docs: refresh v1.0 installation guides

exla/guides/rotating-image.livemd

@@ -6,7 +6,7 @@ Mix.install(
     {:nx, github: "elixir-nx/nx", override: true, sparse: "nx"},
     {:req, "~> 0.3.5"},
     {:kino, "~> 0.8.1"},
-    {:exla, "~> 0.9"},
+    {:exla, "~> 1.0"},
     {:stb_image, "~> 0.6"}
   ],
   config: [

exla/lib/exla.ex

@@ -28,7 +28,7 @@ defmodule EXLA do
   In a script/notebook, you would do:
 
       Mix.install([
-        {:exla, "~> 0.2"}
+        {:exla, "~> 1.0"}
       ])
 
       Nx.global_default_backend(EXLA.Backend)

nx/README.md

@@ -59,7 +59,7 @@ Then you can add `Nx` as dependency in your `mix.exs`:
 ```elixir
 def deps do
   [
-    {:nx, "~> 0.9"}
+    {:nx, "~> 1.0"}
   ]
 end
 ```
@@ -68,7 +68,7 @@ If you are using Livebook or IEx, you can instead run:
 
 ```elixir
 Mix.install([
-  {:nx, "~> 0.9"}
+  {:nx, "~> 1.0"}
 ])
 ```
 

nx/guides/advanced/aggregation.livemd

@@ -4,7 +4,7 @@
 
 ```elixir
 Mix.install([
-  {:nx, "~> 0.9"}
+  {:nx, "~> 1.0"}
 ])
 ```
 

nx/guides/getting_started/broadcasting.livemd

@@ -38,7 +38,7 @@ a tensor or a scalar and a shape.
 
 ```elixir
 Mix.install([
-  {:nx, "~> 0.9"}
+  {:nx, "~> 1.0"}
 ])
 
 

nx/guides/getting_started/installation.md

@@ -14,7 +14,7 @@ If you are working inside a Mix project, the recommended way to install Nx is by
 ```elixir
 defp deps do
   [
-    {:nx, "~> 0.9"}  # Install the latest stable version
+    {:nx, "~> 1.0"}  # Install the latest stable version
   ]
 end
 ```
@@ -98,8 +98,8 @@ To enable GPU/TPU acceleration with Google’s XLA backend, install Nx along wit
 ```elixir
 defp deps do
   [
-    {:nx, "~> 0.9"},
-    {:exla, "~> 0.9"}  # EXLA (Google XLA Backend)
+    {:nx, "~> 1.0"},
+    {:exla, "~> 1.0"}  # EXLA (Google XLA Backend)
   ]
 end
 ```
@@ -128,8 +128,8 @@ To run Nx operations on PyTorch’s backend (LibTorch):
 ```elixir
 defp deps do
   [
-    {:nx, "~> 0.9"},
-    {:torchx, "~> 0.9"}  # PyTorch Backend
+    {:nx, "~> 1.0"},
+    {:torchx, "~> 1.0"}  # PyTorch Backend
   ]
 end
 

nx/guides/getting_started/introduction.md

@@ -2,7 +2,7 @@
 
 Nx is a numerical computing library in Elixir. Since Elixir's primary numerical data types and structures are not optimized for numerical programming, Nx is the fundamental package built to bridge this gap.
 
-[Elixir Nx](https://github.com/elixir-nx/nx) smoothly integrates typed, multidimensional data called [tensors](introduction.html#what-are-tensors)).
+[Elixir Nx](https://github.com/elixir-nx/nx) smoothly integrates typed, multidimensional data called [tensors](introduction.html#what-are-tensors).
 Nx has four primary capabilities:
 
 - Tensors hold typed data in multiple, optionally named dimensions.
@@ -13,7 +13,7 @@ Nx has four primary capabilities:
   such as machine learning, simulations, curve fitting, and probabilistic models.
 - Broadcasting, which is a term for element-by-element operations. Most of the Nx operations
   make use of automatic implicit broadcasting. You can see more on broadcasting
-  [here.](intro-to-nx.html#broadcasts)
+  [here.](broadcasting.html)
 
 Nx tensors can hold unsigned integers (u2, u4, u8, u16, u32, u64),
 signed integers (s2, s4, s8, s16, s32, s64),

nx/guides/getting_started/numerical_definitions.livemd

@@ -25,7 +25,7 @@ like this:
 
 ```elixir
 Mix.install([
-  {:nx, "~> 0.9"}
+  {:nx, "~> 1.0"}
 ])
 ```
 

nx/guides/getting_started/quickstart.livemd

@@ -26,7 +26,7 @@ First, let's install Nx with `Mix.install`.
 
 ```elixir
 Mix.install([
-  {:nx, "~> 0.9"}
+  {:nx, "~> 1.0"}
 ])
 ```
 
@@ -363,7 +363,7 @@ Nx.less_equal(a, b)
 
 These operations aggregate values across tensor axes.
 
-See also [the aggregation guide](guides/advanced/aggregation.livemd)
+See also [the aggregation guide](aggregation.html)
 for a more in-depth exploration on the subject.
 
 ### Sum

torchx/README.md

@@ -18,7 +18,7 @@ Then you can add `Torchx` as dependency in your `mix.exs`:
 ```elixir
 def deps do
   [
-    {:torchx, "~> 0.9"}
+    {:torchx, "~> 1.0"}
   ]
 end
 ```
@@ -27,7 +27,7 @@ If you are using Livebook or IEx, you can instead run:
 
 ```elixir
 Mix.install([
-  {:torchx, "~> 0.9"}
+  {:torchx, "~> 1.0"}
 ])
 ```