updates settings.init

m-gopichand · Aug 20, 2024 · d3930e7 · d3930e7
1 parent 352518a
commit d3930e7
Show file tree

Hide file tree

Showing 6 changed files with 29 additions and 5,214 deletions.
diff --git a/nbs/04_learner.ipynb b/nbs/04_learner.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "1b172ddd",
    "metadata": {},
    "outputs": [],
@@ -12,10 +12,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "7e8f8491",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'rapidai'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 12\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m optim\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfunctional\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mF\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mrapidai\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconv\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[1;32m     14\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mfastprogress\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m progress_bar,master_bar\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'rapidai'"
+     ]
+    }
+   ],
    "source": [
     "#|export\n",
     "import math,torch,matplotlib.pyplot as plt\n",
@@ -746,7 +758,7 @@
     "    order = MetricsCB.order+1\n",
     "    def __init__(self, plot=False): self.plot = plot\n",
     "    def before_fit(self, learn):\n",
-    "        learn.epochs = self.mbar = master_bar(learn.epochs)\n",
+    "        learn.epochs = self.mbar = master_bar(range(learn.epochs))\n",
     "        self.first = True\n",
     "        if hasattr(learn, 'metrics'): learn.metrics._log = self._log\n",
     "        self.losses = []\n",
@@ -1411,6 +1423,18 @@
    "display_name": "python3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

diff --git a/nbs/10_DDPM_v2.ipynb b/nbs/10_DDPM_v2.ipynb
@@ -1213,39 +1213,6 @@
     "learn.fit(epochs)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "95a1c653",
-   "metadata": {},
-   "source": [
-    "## A sneaky trick"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "86695482",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class MultDL:\n",
-    "    def __init__(self, dl, mult=2): self.dl,self.mult = dl,mult\n",
-    "    def __len__(self): return len(self.dl)*self.mult\n",
-    "    def __iter__(self):\n",
-    "        for o in self.dl:\n",
-    "            for i in range(self.mult): yield o"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "32255eaf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dls.train = MultDL(dls.train)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "79413643",
@@ -1263,14 +1230,6 @@
    "source": [
     "import nbdev; nbdev.nbdev_export()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f63b979b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {