Upload LoRA.ipynb

blog/multi-lora-serving/LoRA.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "substantial-impact",
+   "metadata": {},
+   "source": [
+    "# Welcome to Manim!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "11e0c778-c8bc-4972-8bc3-8dc929de6caa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from manim import *\n",
+    "\n",
+    "config.media_width = \"75%\"\n",
+    "config.verbosity = \"WARNING\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "antique-knock",
+   "metadata": {},
+   "source": [
+    "## LoRA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "f7875452-fdc2-4f5d-8da2-a333f2a82e64",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Manim Community <span style=\"color: #008000; text-decoration-color: #008000\">v0.18.1</span>\n",
+       "\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Manim Community \u001b[32mv0.\u001b[0m\u001b[32m18.1\u001b[0m\n",
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/09/24 14:46:08] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING </span> Output format set as webm, this can be slower than other formats         <a href=\"file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">utils.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py#1061\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1061</span></a>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m[06/09/24 14:46:08]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m Output format set as webm, this can be slower than other formats         \u001b]8;id=477302;file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py\u001b\\\u001b[2mutils.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=649502;file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py#1061\u001b\\\u001b[2m1061\u001b[0m\u001b]8;;\u001b\\\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                                                                                                      \r"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<video src=\"media/jupyter/LoRA@2024-06-09@14-47-19.webm\" controls autoplay loop style=\"max-width: 75%;\"  >\n",
+       "      Your browser does not support the <code>video</code> element.\n",
+       "    </video>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Video object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%manim -qm --format webm LoRA\n",
+    "\n",
+    "from manim import *\n",
+    "\n",
+    "class LoRA(Scene):\n",
+    "    def construct(self):\n",
+    "        text_rotation = PI/2\n",
+    "        # Create the input\n",
+    "        input_rect = Rectangle(width=1, height=4, color=GREEN).to_edge(LEFT)\n",
+    "        input_label = Tex(\"$x \\\\in \\\\mathbb{R}^{d}$\", color=WHITE).move_to(input_rect).rotate(text_rotation)\n",
+    "        \n",
+    "        # Create weights\n",
+    "        weights = Rectangle(width=3, height=3, color=BLUE).move_to(input_rect).shift(RIGHT*3.5).shift(UP*1.75)\n",
+    "        weights_label = Tex(\"$W \\\\in \\\\mathbb{R}^{d \\\\times d}$\", color=WHITE).move_to(weights)\n",
+    "        vector_d = Tex(\"$d$\", color=WHITE).next_to(weights, UP, buff=0.2)\n",
+    "\n",
+    "        # Create trapezoids\n",
+    "        trapezoid1 = Polygon([-2, 1, 0], [2, 1, 0], [0.5, -0.5, 0], [-0.5, -0.5, 0], color=ORANGE).rotate(PI/2).scale(0.7)\n",
+    "        trapezoid1.next_to(weights, DOWN, buff=0.5)\n",
+    "        trapezoid1.align_to(weights, LEFT)  \n",
+    "        trapezoid1_label = Tex(\"$A$\", color=WHITE).move_to(trapezoid1)\n",
+    "\n",
+    "        trapezoid2 = Polygon([-0.5, 0.5, 0], [0.5, 0.5, 0], [2, -1, 0], [-2, -1, 0], color=ORANGE).rotate(PI/2).scale(0.7)\n",
+    "        trapezoid2.next_to(trapezoid1, RIGHT, buff=0.5)\n",
+    "        trapezoid2.align_to(weights, RIGHT)  \n",
+    "        trapezoid2_label = Tex(\"$B$\", color=WHITE).move_to(trapezoid2)\n",
+    "        \n",
+    "        r_brace = Brace(Line([-0.5, 0.5, 0], [0.5, 0.5, 0]), color=GREY).rotate(PI/2).move_to(trapezoid1, RIGHT).shift(.3*RIGHT).scale(0.7)\n",
+    "        vector_r = Tex(\"$r$\", color=GREY).next_to(r_brace, RIGHT, buff=0.1)\n",
+    "        \n",
+    "        wx = Rectangle(width=1, height=3, color=PURPLE).move_to(weights, RIGHT).shift(2*RIGHT)\n",
+    "        wx_label = Tex(\"$Wx$\").move_to(wx)\n",
+    "        \n",
+    "        lorax = Rectangle(width=1, height=3, color=PURPLE).move_to(trapezoid2, RIGHT).shift(2*RIGHT)\n",
+    "        lorax_label = Tex(\"$BAx$\").move_to(lorax)\n",
+    "        \n",
+    "        h = Rectangle(width=1, height=4, color=RED).align_to(lorax, RIGHT).align_to(input_rect, DOWN).shift(2*RIGHT)\n",
+    "        h_label = Tex(\"$h$\").move_to(h)\n",
+    "\n",
+    "        # Arrows\n",
+    "        arrow_input_weights = Arrow(input_rect.get_right(), weights.get_left(), buff=0.1, color=GREY)\n",
+    "        arrow_weights_wx = Arrow(weights.get_right(), wx.get_left(), buff=0.1, color=GREY)\n",
+    "        arrow_input_matA = Arrow(input_rect.get_right(), trapezoid1.get_left(), buff=0.1, color=GREY)\n",
+    "        arrow_matB_BAx = Arrow(trapezoid2.get_right(), lorax.get_left(), buff=0.1, color=GREY)\n",
+    "        \n",
+    "        # Create Plus Sign\n",
+    "        vertical_line = Line(UP, DOWN, stroke_width=12, color=GREY)\n",
+    "        horizontal_line = Line(LEFT, RIGHT, stroke_width=12, color=GREY)\n",
+    "        plus_sign = VGroup(vertical_line, horizontal_line).scale(0.25)\n",
+    "        plus_sign.move_to(h, LEFT).shift(0.75*LEFT)\n",
+    "        \n",
+    "        # Legend Box\n",
+    "        legend_box = VGroup(\n",
+    "            Tex(\"input\", color=GREEN),\n",
+    "            Tex(\"frozen weights\", color=BLUE),\n",
+    "            Tex(\"low rank matrices\", color=ORANGE),\n",
+    "            Tex(\"activations\", color=PURPLE),\n",
+    "            Tex(\"output\", color=RED)\n",
+    "        ).arrange(DOWN, aligned_edge=LEFT, buff=0.1).scale(0.7)\n",
+    "        \n",
+    "        legend_background = Rectangle(width=legend_box.width+0.6, height=legend_box.height+0.6, stroke_color=GREY)\n",
+    "        legend_background.to_edge(RIGHT).to_edge(UP)\n",
+    "        legend_background.align_to(weights, UP)\n",
+    "        legend_box.move_to(legend_background.get_center())\n",
+    "\n",
+    "        # Adjust elements\n",
+    "        block_elements = [input_rect, weights, trapezoid1, trapezoid2, wx, lorax, h, legend_background]\n",
+    "        label_elements = [input_label, weights_label, trapezoid1_label, trapezoid2_label, wx_label, lorax_label, h_label, vector_r, r_brace, legend_box]\n",
+    "        arrow_elements = [arrow_input_weights, arrow_weights_wx, arrow_input_matA, arrow_matB_BAx, plus_sign]\n",
+    "        for element in block_elements + label_elements + arrow_elements:\n",
+    "            element.shift(0.2 * DOWN)\n",
+    "\n",
+    "        # Add title\n",
+    "        title = Text(\"LoRA Inference\", font_size=36, color=WHITE).to_edge(UP).shift(0.30*UP)\n",
+    "        block_elements += title\n",
+    "        \n",
+    "        # Animation for emphasis\n",
+    "        self.play(FadeIn(*block_elements), run_time=1/3)\n",
+    "        self.wait(1/3)\n",
+    "        \n",
+    "        # Animation for emphasis\n",
+    "        self.play(FadeIn(*label_elements), run_time=1/3)\n",
+    "        self.wait(1/3)\n",
+    "        \n",
+    "        # Animation for emphasis\n",
+    "        self.play(FadeIn(*arrow_elements), run_time=1/3)\n",
+    "        self.wait(1/3)\n",
+    "        \n",
+    "        # Explain LoRA\n",
+    "        explain_shift = 0.45\n",
+    "        explain = Tex(\"$A,B $\", \"$ \\\\in \\\\mathbb{R}^{d \\\\times r}$\", \" LoRA reduces an input to a low rank dim: \", \"$r$\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('$A,B $', ORANGE).set_color_by_tex('$r$', YELLOW)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        self.play(FadeIn(explain), vector_r.animate.set_color(YELLOW), r_brace.animate.set_color(YELLOW), run_time=1)\n",
+    "        self.play(Indicate(trapezoid1, rate_func=there_and_back), Indicate(trapezoid2, rate_func=there_and_back), Indicate(vector_r), Flash(r_brace), run_time=1)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), vector_r.animate.set_color(GREY), r_brace.animate.set_color(GREY), run_time=1)\n",
+    "        self.wait(0.5)\n",
+    "\n",
+    "        # Explain Wx\n",
+    "        explain = Tex(\"$Wx$\", \" is calculated from our \", \"input\", \" and our \", \"pre-trained weights\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('Wx', PURPLE).set_color_by_tex(\"input\", GREEN).set_color_by_tex(\"pre-trained weights\", BLUE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        self.play(FadeIn(explain), arrow_input_weights.animate.set_color(YELLOW), arrow_weights_wx.animate.set_color(YELLOW), run_time=1)\n",
+    "        self.play(Indicate(input_rect, rate_func=there_and_back), Indicate(weights, rate_func=there_and_back), Indicate(wx, rate_func=there_and_back), run_time=1)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), arrow_input_weights.animate.set_color(GREY), arrow_weights_wx.animate.set_color(GREY))\n",
+    "        self.wait(0.5)\n",
+    "        \n",
+    "        # Explain BAx\n",
+    "        explain = Tex(\"$BAx$\", \" is calculated from our \", \"input\", \" and our \", \"low-rank adapters\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('BAx', PURPLE).set_color_by_tex(\"input\", GREEN).set_color_by_tex(\"low-rank adapters\", ORANGE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        self.play(FadeIn(explain), arrow_input_matA.animate.set_color(YELLOW), arrow_matB_BAx.animate.set_color(YELLOW), run_time=1)\n",
+    "        self.play(Indicate(input_rect, rate_func=there_and_back), Indicate(trapezoid1, rate_func=there_and_back), Indicate(trapezoid2, rate_func=there_and_back), Indicate(lorax, rate_func=there_and_back), run_time=1)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), arrow_input_matA.animate.set_color(GREY), arrow_matB_BAx.animate.set_color(GREY))\n",
+    "        self.wait(0.5)\n",
+    "        \n",
+    "        # Explain h\n",
+    "        explain = Tex(\"$h=Wx + BAx$\", \" is the sum of \", \"$Wx$\", \" and \", \"$BAx$\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('$h=Wx + BAx$', RED).set_color_by_tex(\"$Wx$\", PURPLE).set_color_by_tex(\"$BAx$\", PURPLE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        self.play(FadeIn(explain), plus_sign.animate.set_color(YELLOW), run_time=1)\n",
+    "        self.play(Indicate(wx, rate_func=there_and_back), Indicate(lorax, rate_func=there_and_back), Indicate(h, rate_func=there_and_back), run_time=1)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), plus_sign.animate.set_color(GREY), run_time=1)\n",
+    "        self.wait(0.5)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "cbe45556-cbb0-47a1-8d21-f25ff1f4e0d3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Manim Community <span style=\"color: #008000; text-decoration-color: #008000\">v0.18.1</span>\n",
+       "\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "Manim Community \u001b[32mv0.\u001b[0m\u001b[32m18.1\u001b[0m\n",
+       "\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/09/24 14:47:19] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING </span> Output format set as webm, this can be slower than other formats         <a href=\"file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">utils.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py#1061\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">1061</span></a>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[2;36m[06/09/24 14:47:19]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m Output format set as webm, this can be slower than other formats         \u001b]8;id=998741;file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py\u001b\\\u001b[2mutils.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=978614;file:///home/user/miniconda/lib/python3.9/site-packages/manim/_config/utils.py#1061\u001b\\\u001b[2m1061\u001b[0m\u001b]8;;\u001b\\\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "                                                                                                                                                 \r"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<video src=\"media/jupyter/MultiLoRA@2024-06-09@14-48-45.webm\" controls autoplay loop style=\"max-width: 75%;\"  >\n",
+       "      Your browser does not support the <code>video</code> element.\n",
+       "    </video>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Video object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%manim -qm --format webm MultiLoRA\n",
+    "\n",
+    "from manim import *\n",
+    "\n",
+    "class MultiLoRA(Scene):\n",
+    "    def construct(self):\n",
+    "        # Add title\n",
+    "        title = Text(\"Multi-LoRA Inference\", font_size=36, color=WHITE).to_edge(UP).shift(0.30*UP)\n",
+    "        \n",
+    "        # Create the base input\n",
+    "        x_width = 2.5\n",
+    "        input_rect = Rectangle(width=x_width, height=2, color=GREEN).to_edge(LEFT, buff=0.5)\n",
+    "        input_label = Tex(\"$x$\", color=WHITE).move_to(input_rect)\n",
+    "\n",
+    "        # Create W matrix rectangle\n",
+    "        w_rect = Rectangle(width=2.25, height=2.25, color=BLUE).next_to(input_rect, RIGHT, buff=1.25).shift(1.25*UP)\n",
+    "        w_label = Text(\"W\", color=WHITE).scale(0.75).move_to(w_rect)\n",
+    "\n",
+    "        # Create batched inputs for weight multiplication\n",
+    "        x1_w = Rectangle(width=x_width, height=0.75, color=GREEN).next_to(w_rect, RIGHT, buff=1.125).shift(0.75*UP)\n",
+    "        x1_w_label = Tex(\"$x_1$\", color=WHITE).move_to(x1_w)\n",
+    "        x2_w = Rectangle(width=x_width, height=1.25, color=GREEN).next_to(x1_w, DOWN)\n",
+    "        x2_w_label = Tex(\"$x_2$\", color=WHITE).move_to(x2_w)\n",
+    "\n",
+    "        # Create LoRA computation blocks\n",
+    "        l1_rect = Rectangle(width=2.25, height=1, color=ORANGE).next_to(input_rect, RIGHT, buff=1.25).shift(1.25*DOWN)\n",
+    "        l1_label = Tex(\"$B_1 * A_1$\", color=WHITE).scale(0.75).move_to(l1_rect)\n",
+    "        l2_rect = Rectangle(width=2.25, height=1, color=ORANGE).next_to(l1_rect, DOWN)\n",
+    "        l2_label = Tex(\"$B_2 * A_2$\", color=WHITE).scale(0.75).move_to(l2_rect)\n",
+    "        \n",
+    "        x1_l = Rectangle(width=x_width, height=0.75, color=GREEN).next_to(l1_rect, RIGHT, buff=1.125).align_to(l1_rect, UP)\n",
+    "        x1_l_label = Tex(\"$x_1$\", color=WHITE).move_to(x1_l)\n",
+    "        x2_l = Rectangle(width=x_width, height=1.25, color=GREEN).next_to(x1_l, DOWN)\n",
+    "        x2_l_label = Tex(\"$x_2$\", color=WHITE).move_to(x2_l)\n",
+    "\n",
+    "        # Grouping boxes\n",
+    "        group_box_w = SurroundingRectangle(VGroup(x1_w, x2_w, w_rect), color=GREY, buff=0.1)\n",
+    "        group_box_l = SurroundingRectangle(VGroup(x1_l, x2_l, l1_rect, l2_rect), color=GREY, buff=0.1)\n",
+    "\n",
+    "        # Labels for Grouping Boxes\n",
+    "        group_box_w_label = Text(\"Batched Base Computation\", font_size=24, color=GREY).next_to(group_box_w, UP, buff=0.1)\n",
+    "        group_box_l_label = Text(\"Batched LoRA Computation\", font_size=24, color=GREY).next_to(group_box_l, UP, buff=0.1)\n",
+    "\n",
+    "        # Create Multiplication Sign\n",
+    "        times_x = (x2_w.get_left()[0] + w_rect.get_right()[0]) / 2\n",
+    "        times_sign_w = self.create_multiplication_sign(w_rect.get_center()).set_x(times_x)\n",
+    "        times_sign_l = self.create_multiplication_sign(VGroup(l1_rect, l2_rect).get_center()).set_x(times_x)\n",
+    "        \n",
+    "        # Output\n",
+    "        output_rect = Rectangle(width=x_width, height=2, color=RED).to_edge(RIGHT, buff=0.5)\n",
+    "        output_label = Tex(\"$h$\", color=WHITE).move_to(output_rect)\n",
+    "        \n",
+    "        # Create Plus Sign\n",
+    "        plus_x = (group_box_w.get_right()[0] + output_rect.get_left()[0]) / 2\n",
+    "        plus_sign = self.create_plus_sign(output_rect.get_center()).set_x(plus_x)\n",
+    "        \n",
+    "        # Create Arrows\n",
+    "        arrow_input_weights = Arrow(input_rect.get_right(), group_box_w.get_left(), buff=0.1, color=GREY)\n",
+    "        arrow_input_lora = Arrow(input_rect.get_right(), group_box_l.get_left(), buff=0.1, color=GREY)\n",
+    "        \n",
+    "        # Grouping elements\n",
+    "        block_elements = [input_rect, x1_w, x2_w, w_rect, x1_l, x2_l, l1_rect, l2_rect, output_rect]\n",
+    "        label_elements = [input_label, x1_w_label, x2_w_label, w_label, x1_l_label, x2_l_label, l1_label, l2_label, output_label]\n",
+    "        arrow_elements = [arrow_input_weights, arrow_input_lora]\n",
+    "        sign_elements = [times_sign_w, times_sign_l, plus_sign]\n",
+    "        group_box_elements = [group_box_w, group_box_l, group_box_w_label, group_box_l_label]\n",
+    "        \n",
+    "        # Fade in elements\n",
+    "        self.play(FadeIn(title), run_time=1/3)\n",
+    "        self.play(*[FadeIn(element) for element in block_elements + label_elements], run_time=1/3)\n",
+    "        self.play(*[FadeIn(element) for element in arrow_elements], run_time=1/3)\n",
+    "        self.play(*[FadeIn(element) for element in sign_elements], run_time=1/3)\n",
+    "        self.play(*[FadeIn(element) for element in group_box_elements], run_time=1/3)\n",
+    "\n",
+    "        # Explain LoRA\n",
+    "        explain_shift = 0.3\n",
+    "        \n",
+    "        explain = Tex(\"$x$\", \" is a heterogeneous batch of \", \"inputs\", \" to different \", \" LoRA adapters\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('$x$', GREEN).set_color_by_tex('inputs', GREEN).set_color_by_tex(' LoRA adapters', ORANGE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        x_elements = [x1_w, x2_w, x1_l, x2_l]\n",
+    "        self.play(FadeIn(explain), run_time=2/3)\n",
+    "        self.play(Indicate(input_rect), run_time=2/3)\n",
+    "        self.play(*[Indicate(arrow_element, rate_func=there_and_back) for arrow_element in arrow_elements], run_time=2/3)\n",
+    "        self.play(*[Indicate(x_element, rate_func=there_and_back) for x_element in x_elements], run_time=1)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), run_time=1)\n",
+    "        self.wait(0.5)\n",
+    "\n",
+    "        # Explain Wx\n",
+    "        explain = Tex(\"Batched Base Computation\", \" = \", \"frozen weights\", \" $*$ \", \"input\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('input', GREEN).set_color_by_tex('frozen weights', BLUE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        x_elements = [x1_w, x2_w]\n",
+    "        self.play(FadeIn(explain), group_box_w.animate.set_color(YELLOW), group_box_w_label.animate.set_color(YELLOW), run_time=1)\n",
+    "        self.play(Indicate(w_rect), run_time=0.5)\n",
+    "        self.play(Indicate(times_sign_w), run_time=0.5)\n",
+    "        self.play(*[Indicate(x_element, rate_func=there_and_back) for x_element in x_elements], run_time=0.5)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), group_box_w.animate.set_color(GREY), group_box_w_label.animate.set_color(GREY), run_time=1)\n",
+    "        self.wait(0.5)\n",
+    "\n",
+    "        # Explain BAx\n",
+    "        explain = Tex(\"Batched LoRA Computation\", \" = \", \"LoRA adapters\", \" $*$ \", \"input\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex('input', GREEN).set_color_by_tex('LoRA adapters', ORANGE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        x_elements = [x1_l, x2_l]\n",
+    "        l_elements = [l1_rect, l2_rect]\n",
+    "        self.play(FadeIn(explain), group_box_l.animate.set_color(YELLOW), group_box_l_label.animate.set_color(YELLOW), run_time=1)\n",
+    "        self.play(*[Indicate(l_element, rate_func=there_and_back) for l_element in l_elements], run_time=0.5)\n",
+    "        self.play(Indicate(times_sign_l), run_time=0.5)\n",
+    "        self.play(*[Indicate(x_element, rate_func=there_and_back) for x_element in x_elements], run_time=0.5)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain), group_box_l.animate.set_color(GREY), group_box_l_label.animate.set_color(GREY), run_time=1)\n",
+    "        self.wait(0.5)\n",
+    "\n",
+    "        # Explain Output\n",
+    "        explain = Tex(\"$h$\", \" = \", \"Batched Base Computation\", \" + \", \"Batched LoRA Computation\", color=WHITE)\n",
+    "        explain = explain.set_color_by_tex(\"$h$\", RED).set_color_by_tex('Batched Base Computation', BLUE).set_color_by_tex('Batched LoRA Computation', ORANGE)\n",
+    "        explain = explain.to_edge(DOWN).shift(explain_shift*DOWN)\n",
+    "        x_elements = [x1_l, x2_l]\n",
+    "        l_elements = [l1_rect, l2_rect]\n",
+    "        self.play(FadeIn(explain),group_box_w.animate.set_color(BLUE), group_box_w_label.animate.set_color(BLUE), group_box_l.animate.set_color(ORANGE), group_box_l_label.animate.set_color(ORANGE), run_time=1)\n",
+    "        self.play(Indicate(output_rect), run_time=0.5)\n",
+    "        self.play(Indicate(VGroup(group_box_w, group_box_w_label)), run_time=0.5)\n",
+    "        self.play(Indicate(plus_sign), run_time=0.5)\n",
+    "        self.play(Indicate(VGroup(group_box_l, group_box_l_label)), run_time=0.5)\n",
+    "        self.wait(1)\n",
+    "        self.play(FadeOut(explain),group_box_w.animate.set_color(GREY), group_box_w_label.animate.set_color(GREY), group_box_l.animate.set_color(GREY), group_box_l_label.animate.set_color(GREY), run_time=1)\n",
+    "        self.wait(0.5)\n",
+    "\n",
+    "    def create_multiplication_sign(self, position):\n",
+    "        vertical_line = Line(UP*0.5 + LEFT*0.5, DOWN*0.5 + RIGHT*0.5, stroke_width=12, color=GREY)\n",
+    "        horizontal_line = Line(UP*0.5 + RIGHT*0.5, DOWN*0.5 + LEFT*0.5, stroke_width=12, color=GREY)\n",
+    "        times_sign = VGroup(vertical_line, horizontal_line).scale(0.25)\n",
+    "        times_sign.move_to(position)\n",
+    "        return times_sign\n",
+    "\n",
+    "    def create_plus_sign(self, position):\n",
+    "        vertical_line = Line(UP, DOWN, stroke_width=12, color=GREY)\n",
+    "        horizontal_line = Line(LEFT, RIGHT, stroke_width=12, color=GREY)\n",
+    "        plus_sign = VGroup(vertical_line, horizontal_line).scale(0.25)\n",
+    "        plus_sign.move_to(position)\n",
+    "        return plus_sign\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afdd5793-1466-4d05-b3e5-e926cf509e9f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}