Automated tutorials push

Author: pytorchbot

_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fdce4293",
+   "id": "fd7b9d2d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "78767370",
+   "id": "46c9b1d1",
    "metadata": {},
    "source": [
     "\n",

_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb

@@ -31,7 +31,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "955e3d8b",
+   "id": "cbdc2894",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "874caf0b",
+   "id": "a6876e37",
    "metadata": {},
    "source": [
     "\n",

_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "51b4a53f",
+   "id": "077f87e9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0d763fd9",
+   "id": "552e9b60",
    "metadata": {},
    "source": [
     "\n",

_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "02f00a20",
+   "id": "9a3fe3ca",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3f3f7ecc",
+   "id": "eb3a0ab0",
    "metadata": {},
    "source": [
     "\n",

_downloads/9878ff22933dc5322c65087cfef530a2/python_custom_ops.ipynb

@@ -162,7 +162,10 @@
     "def _(pic, box):\n",
     "    channels = pic.shape[0]\n",
     "    x0, y0, x1, y1 = box\n",
-    "    return pic.new_empty(channels, y1 - y0, x1 - x0)"
+    "    result = pic.new_empty(y1 - y0, x1 - x0, channels).permute(2, 0, 1)\n",
+    "    # The result should have the same metadata (shape/strides/``dtype``/device)\n",
+    "    # as running the ``crop`` function above.\n",
+    "    return result"
    ]
   },
   {

_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb

@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ebb64dd7",
+   "id": "9416f772",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7bf25b6",
+   "id": "2fcf8bbd",
    "metadata": {},
    "source": [
     "\n",

_downloads/ce0cb1cce555cead1bcaba8a6d337c6f/python_custom_ops.py

@@ -112,7 +112,10 @@ def crop(pic: torch.Tensor, box: Sequence[int]) -> torch.Tensor:
 def _(pic, box):
     channels = pic.shape[0]
     x0, y0, x1, y1 = box
-    return pic.new_empty(channels, y1 - y0, x1 - x0)
+    result = pic.new_empty(y1 - y0, x1 - x0, channels).permute(2, 0, 1)
+    # The result should have the same metadata (shape/strides/``dtype``/device)
+    # as running the ``crop`` function above.
+    return result
 
 ######################################################################
 # After this, ``crop`` now works without graph breaks:

_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c29ff41f",
+   "id": "a88c8a4e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a1c48700",
+   "id": "95a37240",
    "metadata": {},
    "source": [
     "\n",

_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2220505b",
+   "id": "07b323fb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "59c306b3",
+   "id": "def99fa8",
    "metadata": {},
    "source": [
     "\n",

_downloads/fe726e041160526cf828806536922cf6/modelsyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "390e2a3b",
+   "id": "bd934e01",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e441c9cb",
+   "id": "32100206",
    "metadata": {},
    "source": [
     "\n",