Class CompareOps

Inheritance
Object
CompareOps
Inherited Members
Namespace: Unity.Barracuda
Syntax
public class CompareOps : IOps, IModelCompiler

Constructors

CompareOps(IOps, IOps, CompareOpsUtils.LogLevel, Single)

Declaration
public CompareOps(IOps ops1, IOps ops2, CompareOpsUtils.LogLevel differenceLogLevel, float epsilon)
Parameters
Type Name Description
IOps ops1
IOps ops2
CompareOpsUtils.LogLevel differenceLogLevel
Single epsilon

Methods

PreExecuteLayer(Layer, Tensor[])

Declaration
public virtual void PreExecuteLayer(Layer layer, Tensor[] inputs)
Parameters
Type Name Description
Layer layer
Tensor[] inputs

PrepareModel(Model, IDictionary<String, TensorShape>)

Declaration
public virtual void PrepareModel(Model model, IDictionary<string, TensorShape> inputShapes)
Parameters
Type Name Description
Model model
IDictionary<String, TensorShape> inputShapes

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[], Layer.FusedActivation)

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

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

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

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

IOps.DepthToSpace(Tensor, Int32[], Layer.DepthToSpaceMode)

Declaration
Tensor IOps.DepthToSpace(Tensor X, int[] scale, Layer.DepthToSpaceMode mode)
Parameters
Type Name Description
Tensor X
Int32[] scale
Layer.DepthToSpaceMode mode
Returns
Type Description
Tensor
Implements

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

Declaration
Tensor IOps.DepthwiseConv2D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)
Parameters
Type Name Description
Tensor X
Tensor K
Tensor B
Int32[] stride
Int32[] pad
Layer.FusedActivation fusedActivation
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.Expand(Tensor, TensorShape)

Declaration
Tensor IOps.Expand(Tensor X, TensorShape shape)
Parameters
Type Name Description
Tensor X
TensorShape shape
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 W, bool wTranspose)
Parameters
Type Name Description
Tensor X
Boolean xTranspose
Tensor W
Boolean wTranspose
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, Layer.FusedActivation)

Declaration
Tensor IOps.Normalization(Tensor X, Tensor S, Tensor B, int pool, int axis, float epsilon, Layer.FusedActivation fusedActivation)
Parameters
Type Name Description
Tensor X
Tensor S
Tensor B
Int32 pool
Int32 axis
Single epsilon
Layer.FusedActivation fusedActivation
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.Resample2D(Tensor, Int32[], Boolean)

Declaration
Tensor IOps.Resample2D(Tensor X, int[] size, bool bilinear)
Parameters
Type Name Description
Tensor X
Int32[] size
Boolean bilinear
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.SpaceToDepth(Tensor, Int32[])

Declaration
Tensor IOps.SpaceToDepth(Tensor X, int[] scale)
Parameters
Type Name Description
Tensor X
Int32[] scale
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[], Boolean)

Declaration
Tensor IOps.Upsample2D(Tensor X, int[] scale, bool bilinear)
Parameters
Type Name Description
Tensor X
Int32[] scale
Boolean bilinear
Returns
Type Description
Tensor
Implements