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<#@ template debug="false" hostspecific="false" language="C#" #>
<#@ assembly name="System.Core" #>
<#@ output extension=".cs" #>
<#@ include file="TensorTemplate.ttinclude" #>// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
// This file is copied and adapted from the following git repository -
// https://github.com/dotnet/corefx
// Commit ID: bdd0814360d4c3a58860919f292a306242f27da1
// Path: /src/System.Numerics.Tensors/tests/TensorOperations.cs
// Original license statement below -
// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.
using System;
namespace Microsoft.ML.OnnxRuntime.Tensors
{
public static partial class TensorOperations
{
internal static void ValidateBinaryArgs<T>(Tensor<T> left, Tensor<T> right)
{
if (left.Rank != right.Rank || left.Length != right.Length)
{
throw new ArgumentException("Operands must have matching dimensions", nameof(right));
}
if (left.Rank == 0)
{
throw new ArgumentException($"Cannot operate on Tensor with {nameof(Tensor<T>.Rank)} of 0.", nameof(left));
}
for (int i = 0; i < left.Rank; i++)
{
if (left.dimensions[i] != right.dimensions[i])
{
throw new ArgumentException("Operands must have matching dimensions", nameof(right));
}
}
}
internal static void ValidateBinaryArgs<T>(Tensor<T> left, Tensor<T> right, Tensor<T> result)
{
if (left.Rank != right.Rank || left.Length != right.Length)
{
throw new ArgumentException("Operands must have matching dimensions", nameof(right));
}
if (left.Rank != result.Rank || left.Length != result.Length)
{
throw new ArgumentException("Operands must have matching dimensions", nameof(result));
}
if (left.Rank == 0)
{
throw new ArgumentException($"Cannot operate on Tensor with {nameof(Tensor<T>.Rank)} of 0.", nameof(left));
}
for (int i = 0; i < result.Rank; i++)
{
if (left.dimensions[i] != right.dimensions[i])
{
throw new ArgumentException("Operands must have matching dimensions", nameof(right));
}
if (left.dimensions[i] != result.dimensions[i])
{
throw new ArgumentException("Operands and result must have matching dimensions", nameof(result));
}
}
}
internal static void ValidateBinaryArgs<T>(Tensor<T> left, Tensor<T> right, Tensor<bool> result)
{
if (left.Rank != right.Rank || left.Length != right.Length)
{
throw new ArgumentException("Operands must have matching dimensions", nameof(right));
}
if (left.Rank != result.Rank || left.Length != result.Length)
{
throw new ArgumentException("Operands must have matching dimensions", nameof(result));
}
if (left.Rank == 0)
{
throw new ArgumentException($"Cannot operate on Tensor with {nameof(Tensor<T>.Rank)} of 0.", nameof(left));
}
for (int i = 0; i < result.Rank; i++)
{
if (left.dimensions[i] != right.dimensions[i])
{
throw new ArgumentException("Operands must have matching dimensions", nameof(right));
}
if (left.dimensions[i] != result.dimensions[i])
{
throw new ArgumentException("Operands and result must have matching dimensions", nameof(result));
}
}
}
internal static void ValidateArgs<T>(Tensor<T> tensor)
{
if (tensor.Rank == 0)
{
throw new ArgumentException($"Cannot operate on Tensor with {nameof(Tensor<T>.Rank)} of 0.", nameof(tensor));
}
}
internal static void ValidateArgs<T>(Tensor<T> tensor, Tensor<T> result)
{
if (tensor.Rank != result.Rank || tensor.Length != result.Length)
{
throw new ArgumentException("Operands and result must have matching dimensions", nameof(result));
}
if (tensor.Rank == 0)
{
throw new ArgumentException($"Cannot operate on Tensor with {nameof(Tensor<T>.Rank)} of 0.", nameof(tensor));
}
for (int i = 0; i < result.Rank; i++)
{
if (tensor.dimensions[i] != result.dimensions[i])
{
throw new ArgumentException("Operands and result must have matching dimensions", nameof(result));
}
}
}
internal static int[] ValidateContractArgs<T>(Tensor<T> left, Tensor<T> right, int[] leftAxes, int[] rightAxes)
{
if (leftAxes == null)
{
throw new ArgumentNullException(nameof(left));
}
if (rightAxes == null)
{
throw new ArgumentNullException(nameof(left));
}
if (leftAxes.Length != rightAxes.Length)
{
throw new ArgumentException($"{nameof(leftAxes)} and {nameof(rightAxes)} must have the same length, but were {leftAxes.Length} and {rightAxes.Length}, respectively.");
}
for (int i = 0; i < leftAxes.Length; i++)
{
var leftAxis = leftAxes[i];
if (leftAxis >= left.Rank)
{
throw new ArgumentOutOfRangeException($"{nameof(leftAxes)}[{i}] was set to axis index {leftAxis} which exceeds the Rank of {left}.");
}
var leftDimension = left.dimensions[leftAxis];
var rightAxis = rightAxes[i];
if (rightAxis >= right.Rank)
{
throw new ArgumentOutOfRangeException($"{nameof(rightAxes)}[{i}] was set to axis index {rightAxis} which exceeds the Rank of {right}.");
}
var rightDimension = right.dimensions[rightAxis];
if (leftDimension != rightDimension)
{
throw new ArgumentOutOfRangeException($"Tensors may only be contracted on axes of the same length, but {nameof(leftAxes)} index {i} was length {leftDimension} and {nameof(rightAxes)} index {i} was length {rightDimension}.");
}
}
var leftNonSummingDimensions = left.Rank - leftAxes.Length;
var rightNonSummingDimensions = right.Rank - rightAxes.Length;
var resultDimensions = new int[leftNonSummingDimensions + rightNonSummingDimensions];
int dimensionsIndex = 0;
Action<Tensor<T>, int[]> fillDimensions = (tensor, axes) =>
{
for (int i = 0; i < tensor.Rank; i++)
{
var skip = false;
foreach (var contractionIndex in axes)
{
if (contractionIndex == i)
{
skip = true;
break;
}
}
if (!skip)
{
resultDimensions[dimensionsIndex++] = tensor.dimensions[i];
}
}
};
fillDimensions(left, leftAxes);
fillDimensions(right, rightAxes);
return resultDimensions;
}
internal static int[] ValidateContractArgs<T>(Tensor<T> left, Tensor<T> right, int[] leftAxes, int[] rightAxes, Tensor<T> result)
{
var expectedDimensions = ValidateContractArgs(left, right, leftAxes, rightAxes);
if (result.Rank != expectedDimensions.Length)
{
throw new ArgumentException($"{nameof(result)} should have {expectedDimensions.Length} dimensions but had {result.Rank}.");
}
for (int i = 0; i < expectedDimensions.Length; i++)
{
if (result.dimensions[i] != expectedDimensions[i])
{
throw new ArgumentException($"{nameof(result)} dimension {i} should be {expectedDimensions[i]} but was {result.dimensions[i]}.");
}
}
return expectedDimensions;
}
<# foreach (MethodConfiguration method in methodConfiguration) { #>
internal static <#= method.GetGenericResultMethodSignature("Tensor", "T")#>
{
<#= method.GetValidationMethod(true) #>
TensorArithmetic<T>.Instance.<#=method.MethodName#>(<#=method.GetCallArguments()#>, <#= method.ResultName #>);
}
internal static <#= method.GetGenericMethodSignature("Tensor", "T")#>
{
<#= method.GetValidationMethod(false) #>
var <#= method.ResultName #> = <#=method.InitializeResult("T")#>;
TensorArithmetic<T>.Instance.<#=method.MethodName#>(<#=method.GetCallArguments()#>, <#= method.ResultName #>);
return <#= method.ResultName #>;
}
<# } #>
}
}
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