Latest version of notebook

flexible_inputs_only.ipynb

@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2b53abab",
+   "id": "dd7d796e",
    "metadata": {},
    "source": [
     "Checking whether setting flexible inputs is enough for model conversion to work, see https://github.com/apple/coremltools/issues/1806"
@@ -228,7 +228,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e6b2d0ef",
+   "id": "ee65ec32",
    "metadata": {},
    "source": [
     "Input shapes are already flexible. Let's check if outputs work fine after conversion."
@@ -341,7 +341,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "42284296",
+   "id": "206c41b0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -354,7 +354,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "cf38a414",
+   "id": "c14ffa7c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -364,7 +364,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "6557878c",
+   "id": "81fe194d",
    "metadata": {},
    "outputs": [
     {
@@ -384,15 +384,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b1949cf",
+   "id": "8a8b2010",
    "metadata": {},
    "source": [
-    "Works fine. Let's know test conversion without flexible inputs."
+    "Works fine. Let's now test conversion without flexible inputs."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "1c3f7b7d",
+   "id": "6b768a11",
    "metadata": {},
    "source": [
     "### Conversion with fixed shapes"
@@ -401,7 +401,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "e89c02c9",
+   "id": "8f1d57f9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -411,7 +411,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "4770599b",
+   "id": "6b7f06f3",
    "metadata": {},
    "outputs": [
     {
@@ -443,7 +443,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "9f979b44",
+   "id": "4c8f40bc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -453,7 +453,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "ba178554",
+   "id": "192df561",
    "metadata": {},
    "outputs": [
     {
@@ -479,7 +479,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "b3c1a2f0",
+   "id": "51e48285",
    "metadata": {},
    "outputs": [
     {
@@ -501,15 +501,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "733c6e2a",
+   "id": "00602d06",
    "metadata": {},
    "source": [
-    "Ok, it fails. Let's do conversion to neural network instead and see if it behaves the same."
+    "Ok, it fails as expected. Let's convert to neural network instead and see if it behaves the same."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "2186fdc1",
+   "id": "61997b06",
    "metadata": {},
    "source": [
     "### Neural Network Conversion"
@@ -517,7 +517,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a40d4319",
+   "id": "4d5ed549",
    "metadata": {},
    "source": [
     "Using flexible shapes. In order to convert to neural network we have to decrease the deployment target to `macOS11` (from `macOS13`)."
@@ -526,7 +526,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "id": "a52ff3ac",
+   "id": "5c7e9249",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -536,7 +536,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "id": "be5e7785",
+   "id": "4a611197",
    "metadata": {},
    "outputs": [
     {
@@ -568,7 +568,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "id": "3bfb5dd6",
+   "id": "ec7d7d6c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -578,7 +578,7 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "id": "8c14beef",
+   "id": "df16844f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -588,7 +588,7 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "id": "c52eeacb",
+   "id": "83dd359c",
    "metadata": {},
    "outputs": [
     {
@@ -606,7 +606,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d3613014",
+   "id": "f6661539",
    "metadata": {},
    "source": [
     "Seems to work."
@@ -614,7 +614,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "375e6eab",
+   "id": "0bbe7691",
    "metadata": {},
    "source": [
     "### Metadata"
@@ -622,7 +622,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f836c96a",
+   "id": "41953964",
    "metadata": {},
    "source": [
     "What does the converted model look like in Netron or Xcode? Let's export to ML Program."
@@ -631,7 +631,7 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "id": "9ea2c28a",
+   "id": "123ff055",
    "metadata": {},
    "outputs": [
     {
@@ -663,7 +663,7 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "id": "96bcc86b",
+   "id": "4486fd5d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -672,7 +672,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "489b28d2",
+   "id": "4246b382",
+   "metadata": {},
+   "source": [
+    "`xcode-bert-test.png`:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0678e157",
    "metadata": {},
    "source": [
     "![Xcode inputs](xcode-bert-test.png)"
@@ -681,7 +689,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "67a972a4",
+   "id": "e8329bba",
    "metadata": {},
    "outputs": [],
    "source": []