Feature/tensors performance #497

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margarita0303 wants to merge 91 commits from feature/tensors-performance into feature/tensors-performance
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@ -123,27 +123,27 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> :
//For information: https://pytorch.org/docs/stable/generated/torch.floor.html#torch.floor //For information: https://pytorch.org/docs/stable/generated/torch.floor.html#torch.floor
public fun StructureND<T>.floor(): Tensor<T> public fun StructureND<T>.floor(): Tensor<T>
override fun sin(arg: StructureND<T>): Tensor<T> = arg.sin() override fun sin(arg: StructureND<T>): StructureND<T> = arg.sin()
override fun cos(arg: StructureND<T>): Tensor<T> = arg.cos() override fun cos(arg: StructureND<T>): StructureND<T> = arg.cos()
override fun asin(arg: StructureND<T>): Tensor<T> = arg.asin() override fun asin(arg: StructureND<T>): StructureND<T> = arg.asin()
override fun acos(arg: StructureND<T>): Tensor<T> = arg.acos() override fun acos(arg: StructureND<T>): StructureND<T> = arg.acos()
override fun atan(arg: StructureND<T>): Tensor<T> = arg.atan() override fun atan(arg: StructureND<T>): StructureND<T> = arg.atan()
override fun exp(arg: StructureND<T>): Tensor<T> = arg.exp() override fun exp(arg: StructureND<T>): StructureND<T> = arg.exp()
override fun ln(arg: StructureND<T>): Tensor<T> = arg.ln() override fun ln(arg: StructureND<T>): StructureND<T> = arg.ln()
override fun sinh(arg: StructureND<T>): Tensor<T> = arg.sinh() override fun sinh(arg: StructureND<T>): StructureND<T> = arg.sinh()
override fun cosh(arg: StructureND<T>): Tensor<T> = arg.cosh() override fun cosh(arg: StructureND<T>): StructureND<T> = arg.cosh()
override fun asinh(arg: StructureND<T>): Tensor<T> = arg.asinh() override fun asinh(arg: StructureND<T>): StructureND<T> = arg.asinh()
override fun acosh(arg: StructureND<T>): Tensor<T> = arg.acosh() override fun acosh(arg: StructureND<T>): StructureND<T> = arg.acosh()
override fun atanh(arg: StructureND<T>): Tensor<T> = arg.atanh() override fun atanh(arg: StructureND<T>): StructureND<T> = arg.atanh()
} }