor X, int axis)
Parameters
Type Name Description
Tensor X
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.ReduceMin(Tensor, Int32)

Declaration
Tensor IOps.ReduceMin(Tensor X, int axis)
Parameters
Type Name Description
Tensor X
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.ReduceProd(Tensor, Int32)

Declaration
Tensor IOps.ReduceProd(Tensor X, int axis)
Parameters
Type Name Description
Tensor X
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.ReduceSum(Tensor, Int32)

Declaration
Tensor IOps.ReduceSum(Tensor X, int axis)
Parameters
Type Name Description
Tensor X
Int32 axis
Returns
Type Description
Tensor
Implements

IOps.Relu(Tensor)

Declaration
Tensor IOps.Relu(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Relu6(Tensor)

Declaration
Tensor IOps.Relu6(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.ResetAllocator(Boolean)

Declaration
void IOps.ResetAllocator(bool keepCachedMemory)
Parameters
Type Name Description
Boolean keepCachedMemory
Implements

IOps.Reshape(Tensor, TensorShape)

Declaration
Tensor IOps.Reshape(Tensor X, TensorShape shape)
Parameters
Type Name Description
Tensor X
TensorShape shape
Returns
Type Description
Tensor
Implements

IOps.ScaleBias(Tensor, Tensor, Tensor)

Declaration
Tensor IOps.ScaleBias(Tensor X, Tensor S, Tensor B)
Parameters
Type Name Description
Tensor X
Tensor S
Tensor B
Returns
Type Description
Tensor
Implements

IOps.Selu(Tensor, Single, Single)

Declaration
Tensor IOps.Selu(Tensor X, float alpha, float gamma)
Parameters
Type Name Description
Tensor X
Single alpha
Single gamma
Returns
Type Description
Tensor
Implements

IOps.Sigmoid(Tensor)

Declaration
Tensor IOps.Sigmoid(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Softmax(Tensor)

Declaration
Tensor IOps.Softmax(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Sqrt(Tensor)

Declaration
Tensor IOps.Sqrt(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.StridedSlice(Tensor, Int32[], Int32[], Int32[])

Declaration
Tensor IOps.StridedSlice(Tensor X, int[] starts, int[] ends, int[] strides)
Parameters
Type Name Description
Tensor X
Int32[] starts
Int32[] ends
Int32[] strides
Returns
Type Description
Tensor
Implements

IOps.Sub(Tensor[])

Declaration
Tensor IOps.Sub(Tensor[] tensors)
Parameters
Type Name Description
Tensor[] tensors
Returns
Type Description
Tensor
Implements

IOps.Swish(Tensor)

Declaration
Tensor IOps.Swish(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Tanh(Tensor)

Declaration
Tensor IOps.Tanh(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Tile(Tensor, Int32[])

Declaration
Tensor IOps.Tile(Tensor X, int[] repeats)
Parameters
Type Name Description
Tensor X
Int32[] repeats
Returns
Type Description
Tensor
Implements

IOps.Transpose(Tensor)

Declaration
Tensor IOps.Transpose(Tensor X)
Parameters
Type Name Description
Tensor X
Returns
Type Description
Tensor
Implements

IOps.Upsample2D(Tensor, Int32[])

Declaration
Tensor IOps.Upsample2D(Tensor X, int[] size)
Parameters
Type Name Description
Tensor X
Int32[] size
Returns
Type Description
Tensor
Implements