altavir/diff #494
@ -6,11 +6,9 @@ import org.tensorflow.Operand
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import org.tensorflow.Output
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import org.tensorflow.Session
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import org.tensorflow.ndarray.NdArray
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import org.tensorflow.ndarray.index.Indices
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import org.tensorflow.op.Ops
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import org.tensorflow.op.core.Constant
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import org.tensorflow.op.core.Max
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import org.tensorflow.op.core.Min
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import org.tensorflow.op.core.Sum
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import org.tensorflow.op.core.*
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import org.tensorflow.types.TInt32
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import org.tensorflow.types.family.TNumber
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import org.tensorflow.types.family.TType
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@ -182,7 +180,7 @@ public abstract class TensorFlowAlgebra<T, TT : TNumber, A : Ring<T>> internal c
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override fun StructureND<T>.unaryMinus(): TensorFlowOutput<T, TT> = operate(ops.math::neg)
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override fun Tensor<T>.get(i: Int): Tensor<T> = operate {
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TODO("Not yet implemented")
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StridedSliceHelper.stridedSlice(ops.scope(), it, Indices.at(i.toLong()))
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}
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override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = operate {
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@ -210,7 +208,13 @@ public abstract class TensorFlowAlgebra<T, TT : TNumber, A : Ring<T>> internal c
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dim1: Int,
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dim2: Int,
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): TensorFlowOutput<T, TT> = diagonalEntries.operate {
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TODO("Not yet implemented")
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ops.linalg.matrixDiagV3(
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/* diagonal = */ it,
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/* k = */ ops.constant(offset),
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/* numRows = */ ops.constant(dim1),
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/* numCols = */ ops.constant(dim2),
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/* paddingValue = */ const(elementAlgebra.zero)
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)
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}
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override fun StructureND<T>.sum(): T = operate {
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@ -123,27 +123,27 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> :
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//For information: https://pytorch.org/docs/stable/generated/torch.floor.html#torch.floor
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public fun StructureND<T>.floor(): Tensor<T>
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override fun sin(arg: StructureND<T>): StructureND<T> = arg.sin()
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override fun sin(arg: StructureND<T>): Tensor<T> = arg.sin()
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override fun cos(arg: StructureND<T>): StructureND<T> = arg.cos()
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override fun cos(arg: StructureND<T>): Tensor<T> = arg.cos()
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override fun asin(arg: StructureND<T>): StructureND<T> = arg.asin()
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override fun asin(arg: StructureND<T>): Tensor<T> = arg.asin()
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override fun acos(arg: StructureND<T>): StructureND<T> = arg.acos()
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override fun acos(arg: StructureND<T>): Tensor<T> = arg.acos()
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override fun atan(arg: StructureND<T>): StructureND<T> = arg.atan()
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override fun atan(arg: StructureND<T>): Tensor<T> = arg.atan()
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override fun exp(arg: StructureND<T>): StructureND<T> = arg.exp()
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override fun exp(arg: StructureND<T>): Tensor<T> = arg.exp()
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override fun ln(arg: StructureND<T>): StructureND<T> = arg.ln()
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override fun ln(arg: StructureND<T>): Tensor<T> = arg.ln()
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override fun sinh(arg: StructureND<T>): StructureND<T> = arg.sinh()
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override fun sinh(arg: StructureND<T>): Tensor<T> = arg.sinh()
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override fun cosh(arg: StructureND<T>): StructureND<T> = arg.cosh()
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override fun cosh(arg: StructureND<T>): Tensor<T> = arg.cosh()
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override fun asinh(arg: StructureND<T>): StructureND<T> = arg.asinh()
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override fun asinh(arg: StructureND<T>): Tensor<T> = arg.asinh()
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override fun acosh(arg: StructureND<T>): StructureND<T> = arg.acosh()
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override fun acosh(arg: StructureND<T>): Tensor<T> = arg.acosh()
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override fun atanh(arg: StructureND<T>): StructureND<T> = arg.atanh()
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override fun atanh(arg: StructureND<T>): Tensor<T> = arg.atanh()
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}
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