From 4da6da11a2f0d8b6cbe8b5df3a80d7d793672da6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anta=CC=83o=20Almada?= Date: Thu, 21 Mar 2024 09:41:21 +0000 Subject: [PATCH] Fix NuGet README --- src/NetFabric.Numerics.Tensors/README.md | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/src/NetFabric.Numerics.Tensors/README.md b/src/NetFabric.Numerics.Tensors/README.md index 25a30fd..1e6c32a 100644 --- a/src/NetFabric.Numerics.Tensors/README.md +++ b/src/NetFabric.Numerics.Tensors/README.md @@ -8,8 +8,6 @@ Within the library, you'll find pre-defined operations such as `Sqrt()`, `Sin()` For custom operations, the library allows the definition of operators through interfaces like `IUnaryOperator`, `IBinaryOperator`, `ITernaryOperator`, or `IAggregationOperator`. These operators can be applied seamlessly using the `Apply()` or `Aggregate()` methods. -Documentation for this library is available at [NetFabric.Numerics.Tensors Documentation](https://netfabric.github.io/NetFabric.Numerics.Tensors/). - ## Usage The library includes methods tailored for operations involving one, two, or three `ReadOnlySpan`. Results are provided in a `Span`, with the condition that the destination `Span` must be of the same size or larger than the sources. Inplace operations are supported when the destination parameter matches any of the sources. @@ -49,12 +47,6 @@ var indexOfLessThan = IndexOfLessThan(values, 0); var indexOfLessThanOrEqual = IndexOfLessThanOrEqual(values, 0); ``` -Please consult the [documentation](https://netfabric.github.io/NetFabric.Numerics.Tensors/api/NetFabric.Numerics.TensorOperations.html) to get the complete list of pre-defined operations. - ## Custom Operations -While `NetFabric.Numerics.Tensors` provides various pre-defined operations, combining them might not be efficient. Custom operators can be implemented, allowing the definition of specific operations for each element of the source, while still benefiting from high-performance reusable iteration code. Please refer to the [documentation](https://netfabric.github.io/NetFabric.Numerics.Tensors/articles/Extending-the-library.html) for instructions on how to do it. - -## Benchmarks - -Please consult the [documentation](https://netfabric.github.io/NetFabric.Numerics.Tensors/articles/Benchmarks.html) to obtain benchmarking results. +While `NetFabric.Numerics.Tensors` provides various pre-defined operations, combining them might not be efficient. Custom operators can be implemented, allowing the definition of specific operations for each element of the source, while still benefiting from high-performance reusable iteration code.