typo fix

ion-g-ion · Jan 25, 2024 · e15fbe9 · e15fbe9
1 parent 7e8ac64
commit e15fbe9
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml
@@ -8,12 +8,12 @@ jobs:
         os: [ubuntu-latest] #, windows-latest, macos-latest]
     runs-on: ${{ matrix.os }}
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
       - name: Set up Python all python version
-        uses: actions/setup-python@v3
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
-          architecture: x64
+ #         architecture: x64
       - name: Install pytorch
         run: pip install torch torchvision torchaudio
       - name: Install dependencies

diff --git a/examples/cross_interpolation.ipynb b/examples/cross_interpolation.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# Cross approximation in the TT format\n",
     "\n",
-    "Using the `torchtt.TT` constructor, a TT decomposition of a given tensor can be obtained. However, in the cases where the entries of the tensor are computed using a given function, building full tensors becomes unfeasible. It is possible to construct a TT decomposition using only a part of the entries of the full tensor. This is called the cress approximation method."
+    "Using the `torchtt.TT` constructor, a TT decomposition of a given tensor can be obtained. However, in the cases where the entries of the tensor are computed using a given function, building full tensors becomes unfeasible. It is possible to construct a TT decomposition using only a part of the entries of the full tensor. This is called the cross approximation method."
    ]
   },
   {

diff --git a/examples/cross_interpolation.py b/examples/cross_interpolation.py
@@ -4,7 +4,7 @@
 Using the `torchtt.TT` constructor, a TT decomposition of a given tensor can be obtained. 
 However, in the cases where the entries of the tensor are computed using a given function, building full tensors becomes unfeasible. 
 It is possible to construct a TT decomposition using only a part of the entries of the full tensor. 
-This is called the cress approximation method.
+This is called the cross approximation method.
 """
 
 #%% Imports