{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#| include: false\n", "! [ -e /content ] && pip install -Uqq fastbook\n", "import fastbook\n", "fastbook.setup_book()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#| include: false\n", "from fastbook import *\n", "from IPython.display import display,HTML" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Data Munging with fastai's Mid-Level API {#sec-midlevel-data}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have seen what `Tokenizer` and `Numericalize` do to a collection of texts, and how they're used inside the data block API, which handles those transforms for us directly using the `TextBlock`. But what if we want to only apply one of those transforms, either to see intermediate results or because we have already tokenized texts? More generally, what can we do when the data block API is not flexible enough to accommodate our particular use case? For this, we need to use fastai's *mid-level API* for processing data. The data block API is built on top of that layer, so it will allow you to do everything the data block API does, and much much more." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Going Deeper into fastai's Layered API" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The fastai library is built on a *layered API*. In the very top layer there are *applications* that allow us to train a model in five lines of codes, as we saw in @sec-intro. In the case of creating `DataLoaders` for a text classifier, for instance, we used the line:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from fastai.text.all import *\n", "\n", "dls = TextDataLoaders.from_folder(untar_data(URLs.IMDB), valid='test')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The factory method `TextDataLoaders.from_folder` is very convenient when your data is arranged the exact same way as the IMDb dataset, but in practice, that often won't be the case. The data block API offers more flexibility. As we saw in the last chapter, we can get the same result with:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "path = untar_data(URLs.IMDB)\n", "dls = DataBlock(\n", " blocks=(TextBlock.from_folder(path),CategoryBlock),\n", " get_y = parent_label,\n", " get_items=partial(get_text_files, folders=['train', 'test']),\n", " splitter=GrandparentSplitter(valid_name='test')\n", ").dataloaders(path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "But it's sometimes not flexible enough. For debugging purposes, for instance, we might need to apply just parts of the transforms that come with this data block. Or we might want to create a `DataLoaders` for some application that isn't directly supported by fastai. In this section, we'll dig into the pieces that are used inside fastai to implement the data block API. Understanding these will enable you to leverage the power and flexibility of this mid-tier API." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> note: Mid-Level API: The mid-level API does not only contain functionality for creating `DataLoaders`. It also has the _callback_ system, which allows us to customize the training loop any way we like, and the _general optimizer_. Both will be covered in @sec-accel-sgd." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Transforms" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When we studied tokenization and numericalization in the last chapter, we started by grabbing a bunch of texts:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "files = get_text_files(path, folders = ['train', 'test'])\n", "txts = L(o.open().read() for o in files[:2000])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We then showed how to tokenize them with a `Tokenizer`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(#374) ['xxbos','xxmaj','well',',','\"','cube','\"','(','1997',')'...]" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tok = Tokenizer.from_folder(path)\n", "tok.setup(txts)\n", "toks = txts.map(tok)\n", "toks[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "and how to numericalize, including automatically creating the vocab for our corpus:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tensor([ 2, 8, 76, 10, 23, 3112, 23, 34, 3113, 33])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "num = Numericalize()\n", "num.setup(toks)\n", "nums = toks.map(num)\n", "nums[0][:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The classes also have a `decode` method. For instance, `Numericalize.decode` gives us back the string tokens:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(#10) ['xxbos','xxmaj','well',',','\"','cube','\"','(','1997',')']" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nums_dec = num.decode(nums[0][:10]); nums_dec" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "and `Tokenizer.decode` turns this back into a single string (it may not, however, be exactly the same as the original string; this depends on whether the tokenizer is *reversible*, which the default word tokenizer is not at the time we're writing this book):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'xxbos xxmaj well , \" cube \" ( 1997 )'" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tok.decode(nums_dec)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`decode` is used by fastai's `show_batch` and `show_results`, as well as some other inference methods, to convert predictions and mini-batches into a human-understandable representation.\n", "\n", "For each of `tok` or `num` in the preceding example, we created an object, called the `setup` method (which trains the tokenizer if needed for `tok` and creates the vocab for `num`), applied it to our raw texts (by calling the object as a function), and then finally decoded the result back to an understandable representation. These steps are needed for most data preprocessing tasks, so fastai provides a class that encapsulates them. This is the `Transform` class. Both `Tokenize` and `Numericalize` are `Transform`s.\n", "\n", "In general, a `Transform` is an object that behaves like a function and has an optional `setup` method that will initialize some inner state (like the vocab inside `num`) and an optional `decode` that will reverse the function (this reversal may not be perfect, as we saw with `tok`).\n", "\n", "A good example of `decode` is found in the `Normalize` transform that we saw in @sec-sizing-and-tta: to be able to plot the images its `decode` method undoes the normalization (i.e., it multiplies by the standard deviation and adds back the mean). On the other hand, data augmentation transforms do not have a `decode` method, since we want to show the effects on images to make sure the data augmentation is working as we want.\n", "\n", "A special behavior of `Transform`s is that they always get applied over tuples. In general, our data is always a tuple `(input,target)` (sometimes with more than one input or more than one target). When applying a transform on an item like this, such as `Resize`, we don't want to resize the tuple as a whole; instead, we want to resize the input (if applicable) and the target (if applicable) separately. It's the same for batch transforms that do data augmentation: when the input is an image and the target is a segmentation mask, the transform needs to be applied (the same way) to the input and the target.\n", "\n", "We can see this behavior if we pass a tuple of texts to `tok`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((#374) ['xxbos','xxmaj','well',',','\"','cube','\"','(','1997',')'...],\n", " (#207) ['xxbos','xxmaj','conrad','xxmaj','hall','went','out','with','a','bang'...])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tok((txts[0], txts[1]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Writing Your Own Transform" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you want to write a custom transform to apply to your data, the easiest way is to write a function. As you can see in this example, a `Transform` will only be applied to a matching type, if a type is provided (otherwise it will always be applied). In the following code, the `:int` in the function signature means that `f` only gets applied to `int`s. That's why `tfm(2.0)` returns `2.0`, but `tfm(2)` returns `3` here:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3, 2.0)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def f(x:int): return x+1\n", "tfm = Transform(f)\n", "tfm(2),tfm(2.0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, `f` is converted to a `Transform` with no `setup` and no `decode` method.\n", "\n", "Python has a special syntax for passing a function (like `f`) to another function (or something that behaves like a function, known as a *callable* in Python), called a *decorator*. A decorator is used by prepending a callable with `@` and placing it before a function definition (there are lots of good online tutorials about Python decorators, so take a look at one if this is a new concept for you). The following is identical to the previous code:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3, 2.0)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "@Transform\n", "def f(x:int): return x+1\n", "f(2),f(2.0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you need either `setup` or `decode`, you will need to subclass `Transform` to implement the actual encoding behavior in `encodes`, then (optionally), the setup behavior in `setups` and the decoding behavior in `decodes`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class NormalizeMean(Transform):\n", " def setups(self, items): self.mean = sum(items)/len(items)\n", " def encodes(self, x): return x-self.mean\n", " def decodes(self, x): return x+self.mean" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, `NormalizeMean` will initialize some state during the setup (the mean of all elements passed), then the transformation is to subtract that mean. For decoding purposes, we implement the reverse of that transformation by adding the mean. Here is an example of `NormalizeMean` in action:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3.0, -1.0, 2.0)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tfm = NormalizeMean()\n", "tfm.setup([1,2,3,4,5])\n", "start = 2\n", "y = tfm(start)\n", "z = tfm.decode(y)\n", "tfm.mean,y,z" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the method called and the method implemented are different, for each of these methods:\n", "\n", "```asciidoc\n", "[options=\"header\"]\n", "|======\n", "| Class | To call | To implement\n", "| `nn.Module` (PyTorch) | `()` (i.e., call as function) | `forward`\n", "| `Transform` | `()` | `encodes`\n", "| `Transform` | `decode()` | `decodes`\n", "| `Transform` | `setup()` | `setups`\n", "|======\n", "```\n", "\n", "So, for instance, you would never call `setups` directly, but instead would call `setup`. The reason for this is that `setup` does some work before and after calling `setups` for you. To learn more about `Transform`s and how you can use them to implement different behavior depending on the type of the input, be sure to check the tutorials in the fastai docs." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Pipeline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To compose several transforms together, fastai provides the `Pipeline` class. We define a `Pipeline` by passing it a list of `Transform`s; it will then compose the transforms inside it. When you call `Pipeline` on an object, it will automatically call the transforms inside, in order:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tensor([ 2, 8, 76, 10, 23, 3112, 23, 34, 3113, 33, 10, 8, 4477, 22, 88, 32, 10, 27, 42, 14])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tfms = Pipeline([tok, num])\n", "t = tfms(txts[0]); t[:20]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And you can call `decode` on the result of your encoding, to get back something you can display and analyze:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'xxbos xxmaj well , \" cube \" ( 1997 ) , xxmaj vincenzo \\'s first movie , was one of the most interesti'" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tfms.decode(t)[:100]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The only part that doesn't work the same way as in `Transform` is the setup. To properly set up a `Pipeline` of `Transform`s on some data, you need to use a `TfmdLists`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## TfmdLists and Datasets: Transformed Collections" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Your data is usually a set of raw items (like filenames, or rows in a DataFrame) to which you want to apply a succession of transformations. We just saw that a succession of transformations is represented by a `Pipeline` in fastai. The class that groups together this `Pipeline` with your raw items is called `TfmdLists`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### TfmdLists" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is the short way of doing the transformation we saw in the previous section:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "tls = TfmdLists(files, [Tokenizer.from_folder(path), Numericalize])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At initialization, the `TfmdLists` will automatically call the `setup` method of each `Transform` in order, providing them not with the raw items but the items transformed by all the previous `Transform`s in order. We can get the result of our `Pipeline` on any raw element just by indexing into the `TfmdLists`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tensor([ 2, 8, 91, 11, 22, 5793, 22, 37, 4910, 34, 11, 8, 13042, 23, 107, 30, 11, 25, 44, 14])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "t = tls[0]; t[:20]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And the `TfmdLists` knows how to decode for show purposes:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'xxbos xxmaj well , \" cube \" ( 1997 ) , xxmaj vincenzo \\'s first movie , was one of the most interesti'" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tls.decode(t)[:100]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In fact, it even has a `show` method:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "xxbos xxmaj well , \" cube \" ( 1997 ) , xxmaj vincenzo 's first movie , was one of the most interesting and tricky ideas that xxmaj i 've ever seen when talking about movies . xxmaj they had just one scenery , a bunch of actors and a plot . xxmaj so , what made it so special were all the effective direction , great dialogs and a bizarre condition that characters had to deal like rats in a labyrinth . xxmaj his second movie , \" cypher \" ( 2002 ) , was all about its story , but it was n't so good as \" cube \" but here are the characters being tested like rats again . \n", "\n", " \" nothing \" is something very interesting and gets xxmaj vincenzo coming back to his ' cube days ' , locking the characters once again in a very different space with no time once more playing with the characters like playing with rats in an experience room . xxmaj but instead of a thriller sci - fi ( even some of the promotional teasers and trailers erroneous seemed like that ) , \" nothing \" is a loose and light comedy that for sure can be called a modern satire about our society and also about the intolerant world we 're living . xxmaj once again xxmaj xxunk amaze us with a great idea into a so small kind of thing . 2 actors and a blinding white scenario , that 's all you got most part of time and you do n't need more than that . xxmaj while \" cube \" is a claustrophobic experience and \" cypher \" confusing , \" nothing \" is completely the opposite but at the same time also desperate . \n", "\n", " xxmaj this movie proves once again that a smart idea means much more than just a millionaire budget . xxmaj of course that the movie fails sometimes , but its prime idea means a lot and offsets any flaws . xxmaj there 's nothing more to be said about this movie because everything is a brilliant surprise and a totally different experience that i had in movies since \" cube \" .\n" ] } ], "source": [ "tls.show(t)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `TfmdLists` is named with an \"s\" because it can handle a training and a validation set with a `splits` argument. You just need to pass the indices of which elements are in the training set, and which are in the validation set:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "cut = int(len(files)*0.8)\n", "splits = [list(range(cut)), list(range(cut,len(files)))]\n", "tls = TfmdLists(files, [Tokenizer.from_folder(path), Numericalize], \n", " splits=splits)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can then access them through the `train` and `valid` attributes:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tensor([ 2, 8, 20, 30, 87, 510, 1570, 12, 408, 379, 4196, 10, 8, 20, 30, 16, 13, 12216, 202, 509])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tls.valid[0][:20]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you have manually written a `Transform` that performs all of your preprocessing at once, turning raw items into a tuple with inputs and targets, then `TfmdLists` is the class you need. You can directly convert it to a `DataLoaders` object with the `dataloaders` method. This is what we will do in our Siamese example later in this chapter.\n", "\n", "In general, though, you will have two (or more) parallel pipelines of transforms: one for processing your raw items into inputs and one to process your raw items into targets. For instance, here, the pipeline we defined only processes the raw text into inputs. If we want to do text classification, we also have to process the labels into targets. \n", "\n", "For this we need to do two things. First we take the label name from the parent folder. There is a function, `parent_label`, for this:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(#50000) ['pos','pos','pos','pos','pos','pos','pos','pos','pos','pos'...]" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lbls = files.map(parent_label)\n", "lbls" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then we need a `Transform` that will grab the unique items and build a vocab with them during setup, then transform the string labels into integers when called. fastai provides this for us; it's called `Categorize`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((#2) ['neg','pos'], TensorCategory(1))" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cat = Categorize()\n", "cat.setup(lbls)\n", "cat.vocab, cat(lbls[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To do the whole setup automatically on our list of files, we can create a `TfmdLists` as before:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "TensorCategory(1)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tls_y = TfmdLists(files, [parent_label, Categorize()])\n", "tls_y[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "But then we end up with two separate objects for our inputs and targets, which is not what we want. This is where `Datasets` comes to the rescue." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Datasets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`Datasets` will apply two (or more) pipelines in parallel to the same raw object and build a tuple with the result. Like `TfmdLists`, it will automatically do the setup for us, and when we index into a `Datasets`, it will return us a tuple with the results of each pipeline:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x_tfms = [Tokenizer.from_folder(path), Numericalize]\n", "y_tfms = [parent_label, Categorize()]\n", "dsets = Datasets(files, [x_tfms, y_tfms])\n", "x,y = dsets[0]\n", "x[:20],y" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Like a `TfmdLists`, we can pass along `splits` to a `Datasets` to split our data between training and validation sets:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(tensor([ 2, 8, 20, 30, 87, 510, 1570, 12, 408, 379, 4196, 10, 8, 20, 30, 16, 13, 12216, 202, 509]),\n", " TensorCategory(0))" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_tfms = [Tokenizer.from_folder(path), Numericalize]\n", "y_tfms = [parent_label, Categorize()]\n", "dsets = Datasets(files, [x_tfms, y_tfms], splits=splits)\n", "x,y = dsets.valid[0]\n", "x[:20],y" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It can also decode any processed tuple or show it directly:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "('xxbos xxmaj this movie had horrible lighting and terrible camera movements . xxmaj this movie is a jumpy horror flick with no meaning at all . xxmaj the slashes are totally fake looking . xxmaj it looks like some 17 year - old idiot wrote this movie and a 10 year old kid shot it . xxmaj with the worst acting you can ever find . xxmaj people are tired of knives . xxmaj at least move on to guns or fire . xxmaj it has almost exact lines from \" when a xxmaj stranger xxmaj calls \" . xxmaj with gruesome killings , only crazy people would enjoy this movie . xxmaj it is obvious the writer does n\\'t have kids or even care for them . i mean at show some mercy . xxmaj just to sum it up , this movie is a \" b \" movie and it sucked . xxmaj just for your own sake , do n\\'t even think about wasting your time watching this crappy movie .',\n", " 'neg')" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "t = dsets.valid[0]\n", "dsets.decode(t)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The last step is to convert our `Datasets` object to a `DataLoaders`, which can be done with the `dataloaders` method. Here we need to pass along a special argument to take care of the padding problem (as we saw in the last chapter). This needs to happen just before we batch the elements, so we pass it to `before_batch`: " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "dls = dsets.dataloaders(bs=64, before_batch=pad_input)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`dataloaders` directly calls `DataLoader` on each subset of our `Datasets`. fastai's `DataLoader` expands the PyTorch class of the same name and is responsible for collating the items from our datasets into batches. It has a lot of points of customization, but the most important ones that you should know are:\n", "\n", "- `after_item`:: Applied on each item after grabbing it inside the dataset. This is the equivalent of `item_tfms` in `DataBlock`.\n", "- `before_batch`:: Applied on the list of items before they are collated. This is the ideal place to pad items to the same size.\n", "- `after_batch`:: Applied on the batch as a whole after its construction. This is the equivalent of `batch_tfms` in `DataBlock`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a conclusion, here is the full code necessary to prepare the data for text classification:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "tfms = [[Tokenizer.from_folder(path), Numericalize], [parent_label, Categorize]]\n", "files = get_text_files(path, folders = ['train', 'test'])\n", "splits = GrandparentSplitter(valid_name='test')(files)\n", "dsets = Datasets(files, tfms, splits=splits)\n", "dls = dsets.dataloaders(dl_type=SortedDL, before_batch=pad_input)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The two differences from the previous code are the use of `GrandparentSplitter` to split our training and validation data, and the `dl_type` argument. This is to tell `dataloaders` to use the `SortedDL` class of `DataLoader`, and not the usual one. `SortedDL` constructs batches by putting samples of roughly the same lengths into batches.\n", "\n", "This does the exact same thing as our previous `DataBlock`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "path = untar_data(URLs.IMDB)\n", "dls = DataBlock(\n", " blocks=(TextBlock.from_folder(path),CategoryBlock),\n", " get_y = parent_label,\n", " get_items=partial(get_text_files, folders=['train', 'test']),\n", " splitter=GrandparentSplitter(valid_name='test')\n", ").dataloaders(path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "But now, you know how to customize every single piece of it!\n", "\n", "Let's practice what we just learned about this mid-level API for data preprocessing, using a computer vision example now." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Applying the Mid-Level Data API: SiamesePair" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A *Siamese model* takes two images and has to determine if they are of the same class or not. For this example, we will use the Pet dataset again and prepare the data for a model that will have to predict if two images of pets are of the same breed or not. We will explain here how to prepare the data for such a model, then we will train that model in @sec-arch-details.\n", "\n", "First things first, let's get the images in our dataset:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from fastai.vision.all import *\n", "path = untar_data(URLs.PETS)\n", "files = get_image_files(path/\"images\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we didn't care about showing our objects at all, we could directly create one transform to completely preprocess that list of files. We will want to look at those images though, so we need to create a custom type. When you call the `show` method on a `TfmdLists` or a `Datasets` object, it will decode items until it reaches a type that contains a `show` method and use it to show the object. That `show` method gets passed a `ctx`, which could be a `matplotlib` axis for images, or a row of a DataFrame for texts.\n", "\n", "Here we create a `SiameseImage` object that subclasses `fastuple` and is intended to contain three things: two images, and a Boolean that's `True` if the images are of the same breed. We also implement the special `show` method, such that it concatenates the two images with a black line in the middle. Don't worry too much about the part that is in the `if` test (which is to show the `SiameseImage` when the images are Python images, not tensors); the important part is in the last three lines:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class SiameseImage(fastuple):\n", " def show(self, ctx=None, **kwargs): \n", " img1,img2,same_breed = self\n", " if not isinstance(img1, Tensor):\n", " if img2.size != img1.size: img2 = img2.resize(img1.size)\n", " t1,t2 = tensor(img1),tensor(img2)\n", " t1,t2 = t1.permute(2,0,1),t2.permute(2,0,1)\n", " else: t1,t2 = img1,img2\n", " line = t1.new_zeros(t1.shape[0], t1.shape[1], 10)\n", " return show_image(torch.cat([t1,line,t2], dim=2), \n", " title=same_breed, ctx=ctx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's create a first `SiameseImage` and check our `show` method works:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "img = PILImage.create(files[0])\n", "s = SiameseImage(img, img, True)\n", "s.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also try with a second image that's not from the same class:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "img1 = PILImage.create(files[1])\n", "s1 = SiameseImage(img, img1, False)\n", "s1.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The important thing with transforms that we saw before is that they dispatch over tuples or their subclasses. That's precisely why we chose to subclass `fastuple` in this instance—this way we can apply any transform that works on images to our `SiameseImage` and it will be applied on each image in the tuple:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "s2 = Resize(224)(s1)\n", "s2.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here the `Resize` transform is applied to each of the two images, but not the Boolean flag. Even if we have a custom type, we can thus benefit from all the data augmentation transforms inside the library.\n", "\n", "We are now ready to build the `Transform` that we will use to get our data ready for a Siamese model. First, we will need a function to determine the classes of all our images:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def label_func(fname):\n", " return re.match(r'^(.*)_\\d+.jpg$', fname.name).groups()[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For each image our tranform will, with a probability of 0.5, draw an image from the same class and return a `SiameseImage` with a true label, or draw an image from another class and return a `SiameseImage` with a false label. This is all done in the private `_draw` function. There is one difference between the training and validation sets, which is why the transform needs to be initialized with the splits: on the training set we will make that random pick each time we read an image, whereas on the validation set we make this random pick once and for all at initialization. This way, we get more varied samples during training, but always the same validation set:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class SiameseTransform(Transform):\n", " def __init__(self, files, label_func, splits):\n", " self.labels = files.map(label_func).unique()\n", " self.lbl2files = {l: L(f for f in files if label_func(f) == l) \n", " for l in self.labels}\n", " self.label_func = label_func\n", " self.valid = {f: self._draw(f) for f in files[splits[1]]}\n", " \n", " def encodes(self, f):\n", " f2,t = self.valid.get(f, self._draw(f))\n", " img1,img2 = PILImage.create(f),PILImage.create(f2)\n", " return SiameseImage(img1, img2, t)\n", " \n", " def _draw(self, f):\n", " same = random.random() < 0.5\n", " cls = self.label_func(f)\n", " if not same: \n", " cls = random.choice(L(l for l in self.labels if l != cls)) \n", " return random.choice(self.lbl2files[cls]),same" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then create our main transform:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "splits = RandomSplitter()(files)\n", "tfm = SiameseTransform(files, label_func, splits)\n", "tfm(files[0]).show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the mid-level API for data collection we have two objects that can help us apply transforms on a set of items, `TfmdLists` and `Datasets`. If you remember what we have just seen, one applies a `Pipeline` of transforms and the other applies several `Pipeline`s of transforms in parallel, to build tuples. Here, our main transform already builds the tuples, so we use `TfmdLists`:" ] }, { "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" } ], "source": [ "tls = TfmdLists(files, tfm, splits=splits)\n", "show_at(tls.valid, 0);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we can finally get our data in `DataLoaders` by calling the `dataloaders` method. One thing to be careful of here is that this method does not take `item_tfms` and `batch_tfms` like a `DataBlock`. The fastai `DataLoader` has several hooks that are named after events; here what we apply on the items after they are grabbed is called `after_item`, and what we apply on the batch once it's built is called `after_batch`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "dls = tls.dataloaders(after_item=[Resize(224), ToTensor], \n", " after_batch=[IntToFloatTensor, Normalize.from_stats(*imagenet_stats)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that we need to pass more transforms than usual—that's because the data block API usually adds them automatically:\n", "\n", "- `ToTensor` is the one that converts images to tensors (again, it's applied on every part of the tuple).\n", "- `IntToFloatTensor` converts the tensor of images containing integers from 0 to 255 to a tensor of floats, and divides by 255 to make the values between 0 and 1." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now train a model using this `DataLoaders`. It will need a bit more customization than the usual model provided by `vision_learner` since it has to take two images instead of one, but we will see how to create such a model and train it in @sec-arch-dtails." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "fastai provides a layered API. It takes one line of code to grab the data when it's in one of the usual settings, making it easy for beginners to focus on training a model without spending too much time assembling the data. Then, the high-level data block API gives you more flexibility by allowing you to mix and match some building blocks. Underneath it, the mid-level API gives you greater flexibility to apply any transformations on your items. In your real-world problems, this is probably what you will need to use, and we hope it makes the step of data-munging as easy as possible." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Questionnaire" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Why do we say that fastai has a \"layered\" API? What does it mean?\n", "1. Why does a `Transform` have a `decode` method? What does it do?\n", "1. Why does a `Transform` have a `setup` method? What does it do?\n", "1. How does a `Transform` work when called on a tuple?\n", "1. Which methods do you need to implement when writing your own `Transform`?\n", "1. Write a `Normalize` transform that fully normalizes items (subtract the mean and divide by the standard deviation of the dataset), and that can decode that behavior. Try not to peek!\n", "1. Write a `Transform` that does the numericalization of tokenized texts (it should set its vocab automatically from the dataset seen and have a `decode` method). Look at the source code of fastai if you need help.\n", "1. What is a `Pipeline`?\n", "1. What is a `TfmdLists`? \n", "1. What is a `Datasets`? How is it different from a `TfmdLists`?\n", "1. Why are `TfmdLists` and `Datasets` named with an \"s\"?\n", "1. How can you build a `DataLoaders` from a `TfmdLists` or a `Datasets`?\n", "1. How do you pass `item_tfms` and `batch_tfms` when building a `DataLoaders` from a `TfmdLists` or a `Datasets`?\n", "1. What do you need to do when you want to have your custom items work with methods like `show_batch` or `show_results`?\n", "1. Why can we easily apply fastai data augmentation transforms to the `SiamesePair` we built?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Further Research" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Use the mid-level API to prepare the data in `DataLoaders` on your own datasets. Try this with the Pet dataset and the Adult dataset from Chapter 1.\n", "1. Look at the Siamese tutorial in the fastai documentation to learn how to customize the behavior of `show_batch` and `show_results` for new type of items. Implement it in your own project." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Understanding fastai's Applications: Wrap Up" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Congratulations—you've completed all of the chapters in this book that cover the key practical parts of training models and using deep learning! You know how to use all of fastai's built-in applications, and how to customize them using the data block API and loss functions. You even know how to create a neural network from scratch, and train it! (And hopefully you now know some of the questions to ask to make sure your creations help improve society too.)\n", "\n", "The knowledge you already have is enough to create full working prototypes of many types of neural network applications. More importantly, it will help you understand the capabilities and limitations of deep learning models, and how to design a system that's well adapted to them.\n", "\n", "In the rest of this book we will be pulling apart those applications, piece by piece, to understand the foundations they are built on. This is important knowledge for a deep learning practitioner, because it is what allows you to inspect and debug models that you build and create new applications that are customized for your particular projects." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "jupytext": { "split_at_heading": true }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2 }