added imports.py

nbs/09_augment.ipynb

@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4268,6 +4268,18 @@
    "display_name": "Python 3 (ipykernel)",
    "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,

nbs/12_diffusion-attn-cond.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,9 +28,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'rapidai.imports'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[3], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#| export\u001b[39;00m\n\u001b[0;32m----> 2\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;01mimports\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01meinops\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m rearrange\n\u001b[1;32m      5\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\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'rapidai.imports'"
+     ]
+    }
+   ],
    "source": [
     "#| export\n",
     "from rapidai.imports import *\n",
@@ -1740,6 +1752,18 @@
    "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"
+  },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
     "0abad3eee1904c2bb8a2f963fed5fba6": {

rapidai/imports.py

@@ -0,0 +1,27 @@
+import torch, random, datasets, math, fastcore.all as fc, numpy as np, matplotlib as mpl, matplotlib.pyplot as plt
+import torchvision.transforms as T
+import torchvision.transforms.functional as TF,torch.nn.functional as F
+
+from torch.utils.data import DataLoader,default_collate
+from pathlib import Path
+from torch import nn,tensor
+from torch.nn import init
+from fastcore.foundation import L
+from datasets import load_dataset
+from operator import itemgetter,attrgetter
+from functools import partial,wraps
+from torch.optim import lr_scheduler
+from torch import optim
+from torchvision.io import read_image,ImageReadMode
+
+from rapidai.datasets import *
+from rapidai.conv import *
+from rapidai.learner import *
+from rapidai.activations import *
+from rapidai.init import *
+from rapidai.sgd import *
+from rapidai.resnet import *
+from rapidai.augment import *
+from rapidai.accel import *
+from rapidai.training import *
+

rapidai/imports.py:Zone.Identifier

@@ -0,0 +1,3 @@
+[ZoneTransfer]
+ZoneId=3
+ReferrerUrl=C:\Users\mgopi\Downloads\course22p2-master (1).zip