{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A CNN Mnist Model" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Installing packages:\n", "\t.package(path: \"/home/ubuntu/fastai_docs/dev_swift/FastaiNotebook_05b_early_stopping\")\n", "\t\tFastaiNotebook_05b_early_stopping\n", "With SwiftPM flags: []\n", "Working in: /tmp/tmp6ykj4bvj\n", "Fetching https://github.com/mxcl/Path.swift\n", "Fetching https://github.com/JustHTTP/Just\n", "Completed resolution in 2.91s\n", "Cloning https://github.com/mxcl/Path.swift\n", "Resolving https://github.com/mxcl/Path.swift at 0.16.2\n", "Cloning https://github.com/JustHTTP/Just\n", "Resolving https://github.com/JustHTTP/Just at 0.7.1\n", "Compile Swift Module 'Just' (1 sources)\n", "Compile Swift Module 'Path' (9 sources)\n", "Compile Swift Module 'FastaiNotebook_05b_early_stopping' (9 sources)\n", "Compile Swift Module 'jupyterInstalledPackages' (1 sources)\n", "Linking ./.build/x86_64-unknown-linux/debug/libjupyterInstalledPackages.so\n", "Initializing Swift...\n", "Loading library...\n", "Installation complete!\n" ] } ], "source": [ "%install '.package(path: \"$cwd/FastaiNotebook_05b_early_stopping\")' FastaiNotebook_05b_early_stopping" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "('inline', 'module://ipykernel.pylab.backend_inline')\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import FastaiNotebook_05b_early_stopping\n", "%include \"EnableIPythonDisplay.swift\"\n", "IPythonDisplay.shell.enable_matplotlib(\"inline\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "// export\n", "import Path\n", "import TensorFlow\n", "import Python" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "let plt = Python.import(\"matplotlib.pyplot\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "let data = mnistDataBunch(flat: false, bs: 512)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Batch size: 512\r\n", "Example side size: 28\r\n", "Class count: 512\r\n" ] } ], "source": [ "let firstBatch = data.train.first(where: { _ in true })!\n", "let batchShape = firstBatch.xb.shape\n", "let batchSize = batchShape.dimensions[0]\n", "let exampleSideSize = batchShape.dimensions[1]\n", "assert(exampleSideSize == batchShape.dimensions[2])\n", "print(\"Batch size: \\(batchSize)\")\n", "print(\"Example side size: \\(exampleSideSize)\")\n", "\n", "let classCount = firstBatch.yb.shape.dimensions[0]\n", "print(\"Class count: \\(classCount)\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "//export \n", "public struct CnnModel: Layer {\n", " public var reshapeToSquare: Reshape\n", " public var conv1: FAConv2D\n", " public var conv2: FAConv2D\n", " public var conv3: FAConv2D\n", " public var conv4: FAConv2D\n", " public var pool = FAAvgPool2D(poolSize: (2, 2), strides: (1, 1)) //TODO: replace by AvgPool\n", " public var flatten = Flatten()\n", " public var linear: FADense\n", " \n", " public init(sizeIn: Int, channelIn:Int, channelOut:Int, nFilters:[Int]) {\n", " reshapeToSquare = Reshape([-1, Int32(sizeIn), Int32(sizeIn), Int32(channelIn)])\n", " conv1 = FAConv2D(\n", " filterShape: (5, 5, 1, nFilters[0]), \n", " strides: (2, 2), \n", " padding: .same, \n", " activation: relu)\n", " conv2 = FAConv2D(\n", " filterShape: (3, 3, nFilters[0], nFilters[1]),\n", " strides: (2, 2),\n", " padding: .same,\n", " activation: relu)\n", " conv3 = FAConv2D(\n", " filterShape: (3, 3, nFilters[1], nFilters[2]),\n", " strides: (2, 2),\n", " padding: .same,\n", " activation: relu)\n", " conv4 = FAConv2D(\n", " filterShape: (3, 3, nFilters[2], nFilters[3]),\n", " strides: (2, 2),\n", " padding: .same,\n", " activation: relu)\n", " linear = FADense(inputSize: nFilters[3], outputSize: channelOut)\n", " }\n", " \n", " @differentiable\n", " public func applied(to input: Tensor, in context: Context) -> Tensor {\n", " // There isn't a \"sequenced\" defined with enough layers.\n", " let intermediate = input.sequenced(\n", " in: context,\n", " through: reshapeToSquare, conv1, conv2, conv3, conv4)\n", " return intermediate.sequenced(in: context, through: pool, flatten, linear)\n", " }\n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "let model = CnnModel(sizeIn:28, channelIn: 1, channelOut: 10, nFilters: [8, 16, 32, 32])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TensorShape(dimensions: [512, 10])\r\n", "[ 0.007230411, -0.010739702, -0.03191483, 0.003506335, 0.008309381, -0.028648112,\r\n", " -0.021649, -0.020878375, 0.005120526, 0.01246003]\r\n" ] } ], "source": [ "// Test that data goes through the model as expected.\n", "let predictions = model.applied(to: firstBatch.xb, in: Context(learningPhase: .training))\n", "print(predictions.shape)\n", "print(predictions[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Compare training on CPU and GPU" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "let opt = SGD(learningRate: 0.4)\n", "func modelInit() -> CnnModel { return CnnModel(sizeIn:28, channelIn: 1, channelOut: 10, nFilters: [8, 16, 32, 32]) }\n", "let learner = Learner(data: data, lossFunction: softmaxCrossEntropy, optimizer: opt, initializingWith: modelInit)\n", "let recorder = learner.makeDefaultDelegates(metrics: [accuracy])\n", "learner.delegates.append(learner.makeNormalize(mean: mnistStats.mean, std: mnistStats.std))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 0: [0.34945536, 0.8948] \n", "22631.196462 ms \n" ] } ], "source": [ "// This happens on the GPU (if you have one and it's configured correctly).\n", "// I tried this on a GCE 8vCPU 30GB + Tesla P100:\n", "// - time: ~4.3s\n", "// - nvidia-smi shows ~10% GPU-Util while this is running\n", "time {\n", " try! learner.fit(1)\n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 0: [0.14942531, 0.9546] \n", "25278.844949 ms \n" ] } ], "source": [ "// This happens on the CPU.\n", "// I tried this on a GCE 8vCPU 30GB + Tesla P100:\n", "// - time: ~6.3s\n", "// - nvidia-smi shows 0% GPU-Util while this is running\n", "time {\n", " withDevice(.cpu) {\n", " try! learner.fit(1)\n", " }\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Collect Layer Activation Statistics" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class ActivationStatistics: LayerDelegate> {\n", " var activationMeans: [Float] = []\n", " var activationStds: [Float] = [] \n", " override func didProduceActivation(_ activation: Tensor, in context: Context) {\n", " guard context.learningPhase == .training else { return }\n", " activationMeans.append(activation.mean().scalar!)\n", " activationStds.append(activation.standardDeviation().reshaped(to: []).scalar!)\n", " }\n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "extension KeyPathIterable { \n", " mutating func initializeLayerDelegates(with initializer: () -> LayerDelegate) {\n", " for kp in recursivelyAllWritableKeyPaths(to: LayerDelegate.self) {\n", " self[keyPath: kp] = initializer()\n", " }\n", " }\n", " \n", " func layerDelegates>(havingType: D.Type) -> [D] {\n", " var result: [D] = []\n", " for kp in recursivelyAllWritableKeyPaths(to: LayerDelegate.self) {\n", " guard let d = self[keyPath: kp] as? D else { continue }\n", " result.append(d)\n", " }\n", " return result\n", " }\n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "let learner = Learner(data: data, lossFunction: softmaxCrossEntropy, optimizer: opt, initializingWith: modelInit)\n", "let recorder = learner.makeDefaultDelegates(metrics: [accuracy])\n", "\n", "learner.model.initializeLayerDelegates(with: { ActivationStatistics() })" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 0: [0.5438706, 0.8331] \n", "Epoch 1: [0.15849537, 0.9508] \n", "42425.841089 ms \n" ] } ], "source": [ "// This LayerDelegate stuff slows it down to ~6s/epoch.\n", "time {\n", " try! learner.fit(2)\n", "}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "None\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "let activationStatistics = learner.model.layerDelegates(havingType: ActivationStatistics.self)\n", "for stats in activationStatistics {\n", " plt.plot(stats.activationMeans)\n", "}\n", "plt.legend(Array(1...activationStatistics.count))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "None\n" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "for stats in activationStatistics {\n", " plt.plot(stats.activationStds)\n", "}\n", "plt.legend(Array(1...activationStatistics.count))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Export" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "notebookToScript(fname: (Path.cwd / \"06_cuda.ipynb\").string)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Swift", "language": "swift", "name": "swift" } }, "nbformat": 4, "nbformat_minor": 2 }