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diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/dev/_downloads/31ebe5f65fa406fbccca74ea8deb8a69/plot_IL2.zip b/dev/_downloads/31ebe5f65fa406fbccca74ea8deb8a69/plot_IL2.zip
diff --git a/dev/_downloads/3ca037908294af324764e4c88851b187/plot_covid.zip b/dev/_downloads/3ca037908294af324764e4c88851b187/plot_covid.zip
diff --git a/dev/_downloads/43729c3dc12e8eff64285b0fa0df2e01/plot_nn_tucker.zip b/dev/_downloads/43729c3dc12e8eff64285b0fa0df2e01/plot_nn_tucker.zip
diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/dev/_downloads/9176c20d1989efc7fe9ef15ff8b9ac98/plot_image_compression.zip b/dev/_downloads/9176c20d1989efc7fe9ef15ff8b9ac98/plot_image_compression.zip
diff --git a/dev/_downloads/b099986e302d05c170b2103cc56235d8/plot_parafac2.zip b/dev/_downloads/b099986e302d05c170b2103cc56235d8/plot_parafac2.zip
diff --git a/dev/_downloads/b8fdcea423023234b51dd9091c942145/plot_guide_for_constrained_cp.zip b/dev/_downloads/b8fdcea423023234b51dd9091c942145/plot_guide_for_constrained_cp.zip
diff --git a/dev/_downloads/b9cbdb6e86868da417502cdb389f58d1/plot_cp_line_search.zip b/dev/_downloads/b9cbdb6e86868da417502cdb389f58d1/plot_cp_line_search.zip
diff --git a/dev/_downloads/bcb72d6051bfbba3dbbe23efd1e3601f/plot_permute_factors.zip b/dev/_downloads/bcb72d6051bfbba3dbbe23efd1e3601f/plot_permute_factors.zip
diff --git a/dev/_downloads/c180f3d1630c24fd07b3388b592a8845/plot_parafac2_compression.zip b/dev/_downloads/c180f3d1630c24fd07b3388b592a8845/plot_parafac2_compression.zip
diff --git a/dev/_downloads/c83bd9c72b1132d0ca7a4c03a7979d57/plot_tucker_regression.zip b/dev/_downloads/c83bd9c72b1132d0ca7a4c03a7979d57/plot_tucker_regression.zip
diff --git a/dev/_downloads/cad167cb142025226f5b9454cd0abb41/plot_nn_cp_hals.zip b/dev/_downloads/cad167cb142025226f5b9454cd0abb41/plot_nn_cp_hals.zip
diff --git a/dev/_downloads/e2b69b698c4b4f8baba0fd4e55bfc00c/plot_tensor.zip b/dev/_downloads/e2b69b698c4b4f8baba0fd4e55bfc00c/plot_tensor.zip
diff --git a/dev/_downloads/f0754cb6f49432e87378932ce6ee13bb/plot_cp_regression.zip b/dev/_downloads/f0754cb6f49432e87378932ce6ee13bb/plot_cp_regression.zip
diff --git a/dev/_images/sphx_glr_plot_cp_line_search_001.png b/dev/_images/sphx_glr_plot_cp_line_search_001.png
diff --git a/dev/_images/sphx_glr_plot_cp_line_search_thumb.png b/dev/_images/sphx_glr_plot_cp_line_search_thumb.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_001.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_001.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_002.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_002.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_003.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_003.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_004.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_004.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_005.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_005.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_006.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_006.png
diff --git a/dev/_images/sphx_glr_plot_guide_for_constrained_cp_thumb.png b/dev/_images/sphx_glr_plot_guide_for_constrained_cp_thumb.png
diff --git a/dev/_images/sphx_glr_plot_image_compression_001.png b/dev/_images/sphx_glr_plot_image_compression_001.png
diff --git a/dev/_images/sphx_glr_plot_image_compression_thumb.png b/dev/_images/sphx_glr_plot_image_compression_thumb.png
diff --git a/dev/_images/sphx_glr_plot_nn_cp_hals_001.png b/dev/_images/sphx_glr_plot_nn_cp_hals_001.png
diff --git a/dev/_images/sphx_glr_plot_nn_cp_hals_thumb.png b/dev/_images/sphx_glr_plot_nn_cp_hals_thumb.png
diff --git a/dev/_images/sphx_glr_plot_nn_tucker_001.png b/dev/_images/sphx_glr_plot_nn_tucker_001.png
diff --git a/dev/_images/sphx_glr_plot_nn_tucker_thumb.png b/dev/_images/sphx_glr_plot_nn_tucker_thumb.png
diff --git a/dev/_images/sphx_glr_plot_permute_factors_001.png b/dev/_images/sphx_glr_plot_permute_factors_001.png
diff --git a/dev/_images/sphx_glr_plot_permute_factors_thumb.png b/dev/_images/sphx_glr_plot_permute_factors_thumb.png
diff --git a/dev/_modules/tensorly/base.html b/dev/_modules/tensorly/base.html
@@ -273,7 +273,7 @@ <h1>Source code for tensorly.base</h1><div class="highlight"><pre>
         <span class="n">new_shape</span> <span class="o">=</span> <span class="p">[</span><span class="n">tensor</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">skip_begin</span><span class="p">)]</span> <span class="o">+</span> <span class="n">new_shape</span>
 
     <span class="k">if</span> <span class="n">skip_end</span><span class="p">:</span>
-        <span class="n">new_shape</span> <span class="o">+=</span> <span class="p">[</span><span class="n">tensor</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">skip_end</span><span class="p">)]</span>
+        <span class="n">new_shape</span> <span class="o">+=</span> <span class="p">[</span><span class="n">tensor</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">skip_end</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)]</span>
 
     <span class="k">return</span> <span class="n">tl</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">tl</span><span class="o">.</span><span class="n">moveaxis</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">mode</span> <span class="o">+</span> <span class="n">skip_begin</span><span class="p">,</span> <span class="n">skip_begin</span><span class="p">),</span> <span class="n">new_shape</span><span class="p">)</span></div>
 

diff --git a/dev/_sources/auto_examples/applications/plot_IL2.rst.txt b/dev/_sources/auto_examples/applications/plot_IL2.rst.txt
@@ -254,7 +254,7 @@ affect IL-2 signaling in immune cells.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.335 seconds)
+   **Total running time of the script:** (0 minutes 1.325 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_IL2.py:

diff --git a/dev/_sources/auto_examples/applications/plot_covid.rst.txt b/dev/_sources/auto_examples/applications/plot_covid.rst.txt
@@ -217,7 +217,7 @@ how each component looks like on weights.
     /home/runner/work/tensorly/tensorly/examples/applications/plot_covid.py:116: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.
       fig2.colorbar(ScalarMappable(norm=plt.Normalize(-1, 1), cmap="PiYG"))
 
-    <matplotlib.colorbar.Colorbar object at 0x7f5fd1f5d1c0>
+    <matplotlib.colorbar.Colorbar object at 0x7f3e359b9970>
 
 
 
@@ -244,7 +244,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.281 seconds)
+   **Total running time of the script:** (0 minutes 3.387 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_covid.py:

diff --git a/dev/_sources/auto_examples/applications/plot_image_compression.rst.txt b/dev/_sources/auto_examples/applications/plot_image_compression.rst.txt
@@ -116,7 +116,7 @@ Example on how to use :func:`tensorly.decomposition.parafac` and :func:`tensorly
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.493 seconds)
+   **Total running time of the script:** (0 minutes 1.496 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_image_compression.py:

diff --git a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:06.109** total execution time for 3 files **from auto_examples/applications**:
+**00:06.208** total execution time for 3 files **from auto_examples/applications**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_applications_plot_covid.py` (``plot_covid.py``)
-     - 00:03.281
+     - 00:03.387
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_image_compression.py` (``plot_image_compression.py``)
-     - 00:01.493
+     - 00:01.496
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_IL2.py` (``plot_IL2.py``)
-     - 00:01.335
+     - 00:01.325
      - 0.0
diff --git a/dev/_sources/auto_examples/decomposition/plot_cp_line_search.rst.txt b/dev/_sources/auto_examples/decomposition/plot_cp_line_search.rst.txt
@@ -90,7 +90,7 @@ Example on how to use :func:`tensorly.decomposition.parafac` with line search to
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.486 seconds)
+   **Total running time of the script:** (0 minutes 3.419 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_cp_line_search.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_guide_for_constrained_cp.rst.txt b/dev/_sources/auto_examples/decomposition/plot_guide_for_constrained_cp.rst.txt
@@ -240,21 +240,21 @@ a python dictionary:
  .. code-block:: none
 
     1. factor
-     [[5.03 0.81 1.35]
-     [4.88 0.6  1.17]
-     [3.99 0.   0.  ]
-     [4.56 1.18 0.  ]
-     [4.75 1.14 0.22]
-     [4.96 0.87 1.09]]
+     [[3.13 1.79 2.61]
+     [5.06 0.47 0.  ]
+     [4.57 1.29 1.77]
+     [4.47 0.59 0.  ]
+     [3.95 1.42 1.89]
+     [4.48 0.97 0.93]]
     2. factor
-     [[ 0.41 -0.37 -0.57]
-     [ 0.34 -0.18  0.04]
-     [ 0.29  0.29 -0.27]
-     [ 0.51 -1.21  0.11]
-     [ 0.47 -0.48 -0.51]
-     [ 0.38  0.08 -0.64]
-     [ 0.35  0.   -0.08]
-     [ 0.38  0.01 -0.51]]
+     [[ 0.32  0.    0.23]
+     [ 0.19  1.32 -0.8 ]
+     [ 0.31 -0.14  0.22]
+     [ 0.24  0.8  -0.46]
+     [ 0.1   0.85 -0.28]
+     [ 0.36 -0.23  0.22]
+     [ 0.22  0.72 -0.26]
+     [ 0.59 -1.24  0.72]]
 
 
 
@@ -366,32 +366,32 @@ only `True` depending on the selected constraint.
  .. code-block:: none
 
     1. factor
-     [[ 43.48   1.8   -1.64]
-     [ 42.58   1.42  -4.43]
-     [ 38.74 -43.25 -19.12]
-     [ 29.06 -25.46 -31.55]
-     [ 33.54 -66.9  -32.01]
-     [ 40.16  12.7   -7.38]]
+     [[ 18.01  18.19 -31.5 ]
+     [ 29.39 -20.7   17.99]
+     [ 25.88  22.04 -18.  ]
+     [ 27.37 -27.54  18.35]
+     [ 24.12   2.3   -9.01]
+     [ 26.84  -4.37   2.46]]
     2. factor
-     [[0.36 0.06 0.19]
-     [0.34 0.   0.42]
-     [0.29 0.   0.73]
-     [0.42 0.   0.  ]
-     [0.39 0.   0.38]
-     [0.35 0.   0.5 ]
-     [0.38 1.98 0.91]
-     [0.32 0.63 0.87]]
+     [[0.41 0.01 0.79]
+     [0.4  0.57 0.  ]
+     [0.35 0.   0.36]
+     [0.38 0.14 0.  ]
+     [0.31 0.71 0.86]
+     [0.36 0.26 0.39]
+     [0.39 1.56 1.2 ]
+     [0.39 0.   0.32]]
     3. factor
-     [[ 0.03 -0.   -0.  ]
-     [ 0.03  0.01 -0.02]
-     [ 0.03 -0.   -0.01]
-     [ 0.02  0.01 -0.03]
-     [ 0.03  0.   -0.01]
-     [ 0.02  0.01 -0.02]
-     [ 0.04 -0.   -0.01]
-     [ 0.04  0.   -0.  ]
-     [ 0.03  0.   -0.01]
-     [ 0.04 -0.   -0.  ]]
+     [[ 0.05  0.   -0.  ]
+     [ 0.04 -0.01 -0.  ]
+     [ 0.04 -0.02 -0.03]
+     [ 0.05 -0.   -0.01]
+     [ 0.05 -0.02 -0.02]
+     [ 0.05  0.   -0.01]
+     [ 0.05 -0.01 -0.02]
+     [ 0.06  0.02  0.01]
+     [ 0.05  0.01  0.  ]
+     [ 0.05 -0.01 -0.01]]
 
 
 
@@ -417,7 +417,7 @@ IEEE Transactions on Signal Processing 64.19 (2016): 5052-5065.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.965 seconds)
+   **Total running time of the script:** (0 minutes 2.938 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_guide_for_constrained_cp.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_nn_cp_hals.rst.txt b/dev/_sources/auto_examples/decomposition/plot_nn_cp_hals.rst.txt
@@ -161,11 +161,11 @@ the case but the approximation is quite coarse.
  .. code-block:: none
 
     reconstructed tensor
-     [[[8289.61 8115.96]
-      [8594.8  8172.87]]
+     [[[8235.87 8286.18]
+      [8279.36 8329.65]]
 
-     [[9000.99 9158.13]
-      [9174.77 8973.56]]] 
+     [[9035.42 9041.58]
+      [9066.47 9066.45]]] 
 
     input data tensor
      [[[8210. 8211.]
@@ -224,11 +224,11 @@ Again, we can look at the reconstructed tensor entries.
  .. code-block:: none
 
     reconstructed tensor
-     [[[8211.37 8212.33]
-      [8231.38 8232.25]]
+     [[[8210.21 8208.97]
+      [8230.22 8229.08]]
 
-     [[9011.23 9012.23]
-      [9031.25 9032.16]]] 
+     [[9010.22 9009.08]
+      [9030.23 9029.19]]] 
 
     input data tensor
      [[[8210. 8211.]
@@ -296,8 +296,8 @@ First comparison option is processing time for each algorithm:
  .. code-block:: none
 
     0.04 seconds
-    0.69 seconds
-    234.12 seconds
+    0.81 seconds
+    147.32 seconds
 
 
 
@@ -331,9 +331,9 @@ In Tensorly, we provide a function to calculate Root Mean Square Error (RMSE):
 
  .. code-block:: none
 
-    250.96066
-    3.0773168
-    2.2100787
+    213.86214
+    6.2953353
+    1.5346013
 
 
 
@@ -397,7 +397,7 @@ Neural computation, 24(4), 1085-1105. (Link)
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (3 minutes 54.921 seconds)
+   **Total running time of the script:** (2 minutes 28.243 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_nn_cp_hals.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_nn_tucker.rst.txt b/dev/_sources/auto_examples/decomposition/plot_nn_tucker.rst.txt
@@ -213,8 +213,8 @@ processing time:
  .. code-block:: none
 
     time for tensorly nntucker: 0.08
-    time for HALS with fista: 4.07
-    time for HALS with as: 3.24
+    time for HALS with fista: 4.02
+    time for HALS with as: 3.27
 
 
 
@@ -246,9 +246,9 @@ to compute Root Mean Square Error (RMSE):
 
  .. code-block:: none
 
-    RMSE tensorly nntucker: 286.4050335395595
-    RMSE for hals with fista: 282.0531226500528
-    RMSE for hals with as: 281.21791381693714
+    RMSE tensorly nntucker: 288.0124458865352
+    RMSE for hals with fista: 283.4816869093704
+    RMSE for hals with as: 282.50933255306825
 
 
 
@@ -312,7 +312,7 @@ Neural computation, 24(4), 1085-1105.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.469 seconds)
+   **Total running time of the script:** (0 minutes 7.432 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_nn_tucker.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_parafac2.rst.txt b/dev/_sources/auto_examples/decomposition/plot_parafac2.rst.txt
@@ -374,7 +374,7 @@ Visualize the components
  .. code-block:: none
 
 
-    <matplotlib.legend.Legend object at 0x7f5fd84470b0>
+    <matplotlib.legend.Legend object at 0x7f3e35b93e90>
 
 
 
@@ -436,7 +436,7 @@ A direct fitting algorithm for the PARAFAC2 model.*
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.065 seconds)
+   **Total running time of the script:** (0 minutes 7.017 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_parafac2.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_parafac2_compression.rst.txt b/dev/_sources/auto_examples/decomposition/plot_parafac2_compression.rst.txt
@@ -159,7 +159,7 @@ with the lowest reconstruction error.
  .. code-block:: none
 
     Fitting PARAFAC2 model without compression...
-    It took 197.4s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) without compression
+    It took 195.6s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) without compression
 
 
 
@@ -218,8 +218,8 @@ we just need to perform the compression once for the whole grid search as well.
  .. code-block:: none
 
     Fitting PARAFAC2 model with SVD compression...
-    It took 106.7s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossless SVD compression
-    The compression took 0.0s and the fitting took 106.6s
+    It took 105.2s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossless SVD compression
+    The compression took 0.0s and the fitting took 105.2s
 
 
 
@@ -280,8 +280,8 @@ removing the parts of the data matrices that have a very low "signal strength".
  .. code-block:: none
 
     Fitting PARAFAC2 model with lossy SVD compression...
-    It took 106.2s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossy SVD compression
-    Of which the compression took 0.0s and the fitting took 106.2s
+    It took 103.9s to fit a PARAFAC2 model a tensor of shape (10, 10000, 15) with lossy SVD compression
+    Of which the compression took 0.0s and the fitting took 103.9s
 
 
 
@@ -359,7 +359,7 @@ Again, we start by fitting without compression as a baseline.
  .. code-block:: none
 
     Fitting PARAFAC2 model without compression...
-    It took 251.5s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) without compression
+    It took 253.6s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) without compression
 
 
 
@@ -413,8 +413,8 @@ Next, we fit with lossless compression.
  .. code-block:: none
 
     Fitting PARAFAC2 model with SVD compression...
-    It took 331.3s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossless SVD compression
-    Of which the compression took 0.0s and the fitting took 331.3s
+    It took 335.3s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossless SVD compression
+    Of which the compression took 0.0s and the fitting took 335.3s
 
 
 
@@ -475,8 +475,8 @@ Finally, we fit with lossy SVD compression.
  .. code-block:: none
 
     Fitting PARAFAC2 model with lossy SVD compression...
-    It took 105.2s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossy SVD compression
-    Of which the compression took 13.1s and the fitting took 92.0s
+    It took 103.2s to fit a PARAFAC2 model a tensor of shape (10, 2000, 2000) with lossy SVD compression
+    Of which the compression took 12.9s and the fitting took 90.3s
 
 
 
@@ -492,7 +492,7 @@ PARAFAC2.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (18 minutes 19.511 seconds)
+   **Total running time of the script:** (18 minutes 18.116 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_parafac2_compression.py:

diff --git a/dev/_sources/auto_examples/decomposition/plot_permute_factors.rst.txt b/dev/_sources/auto_examples/decomposition/plot_permute_factors.rst.txt
@@ -175,7 +175,7 @@ before and after permuting.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.158 seconds)
+   **Total running time of the script:** (0 minutes 0.152 seconds)
 
 
 .. _sphx_glr_download_auto_examples_decomposition_plot_permute_factors.py: