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[API Proposal]: Tensor Dimensions Refining #113863

Description

@michaelgsharp

Background and motivation

This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

Copied from the original issue:
We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

API Proposal

namespace System.Numerics.Tensors;
- public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
// Renamed from DimensionCollection to TensorDimensionView for clarity
// Also has been moved out of being a nested class so that it can be shared between all Tensor types.
+ public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
// This is what is replace SliceAlongDimension
+ public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
// This will always just throw but needs to be here.
+ object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
// This is what is replacing SliceAlongDimensions
+ public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
// This will always just throw but needs to be here.
+ object? IEnumerator.Current { get; }+ #endif+ }+ }
public sealed class Tensor<T>
: ITensor<Tensor<T>, T>
{
+ public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
}
public readonly ref struct ReadOnlyTensorSpan<T>
{
+ public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
}
public ref struct TensorSpan<T>
{
+ public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
}

API Usage

// Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
tensor.GetDimension(0).GetSlice(1)

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    [API Proposal]: Tensor Dimensions Refining · Issue #113863 · dotnet/runtime · GitHub
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    [API Proposal]: Tensor Dimensions Refining #113863

    Description

    @michaelgsharp

    Background and motivation

    This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

    Copied from the original issue:
    We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

    API Proposal

    namespace System.Numerics.Tensors;
    - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
    // Renamed from DimensionCollection to TensorDimensionView for clarity
    // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
    + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
    // This is what is replace SliceAlongDimension
    + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
    // This will always just throw but needs to be here.
    + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
    // This is what is replacing SliceAlongDimensions
    + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
    // This will always just throw but needs to be here.
    + object? IEnumerator.Current { get; }+ #endif+ }+ }
    public sealed class Tensor<T>
    : ITensor<Tensor<T>, T>
    {
    + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
    }
    public readonly ref struct ReadOnlyTensorSpan<T>
    {
    + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
    }
    public ref struct TensorSpan<T>
    {
    + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
    }

    API Usage

    // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
    tensor.GetDimension(0).GetSlice(1)

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      Skip to content

      [API Proposal]: Tensor Dimensions Refining #113863

      Description

      @michaelgsharp

      Background and motivation

      This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

      Copied from the original issue:
      We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

      API Proposal

      namespace System.Numerics.Tensors;
      - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
      // Renamed from DimensionCollection to TensorDimensionView for clarity
      // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
      + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
      // This is what is replace SliceAlongDimension
      + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
      // This will always just throw but needs to be here.
      + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
      // This is what is replacing SliceAlongDimensions
      + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
      // This will always just throw but needs to be here.
      + object? IEnumerator.Current { get; }+ #endif+ }+ }
      public sealed class Tensor<T>
      : ITensor<Tensor<T>, T>
      {
      + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
      }
      public readonly ref struct ReadOnlyTensorSpan<T>
      {
      + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
      }
      public ref struct TensorSpan<T>
      {
      + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
      }

      API Usage

      // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
      tensor.GetDimension(0).GetSlice(1)

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        Skip to content

        [API Proposal]: Tensor Dimensions Refining #113863

        Description

        @michaelgsharp

        Background and motivation

        This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

        Copied from the original issue:
        We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

        API Proposal

        namespace System.Numerics.Tensors;
        - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
        // Renamed from DimensionCollection to TensorDimensionView for clarity
        // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
        + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
        // This is what is replace SliceAlongDimension
        + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
        // This will always just throw but needs to be here.
        + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
        // This is what is replacing SliceAlongDimensions
        + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
        // This will always just throw but needs to be here.
        + object? IEnumerator.Current { get; }+ #endif+ }+ }
        public sealed class Tensor<T>
        : ITensor<Tensor<T>, T>
        {
        + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
        }
        public readonly ref struct ReadOnlyTensorSpan<T>
        {
        + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
        }
        public ref struct TensorSpan<T>
        {
        + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
        }

        API Usage

        // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
        tensor.GetDimension(0).GetSlice(1)

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' [API Proposal]: Tensor Dimensions Refining · Issue #113863 · dotnet/runtime · GitHub
          Skip to content

          [API Proposal]: Tensor Dimensions Refining #113863

          Description

          @michaelgsharp

          Background and motivation

          This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

          Copied from the original issue:
          We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

          API Proposal

          namespace System.Numerics.Tensors;
          - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
          // Renamed from DimensionCollection to TensorDimensionView for clarity
          // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
          + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
          // This is what is replace SliceAlongDimension
          + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
          // This will always just throw but needs to be here.
          + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
          // This is what is replacing SliceAlongDimensions
          + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
          // This will always just throw but needs to be here.
          + object? IEnumerator.Current { get; }+ #endif+ }+ }
          public sealed class Tensor<T>
          : ITensor<Tensor<T>, T>
          {
          + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
          }
          public readonly ref struct ReadOnlyTensorSpan<T>
          {
          + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
          }
          public ref struct TensorSpan<T>
          {
          + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
          }

          API Usage

          // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
          tensor.GetDimension(0).GetSlice(1)

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          Low risk because it's a preview type and its all new features.

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            , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [API Proposal]: Tensor Dimensions Refining · Issue #113863 · dotnet/runtime · GitHub
            Skip to content

            [API Proposal]: Tensor Dimensions Refining #113863

            Description

            @michaelgsharp

            Background and motivation

            This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

            Copied from the original issue:
            We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

            API Proposal

            namespace System.Numerics.Tensors;
            - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
            // Renamed from DimensionCollection to TensorDimensionView for clarity
            // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
            + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
            // This is what is replace SliceAlongDimension
            + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
            // This will always just throw but needs to be here.
            + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
            // This is what is replacing SliceAlongDimensions
            + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
            // This will always just throw but needs to be here.
            + object? IEnumerator.Current { get; }+ #endif+ }+ }
            public sealed class Tensor<T>
            : ITensor<Tensor<T>, T>
            {
            + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
            }
            public readonly ref struct ReadOnlyTensorSpan<T>
            {
            + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
            }
            public ref struct TensorSpan<T>
            {
            + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
            }

            API Usage

            // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
            tensor.GetDimension(0).GetSlice(1)

            Alternative Designs

            No response

            Risks

            Low risk because it's a preview type and its all new features.

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              , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [API Proposal]: Tensor Dimensions Refining · Issue #113863 · dotnet/runtime · GitHub
              Skip to content

              [API Proposal]: Tensor Dimensions Refining #113863

              Description

              @michaelgsharp

              Background and motivation

              This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

              Copied from the original issue:
              We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

              API Proposal

              namespace System.Numerics.Tensors;
              - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
              // Renamed from DimensionCollection to TensorDimensionView for clarity
              // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
              + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
              // This is what is replace SliceAlongDimension
              + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
              // This will always just throw but needs to be here.
              + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
              // This is what is replacing SliceAlongDimensions
              + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
              // This will always just throw but needs to be here.
              + object? IEnumerator.Current { get; }+ #endif+ }+ }
              public sealed class Tensor<T>
              : ITensor<Tensor<T>, T>
              {
              + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
              }
              public readonly ref struct ReadOnlyTensorSpan<T>
              {
              + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
              }
              public ref struct TensorSpan<T>
              {
              + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
              }

              API Usage

              // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
              tensor.GetDimension(0).GetSlice(1)

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                [API Proposal]: Tensor Dimensions Refining #113863

                Description

                @michaelgsharp

                Background and motivation

                This is a refinement of #113068, which was approved a few weeks ago. During the API review process we had several things brought up around clarity/ease of use. In the end, the proposal was approved, but after various discussions between @tannergooding and myself we decided to refine it to resolve the issues that were brought up.

                Copied from the original issue:
                We have exposed lots of functions we can use with Tensor. These currently all operate on the entire backing memory of the Tensor. The problem with this is that many times you want to do the operation on whole dimensions, rather than the whole data, and we have no easy way of providing this currently. For a very simple example say your Tensor is 2d, think of it like an Excel table. In Excel we can sum the whole table, but we can also sum each row, for example. This is the functionality we need to add to Tensor.

                API Proposal

                namespace System.Numerics.Tensors;
                - public interface IReadOnlyTensor<TSelf, T> : IEnumerable<T>- where TSelf : IReadOnlyTensor<TSelf, T>- {- // This is being moved to the Tensor itself and renamed for clarity.- //used to easily get a sub dimension of a tensor. Like all the Rows of a tensor for example.- TSelf SliceAlongDimension(int dimension, nint index);- }
                // Renamed from DimensionCollection to TensorDimensionView for clarity
                // Also has been moved out of being a nested class so that it can be shared between all Tensor types.
                + public readonly ref struct TensorDimensionView<T>+ {+ internal TensorDimensionView(TensorSpan<T> tensor, int dimension);+ public nint Count { get; }
                // This is what is replace SliceAlongDimension
                + public TensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<TensorSpan<T>>+ #endif+ {+ internal Enumerator(TensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public TensorSpan<T> Current;+ #if NET9_0_OR_GREATER
                // This will always just throw but needs to be here.
                + object? IEnumerator.Current { get; }+ #endif+ }+ }+ public readonly ref struct ReadOnlyTensorDimensionView<T>+ {+ internal ReadOnlyTensorDimensionView(ReadOnlyTensorSpan<T> tensor, int dimension);+ public nint Count { get; }
                // This is what is replacing SliceAlongDimensions
                + public ReadOnlyTensorSpan<T> GetSlice(int index);+ public Enumerator GetEnumerator();+ public ref struct Enumerator+ #if NET9_0_OR_GREATER+ : IEnumerator<ReadOnlyTensorSpan<T>>+ #endif+ {+ internal Enumerator(ReadOnlyTensorSpan<T> tensor, int dimension);+ public bool MoveNext();+ public void Reset();+ public void Dispose();+ public ReadOnlyTensorSpan<T> Current;+ #if NET9_0_OR_GREATER
                // This will always just throw but needs to be here.
                + object? IEnumerator.Current { get; }+ #endif+ }+ }
                public sealed class Tensor<T>
                : ITensor<Tensor<T>, T>
                {
                + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public sealed class DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public void Reset();- public void Dispose();- Tensor<T> IEnumerator<Tensor<T>>.Current;- object? IEnumerator.Current;- } - }
                }
                public readonly ref struct ReadOnlyTensorSpan<T>
                {
                + public ReadOnlyTensorDimensionView<T> GetDimension(int dimension) => new ReadOnlyTensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref readonly ReadOnlyTensorSpan<T> Current;- } - }
                }
                public ref struct TensorSpan<T>
                {
                + public TensorDimensionView<T> GetDimension(int dimension) => new TensorDimensionView<T>(this, dimension);- public DimensionCollection Dimensions {get;}- public ref struct DimensionCollection- : System.Collections.Generic.ICollection<Tensor<T>>,- System.Collections.Generic.IEnumerable<Tensor<T>>,- System.Collections.Generic.IReadOnlyCollection<Tensor<T>>,- System.Collections.ICollection- {- public int Count {get;}- public void CopyTo(Tensor<T>[] array , int index)- public Enumerator GetEnumerator();- //All else explicitly implemented and match what Dictionary does - public ref struct Enumerator : IEnumerator<Tensor<T>>- {- internal Enumerator(Tensor<T> tensor, int dimension);- public bool MoveNext();- public ref TensorSpan<T> Current;- } - } 
                }

                API Usage

                // Create a 2 x 2 x 2 tensor with 8 elementsTensortensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,2,2]);// Loop through the tensor in dimension 0. This will give us a 2 x 2 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 2 x 2 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a 2 tensor 4 times.foreach(varsliceintensor.GetDimension(1)){// do stuff with the 2 slice// The first tensor will be [1, 2], then [ 3, 4], then [5, 6], and last is [7, 8]}// Loop through the tensor in dimension 2. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(2)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Loop through the tensor in dimension 0. This will give us a 4 tensor 2 times.foreach(varsliceintensor.GetDimension(0)){// do stuff with the 4 slice// The first tensor will be [1, 2, 3, 4] and the second will be [5, 6, 7, 8]}// Loop through the tensor in dimension 1. This will give us a tensor with a single element 8 times.foreach(varsliceintensor.GetDimension(1)){// Do stuff with the single element tensor// Values will be a Tensor with values 1, 2, 3, 4, 5, 6, 7, 8}// Since we moved SliceAlongDimension this is what it would like like now.// Create a 2 x 4 tensor with 8 elementstensor=Tensor.Create<int>([1,2,3,4,5,6,7,8],[2,4]);// Returns a 4 tensor of values [1, 2, 3, 4]tensor.GetDimension(0).GetSlice(0)// Returns a 4 tensor of values [5, 6, 7, 8]
                tensor.GetDimension(0).GetSlice(1)

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