diff --git a/_images/source_Tutorial_static_analysis_20_0.png b/_images/source_Tutorial_static_analysis_20_0.png
index 724af920803f612c3ceab26f441fd2964cbc650f..844badf4020b8737fc1b1e8d7b6c5437f8aac1a2 100644
Binary files a/_images/source_Tutorial_static_analysis_20_0.png and b/_images/source_Tutorial_static_analysis_20_0.png differ
diff --git a/_sources/source/GetStarted/install.rst.txt b/_sources/source/GetStarted/install.rst.txt
index f3a7169d3978d83d35cf69c7dcdac3d8d4e29b37..5f1fa47611c8ced760764dd7d556fc7f87a59446 100644
--- a/_sources/source/GetStarted/install.rst.txt
+++ b/_sources/source/GetStarted/install.rst.txt
@@ -10,11 +10,11 @@ Install Python
 Each Aidge module are built independantly from one another.
 To install Aidge on Linux using pip, follow those steps :
 
-1. Create your python environnement with python >= 3.7. For example using virtualenv :
+1. Create your python environnement with python >= 3.10. For example using virtualenv :
 
 .. code-block:: bash
 
-    virtualenv -p python3.8 py_env_aidge
+    virtualenv -p python3.10 py_env_aidge
     source py_env_aidge/bin/activate
 
 2. **Optionnal**: Set the desired install path (which should be the same that you used for ``aidge_core`` and other Aidge modules):
diff --git a/index.html b/index.html
index eaeea425e784795e743b31f3814aa9adf0af6007..39ce70ad176d17c8ded617a456a4fb5b37d1e573 100644
--- a/index.html
+++ b/index.html
@@ -363,7 +363,7 @@
 <dd class="field-odd"><p>0.6.1</p>
 </dd>
 <dt class="field-even">Date<span class="colon">:</span></dt>
-<dd class="field-even"><p>May 19, 2025</p>
+<dd class="field-even"><p>May 22, 2025</p>
 </dd>
 </dl>
 <div class="sd-container-fluid sd-sphinx-override sd-mt-4 sd-mb-4 sd-ml-0 sd-mr-0 docutils">
diff --git a/searchindex.js b/searchindex.js
index 8e40a0d3cc0086660e7aeea713083d779d152f63..764d3b3ab961fdb4de99e07d6b2f4634d797fd83 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/source/GetStarted/install.html b/source/GetStarted/install.html
index f9c354278b0b5baac4a49c5d6ab2205480f84646..394b869a21eeb77464d0e2e162d0f469ce1e01b7 100644
--- a/source/GetStarted/install.html
+++ b/source/GetStarted/install.html
@@ -403,9 +403,9 @@
 <p>Each Aidge module are built independantly from one another.
 To install Aidge on Linux using pip, follow those steps :</p>
 <ol class="arabic simple">
-<li><p>Create your python environnement with python &gt;= 3.7. For example using virtualenv :</p></li>
+<li><p>Create your python environnement with python &gt;= 3.10. For example using virtualenv :</p></li>
 </ol>
-<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>virtualenv<span class="w"> </span>-p<span class="w"> </span>python3.8<span class="w"> </span>py_env_aidge
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>virtualenv<span class="w"> </span>-p<span class="w"> </span>python3.10<span class="w"> </span>py_env_aidge
 <span class="nb">source</span><span class="w"> </span>py_env_aidge/bin/activate
 </pre></div>
 </div>
diff --git a/source/Tutorial/101_first_step.html b/source/Tutorial/101_first_step.html
index f64a539676ea07fb8aa88af119b35bfc6c3434fb..b31e81b3e4076433109bfccddea27d710a8d67e9 100644
--- a/source/Tutorial/101_first_step.html
+++ b/source/Tutorial/101_first_step.html
@@ -540,7 +540,7 @@ Available backends for Tensor:
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 Available backends:
-{&#39;cpu&#39;, &#39;export_serialize&#39;}
+{&#39;export_serialize&#39;, &#39;cpu&#39;}
 </pre></div></div>
 </div>
 <p>For this tutorial, we will need to import <code class="docutils literal notranslate"><span class="pre">aidge_onnx</span></code> in order to load ONNX files, numpy in order to load data and matplotlib to display images.</p>
diff --git a/source/Tutorial/101_first_step.ipynb b/source/Tutorial/101_first_step.ipynb
index 986a4297289ab50278c359a711a0cce42802abd3..35daa1c30b45a80a7c7bf573d04cbff6aa54ef91 100644
--- a/source/Tutorial/101_first_step.ipynb
+++ b/source/Tutorial/101_first_step.ipynb
@@ -30,10 +30,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2025-05-19T10:05:02.204978Z"
+     "iopub.execute_input": "2025-05-22T12:17:42.507722Z",
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+     "iopub.status.idle": "2025-05-22T12:17:42.661561Z",
+     "shell.execute_reply": "2025-05-22T12:17:42.661274Z"
     }
    },
    "outputs": [
@@ -69,10 +69,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.221626Z",
-     "iopub.status.busy": "2025-05-19T10:05:02.221412Z",
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-     "shell.execute_reply": "2025-05-19T10:05:02.229419Z"
+     "iopub.execute_input": "2025-05-22T12:17:42.684343Z",
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+     "shell.execute_reply": "2025-05-22T12:17:42.692285Z"
     }
    },
    "outputs": [
@@ -122,10 +122,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.230791Z",
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-     "shell.execute_reply": "2025-05-19T10:05:02.502388Z"
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+     "shell.execute_reply": "2025-05-22T12:17:42.937125Z"
     }
    },
    "outputs": [
@@ -165,10 +165,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.503989Z",
-     "iopub.status.busy": "2025-05-19T10:05:02.503721Z",
-     "iopub.status.idle": "2025-05-19T10:05:02.507100Z",
-     "shell.execute_reply": "2025-05-19T10:05:02.506830Z"
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+     "shell.execute_reply": "2025-05-22T12:17:42.941847Z"
     }
    },
    "outputs": [
@@ -177,7 +177,7 @@
      "output_type": "stream",
      "text": [
       "Available backends:\n",
-      "{'cpu', 'export_serialize'}\n"
+      "{'export_serialize', 'cpu'}\n"
      ]
     }
    ],
@@ -199,10 +199,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
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     }
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    "outputs": [],
@@ -228,10 +228,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2025-05-19T10:05:02.613348Z"
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+     "shell.execute_reply": "2025-05-22T12:17:43.050893Z"
     }
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    "outputs": [
@@ -275,10 +275,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2025-05-19T10:05:02.614493Z",
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-     "shell.execute_reply": "2025-05-19T10:05:02.621542Z"
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     }
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    "outputs": [
@@ -330,10 +330,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.622651Z",
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-     "shell.execute_reply": "2025-05-19T10:05:02.629334Z"
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     }
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    "outputs": [
@@ -366,10 +366,10 @@
    "execution_count": 9,
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-     "shell.execute_reply": "2025-05-19T10:05:02.636462Z"
+     "iopub.execute_input": "2025-05-22T12:17:43.067556Z",
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     }
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    "outputs": [
@@ -406,10 +406,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.637632Z",
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     }
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@@ -440,10 +440,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
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     }
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    "outputs": [
@@ -482,10 +482,10 @@
    "execution_count": 12,
    "metadata": {
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    "outputs": [
@@ -520,10 +520,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.709069Z",
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     }
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    "outputs": [
@@ -558,10 +558,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:02.721888Z",
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-     "shell.execute_reply": "2025-05-19T10:05:02.728669Z"
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    "outputs": [
@@ -603,10 +603,10 @@
    "execution_count": 15,
    "metadata": {
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@@ -643,10 +643,10 @@
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    "metadata": {
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@@ -675,10 +675,10 @@
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@@ -715,10 +715,10 @@
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@@ -753,10 +753,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2025-05-19T10:05:02.768042Z"
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@@ -781,10 +781,10 @@
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@@ -826,10 +826,10 @@
    "execution_count": 21,
    "metadata": {
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@@ -864,10 +864,10 @@
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    "metadata": {
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@@ -910,10 +910,10 @@
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@@ -934,10 +934,10 @@
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@@ -967,10 +967,10 @@
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@@ -1020,10 +1020,10 @@
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-     "shell.execute_reply": "2025-05-19T10:05:03.179828Z"
+     "iopub.execute_input": "2025-05-22T12:17:43.513007Z",
+     "iopub.status.busy": "2025-05-22T12:17:43.512821Z",
+     "iopub.status.idle": "2025-05-22T12:17:43.624265Z",
+     "shell.execute_reply": "2025-05-22T12:17:43.623813Z"
     }
    },
    "outputs": [
@@ -1055,10 +1055,10 @@
    "execution_count": 27,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:03.181813Z",
-     "iopub.status.busy": "2025-05-19T10:05:03.181643Z",
-     "iopub.status.idle": "2025-05-19T10:05:03.193138Z",
-     "shell.execute_reply": "2025-05-19T10:05:03.192863Z"
+     "iopub.execute_input": "2025-05-22T12:17:43.625725Z",
+     "iopub.status.busy": "2025-05-22T12:17:43.625616Z",
+     "iopub.status.idle": "2025-05-22T12:17:43.636681Z",
+     "shell.execute_reply": "2025-05-22T12:17:43.636418Z"
     }
    },
    "outputs": [
@@ -1083,10 +1083,10 @@
    "execution_count": 28,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:03.194532Z",
-     "iopub.status.busy": "2025-05-19T10:05:03.194328Z",
-     "iopub.status.idle": "2025-05-19T10:05:03.309200Z",
-     "shell.execute_reply": "2025-05-19T10:05:03.308706Z"
+     "iopub.execute_input": "2025-05-22T12:17:43.637755Z",
+     "iopub.status.busy": "2025-05-22T12:17:43.637577Z",
+     "iopub.status.idle": "2025-05-22T12:17:43.746864Z",
+     "shell.execute_reply": "2025-05-22T12:17:43.746526Z"
     }
    },
    "outputs": [
@@ -1132,10 +1132,10 @@
    "execution_count": 29,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:03.310955Z",
-     "iopub.status.busy": "2025-05-19T10:05:03.310734Z",
-     "iopub.status.idle": "2025-05-19T10:05:03.425192Z",
-     "shell.execute_reply": "2025-05-19T10:05:03.424603Z"
+     "iopub.execute_input": "2025-05-22T12:17:43.748074Z",
+     "iopub.status.busy": "2025-05-22T12:17:43.747965Z",
+     "iopub.status.idle": "2025-05-22T12:17:43.857591Z",
+     "shell.execute_reply": "2025-05-22T12:17:43.857128Z"
     }
    },
    "outputs": [
@@ -1163,10 +1163,10 @@
    "execution_count": 30,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:03.426667Z",
-     "iopub.status.busy": "2025-05-19T10:05:03.426513Z",
-     "iopub.status.idle": "2025-05-19T10:05:03.537767Z",
-     "shell.execute_reply": "2025-05-19T10:05:03.537349Z"
+     "iopub.execute_input": "2025-05-22T12:17:43.858910Z",
+     "iopub.status.busy": "2025-05-22T12:17:43.858749Z",
+     "iopub.status.idle": "2025-05-22T12:17:43.968092Z",
+     "shell.execute_reply": "2025-05-22T12:17:43.967752Z"
     }
    },
    "outputs": [
diff --git a/source/Tutorial/database.html b/source/Tutorial/database.html
index c85ed432897e7cfc7ffe8a0e313b3ed48af8093c..4e1fe63741f4022e7806b34011c3604024d9c113 100644
--- a/source/Tutorial/database.html
+++ b/source/Tutorial/database.html
@@ -575,7 +575,7 @@ Decompression complete
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<img src="https://mermaid.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"/></div>
+<img src="https://mermaid.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"/></div>
 </div>
 <div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
@@ -637,7 +637,7 @@ Decompression complete
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-0.9633999999999999
+0.9634
 </pre></div></div>
 </div>
 </section>
diff --git a/source/Tutorial/database.ipynb b/source/Tutorial/database.ipynb
index 3a45e9a316e9c8c38ced95516394a7be172f14d1..d54d916d10f0a038b7d45765899fdb10b796e874 100644
--- a/source/Tutorial/database.ipynb
+++ b/source/Tutorial/database.ipynb
@@ -25,10 +25,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:06.993801Z",
-     "iopub.status.busy": "2025-05-19T10:05:06.993643Z",
-     "iopub.status.idle": "2025-05-19T10:05:07.634370Z",
-     "shell.execute_reply": "2025-05-19T10:05:07.634104Z"
+     "iopub.execute_input": "2025-05-22T12:17:47.641567Z",
+     "iopub.status.busy": "2025-05-22T12:17:47.641415Z",
+     "iopub.status.idle": "2025-05-22T12:17:48.082775Z",
+     "shell.execute_reply": "2025-05-22T12:17:48.082309Z"
     }
    },
    "outputs": [
@@ -63,10 +63,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:07.635492Z",
-     "iopub.status.busy": "2025-05-19T10:05:07.635292Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.326935Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.326544Z"
+     "iopub.execute_input": "2025-05-22T12:17:48.084217Z",
+     "iopub.status.busy": "2025-05-22T12:17:48.083968Z",
+     "iopub.status.idle": "2025-05-22T12:17:49.756919Z",
+     "shell.execute_reply": "2025-05-22T12:17:49.756611Z"
     }
    },
    "outputs": [
@@ -131,10 +131,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.327990Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.327808Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.508886Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.508573Z"
+     "iopub.execute_input": "2025-05-22T12:17:49.757968Z",
+     "iopub.status.busy": "2025-05-22T12:17:49.757837Z",
+     "iopub.status.idle": "2025-05-22T12:17:49.997816Z",
+     "shell.execute_reply": "2025-05-22T12:17:49.997449Z"
     }
    },
    "outputs": [],
@@ -159,10 +159,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.510424Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.510265Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.512063Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.511862Z"
+     "iopub.execute_input": "2025-05-22T12:17:49.999422Z",
+     "iopub.status.busy": "2025-05-22T12:17:49.999250Z",
+     "iopub.status.idle": "2025-05-22T12:17:50.001460Z",
+     "shell.execute_reply": "2025-05-22T12:17:50.001226Z"
     }
    },
    "outputs": [],
@@ -194,10 +194,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.512900Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.512821Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.586573Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.586264Z"
+     "iopub.execute_input": "2025-05-22T12:17:50.002214Z",
+     "iopub.status.busy": "2025-05-22T12:17:50.002126Z",
+     "iopub.status.idle": "2025-05-22T12:17:50.097444Z",
+     "shell.execute_reply": "2025-05-22T12:17:50.097110Z"
     }
    },
    "outputs": [],
@@ -214,17 +214,17 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.588333Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.588175Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.599411Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.599158Z"
+     "iopub.execute_input": "2025-05-22T12:17:50.098988Z",
+     "iopub.status.busy": "2025-05-22T12:17:50.098749Z",
+     "iopub.status.idle": "2025-05-22T12:17:50.112143Z",
+     "shell.execute_reply": "2025-05-22T12:17:50.111908Z"
     }
    },
    "outputs": [
     {
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@@ -246,10 +246,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.600292Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.600199Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.601867Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.601659Z"
+     "iopub.execute_input": "2025-05-22T12:17:50.113103Z",
+     "iopub.status.busy": "2025-05-22T12:17:50.112923Z",
+     "iopub.status.idle": "2025-05-22T12:17:50.114773Z",
+     "shell.execute_reply": "2025-05-22T12:17:50.114546Z"
     }
    },
    "outputs": [],
@@ -267,10 +267,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.602704Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.602618Z",
-     "iopub.status.idle": "2025-05-19T10:05:10.914157Z",
-     "shell.execute_reply": "2025-05-19T10:05:10.913874Z"
+     "iopub.execute_input": "2025-05-22T12:17:50.115594Z",
+     "iopub.status.busy": "2025-05-22T12:17:50.115437Z",
+     "iopub.status.idle": "2025-05-22T12:17:50.524534Z",
+     "shell.execute_reply": "2025-05-22T12:17:50.524181Z"
     }
    },
    "outputs": [],
@@ -290,10 +290,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:10.915745Z",
-     "iopub.status.busy": "2025-05-19T10:05:10.915584Z",
-     "iopub.status.idle": "2025-05-19T10:05:11.217836Z",
-     "shell.execute_reply": "2025-05-19T10:05:11.217375Z"
+     "iopub.execute_input": "2025-05-22T12:17:50.525710Z",
+     "iopub.status.busy": "2025-05-22T12:17:50.525592Z",
+     "iopub.status.idle": "2025-05-22T12:17:50.886510Z",
+     "shell.execute_reply": "2025-05-22T12:17:50.886222Z"
     }
    },
    "outputs": [
@@ -301,7 +301,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.9633999999999999\n"
+      "0.9634\n"
      ]
     }
    ],
diff --git a/source/Tutorial/export_cpp.html b/source/Tutorial/export_cpp.html
index ac04902694c5e695bccdcfbe067df81ed38a65da..c2a28c58dc0af07934325b9c07ad7ce3bedf4f95 100644
--- a/source/Tutorial/export_cpp.html
+++ b/source/Tutorial/export_cpp.html
@@ -466,7 +466,7 @@ Requirement already satisfied: pure-eval in /builds/eclipse/aidge/aidge/venv/lib
 Downloading ipywidgets-8.1.7-py3-none-any.whl (139 kB)
 Downloading jupyterlab_widgets-3.0.15-py3-none-any.whl (216 kB)
 Downloading widgetsnbextension-4.0.14-py3-none-any.whl (2.2 MB)
-   <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">2.2/2.2 MB</span> <span class="ansi-red-fg">34.7 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
+   <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">2.2/2.2 MB</span> <span class="ansi-red-fg">47.4 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
 Downloading ipycanvas-0.13.3-py2.py3-none-any.whl (125 kB)
 Installing collected packages: widgetsnbextension, jupyterlab_widgets, ipywidgets, ipycanvas
    <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">4/4</span> [ipycanvas]
@@ -493,7 +493,7 @@ Note: you may need to restart the kernel to use updated packages.
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-lenet_mnist.onnx: 100%|██████████| 349k/349k [00:00&lt;00:00, 8.07MB/s]
+lenet_mnist.onnx: 100%|██████████| 349k/349k [00:00&lt;00:00, 31.8MB/s]
 </pre></div></div>
 </div>
 </section>
@@ -650,7 +650,7 @@ lenet_mnist.onnx: 100%|██████████| 349k/349k [00:00&lt;00:00
 </pre></div>
 </div>
 <div class="output_area docutils container">
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 </div>
 </section>
 <section id="Generate-inputs-for-testing-the-model-from-your-drawing">
@@ -717,7 +717,7 @@ Please draw a number before generating the export.
 <div class="highlight"><pre>
 make[1]: Entering directory &#39;/builds/eclipse/aidge/aidge/docs/source/Tutorial/lenet_export_fp32&#39;
 g++  -O2 -Wall -Wextra -MMD -fopenmp -I. -I./dnn -I./dnn/include -I./dnn/layers -I./dnn/parameters -c dnn/src/forward.cpp -o build/./dnn/src/forward.o
-In file included from <span class="ansi-bold">./dnn/include/kernels/fullyconnected.hpp:5</span>,
+In file included from <span class="ansi-bold">./dnn/include/kernels/convolution.hpp:5</span>,
                  from <span class="ansi-bold">dnn/src/forward.cpp:16</span>:
 <span class="ansi-bold">./dnn/include/network/rescaling_utils.hpp:11:16:</span> <span class="ansi-magenta-intense-fg ansi-bold">warning: </span>‘<span class="ansi-bold">int64_t smlal(int32_t, int32_t, uint32_t, uint32_t)</span>’ defined but not used [<span class="ansi-magenta-intense-fg ansi-bold">]8;;https://gcc.gnu.org/onlinedocs/gcc/Warning-Options.html#index-Wunused-function-Wunused-function]8;;</span>]
    11 | static int64_t <span class="ansi-magenta-intense-fg ansi-bold">smlal</span>(int32_t lhs, int32_t rhs,
@@ -747,7 +747,7 @@ make[1]: Leaving directory &#39;/builds/eclipse/aidge/aidge/docs/source/Tutorial
 </pre></div></div>
 </div>
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diff --git a/source/Tutorial/export_cpp.ipynb b/source/Tutorial/export_cpp.ipynb
index 12c59968c064a6589f825fcea10e45244e05e591..33a5d4e71fe5754bd65346e56de1d225ad38ea80 100644
--- a/source/Tutorial/export_cpp.ipynb
+++ b/source/Tutorial/export_cpp.ipynb
@@ -12,10 +12,10 @@
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-     "iopub.status.busy": "2025-05-19T10:05:12.331789Z",
-     "iopub.status.idle": "2025-05-19T10:05:13.736670Z",
-     "shell.execute_reply": "2025-05-19T10:05:13.736256Z"
+     "iopub.execute_input": "2025-05-22T12:17:51.964988Z",
+     "iopub.status.busy": "2025-05-22T12:17:51.964813Z",
+     "iopub.status.idle": "2025-05-22T12:17:53.061811Z",
+     "shell.execute_reply": "2025-05-22T12:17:53.061451Z"
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@@ -38,21 +38,15 @@
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      "output_type": "stream",
      "text": [
-      "  Downloading ipywidgets-8.1.7-py3-none-any.whl.metadata (2.4 kB)\r\n",
-      "Collecting ipycanvas\r\n"
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-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "  Downloading ipycanvas-0.13.3-py2.py3-none-any.whl.metadata (6.3 kB)\r\n"
+      "  Downloading ipywidgets-8.1.7-py3-none-any.whl.metadata (2.4 kB)\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Collecting ipycanvas\r\n",
+      "  Downloading ipycanvas-0.13.3-py2.py3-none-any.whl.metadata (6.3 kB)\r\n",
       "Requirement already satisfied: charset-normalizer<4,>=2 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from requests) (3.4.2)\r\n",
       "Requirement already satisfied: idna<4,>=2.5 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from requests) (3.10)\r\n",
       "Requirement already satisfied: urllib3<3,>=1.21.1 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from requests) (2.4.0)\r\n",
@@ -66,13 +60,7 @@
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      "output_type": "stream",
      "text": [
-      "Collecting widgetsnbextension~=4.0.14 (from ipywidgets)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Collecting widgetsnbextension~=4.0.14 (from ipywidgets)\r\n",
       "  Downloading widgetsnbextension-4.0.14-py3-none-any.whl.metadata (1.6 kB)\r\n"
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@@ -80,20 +68,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Collecting jupyterlab_widgets~=3.0.15 (from ipywidgets)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "  Downloading jupyterlab_widgets-3.0.15-py3-none-any.whl.metadata (20 kB)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Collecting jupyterlab_widgets~=3.0.15 (from ipywidgets)\r\n",
+      "  Downloading jupyterlab_widgets-3.0.15-py3-none-any.whl.metadata (20 kB)\r\n",
       "Requirement already satisfied: pillow>=6.0 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from ipycanvas) (11.2.1)\r\n",
       "Requirement already satisfied: decorator in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (5.2.1)\r\n",
       "Requirement already satisfied: exceptiongroup in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (1.3.0)\r\n",
@@ -116,13 +92,7 @@
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      "output_type": "stream",
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-      "Downloading ipywidgets-8.1.7-py3-none-any.whl (139 kB)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Downloading ipywidgets-8.1.7-py3-none-any.whl (139 kB)\r\n",
       "Downloading jupyterlab_widgets-3.0.15-py3-none-any.whl (216 kB)\r\n"
      ]
     },
@@ -139,15 +109,8 @@
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-      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m34.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
-      "\u001b[?25h"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Downloading ipycanvas-0.13.3-py2.py3-none-any.whl (125 kB)\r\n"
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m47.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
+      "\u001b[?25hDownloading ipycanvas-0.13.3-py2.py3-none-any.whl (125 kB)\r\n"
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@@ -192,10 +155,10 @@
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@@ -212,7 +175,7 @@
      "output_type": "stream",
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       "\r",
-      "lenet_mnist.onnx: 100%|██████████| 349k/349k [00:00<00:00, 8.07MB/s]"
+      "lenet_mnist.onnx: 100%|██████████| 349k/349k [00:00<00:00, 31.8MB/s]"
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@@ -243,10 +206,10 @@
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    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2025-05-19T10:05:15.125035Z"
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@@ -261,10 +224,10 @@
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@@ -277,10 +240,10 @@
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-     "shell.execute_reply": "2025-05-19T10:05:15.139111Z"
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@@ -297,10 +260,10 @@
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-     "shell.execute_reply": "2025-05-19T10:05:15.254389Z"
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@@ -313,10 +276,10 @@
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@@ -338,10 +301,10 @@
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@@ -369,17 +332,17 @@
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@@ -477,10 +440,10 @@
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@@ -516,10 +479,10 @@
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    "metadata": {
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@@ -550,10 +513,10 @@
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@@ -569,7 +532,7 @@
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@@ -598,10 +561,10 @@
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diff --git a/source/Tutorial/export_cpp_add_impl.html b/source/Tutorial/export_cpp_add_impl.html
index b8d2fbc1ad1fac0ca51b6fc7009c88b012d5cdcf..05b5e33732a42e9ef0f590f10835b4cc0a2f8ce0 100644
--- a/source/Tutorial/export_cpp_add_impl.html
+++ b/source/Tutorial/export_cpp_add_impl.html
@@ -759,8 +759,8 @@ File <span class="ansi-green-fg">/builds/eclipse/aidge/aidge/venv/lib/python3.10
 <div class="highlight"><pre>
 make[1]: Entering directory &#39;/builds/eclipse/aidge/aidge/docs/source/Tutorial/myexport&#39;
 g++  -O2 -Wall -Wextra -MMD -fopenmp -I. -I./dnn -I./dnn/include -I./dnn/layers -I./dnn/parameters -c dnn/src/forward.cpp -o build/./dnn/src/forward.o
-In file included from <span class="ansi-bold">./dnn/include/layers/data_11_Gemm.h:3</span>,
-                 from <span class="ansi-bold">dnn/src/forward.cpp:17</span>:
+In file included from <span class="ansi-bold">./dnn/include/layers/data_0_Conv.h:3</span>,
+                 from <span class="ansi-bold">dnn/src/forward.cpp:15</span>:
 <span class="ansi-bold">./dnn/include/network/rescaling_utils.hpp:11:16:</span> <span class="ansi-magenta-intense-fg ansi-bold">warning: </span>‘<span class="ansi-bold">int64_t smlal(int32_t, int32_t, uint32_t, uint32_t)</span>’ defined but not used [<span class="ansi-magenta-intense-fg ansi-bold">]8;;https://gcc.gnu.org/onlinedocs/gcc/Warning-Options.html#index-Wunused-function-Wunused-function]8;;</span>]
    11 | static int64_t <span class="ansi-magenta-intense-fg ansi-bold">smlal</span>(int32_t lhs, int32_t rhs,
       |                <span class="ansi-magenta-intense-fg ansi-bold">^~~~~</span>
diff --git a/source/Tutorial/export_cpp_add_impl.ipynb b/source/Tutorial/export_cpp_add_impl.ipynb
index 8b6d7cb321973d367d37baf86506453c9fcb966d..9835fc388b7af3a8dde0db9361354463d0f42f5d 100644
--- a/source/Tutorial/export_cpp_add_impl.ipynb
+++ b/source/Tutorial/export_cpp_add_impl.ipynb
@@ -20,10 +20,10 @@
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@@ -439,8 +439,8 @@
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-      "In file included from \u001b[01m\u001b[K./dnn/include/layers/data_11_Gemm.h:3\u001b[m\u001b[K,\r\n",
-      "                 from \u001b[01m\u001b[Kdnn/src/forward.cpp:17\u001b[m\u001b[K:\r\n",
+      "In file included from \u001b[01m\u001b[K./dnn/include/layers/data_0_Conv.h:3\u001b[m\u001b[K,\r\n",
+      "                 from \u001b[01m\u001b[Kdnn/src/forward.cpp:15\u001b[m\u001b[K:\r\n",
       "\u001b[01m\u001b[K./dnn/include/network/rescaling_utils.hpp:11:16:\u001b[m\u001b[K \u001b[01;35m\u001b[Kwarning: \u001b[m\u001b[K‘\u001b[01m\u001b[Kint64_t smlal(int32_t, int32_t, uint32_t, uint32_t)\u001b[m\u001b[K’ defined but not used [\u001b[01;35m\u001b[K\u001b]8;;https://gcc.gnu.org/onlinedocs/gcc/Warning-Options.html#index-Wunused-function\u0007-Wunused-function\u001b]8;;\u0007\u001b[m\u001b[K]\r\n",
       "   11 | static int64_t \u001b[01;35m\u001b[Ksmlal\u001b[m\u001b[K(int32_t lhs, int32_t rhs,\r\n",
       "      |                \u001b[01;35m\u001b[K^~~~~\u001b[m\u001b[K\r\n"
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-      "g++  build/./dnn/src/forward.o  -fopenmp -o bin/run_export\r\n"
-     ]
-    },
-    {
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-     "output_type": "stream",
-     "text": [
+      "g++  build/./dnn/src/forward.o  -fopenmp -o bin/run_export\r\n",
       "/usr/bin/ld: /usr/lib/gcc/x86_64-linux-gnu/11/../../../x86_64-linux-gnu/Scrt1.o: in function `_start':\r\n",
       "(.text+0x1b): undefined reference to `main'\r\n",
       "collect2: error: ld returned 1 exit status\r\n",
@@ -474,10 +468,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:19.252608Z",
-     "iopub.status.busy": "2025-05-19T10:05:19.252455Z",
-     "iopub.status.idle": "2025-05-19T10:05:19.364790Z",
-     "shell.execute_reply": "2025-05-19T10:05:19.364355Z"
+     "iopub.execute_input": "2025-05-22T12:17:58.133404Z",
+     "iopub.status.busy": "2025-05-22T12:17:58.133280Z",
+     "iopub.status.idle": "2025-05-22T12:17:58.244751Z",
+     "shell.execute_reply": "2025-05-22T12:17:58.244390Z"
     }
    },
    "outputs": [
diff --git a/source/Tutorial/export_stm32.html b/source/Tutorial/export_stm32.html
index ca08a6a6670e90988ab5c0e313d4861740ddd82a..f28291ac61cc4e65a4261fbcde8ca02b68f33e26 100644
--- a/source/Tutorial/export_stm32.html
+++ b/source/Tutorial/export_stm32.html
@@ -639,7 +639,7 @@ Note: you may need to restart the kernel to use updated packages.
 </pre></div>
 </div>
 <div class="output_area docutils container">
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 </section>
 <section id="Generate-inputs-for-testing-the-model-from-your-drawing">
@@ -691,7 +691,7 @@ make[1]: Leaving directory &#39;/builds/eclipse/aidge/aidge/docs/source/Tutorial
 </pre></div></div>
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diff --git a/source/Tutorial/export_stm32.ipynb b/source/Tutorial/export_stm32.ipynb
index 3f8235770622b727408ba15a6de6fcecf9ca3782..fb7c85d385c748c52cc94d45fcad1d4e90816d0d 100644
--- a/source/Tutorial/export_stm32.ipynb
+++ b/source/Tutorial/export_stm32.ipynb
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@@ -746,24 +737,34 @@
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@@ -785,7 +786,30 @@
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diff --git a/source/Tutorial/export_trt.ipynb b/source/Tutorial/export_trt.ipynb
index 8d40dc3bbf805525ab6dbc778457dd0951e52084..cc08367773305da0d8591766262fcda43a84671e 100644
--- a/source/Tutorial/export_trt.ipynb
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@@ -49,10 +49,10 @@
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diff --git a/source/Tutorial/learning.html b/source/Tutorial/learning.html
index f83c26f32c7442cec9f5171db8f1e46fc4ca9a3e..b0a0e1fb5f3cdac1cf68b3fab00636ab8f1168e1 100644
--- a/source/Tutorial/learning.html
+++ b/source/Tutorial/learning.html
@@ -442,13 +442,13 @@
 Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cpu
 Collecting torchvision==0.14.1+cpu
   Downloading https://download.pytorch.org/whl/cpu/torchvision-0.14.1%2Bcpu-cp310-cp310-linux_x86_64.whl (16.8 MB)
-     <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">16.8/16.8 MB</span> <span class="ansi-red-fg">27.7 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
+     <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">16.8/16.8 MB</span> <span class="ansi-red-fg">44.8 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
 Requirement already satisfied: typing-extensions in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (4.13.2)
 Requirement already satisfied: numpy in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (2.2.6)
 Requirement already satisfied: requests in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (2.32.3)
 Collecting torch==1.13.1 (from torchvision==0.14.1+cpu)
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-     <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">199.1/199.1 MB</span> <span class="ansi-red-fg">40.5 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
+     <span class="ansi-black-intense-fg">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span class="ansi-green-fg">199.1/199.1 MB</span> <span class="ansi-red-fg">39.8 MB/s</span> eta <span class="ansi-cyan-fg">0:00:00</span>
 Requirement already satisfied: pillow!=8.3.*,&gt;=5.3.0 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (11.2.1)
 Requirement already satisfied: charset-normalizer&lt;4,&gt;=2 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from requests-&gt;torchvision==0.14.1+cpu) (3.4.2)
 Requirement already satisfied: idna&lt;4,&gt;=2.5 in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from requests-&gt;torchvision==0.14.1+cpu) (3.10)
@@ -464,7 +464,7 @@ Successfully installed torch-1.13.1+cpu torchvision-0.14.1+cpu
 Collecting numpy==1.24.1
   Downloading numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)
 Downloading numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
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 Installing collected packages: numpy
   Attempting uninstall: numpy
     Found existing installation: numpy 2.2.6
@@ -623,7 +623,7 @@ Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./data/ci
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@@ -692,16 +692,16 @@ Extracting ./data/cifar-10-python.tar.gz to ./data
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+Nb samples 384, loss: 0.2925276458263397, acc:6.25%, tot_acc:10.416666666666668%
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diff --git a/source/Tutorial/learning.ipynb b/source/Tutorial/learning.ipynb
index 3b352b92d9e373ec98e778985b7502bde416e541..3c6a7f153521226381f8216916bab1f0e8a0764e 100644
--- a/source/Tutorial/learning.ipynb
+++ b/source/Tutorial/learning.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:28.434457Z",
-     "iopub.status.busy": "2025-05-19T10:05:28.434307Z",
-     "iopub.status.idle": "2025-05-19T10:05:43.303069Z",
-     "shell.execute_reply": "2025-05-19T10:05:43.302562Z"
+     "iopub.execute_input": "2025-05-22T12:18:07.497146Z",
+     "iopub.status.busy": "2025-05-22T12:18:07.497021Z",
+     "iopub.status.idle": "2025-05-22T12:18:22.247532Z",
+     "shell.execute_reply": "2025-05-22T12:18:22.247111Z"
     }
    },
    "outputs": [
@@ -39,17 +39,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Collecting torchvision==0.14.1+cpu\r\n",
-      "  Downloading https://download.pytorch.org/whl/cpu/torchvision-0.14.1%2Bcpu-cp310-cp310-linux_x86_64.whl (16.8 MB)\r\n",
-      "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/16.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m"
+      "Collecting torchvision==0.14.1+cpu\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.2/16.8 MB\u001b[0m \u001b[31m25.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "  Downloading https://download.pytorch.org/whl/cpu/torchvision-0.14.1%2Bcpu-cp310-cp310-linux_x86_64.whl (16.8 MB)\r\n",
+      "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/16.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m"
      ]
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     {
@@ -57,7 +55,7 @@
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      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.2/16.8 MB\u001b[0m \u001b[31m25.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.4/16.8 MB\u001b[0m \u001b[31m47.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -65,7 +63,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.8/16.8 MB\u001b[0m \u001b[31m27.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.8/16.8 MB\u001b[0m \u001b[31m44.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
       "\u001b[?25hRequirement already satisfied: typing-extensions in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (4.13.2)\r\n",
       "Requirement already satisfied: numpy in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (2.2.6)\r\n",
       "Requirement already satisfied: requests in /builds/eclipse/aidge/aidge/venv/lib/python3.10/site-packages (from torchvision==0.14.1+cpu) (2.32.3)\r\n"
@@ -75,13 +73,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Collecting torch==1.13.1 (from torchvision==0.14.1+cpu)\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Collecting torch==1.13.1 (from torchvision==0.14.1+cpu)\r\n",
       "  Downloading https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp310-cp310-linux_x86_64.whl (199.1 MB)\r\n",
       "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/199.1 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m"
      ]
@@ -91,7 +83,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/199.1 MB\u001b[0m \u001b[31m38.7 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
+      "\u001b[2K     \u001b[91m━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.2/199.1 MB\u001b[0m \u001b[31m45.9 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
      ]
     },
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@@ -99,7 +91,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m18.9/199.1 MB\u001b[0m \u001b[31m46.8 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.6/199.1 MB\u001b[0m \u001b[31m44.8 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
      ]
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@@ -107,7 +99,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m29.9/199.1 MB\u001b[0m \u001b[31m49.6 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.4/199.1 MB\u001b[0m \u001b[31m42.7 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
      ]
     },
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@@ -115,7 +107,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m38.3/199.1 MB\u001b[0m \u001b[31m47.6 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m34.1/199.1 MB\u001b[0m \u001b[31m42.5 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
      ]
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@@ -123,7 +115,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.4/199.1 MB\u001b[0m \u001b[31m46.3 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.9/199.1 MB\u001b[0m \u001b[31m41.7 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
      ]
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@@ -131,7 +123,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m55.6/199.1 MB\u001b[0m \u001b[31m46.1 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.8/199.1 MB\u001b[0m \u001b[31m41.6 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
      ]
     },
     {
@@ -139,7 +131,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.9/199.1 MB\u001b[0m \u001b[31m44.8 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.7/199.1 MB\u001b[0m \u001b[31m41.0 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
      ]
     },
     {
@@ -147,7 +139,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.0/199.1 MB\u001b[0m \u001b[31m44.1 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.1/199.1 MB\u001b[0m \u001b[31m41.1 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
      ]
     },
     {
@@ -155,7 +147,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.6/199.1 MB\u001b[0m \u001b[31m43.5 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.7/199.1 MB\u001b[0m \u001b[31m40.8 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
      ]
     },
     {
@@ -163,7 +155,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.9/199.1 MB\u001b[0m \u001b[31m44.2 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.8/199.1 MB\u001b[0m \u001b[31m40.9 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
      ]
     },
     {
@@ -171,7 +163,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m96.2/199.1 MB\u001b[0m \u001b[31m43.5 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.3/199.1 MB\u001b[0m \u001b[31m41.7 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
      ]
     },
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@@ -179,7 +171,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m104.9/199.1 MB\u001b[0m \u001b[31m43.4 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.2/199.1 MB\u001b[0m \u001b[31m42.0 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
      ]
     },
     {
@@ -187,7 +179,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m111.1/199.1 MB\u001b[0m \u001b[31m42.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m108.8/199.1 MB\u001b[0m \u001b[31m41.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
      ]
     },
     {
@@ -195,7 +187,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m119.3/199.1 MB\u001b[0m \u001b[31m42.4 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.6/199.1 MB\u001b[0m \u001b[31m41.1 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
      ]
     },
     {
@@ -203,7 +195,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m129.5/199.1 MB\u001b[0m \u001b[31m43.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.0/199.1 MB\u001b[0m \u001b[31m41.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
      ]
     },
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@@ -211,7 +203,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m136.6/199.1 MB\u001b[0m \u001b[31m42.4 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m131.3/199.1 MB\u001b[0m \u001b[31m40.9 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
      ]
     },
     {
@@ -219,7 +211,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m145.0/199.1 MB\u001b[0m \u001b[31m42.4 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m138.9/199.1 MB\u001b[0m \u001b[31m40.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
      ]
     },
     {
@@ -227,7 +219,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m152.6/199.1 MB\u001b[0m \u001b[31m42.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m147.3/199.1 MB\u001b[0m \u001b[31m40.8 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
      ]
     },
     {
@@ -235,7 +227,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m161.2/199.1 MB\u001b[0m \u001b[31m42.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m153.9/199.1 MB\u001b[0m \u001b[31m40.3 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
      ]
     },
     {
@@ -243,7 +235,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m170.1/199.1 MB\u001b[0m \u001b[31m42.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m161.2/199.1 MB\u001b[0m \u001b[31m40.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -251,7 +243,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m178.8/199.1 MB\u001b[0m \u001b[31m42.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m168.8/199.1 MB\u001b[0m \u001b[31m40.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -259,7 +251,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━\u001b[0m \u001b[32m186.9/199.1 MB\u001b[0m \u001b[31m42.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m177.5/199.1 MB\u001b[0m \u001b[31m40.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -267,7 +259,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m \u001b[32m194.5/199.1 MB\u001b[0m \u001b[31m42.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━\u001b[0m \u001b[32m186.6/199.1 MB\u001b[0m \u001b[31m40.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -275,7 +267,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m199.0/199.1 MB\u001b[0m \u001b[31m42.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m199.0/199.1 MB\u001b[0m \u001b[31m41.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -283,7 +275,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.1/199.1 MB\u001b[0m \u001b[31m40.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.1/199.1 MB\u001b[0m \u001b[31m39.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
       "\u001b[?25h"
      ]
     },
@@ -535,6 +527,30 @@
       "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0/2\u001b[0m [torch]"
      ]
     },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0/2\u001b[0m [torch]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0/2\u001b[0m [torch]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0/2\u001b[0m [torch]"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -565,14 +581,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Collecting numpy==1.24.1\r\n",
-      "  Downloading numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)\r\n"
+      "Collecting numpy==1.24.1\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "  Downloading numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)\r\n",
       "Downloading numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)\r\n",
       "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/17.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m"
      ]
@@ -582,7 +598,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.0/17.3 MB\u001b[0m \u001b[31m33.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.5/17.3 MB\u001b[0m \u001b[31m59.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
      ]
     },
     {
@@ -590,24 +606,22 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m14.9/17.3 MB\u001b[0m \u001b[31m39.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m49.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
+      "\u001b[?25h"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\r",
-      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m36.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
-      "\u001b[?25h"
+      "Installing collected packages: numpy\r\n",
+      "  Attempting uninstall: numpy\r\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Installing collected packages: numpy\r\n",
-      "  Attempting uninstall: numpy\r\n",
       "    Found existing installation: numpy 2.2.6\r\n",
       "    Uninstalling numpy-2.2.6:\r\n",
       "      Successfully uninstalled numpy-2.2.6\r\n"
@@ -638,10 +652,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:43.304935Z",
-     "iopub.status.busy": "2025-05-19T10:05:43.304745Z",
-     "iopub.status.idle": "2025-05-19T10:05:43.306869Z",
-     "shell.execute_reply": "2025-05-19T10:05:43.306589Z"
+     "iopub.execute_input": "2025-05-22T12:18:22.248968Z",
+     "iopub.status.busy": "2025-05-22T12:18:22.248831Z",
+     "iopub.status.idle": "2025-05-22T12:18:22.250598Z",
+     "shell.execute_reply": "2025-05-22T12:18:22.250393Z"
     }
    },
    "outputs": [],
@@ -662,10 +676,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:43.308116Z",
-     "iopub.status.busy": "2025-05-19T10:05:43.307876Z",
-     "iopub.status.idle": "2025-05-19T10:05:44.114869Z",
-     "shell.execute_reply": "2025-05-19T10:05:44.114503Z"
+     "iopub.execute_input": "2025-05-22T12:18:22.251633Z",
+     "iopub.status.busy": "2025-05-22T12:18:22.251426Z",
+     "iopub.status.idle": "2025-05-22T12:18:22.972170Z",
+     "shell.execute_reply": "2025-05-22T12:18:22.971828Z"
     }
    },
    "outputs": [],
@@ -699,10 +713,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:44.116525Z",
-     "iopub.status.busy": "2025-05-19T10:05:44.116350Z",
-     "iopub.status.idle": "2025-05-19T10:05:44.118757Z",
-     "shell.execute_reply": "2025-05-19T10:05:44.118481Z"
+     "iopub.execute_input": "2025-05-22T12:18:22.973743Z",
+     "iopub.status.busy": "2025-05-22T12:18:22.973577Z",
+     "iopub.status.idle": "2025-05-22T12:18:22.975692Z",
+     "shell.execute_reply": "2025-05-22T12:18:22.975473Z"
     }
    },
    "outputs": [],
@@ -732,10 +746,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:44.119853Z",
-     "iopub.status.busy": "2025-05-19T10:05:44.119718Z",
-     "iopub.status.idle": "2025-05-19T10:05:44.153961Z",
-     "shell.execute_reply": "2025-05-19T10:05:44.153602Z"
+     "iopub.execute_input": "2025-05-22T12:18:22.976519Z",
+     "iopub.status.busy": "2025-05-22T12:18:22.976429Z",
+     "iopub.status.idle": "2025-05-22T12:18:23.009647Z",
+     "shell.execute_reply": "2025-05-22T12:18:23.009395Z"
     }
    },
    "outputs": [],
@@ -785,10 +799,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:05:44.155031Z",
-     "iopub.status.busy": "2025-05-19T10:05:44.154907Z",
-     "iopub.status.idle": "2025-05-19T10:05:44.158034Z",
-     "shell.execute_reply": "2025-05-19T10:05:44.157761Z"
+     "iopub.execute_input": "2025-05-22T12:18:23.010441Z",
+     "iopub.status.busy": "2025-05-22T12:18:23.010347Z",
+     "iopub.status.idle": "2025-05-22T12:18:23.013065Z",
+     "shell.execute_reply": "2025-05-22T12:18:23.012857Z"
     }
    },
    "outputs": [],
@@ -833,10 +847,10 @@
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@@ -958,42 +972,42 @@
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-      "Nb samples 64, loss: 0.7916586995124817, acc:10.9375%, tot_acc:10.9375%\n"
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-      "Nb samples 128, loss: 0.5616523027420044, acc:14.0625%, tot_acc:12.5%\n"
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diff --git a/source/Tutorial/scheduling.html b/source/Tutorial/scheduling.html
index 5aa15e1c4d0da86aba9aa6e72c0073a0aa2dc947..44c5f7feb438fbf4d90f332f02866bcf5c3e660c 100644
--- a/source/Tutorial/scheduling.html
+++ b/source/Tutorial/scheduling.html
@@ -420,8 +420,8 @@
 <p>Aidge introduces a well-defined consumer-producer (C-P) model for operator implementations, similar to transaction-level modeling (TLM) for electronic design. The C-P model of an operator implementation specifies how much data is consumed and produced by the operator implementation at each execution step (i.e. at each forward pass). C-P model can be specified as precise amounts of data (number of elements) or arbitrary data quantity (token). The C-P model execution path is decoupled from the
 data execution path, thus allowing to statically schedule the graph execution without providing the actual operator’s implementation.</p>
 <p>Aidge’s base scheduler use this C-P model to statically schedule a graph before execution. Scheduling is always <strong>static</strong> in Aidge.</p>
-<div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># First import some utility methods used in the tutorial:</span>
@@ -431,25 +431,20 @@ data execution path, thus allowing to statically schedule the graph execution wi
 </pre></div>
 </div>
 </div>
-<div class="nboutput nblast docutils container">
-<div class="prompt empty docutils container">
-</div>
-<div class="output_area stderr docutils container">
-<div class="highlight"><pre>
-/home/ob222806/.local/lib/python3.10/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.
-  warnings.warn(&#34;Unable to import Axes3D. This may be due to multiple versions of &#34;
-</pre></div></div>
-</div>
 <p>To generate the static scheduling of a graph, here for example MobileNetv2, just do:</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">aidge_core</span>
 <span class="kn">import</span><span class="w"> </span><span class="nn">aidge_onnx</span>
 <span class="kn">import</span><span class="w"> </span><span class="nn">aidge_backend_cpu</span>
 
-<span class="n">aidge_model</span> <span class="o">=</span> <span class="n">aidge_onnx</span><span class="o">.</span><span class="n">load_onnx</span><span class="p">(</span><span class="s2">&quot;../Learning/mobilenetv2-7.onnx&quot;</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="n">file_url</span> <span class="o">=</span> <span class="s2">&quot;https://huggingface.co/EclipseAidge/mobilenet_v2/resolve/main/mobilenetv2-7.onnx?download=true&quot;</span>
+<span class="n">file_path</span> <span class="o">=</span> <span class="s2">&quot;mobilenetv2-7.onnx&quot;</span>
+<span class="n">aidge_core</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">download_file</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="n">file_url</span><span class="p">)</span>
+
+<span class="n">aidge_model</span> <span class="o">=</span> <span class="n">aidge_onnx</span><span class="o">.</span><span class="n">load_onnx</span><span class="p">(</span><span class="s2">&quot;mobilenetv2-7.onnx&quot;</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
 <span class="n">aidge_model</span><span class="o">.</span><span class="n">set_backend</span><span class="p">(</span><span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
 
 <span class="c1"># Create the Scheduler</span>
@@ -467,28 +462,132 @@ data execution path, thus allowing to statically schedule the graph execution wi
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-/home/ob222806/.local/lib/python3.10/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.
-  warnings.warn(&#34;Unable to import Axes3D. This may be due to multiple versions of &#34;
+mobilenetv2-7.onnx: 100%|██████████| 13.6M/13.6M [00:00&lt;00:00, 35.9MB/s]
 </pre></div></div>
 </div>
-<div class="nboutput nblast docutils container">
+<div class="nboutput docutils container">
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-[<span class="ansi-blue-fg">INFO</span>] - Loading ONNX ../Learning/mobilenetv2-7.onnx
-[<span class="ansi-blue-fg">INFO</span>] - ONNX metadata:
-[<span class="ansi-blue-fg">INFO</span>]        - Producer name:
-[<span class="ansi-blue-fg">INFO</span>]        - Producer version:
-[<span class="ansi-blue-fg">INFO</span>]        - Opset max version: 7
-[<span class="ansi-blue-fg">INFO</span>] - Constructing DFG...
-[<span class="ansi-blue-fg">INFO</span>] - Processing Initializers...
+[<span class="ansi-blue-intense-fg">NOTICE</span>] -
+[<span class="ansi-blue-intense-fg">NOTICE</span>]   Downloaded mobilenetv2-7.onnx successfully.
+Context: Consumer node  (Conv2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (Conv2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (Pad2D#0) input #0
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#0 for node  (Pad2D)
+Context: Consumer node  (ConvDepthWise2D#0) input #1
+[<span class="ansi-yellow-fg">WARNING</span>] - No producer node attached to input#1 for node  (ConvDepthWise2D)
 </pre></div></div>
 </div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area rendered_html docutils container">
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+</div>
 <p>The static scheduling is generated and displayed, without any execution of the graph. Here we see that except for Producers, the network operators execution order is strictly sequential.</p>
 <p>To see a more interesting scheduling, one can try on a simple LSTM network. Lets first display the flatten LSTM graph we want to schedule:</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">lstm</span> <span class="o">=</span> <span class="n">aidge_core</span><span class="o">.</span><span class="n">LSTM</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">hidden_channels</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span> <span class="n">seq_length</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
@@ -507,11 +606,11 @@ data execution path, thus allowing to statically schedule the graph execution wi
 <div class="prompt empty docutils container">
 </div>
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+<img src="https://mermaid.ink/img/pako:eNqlmFFvmzAQgP8KIsrSSolqm5CkrKq0daq0h0qTVk2axhQxMA0amIiQtV2a_z7AgM8QYtDUhxrffeez73zn9qC7sUd1S9PH40PAgtTSDhM_jJ_djZOkk-xLm7j75A_NhpMoZnEaM_p9cpxqEz9m6b0TBeFrLvtGE89hzkQ7asfx2Ga1De3xo81s9sHz1vjC1m9odJuNR_jmKhvZ-qXN7u_W81JyfzeaS4KlECyFIDdmAGOGEH1JYm_v0mSNK5vVzAjXpi3L2pazd-EOQqgFITVEWhBRQy1GiVw3kWslYjYRU-1Yi8E9oPZ21PvBRgsylFArQB3xWSdxnMroqomuulbLEs8QiQey69Fhm9qF_EMsz7NyDrISZPJnj7I0SF9rtpqA_AON4iT4S2ulagIqZa6ZwjVTEmAhwLJbCLgFjH0NnqI48NZVApffIyKZJcIsEDzsQ-HoPpQ2kokwEOHGAWJ4gPjE3W1dXfXNXTSRhRJpXdvOW5tviIANkRM-L5vWlkoHWvnfmf5VoFAjUHJiLESgFnL8CYg_accfN8zKxRkJs6eyFTeztZF7eDa7fbN1dPMrubp95zlJ8r4YIlt_qx3gXeCMZlHyeUvo0MJCq_jVY1ki9YsS0H6sptrqp3Yfxk5qkFPL5F5IXWMQakq9YxC6gKggOzHCMQS7SH9sDjtJf0w61QGcdKQDdiedp9Gfg4cpRXCuCgM8z9Ugcs6biyLRSdVpzqR6UX_LpnPGHC-4aj1xnWG3OgPwzfRVNfqrkv6qCDZNroo7VJf9Vc3-qri_6oL3bkXx4oUQK7TKuKMeJQ6BLn8u_HnL5t1ekZu4bP0KF-flM6BPyqHqXaBIdwyfCIOuHSxJi0GkAR8Mg2p1eVCq84RFdtm_eEG_BtQ8DN4SinRA_E2hiDMpHxiqEgTyECsWJvzVoTg3ePdxx9XDwmLAtvsUXVwEbIQu8_dVMZE9rmacbawgKlCJ4gLFChQ30rrQJAVKhqCNutI6iUw33qd8R9mg3BKf4i9WcDTdNOY0btJu6Ox2n6ivVe5qfhCG1sjxHSCsgVLqS1L6ktKEOaGQu64L5OB9W8t9IH-ijCaBC8xfZz_-dJcm8W86ew68dGPh7Us14Tm7TbY559XSTM0EhiKaOrkVCTS3L0Cl_FuxVMmWQui0p-sTmtPz3p9B_nNHJy23d2kzfarpEU0iJ_B0Szvo6YZGxf98POo7-zDVj8d_mWzRVA=="/></div>
 </div>
 <p>Now lets generate the static scheduling for this graph:</p>
 <div class="nbinput docutils container">
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+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create the Scheduler</span>
@@ -528,7 +627,7 @@ data execution path, thus allowing to statically schedule the graph execution wi
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<img src="https://mermaid.ink/img/pako:eNqFmMFq3DAQhl_FOBRayEEjWbaVWykEegi0tMe9LLGbLMRe2DiQNuTdq1FWa401Y4N12P8fjTQTf7act_L-2PXlTVE-7Mdp2o3dfupvj6dhPxWvu3H_eng-__r0czfuxuLzXT8cT4d__ZX6UtwMh6f-eTqO_XWh_EV88L4XDYo_Tsfu5b4_XUHFqkKuOUBvBGz5ZmsBy-4LtqZt5a02fMv7t9-WDvgLne9dP06H6a_Ufj-z8Y4Pr84_gU_knZp3Lpurt6rf8B3X060_dctNasRilVhdRdtgxEDNO1-7bmlpf0UL8_nfNv5Wcijw1q_Dw3A8ZLY5F_97Pz4us0YvTsX9ea1ONWHK3cvTspzq3B20FG_h9hf3sD0XTUCvfdPgsutFRfV5h7jOwmr8tfZUaf2VP0B0XI0-QXQWrDmVFQ073_KLARvMpqg40SZijrrzV4Z6Eo4w-BjQPOBxeg54dAjgeR2c6NhGsE1v2dCG1qA-blyXsGqSkgy1dfKTwRIUjhTMoBgBTRoOkingCUBudSW5KaJBrVYgnacxmIKOnWFAnU0GVTCxDQRW8HSDk2gNbiXwChbHGrGAj4I6ZzY01uXQBr3OsWV0QTZCFiusCkK8kAc3X2WqTVXmdd3gyChOZ4TXtA_TSnhRX1Iwr-qLR1jOtwms6s6qy2jOY1s2tlkUo-Jd3qRvX0iqM8sITQQO6xYHwdorGiSsSThIpoS1I0woySVYe1XrNawv0xistYrdYbCeTQZrDbENBGuNB4tGwjq4WsBaGxxrWOsKB4N1GxddYN3m8ZrXBdkIWaywKgjxQp6weZ3Jlsg52NriyMAmU8K7DuNanuw5R0727BGymZ0CL7soNxncTHTLRzfLklS83W3Kt0tqNMsITQTuNF3jIOdpVJx0oibhIJkC37ohcCjJTflG1agVvudpHN9t7A7H98Xk-HaxDYRvg59FVuI7uErg2wCONb6NxsEcteu46OKsXefxmtcF2QhZrLAqCPFCnrB5lcmWyDnfBr-XTH78TqcgHSGu5vmec-R8zx49hec7BV52Ubb5UTyPbvnoZlmSire7SfgOQp3wTSI0ERi-TYUj5TsojcA3DQfJlL6aLYFDSS75cka1Xft2vkxj-DZ17A7D92wyfJsmtoHy7Z8JlRL5buNmOb4djjW-K_WRfDeW10U59Kdhf-jKm-KtnB77IfwHsOv_7F-epvL9_T9AhppG"/></div>
+<img src="https://mermaid.ink/img/pako:eNqFmE9r3DAQxb-KcSi0kIM0kmU7t1II9BBoaY97WWo3Wch6YeNA2pDvXkmxuvrzxobVwW_ejEeT_XnlvNa_TsNY31T1_X6a59007Ofx9nQ-7ufqZTftXw5Py9WH77tpN1Uf78bj6Xz4O16JT9XN8fA4Ps2nabyuhP0kcWnjVlRO_HY-Dc-_xvOV1FBlal0MtGFotgo08L5yK01tGPRGfKtvpv7tl6vWRuR1pd3l12Gc5sP8h5u5tWcDsJlyiUg2YnDksvuN5ns0060_ZYeSzEZSy-5bR2Oyl4rdLLERgSOfhyGfANlPCLk72esmXAveSjj0cz895GlqmcyPw_3xdHhPtZqJtY0UicN3z495pl7m5kKEQ6797DveLJv27Wc3M0uryUPAilKG-2QJrf2sPVU6-ykfIBQqpk8QKsyE1AZaG1xXQrNCqkYi7CBOX1Dv7a2pYD0yZYBbf48BjyIGRxLAi-Z6OAg43w5aDbK26W70-_f6fcsLt-rSOKWXIroEWErhVgymVxSDZmonLojwlDLsNgbUq3oF0TJNcgaAqaQwKADqJQhQlSqMAcEqdWg7wdXLPcOrbNxaI1Y63E3JrB9sX0LrdVNiC3SHgC7dDVNdMtUV1jWszrSS1gg_1_ZpRqKAWEe2_Ge6dYv5oY5jhoslLJft94vaFzCX3g56DfS22b70ggGJCGj_rW4jpBNBJALCunMrwdoqJDmsEztxQYh1H7adYG1VojWsizTJGQDWJMK4ANaXIMCaZBgDwpootJ1g7eWWwZqUW2tYk3YLYN2FshnWXeknrHt-qbQ3THnJlFdY17g800xaZAGb7FOPugLsS9WSbJ_SYLKTmOFiCdlgA32Q24Jt4O6w22B3m-9OBx66mO8-2gflgkgEdJo2biXnaaf03Ik6sRMXRHxTGzYe8-1UJVb4LtMkZ0B8d2FciO__QcR3H8aA-FYitJ3w7eWG4VtJt9b4VuQWOGqbUDY7a5vST1j3J2tR2humvGTKK6xrXJ5pJi2y8K3cS5IpT98i8mV8-xSF-U5ihoulp_ByA32Qm_IgXro77DbY3ea704EHE_HtBRXxnQgiEQDfSrsV8-2VluE7tRMXhG_NTdh48t7s1G7tzblIk5wB8K1MGBfg-xIEfKs2jAHy3YW2U76trAXHd-_WGt9avKfvpvq6qo_j-bg_DPVN9VrPD-PR_wdwGH_vnx_n-u3tHzyfmkY="/></div>
 </div>
 <p>In this LSTM example, the graph is cyclic and the scheduling therefore directly depends on the <code class="docutils literal notranslate"><span class="pre">seq_length</span></code> parameter. The generated static scheduling exhibits the early and late logical start for each operators. One can see that some operators have different early and late logical start, meaning their execution can happen anytime between these logical steps. Operators at the same logical step are garanteed to have no data dependency and may be executed in parallel. Conversely, operators with
 identical early and late logical start are on the critical path in the scheduling.</p>
@@ -536,7 +635,7 @@ identical early and late logical start are on the critical path in the schedulin
 graph, and any consumed or produced tensor can be considered as a single token. This is implicitely how the forward pass works in most DL frameworks.</p>
 <p>When <code class="docutils literal notranslate"><span class="pre">generate_scheduling()</span></code> is called on a graph without known dimensions, the scheduling will be entirely token-based.</p>
 <p>However, some operators cannot be statically scheduled with unknown dimensions! This is the case for the <code class="docutils literal notranslate"><span class="pre">Pop</span></code> operator: it extracts a sub-tensor along the first dimension of its input at each execution step. For exemple, with an input of shape [3, 16, 32], it will produce three [16, 32] tensors. If the input dimension is unknown, it is not possible to know how many tensors it must produce, hence how many time it must be scheduled. This is why Aidge provides the <code class="docutils literal notranslate"><span class="pre">forward_dims()</span></code> method:</p>
-<div class="nbinput docutils container">
+<div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
 </pre></div>
 </div>
@@ -547,18 +646,9 @@ graph, and any consumed or produced tensor can be considered as a single token.
 </pre></div>
 </div>
 </div>
-<div class="nboutput nblast docutils container">
-<div class="prompt empty docutils container">
-</div>
-<div class="output_area docutils container">
-<div class="highlight"><pre>
-[<span class="ansi-red-fg">ERROR</span>] - Missing mandatory input#0 for node [<span class="ansi-bold">mobilenetv20_features_conv0_fwd</span> -
-[<span class="ansi-red-fg">ERROR</span>]   (<span class="ansi-bold">PaddedConv2D</span>)]
-</pre></div></div>
-</div>
 <p>Here, it fails with an error for the MobileNetv2 model because there is no input provided to the graph: the input dimension is unknown!</p>
 <p>When called without argument, it is assumed that all the inputs of the graph have known dimensions (a tensor or a <code class="docutils literal notranslate"><span class="pre">Producer</span></code> is connected to each input). It is also possible to specify a list of expected size of the graph inputs:</p>
-<div class="nbinput docutils container">
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 </pre></div>
 </div>
@@ -566,48 +656,10 @@ graph, and any consumed or produced tensor can be considered as a single token.
 </pre></div>
 </div>
 </div>
-<div class="nboutput docutils container">
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-</div>
-<div class="output_area docutils container">
-<div class="highlight"><pre>
-[<span class="ansi-blue-intense-fg">NOTICE</span>] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes
-</pre></div></div>
-</div>
-<div class="nboutput docutils container">
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-False
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-<div class="output_area docutils container">
-<div class="highlight"><pre>
-[<span class="ansi-blue-intense-fg">NOTICE</span>]   precedence
-[<span class="ansi-yellow-fg">WARNING</span>] - Reshape_Op: unable to forwardDims() because output dims are data
-[<span class="ansi-yellow-fg">WARNING</span>]   dependent on input#1
-[<span class="ansi-blue-intense-fg">NOTICE</span>] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes
-[<span class="ansi-blue-intense-fg">NOTICE</span>]   precedence
-[<span class="ansi-yellow-fg">WARNING</span>] - Reshape_Op: unable to forwardDims() because output dims are data
-[<span class="ansi-yellow-fg">WARNING</span>]   dependent on input#1
-[<span class="ansi-blue-intense-fg">NOTICE</span>] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes
-[<span class="ansi-blue-intense-fg">NOTICE</span>]   precedence
-[<span class="ansi-yellow-fg">WARNING</span>] - Reshape_Op: unable to forwardDims() because output dims are data
-[<span class="ansi-yellow-fg">WARNING</span>]   dependent on input#1
-[<span class="ansi-yellow-fg">WARNING</span>] - Unable to forward dimensions (circular dependency and/or wrong
-[<span class="ansi-yellow-fg">WARNING</span>]   dimensions and/or data dependent dimension?). Unable to compute
-[<span class="ansi-yellow-fg">WARNING</span>]   output dims for nodes [&#34;mobilenetv20_output_flatten0_reshape0
-[<span class="ansi-yellow-fg">WARNING</span>]   (Reshape)&#34;].
-</pre></div></div>
-</div>
 <p>In this case, the <code class="docutils literal notranslate"><span class="pre">forward_dims()</span></code> method will automatically <strong>create</strong> missing input tensors of the specified size, or <strong>check</strong> that the existing inputs have the right size.</p>
 <p>For some operators, the output dimensions cannot be deduced from its inputs dimensions alone. This is typically the case when the output dimension depends of some inputs <strong>data</strong>, rather than just dimensions, as for the <code class="docutils literal notranslate"><span class="pre">Reshape</span></code> operator for example. When this happens, <code class="docutils literal notranslate"><span class="pre">forward_dims()</span></code> will fail with a “Unable to forward dimensions” error and return <code class="docutils literal notranslate"><span class="pre">False</span></code>. There is a workaround however: if the required inputs data are known before model execution (for example, if the shape input of the
 <code class="docutils literal notranslate"><span class="pre">Reshape</span></code> operator is simply a <code class="docutils literal notranslate"><span class="pre">Producer</span></code>), it is possible to force the evaluation of the required input data by setting the <code class="docutils literal notranslate"><span class="pre">allow_data_dependency</span></code> flag to True:</p>
-<div class="nbinput docutils container">
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 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
 </pre></div>
 </div>
@@ -615,33 +667,6 @@ False
 </pre></div>
 </div>
 </div>
-<div class="nboutput docutils container">
-<div class="prompt empty docutils container">
-</div>
-<div class="output_area docutils container">
-<div class="highlight"><pre>
-[<span class="ansi-blue-intense-fg">NOTICE</span>] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes
-[<span class="ansi-blue-intense-fg">NOTICE</span>
-</pre></div></div>
-</div>
-<div class="nboutput docutils container">
-<div class="prompt empty docutils container">
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-True
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-</div>
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-</div>
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-]   precedence
-[<span class="ansi-blue-intense-fg">NOTICE</span>] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes
-[<span class="ansi-blue-intense-fg">NOTICE</span>]   precedence
-</pre></div></div>
-</div>
 <p>Beware that if some required data must be first <strong>computed</strong>, the result will be undefined, as the propagated dimensions will be invalid!</p>
 <p>Note that when the model is executed, the operators output dimensions are automatically computed at runtime, without any need to call <code class="docutils literal notranslate"><span class="pre">forward_dims()</span></code> before-hand.</p>
 <p>To summarize, three scheduling modes are possible depending on the C-P models available:</p>
@@ -703,7 +728,7 @@ possible.</p>
 <section id="Producers-produce-whole-tensor-data-on-demand">
 <h2>Producers produce whole tensor data <em>on demand</em><a class="headerlink" href="#Producers-produce-whole-tensor-data-on-demand" title="Link to this heading">#</a></h2>
 <p>Lets create a simple model:</p>
-<div class="nbinput docutils container">
+<div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
 </pre></div>
 </div>
@@ -728,12 +753,6 @@ possible.</p>
 </pre></div>
 </div>
 </div>
-<div class="nboutput nblast docutils container">
-<div class="prompt empty docutils container">
-</div>
-<div class="output_area rendered_html docutils container">
-<img src="https://mermaid.ink/img/pako:eNp1kc1qwzAQhF9FqARc8MGS7B5yTcgph6SQm6Co3m1isCVQ5NQQ8u5Z_7SNRQpzETN8u9q58tIB8iXjR2ND0BZMwI3zjQms09Z01Xl6Lfbaals6e1Ef3yzZeQdtif6leGXLLGX56ImZJ8hrqhrPwVlMGcWyYYKhxKUC9A_Z7Fm2R8oZUo3j5I_3-eDlM0_MPPkfXrBk1ZPW8QaCpK3HuqXIO24PcUD-rUGDDADCc5IijSQ5kaLD5L_3UxEpChakkaQmUvSvN1LfE08Zb5CKq4DKvfJwwmaoGfDLtHXgt9sdxdmh0w=="/></div>
-</div>
 <p>With the objective to generate data at the output node (<code class="docutils literal notranslate"><span class="pre">relu3</span></code>), the scheduling algorithm goes back to the first prior which is <code class="docutils literal notranslate"><span class="pre">conv1</span></code>, which will trigger the production of a whole tensor for Producer <code class="docutils literal notranslate"><span class="pre">dataProvider</span></code>. From that, <code class="docutils literal notranslate"><span class="pre">conv1</span></code> becomes the first consumer, produces its output, then <code class="docutils literal notranslate"><span class="pre">conv2</span></code> becomes a producer, etc. Once <code class="docutils literal notranslate"><span class="pre">relu3</span></code> consumes its input tensor and produces an output tensor, the algorithm stops because there is no more consumer in the graph.</p>
 <p>However, if at this point, <code class="docutils literal notranslate"><span class="pre">relu3</span></code> would not have produced anything yet, that would mean, <strong>by construction</strong>, that there are still consumers somewhere in the graph. If that is the case, be aware that Producers continue to provide data <em>on demand</em>. Meaning if at some point, a node becomes a consumer that would only require new data at one of its Producer inputs, the required Producers would again produce a whole tensor.</p>
 </section>
@@ -816,7 +835,7 @@ possible.</p>
 </div>
 <p>Now we can actually schedule the model and get a pipelined dataflow static scheduling!</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">save_factorized_static_scheduling_diagram()</span></code> function displays a compact form of scheduling where repetitive sequences have been factorized. The number of repetition of each sequence is specified left to the sequence (if not specified, there is no repetition).</p>
-<div class="nbinput docutils container">
+<div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
 </pre></div>
 </div>
@@ -832,12 +851,6 @@ possible.</p>
 </pre></div>
 </div>
 </div>
-<div class="nboutput nblast docutils container">
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-</div>
-<div class="output_area rendered_html docutils container">
-<img src="https://mermaid.ink/img/pako:eNqVUssKwjAQ_JUQERQ8tGlV8Kr0rPeAhGbVQLvBNi0F8d8dH4dWBBUGdgPzguxF5t6SXAl5NByCZmsCZb4qTRCdZtO5-vUa7zRrrikPzrOo6TyKHmyzrXzrLFVigs02OVWjaCpWpSuoDp5pJiJgKI3FpEummnPPLfY1htrsN9m70kDSYsbA0EHBQb0cVN8h_uyggN_zEmCYlyAvjf8ITIEnO-mz1Wf2HPi93pPdr5d-L7YAhqL5935L4P7vciZkSTgEZ3EsFxlOVD7OxtLBNEWQ1-sNBmy-Iw=="/></div>
-</div>
 </section>
 </section>
 
diff --git a/source/Tutorial/scheduling.ipynb b/source/Tutorial/scheduling.ipynb
index fc3ba771a156254e04fd0bc10dac6dc45304442a..aabbf528c1bd1a4d432dabc95883cdd872375e18 100644
--- a/source/Tutorial/scheduling.ipynb
+++ b/source/Tutorial/scheduling.ipynb
@@ -13,18 +13,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/ob222806/.local/lib/python3.10/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n",
-      "  warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# First import some utility methods used in the tutorial:\n",
     "import sys, os\n",
@@ -41,29 +32,139 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/ob222806/.local/lib/python3.10/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n",
-      "  warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n"
+      "mobilenetv2-7.onnx: 100%|██████████| 13.6M/13.6M [00:00<00:00, 35.9MB/s]\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[\u001b[34mINFO\u001b[0m] - Loading ONNX ../Learning/mobilenetv2-7.onnx\n",
-      "[\u001b[34mINFO\u001b[0m] - ONNX metadata:\n",
-      "[\u001b[34mINFO\u001b[0m]   \t- Producer name: \n",
-      "[\u001b[34mINFO\u001b[0m]   \t- Producer version: \n",
-      "[\u001b[34mINFO\u001b[0m]   \t- Opset max version: 7\n",
-      "[\u001b[34mINFO\u001b[0m] - Constructing DFG...\n",
-      "[\u001b[34mINFO\u001b[0m] - Processing Initializers...\n"
+      "[\u001b[94mNOTICE\u001b[0m] - \n",
+      "[\u001b[94mNOTICE\u001b[0m]   Downloaded mobilenetv2-7.onnx successfully.\n",
+      "Context: Consumer node  (Conv2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (Conv2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (Pad2D#0) input #0\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#0 for node  (Pad2D)\n",
+      "Context: Consumer node  (ConvDepthWise2D#0) input #1\n",
+      "[\u001b[33mWARNING\u001b[0m] - No producer node attached to input#1 for node  (ConvDepthWise2D)\n"
      ]
+    },
+    {
+     "data": {
+      "text/html": [
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+      ],
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -71,7 +172,11 @@
     "import aidge_onnx\n",
     "import aidge_backend_cpu\n",
     "\n",
-    "aidge_model = aidge_onnx.load_onnx(\"../Learning/mobilenetv2-7.onnx\", verbose=False)\n",
+    "file_url = \"https://huggingface.co/EclipseAidge/mobilenet_v2/resolve/main/mobilenetv2-7.onnx?download=true\"\n",
+    "file_path = \"mobilenetv2-7.onnx\"\n",
+    "aidge_core.utils.download_file(file_path, file_url)\n",
+    "\n",
+    "aidge_model = aidge_onnx.load_onnx(\"mobilenetv2-7.onnx\", verbose=False)\n",
     "aidge_model.set_backend(\"cpu\")\n",
     "\n",
     "# Create the Scheduler\n",
@@ -94,13 +199,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<img src=\"https://mermaid.ink/img/pako:eNqlWG1r2zAQ_ivGIUsLCZX8kqReKWwdgX0YDFYGYxnBs-XGzJaDo2zt0vz32ZbknJzEshn9UOn0PPem853avRlkITE9wxwO9zGNmWfsR1GS_QnWfs5Gxc4YBbv8NymWozSjGcso-TY6jI1RlFG28NM4eSnPvpI89Kk_Mg7GYThc0lqH8fh-SZf0c56Fu4DkK-xc3ZH0Xu4H2Lm7KfbXnudthOwh2UICahCQjmA1CNZ5wuJh5VbIxcPA5ZAl_RI_pVkcrnB1InYDLI8_kTTL479kxZ2S2wGSgEIpkkpr4ceQUBazF3Ekt0fAuzBcca-L1cCS4kefrgWnXCpWZtLKDAgdKXSgZrvWbEtxnaypmqupJreN1F7IbGnUqY06zdxaSm6tk9xiNbfH5O8SwS1WR55UixS1MFe2TIsNhFgKMcwVqt2GCqYSOwVCSwot6CCqHVRuF9d68ckd2GpSbV19u436dnUE3CBgHaHhEb7gUhkvruPFStniY9meRtx0SOPPrQq_1cAbDeNsv1jlWcZU2lylzTVWGn1M18Yal6a7s5kKn-luzJlM7l-XJjK-z8fG_IexSDKf2dbdz_zm_k3o5_nbaomX5mvZPJT-2ovqKp22F3XKe67gnANVXwpowhegqIBWzQA2ZI7F57Dc7a7QWXco7g7lwaOWiKr2A4dFC7ZU1R3qdIfa3aGWmFstKD7A5CBrufiqc_K5pikPmw86TR5tMflaYPU0gtMQ1rOjq2cbDsZeXwIWM7KtvutpqMfyhgsGrOa7gWWLL5QtBt9Y-UuTcAfMYY11fs-2RqHFh7SmGpCY2h3umZudahRys7posZj1GmWOmP0dvMPwPXCspYuFZNWFBN4F3XnKAMDdeUr37-HnVDwWuhS87BdY0y-U2Lu7guDDojvNgQ-MXm0CGpz3YkKbTi8mbGo9ygLSZt1pRSOM6WbH0NVVTAfounynVILikTLhapr3By67QuKKijXUsk6O40lQrYpq9bHamNsndVZgsx3jERULERIX8ZcvaJ-X2ZizcZMdJP52-4FEhnTXiOIk8QZ-5IPDmiBOI-WUPDOSUz85ngdBAM7BO7E-j8D5E6EkjwOg_rb4icZblme_yORPHLK1hzfPUhD62-LP-dx_8QzXcIGilDC_1KIQ3c0zgIi3toAUphA67-nqDHLc7n0L5T8jOqv5NMolNceGmZI89ePQ9Iy9ydYkrf6nEpLI3yXMPBz-AROBqfQ=\"/>"
+       "<img src=\"https://mermaid.ink/img/pako:eNqlmFFvmzAQgP8KIsrSSolqm5CkrKq0daq0h0qTVk2axhQxMA0amIiQtV2a_z7AgM8QYtDUhxrffeez73zn9qC7sUd1S9PH40PAgtTSDhM_jJ_djZOkk-xLm7j75A_NhpMoZnEaM_p9cpxqEz9m6b0TBeFrLvtGE89hzkQ7asfx2Ga1De3xo81s9sHz1vjC1m9odJuNR_jmKhvZ-qXN7u_W81JyfzeaS4KlECyFIDdmAGOGEH1JYm_v0mSNK5vVzAjXpi3L2pazd-EOQqgFITVEWhBRQy1GiVw3kWslYjYRU-1Yi8E9oPZ21PvBRgsylFArQB3xWSdxnMroqomuulbLEs8QiQey69Fhm9qF_EMsz7NyDrISZPJnj7I0SF9rtpqA_AON4iT4S2ulagIqZa6ZwjVTEmAhwLJbCLgFjH0NnqI48NZVApffIyKZJcIsEDzsQ-HoPpQ2kokwEOHGAWJ4gPjE3W1dXfXNXTSRhRJpXdvOW5tviIANkRM-L5vWlkoHWvnfmf5VoFAjUHJiLESgFnL8CYg_accfN8zKxRkJs6eyFTeztZF7eDa7fbN1dPMrubp95zlJ8r4YIlt_qx3gXeCMZlHyeUvo0MJCq_jVY1ki9YsS0H6sptrqp3Yfxk5qkFPL5F5IXWMQakq9YxC6gKggOzHCMQS7SH9sDjtJf0w61QGcdKQDdiedp9Gfg4cpRXCuCgM8z9Ugcs6biyLRSdVpzqR6UX_LpnPGHC-4aj1xnWG3OgPwzfRVNfqrkv6qCDZNroo7VJf9Vc3-qri_6oL3bkXx4oUQK7TKuKMeJQ6BLn8u_HnL5t1ekZu4bP0KF-flM6BPyqHqXaBIdwyfCIOuHSxJi0GkAR8Mg2p1eVCq84RFdtm_eEG_BtQ8DN4SinRA_E2hiDMpHxiqEgTyECsWJvzVoTg3ePdxx9XDwmLAtvsUXVwEbIQu8_dVMZE9rmacbawgKlCJ4gLFChQ30rrQJAVKhqCNutI6iUw33qd8R9mg3BKf4i9WcDTdNOY0btJu6Ox2n6ivVe5qfhCG1sjxHSCsgVLqS1L6ktKEOaGQu64L5OB9W8t9IH-ijCaBC8xfZz_-dJcm8W86ew68dGPh7Us14Tm7TbY559XSTM0EhiKaOrkVCTS3L0Cl_FuxVMmWQui0p-sTmtPz3p9B_nNHJy23d2kzfarpEU0iJ_B0Szvo6YZGxf98POo7-zDVj8d_mWzRVA==\"/>"
       ],
       "text/plain": [
        "<IPython.core.display.Image object>"
@@ -131,13 +236,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<img src=\"https://mermaid.ink/img/pako:eNqFmMFq3DAQhl_FOBRayEEjWbaVWykEegi0tMe9LLGbLMRe2DiQNuTdq1FWa401Y4N12P8fjTQTf7act_L-2PXlTVE-7Mdp2o3dfupvj6dhPxWvu3H_eng-__r0czfuxuLzXT8cT4d__ZX6UtwMh6f-eTqO_XWh_EV88L4XDYo_Tsfu5b4_XUHFqkKuOUBvBGz5ZmsBy-4LtqZt5a02fMv7t9-WDvgLne9dP06H6a_Ufj-z8Y4Pr84_gU_knZp3Lpurt6rf8B3X060_dctNasRilVhdRdtgxEDNO1-7bmlpf0UL8_nfNv5Wcijw1q_Dw3A8ZLY5F_97Pz4us0YvTsX9ea1ONWHK3cvTspzq3B20FG_h9hf3sD0XTUCvfdPgsutFRfV5h7jOwmr8tfZUaf2VP0B0XI0-QXQWrDmVFQ073_KLARvMpqg40SZijrrzV4Z6Eo4w-BjQPOBxeg54dAjgeR2c6NhGsE1v2dCG1qA-blyXsGqSkgy1dfKTwRIUjhTMoBgBTRoOkingCUBudSW5KaJBrVYgnacxmIKOnWFAnU0GVTCxDQRW8HSDk2gNbiXwChbHGrGAj4I6ZzY01uXQBr3OsWV0QTZCFiusCkK8kAc3X2WqTVXmdd3gyChOZ4TXtA_TSnhRX1Iwr-qLR1jOtwms6s6qy2jOY1s2tlkUo-Jd3qRvX0iqM8sITQQO6xYHwdorGiSsSThIpoS1I0woySVYe1XrNawv0xistYrdYbCeTQZrDbENBGuNB4tGwjq4WsBaGxxrWOsKB4N1GxddYN3m8ZrXBdkIWaywKgjxQp6weZ3Jlsg52NriyMAmU8K7DuNanuw5R0727BGymZ0CL7soNxncTHTLRzfLklS83W3Kt0tqNMsITQTuNF3jIOdpVJx0oibhIJkC37ohcCjJTflG1agVvudpHN9t7A7H98Xk-HaxDYRvg59FVuI7uErg2wCONb6NxsEcteu46OKsXefxmtcF2QhZrLAqCPFCnrB5lcmWyDnfBr-XTH78TqcgHSGu5vmec-R8zx49hec7BV52Ubb5UTyPbvnoZlmSire7SfgOQp3wTSI0ERi-TYUj5TsojcA3DQfJlL6aLYFDSS75cka1Xft2vkxj-DZ17A7D92wyfJsmtoHy7Z8JlRL5buNmOb4djjW-K_WRfDeW10U59Kdhf-jKm-KtnB77IfwHsOv_7F-epvL9_T9AhppG\"/>"
+       "<img src=\"https://mermaid.ink/img/pako:eNqFmE9r3DAQxb-KcSi0kIM0kmU7t1II9BBoaY97WWo3Wch6YeNA2pDvXkmxuvrzxobVwW_ejEeT_XnlvNa_TsNY31T1_X6a59007Ofx9nQ-7ufqZTftXw5Py9WH77tpN1Uf78bj6Xz4O16JT9XN8fA4Ps2nabyuhP0kcWnjVlRO_HY-Dc-_xvOV1FBlal0MtGFotgo08L5yK01tGPRGfKtvpv7tl6vWRuR1pd3l12Gc5sP8h5u5tWcDsJlyiUg2YnDksvuN5ns0060_ZYeSzEZSy-5bR2Oyl4rdLLERgSOfhyGfANlPCLk72esmXAveSjj0cz895GlqmcyPw_3xdHhPtZqJtY0UicN3z495pl7m5kKEQ6797DveLJv27Wc3M0uryUPAilKG-2QJrf2sPVU6-ykfIBQqpk8QKsyE1AZaG1xXQrNCqkYi7CBOX1Dv7a2pYD0yZYBbf48BjyIGRxLAi-Z6OAg43w5aDbK26W70-_f6fcsLt-rSOKWXIroEWErhVgymVxSDZmonLojwlDLsNgbUq3oF0TJNcgaAqaQwKADqJQhQlSqMAcEqdWg7wdXLPcOrbNxaI1Y63E3JrB9sX0LrdVNiC3SHgC7dDVNdMtUV1jWszrSS1gg_1_ZpRqKAWEe2_Ge6dYv5oY5jhoslLJft94vaFzCX3g56DfS22b70ggGJCGj_rW4jpBNBJALCunMrwdoqJDmsEztxQYh1H7adYG1VojWsizTJGQDWJMK4ANaXIMCaZBgDwpootJ1g7eWWwZqUW2tYk3YLYN2FshnWXeknrHt-qbQ3THnJlFdY17g800xaZAGb7FOPugLsS9WSbJ_SYLKTmOFiCdlgA32Q24Jt4O6w22B3m-9OBx66mO8-2gflgkgEdJo2biXnaaf03Ik6sRMXRHxTGzYe8-1UJVb4LtMkZ0B8d2FciO__QcR3H8aA-FYitJ3w7eWG4VtJt9b4VuQWOGqbUDY7a5vST1j3J2tR2humvGTKK6xrXJ5pJi2y8K3cS5IpT98i8mV8-xSF-U5ihoulp_ByA32Qm_IgXro77DbY3ea704EHE_HtBRXxnQgiEQDfSrsV8-2VluE7tRMXhG_NTdh48t7s1G7tzblIk5wB8K1MGBfg-xIEfKs2jAHy3YW2U76trAXHd-_WGt9avKfvpvq6qo_j-bg_DPVN9VrPD-PR_wdwGH_vnx_n-u3tHzyfmkY=\"/>"
       ],
       "text/plain": [
        "<IPython.core.display.Image object>"
@@ -179,16 +284,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[31mERROR\u001b[0m] - Missing mandatory input#0 for node [\u001b[1m\u001b[3mmobilenetv20_features_conv0_fwd\u001b[0m -\n",
-      "[\u001b[31mERROR\u001b[0m]   (\u001b[1m\u001b[3mPaddedConv2D\u001b[0m)]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "try:\n",
     "    aidge_model.forward_dims()\n",
@@ -210,46 +306,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[94mNOTICE\u001b[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[94mNOTICE\u001b[0m]   precedence\n",
-      "[\u001b[33mWARNING\u001b[0m] - Reshape_Op: unable to forwardDims() because output dims are data\n",
-      "[\u001b[33mWARNING\u001b[0m]   dependent on input#1\n",
-      "[\u001b[94mNOTICE\u001b[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes\n",
-      "[\u001b[94mNOTICE\u001b[0m]   precedence\n",
-      "[\u001b[33mWARNING\u001b[0m] - Reshape_Op: unable to forwardDims() because output dims are data\n",
-      "[\u001b[33mWARNING\u001b[0m]   dependent on input#1\n",
-      "[\u001b[94mNOTICE\u001b[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes\n",
-      "[\u001b[94mNOTICE\u001b[0m]   precedence\n",
-      "[\u001b[33mWARNING\u001b[0m] - Reshape_Op: unable to forwardDims() because output dims are data\n",
-      "[\u001b[33mWARNING\u001b[0m]   dependent on input#1\n",
-      "[\u001b[33mWARNING\u001b[0m] - Unable to forward dimensions (circular dependency and/or wrong\n",
-      "[\u001b[33mWARNING\u001b[0m]   dimensions and/or data dependent dimension?). Unable to compute\n",
-      "[\u001b[33mWARNING\u001b[0m]   output dims for nodes [\"mobilenetv20_output_flatten0_reshape0\n",
-      "[\u001b[33mWARNING\u001b[0m]   (Reshape)\"].\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "aidge_model.forward_dims(dims=[[1, 3, 16, 16]])"
    ]
@@ -267,35 +324,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[\u001b[94mNOTICE\u001b[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes\n",
-      "[\u001b[94mNOTICE\u001b[0m"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "]   precedence\n",
-      "[\u001b[94mNOTICE\u001b[0m] - Reshape_Op: ignoring non-empty Shape attribute because input#1 takes\n",
-      "[\u001b[94mNOTICE\u001b[0m]   precedence\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "aidge_model.forward_dims(dims=[[1, 3, 16, 16]], allow_data_dependency=True)"
    ]
@@ -378,20 +407,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"https://mermaid.ink/img/pako:eNp1kc1qwzAQhF9FqARc8MGS7B5yTcgph6SQm6Co3m1isCVQ5NQQ8u5Z_7SNRQpzETN8u9q58tIB8iXjR2ND0BZMwI3zjQms09Z01Xl6Lfbaals6e1Ef3yzZeQdtif6leGXLLGX56ImZJ8hrqhrPwVlMGcWyYYKhxKUC9A_Z7Fm2R8oZUo3j5I_3-eDlM0_MPPkfXrBk1ZPW8QaCpK3HuqXIO24PcUD-rUGDDADCc5IijSQ5kaLD5L_3UxEpChakkaQmUvSvN1LfE08Zb5CKq4DKvfJwwmaoGfDLtHXgt9sdxdmh0w==\"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "model = aidge_core.sequential([\n",
     "    aidge_core.Producer([16, 3, 512, 512], name=\"dataProvider\"),\n",
@@ -465,7 +481,7 @@
     "                return aidge_core.Elts_t.data_elts(input.dims()[2])\n",
     "        else:\n",
     "            return aidge_core.Elts_t.none_elts()\n",
-    "    \n",
+    "\n",
     "    def get_required_memory(self, output_idx, inputs_size):\n",
     "        output = self.get_operator().get_output(output_idx)\n",
     "        self.state_begin = False\n",
@@ -534,20 +550,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<img src=\"https://mermaid.ink/img/pako:eNqVUssKwjAQ_JUQERQ8tGlV8Kr0rPeAhGbVQLvBNi0F8d8dH4dWBBUGdgPzguxF5t6SXAl5NByCZmsCZb4qTRCdZtO5-vUa7zRrrikPzrOo6TyKHmyzrXzrLFVigs02OVWjaCpWpSuoDp5pJiJgKI3FpEummnPPLfY1htrsN9m70kDSYsbA0EHBQb0cVN8h_uyggN_zEmCYlyAvjf8ITIEnO-mz1Wf2HPi93pPdr5d-L7YAhqL5935L4P7vciZkSTgEZ3EsFxlOVD7OxtLBNEWQ1-sNBmy-Iw==\"/>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "model.forward_dims()\n",
     "\n",
@@ -568,7 +571,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "aidge",
    "language": "python",
    "name": "python3"
   },
@@ -582,7 +585,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,
diff --git a/source/Tutorial/static_analysis.html b/source/Tutorial/static_analysis.html
index 665c9ac6137d9cf4aa11b9999f42d61bec7168eb..d00b9dc8ed811cefa9281690a91492de32b3f9cc 100644
--- a/source/Tutorial/static_analysis.html
+++ b/source/Tutorial/static_analysis.html
@@ -459,7 +459,7 @@
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-dinov2.onnx: 100%|██████████| 82.7M/82.7M [00:01&lt;00:00, 84.0MB/s]
+dinov2.onnx: 100%|██████████| 82.7M/82.7M [00:01&lt;00:00, 47.9MB/s]
 </pre></div></div>
 </div>
 </section>
@@ -512,21 +512,21 @@ Native operators coverage: 100.0% (824/824)
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 (defaultdict(int,
-             {&#39;Add&#39;: 159,
-              &#39;ReduceMean&#39;: 50,
-              &#39;Reshape&#39;: 49,
-              &#39;Pow&#39;: 25,
-              &#39;Sub&#39;: 25,
-              &#39;Split&#39;: 12,
-              &#39;MatMul&#39;: 72,
+             {&#39;MatMul&#39;: 72,
               &#39;Mul&#39;: 73,
+              &#39;Producer&#39;: 209,
+              &#39;Add&#39;: 159,
+              &#39;Gather&#39;: 1,
+              &#39;Erf&#39;: 12,
               &#39;Div&#39;: 49,
               &#39;Sqrt&#39;: 25,
-              &#39;Erf&#39;: 12,
-              &#39;Gather&#39;: 1,
+              &#39;Pow&#39;: 25,
+              &#39;Sub&#39;: 25,
+              &#39;ReduceMean&#39;: 50,
+              &#39;Reshape&#39;: 49,
               &#39;Transpose&#39;: 49,
               &#39;Softmax&#39;: 12,
-              &#39;Producer&#39;: 209,
+              &#39;Split&#39;: 12,
               &#39;Concat&#39;: 1,
               &#39;Conv2D&#39;: 1}),
  defaultdict(int, {}))
diff --git a/source/Tutorial/static_analysis.ipynb b/source/Tutorial/static_analysis.ipynb
index 90a90afa7fb48d3befddcb3b864c66e1aaff1977..46b23fcfbaf078ff525cfe7d31bd4df0de1b0527 100644
--- a/source/Tutorial/static_analysis.ipynb
+++ b/source/Tutorial/static_analysis.ipynb
@@ -27,10 +27,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:07.614394Z",
-     "iopub.status.busy": "2025-05-19T10:06:07.614173Z",
-     "iopub.status.idle": "2025-05-19T10:06:07.942795Z",
-     "shell.execute_reply": "2025-05-19T10:06:07.942431Z"
+     "iopub.execute_input": "2025-05-22T12:18:46.299502Z",
+     "iopub.status.busy": "2025-05-22T12:18:46.299411Z",
+     "iopub.status.idle": "2025-05-22T12:18:46.579565Z",
+     "shell.execute_reply": "2025-05-22T12:18:46.579251Z"
     }
    },
    "outputs": [],
@@ -62,10 +62,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:07.944418Z",
-     "iopub.status.busy": "2025-05-19T10:06:07.944240Z",
-     "iopub.status.idle": "2025-05-19T10:06:09.140130Z",
-     "shell.execute_reply": "2025-05-19T10:06:09.139860Z"
+     "iopub.execute_input": "2025-05-22T12:18:46.580933Z",
+     "iopub.status.busy": "2025-05-22T12:18:46.580787Z",
+     "iopub.status.idle": "2025-05-22T12:18:48.517009Z",
+     "shell.execute_reply": "2025-05-22T12:18:48.516710Z"
     }
    },
    "outputs": [
@@ -82,7 +82,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:   8%|â–Š         | 6.38M/82.7M [00:00<00:01, 66.9MB/s]"
+      "dinov2.onnx:   5%|▌         | 4.41M/82.7M [00:00<00:01, 46.1MB/s]"
      ]
     },
     {
@@ -90,7 +90,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  18%|█▊        | 14.6M/82.7M [00:00<00:00, 77.9MB/s]"
+      "dinov2.onnx:  11%|â–ˆ         | 8.80M/82.7M [00:00<00:01, 45.8MB/s]"
      ]
     },
     {
@@ -98,7 +98,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  27%|██▋       | 22.0M/82.7M [00:00<00:00, 77.8MB/s]"
+      "dinov2.onnx:  17%|█▋        | 13.8M/82.7M [00:00<00:01, 48.8MB/s]"
      ]
     },
     {
@@ -106,7 +106,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  38%|███▊      | 31.2M/82.7M [00:00<00:00, 85.0MB/s]"
+      "dinov2.onnx:  23%|██▎       | 18.6M/82.7M [00:00<00:01, 49.0MB/s]"
      ]
     },
     {
@@ -114,7 +114,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  48%|████▊     | 39.3M/82.7M [00:00<00:00, 80.7MB/s]"
+      "dinov2.onnx:  28%|██▊       | 23.3M/82.7M [00:00<00:01, 48.5MB/s]"
      ]
     },
     {
@@ -122,7 +122,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  57%|█████▋    | 47.1M/82.7M [00:00<00:00, 77.6MB/s]"
+      "dinov2.onnx:  34%|███▍      | 27.9M/82.7M [00:00<00:01, 48.1MB/s]"
      ]
     },
     {
@@ -130,7 +130,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  67%|██████▋   | 55.4M/82.7M [00:00<00:00, 80.4MB/s]"
+      "dinov2.onnx:  39%|███▉      | 32.5M/82.7M [00:00<00:01, 46.4MB/s]"
      ]
     },
     {
@@ -138,7 +138,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  77%|███████▋  | 63.3M/82.7M [00:00<00:00, 81.3MB/s]"
+      "dinov2.onnx:  45%|████▍     | 37.0M/82.7M [00:00<00:01, 45.6MB/s]"
      ]
     },
     {
@@ -146,7 +146,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx:  88%|████████▊ | 72.6M/82.7M [00:00<00:00, 86.2MB/s]"
+      "dinov2.onnx:  51%|█████     | 41.7M/82.7M [00:00<00:00, 46.4MB/s]"
      ]
     },
     {
@@ -154,7 +154,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx: 100%|█████████▉| 82.5M/82.7M [00:01<00:00, 91.3MB/s]"
+      "dinov2.onnx:  56%|█████▌    | 46.2M/82.7M [00:01<00:00, 44.7MB/s]"
      ]
     },
     {
@@ -162,7 +162,63 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "dinov2.onnx: 100%|██████████| 82.7M/82.7M [00:01<00:00, 84.0MB/s]"
+      "dinov2.onnx:  61%|██████    | 50.5M/82.7M [00:01<00:00, 42.6MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx:  66%|██████▌   | 54.6M/82.7M [00:01<00:00, 42.6MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx:  71%|███████   | 58.7M/82.7M [00:01<00:00, 41.9MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx:  76%|███████▋  | 63.2M/82.7M [00:01<00:00, 43.3MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx:  82%|████████▏ | 67.5M/82.7M [00:01<00:00, 43.3MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx:  87%|████████▋ | 71.6M/82.7M [00:01<00:00, 42.4MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx:  97%|█████████▋| 80.1M/82.7M [00:01<00:00, 56.1MB/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "dinov2.onnx: 100%|██████████| 82.7M/82.7M [00:01<00:00, 47.9MB/s]"
      ]
     },
     {
@@ -192,10 +248,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:09.141307Z",
-     "iopub.status.busy": "2025-05-19T10:06:09.141090Z",
-     "iopub.status.idle": "2025-05-19T10:06:09.311995Z",
-     "shell.execute_reply": "2025-05-19T10:06:09.311701Z"
+     "iopub.execute_input": "2025-05-22T12:18:48.518106Z",
+     "iopub.status.busy": "2025-05-22T12:18:48.518016Z",
+     "iopub.status.idle": "2025-05-22T12:18:48.670981Z",
+     "shell.execute_reply": "2025-05-22T12:18:48.670729Z"
     }
    },
    "outputs": [
@@ -230,21 +286,21 @@
      "data": {
       "text/plain": [
        "(defaultdict(int,\n",
-       "             {'Add': 159,\n",
-       "              'ReduceMean': 50,\n",
-       "              'Reshape': 49,\n",
-       "              'Pow': 25,\n",
-       "              'Sub': 25,\n",
-       "              'Split': 12,\n",
-       "              'MatMul': 72,\n",
+       "             {'MatMul': 72,\n",
        "              'Mul': 73,\n",
+       "              'Producer': 209,\n",
+       "              'Add': 159,\n",
+       "              'Gather': 1,\n",
+       "              'Erf': 12,\n",
        "              'Div': 49,\n",
        "              'Sqrt': 25,\n",
-       "              'Erf': 12,\n",
-       "              'Gather': 1,\n",
+       "              'Pow': 25,\n",
+       "              'Sub': 25,\n",
+       "              'ReduceMean': 50,\n",
+       "              'Reshape': 49,\n",
        "              'Transpose': 49,\n",
        "              'Softmax': 12,\n",
-       "              'Producer': 209,\n",
+       "              'Split': 12,\n",
        "              'Concat': 1,\n",
        "              'Conv2D': 1}),\n",
        " defaultdict(int, {}))"
@@ -276,10 +332,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:09.313100Z",
-     "iopub.status.busy": "2025-05-19T10:06:09.312974Z",
-     "iopub.status.idle": "2025-05-19T10:06:09.364354Z",
-     "shell.execute_reply": "2025-05-19T10:06:09.363976Z"
+     "iopub.execute_input": "2025-05-22T12:18:48.672266Z",
+     "iopub.status.busy": "2025-05-22T12:18:48.672107Z",
+     "iopub.status.idle": "2025-05-22T12:18:48.720257Z",
+     "shell.execute_reply": "2025-05-22T12:18:48.719970Z"
     }
    },
    "outputs": [],
@@ -327,10 +383,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:09.365608Z",
-     "iopub.status.busy": "2025-05-19T10:06:09.365393Z",
-     "iopub.status.idle": "2025-05-19T10:06:09.367647Z",
-     "shell.execute_reply": "2025-05-19T10:06:09.367431Z"
+     "iopub.execute_input": "2025-05-22T12:18:48.721369Z",
+     "iopub.status.busy": "2025-05-22T12:18:48.721094Z",
+     "iopub.status.idle": "2025-05-22T12:18:48.723349Z",
+     "shell.execute_reply": "2025-05-22T12:18:48.723138Z"
     }
    },
    "outputs": [
@@ -383,10 +439,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:09.368587Z",
-     "iopub.status.busy": "2025-05-19T10:06:09.368440Z",
-     "iopub.status.idle": "2025-05-19T10:06:09.374532Z",
-     "shell.execute_reply": "2025-05-19T10:06:09.374153Z"
+     "iopub.execute_input": "2025-05-22T12:18:48.724210Z",
+     "iopub.status.busy": "2025-05-22T12:18:48.724062Z",
+     "iopub.status.idle": "2025-05-22T12:18:48.729655Z",
+     "shell.execute_reply": "2025-05-22T12:18:48.729161Z"
     }
    },
    "outputs": [
@@ -513,10 +569,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:09.375638Z",
-     "iopub.status.busy": "2025-05-19T10:06:09.375493Z",
-     "iopub.status.idle": "2025-05-19T10:06:11.044850Z",
-     "shell.execute_reply": "2025-05-19T10:06:11.044455Z"
+     "iopub.execute_input": "2025-05-22T12:18:48.730685Z",
+     "iopub.status.busy": "2025-05-22T12:18:48.730515Z",
+     "iopub.status.idle": "2025-05-22T12:18:50.258172Z",
+     "shell.execute_reply": "2025-05-22T12:18:50.257907Z"
     }
    },
    "outputs": [
@@ -549,10 +605,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:11.046810Z",
-     "iopub.status.busy": "2025-05-19T10:06:11.046666Z",
-     "iopub.status.idle": "2025-05-19T10:06:11.053580Z",
-     "shell.execute_reply": "2025-05-19T10:06:11.053327Z"
+     "iopub.execute_input": "2025-05-22T12:18:50.260771Z",
+     "iopub.status.busy": "2025-05-22T12:18:50.260549Z",
+     "iopub.status.idle": "2025-05-22T12:18:50.267126Z",
+     "shell.execute_reply": "2025-05-22T12:18:50.266938Z"
     }
    },
    "outputs": [
@@ -588,10 +644,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:11.054502Z",
-     "iopub.status.busy": "2025-05-19T10:06:11.054406Z",
-     "iopub.status.idle": "2025-05-19T10:06:11.063533Z",
-     "shell.execute_reply": "2025-05-19T10:06:11.063196Z"
+     "iopub.execute_input": "2025-05-22T12:18:50.267983Z",
+     "iopub.status.busy": "2025-05-22T12:18:50.267816Z",
+     "iopub.status.idle": "2025-05-22T12:18:50.275900Z",
+     "shell.execute_reply": "2025-05-22T12:18:50.275702Z"
     }
    },
    "outputs": [],
@@ -612,16 +668,16 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:11.064622Z",
-     "iopub.status.busy": "2025-05-19T10:06:11.064369Z",
-     "iopub.status.idle": "2025-05-19T10:06:11.291630Z",
-     "shell.execute_reply": "2025-05-19T10:06:11.291317Z"
+     "iopub.execute_input": "2025-05-22T12:18:50.276741Z",
+     "iopub.status.busy": "2025-05-22T12:18:50.276586Z",
+     "iopub.status.idle": "2025-05-22T12:18:50.479153Z",
+     "shell.execute_reply": "2025-05-22T12:18:50.478746Z"
     }
    },
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -648,10 +704,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:11.292765Z",
-     "iopub.status.busy": "2025-05-19T10:06:11.292648Z",
-     "iopub.status.idle": "2025-05-19T10:06:12.238678Z",
-     "shell.execute_reply": "2025-05-19T10:06:12.238117Z"
+     "iopub.execute_input": "2025-05-22T12:18:50.480169Z",
+     "iopub.status.busy": "2025-05-22T12:18:50.480069Z",
+     "iopub.status.idle": "2025-05-22T12:18:51.338667Z",
+     "shell.execute_reply": "2025-05-22T12:18:51.338376Z"
     }
    },
    "outputs": [
diff --git a/source/Tutorial/tiling.html b/source/Tutorial/tiling.html
index 4ea182afe84494b2f511be34cc859278162c7709..442b138ef7ed28b3a386ca5b7d4f5cfb5babfcbd 100644
--- a/source/Tutorial/tiling.html
+++ b/source/Tutorial/tiling.html
@@ -583,7 +583,7 @@ True
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<img src="https://mermaid.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"/></div>
+<img src="https://mermaid.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"/></div>
 </div>
 <p>Now we run the transformed model and compare it’s ouput value to the previous one.</p>
 <div class="nbinput nblast docutils container">
diff --git a/source/Tutorial/tiling.ipynb b/source/Tutorial/tiling.ipynb
index b8325d72bb96448b79010b800d959dcb8c0147b5..c580abc5a15865f2a8e9e57ca03d7a6f60b4b2f0 100644
--- a/source/Tutorial/tiling.ipynb
+++ b/source/Tutorial/tiling.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:13.739825Z",
-     "iopub.status.busy": "2025-05-19T10:06:13.739573Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.063371Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.062983Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.681429Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.681285Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.963789Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.963481Z"
     }
    },
    "outputs": [],
@@ -47,10 +47,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.065335Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.065159Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.067670Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.067402Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.965265Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.965145Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.967252Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.967058Z"
     }
    },
    "outputs": [],
@@ -83,10 +83,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.068602Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.068480Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.070689Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.070442Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.968218Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.968140Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.970017Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.969821Z"
     }
    },
    "outputs": [],
@@ -105,10 +105,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.071549Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.071432Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.074561Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.074324Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.970828Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.970749Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.973448Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.973266Z"
     }
    },
    "outputs": [
@@ -141,10 +141,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.075442Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.075328Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.077436Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.077193Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.974280Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.974198Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.975971Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.975783Z"
     }
    },
    "outputs": [],
@@ -165,10 +165,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.078820Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.078700Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.081058Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.080813Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.976795Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.976719Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.978710Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.978518Z"
     }
    },
    "outputs": [],
@@ -186,10 +186,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.081870Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.081757Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.083966Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.083721Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.979533Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.979387Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.981281Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.981090Z"
     }
    },
    "outputs": [],
@@ -215,10 +215,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.084812Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.084701Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.086427Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.086190Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.981959Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.981883Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.983409Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.983220Z"
     }
    },
    "outputs": [],
@@ -238,10 +238,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.087234Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.087121Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.091948Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.091694Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.984111Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.983973Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.988796Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.988518Z"
     }
    },
    "outputs": [],
@@ -270,10 +270,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.092785Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.092671Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.095413Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.095168Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.990041Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.989859Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.992268Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.992077Z"
     }
    },
    "outputs": [
@@ -311,17 +311,17 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.096270Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.096151Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.098481Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.098247Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.993166Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.993086Z",
+     "iopub.status.idle": "2025-05-22T12:18:52.994991Z",
+     "shell.execute_reply": "2025-05-22T12:18:52.994796Z"
     }
    },
    "outputs": [
     {
      "data": {
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\"/>"
+       "<img src=\"https://mermaid.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\"/>"
       ],
       "text/plain": [
        "<IPython.core.display.Image object>"
@@ -348,10 +348,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.099260Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.099162Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.104690Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.104421Z"
+     "iopub.execute_input": "2025-05-22T12:18:52.995868Z",
+     "iopub.status.busy": "2025-05-22T12:18:52.995716Z",
+     "iopub.status.idle": "2025-05-22T12:18:53.000863Z",
+     "shell.execute_reply": "2025-05-22T12:18:53.000663Z"
     }
    },
    "outputs": [],
@@ -367,10 +367,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2025-05-19T10:06:14.105604Z",
-     "iopub.status.busy": "2025-05-19T10:06:14.105486Z",
-     "iopub.status.idle": "2025-05-19T10:06:14.107949Z",
-     "shell.execute_reply": "2025-05-19T10:06:14.107704Z"
+     "iopub.execute_input": "2025-05-22T12:18:53.001714Z",
+     "iopub.status.busy": "2025-05-22T12:18:53.001628Z",
+     "iopub.status.idle": "2025-05-22T12:18:53.003658Z",
+     "shell.execute_reply": "2025-05-22T12:18:53.003475Z"
     }
    },
    "outputs": [