{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "hide_input": false }, "outputs": [], "source": [ "#hide\n", "from utils import *" ] }, { "cell_type": "raw", "metadata": {}, "source": [ "[[chapter_cam]]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# CNN Interpretation with CAM" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we know how to build up pretty much anything from scratch, let's use that knowledge to create entirely new (and very useful!) functionality: the *class activation map*. It gives a us an hindsight of why a CNN made the predictions it did.\n", "\n", "In the process, we'll learn about one handy feature of PyTorch we haven't seen before, the *hook*, and we'll apply many of the concepts classes we've learned in the rest of the book. If you want to really test out your understanding of the material in this book, after you've finished this chapter, try putting the book aside, and recreate the ideas here yourself from scratch (no peaking!)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## CAM and Hooks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Class Activation Mapping (or CAM) was introduced by Zhou et al. in [Learning Deep Features for Discriminative Localization](https://arxiv.org/abs/1512.04150). It uses the output of the last convolutional layer (just before our average pooling) together with the predictions to give us some heatmap visulaization of why the model made its decision. This is a useful tool for intepretation.\n", "\n", "More precisely, at each position of our final convolutional layer we have as many filters as the last linear layer. We can then compute the dot product of those activations by the final weights to have, for each location on our feature map, the score of the feature that was used to make a decision.\n", "\n", "We're going to need a way to get access to the activations inside the model while it's training. In PyTorch this can be done with a *hook*. Hooks are PyTorch's equivalent of fastai's *callbacks*. However rather than allowing you to inject code to the training loop like a fastai Learner callback, hooks allow you to inject code into the forward and backward calculations themselves. We can attach a hook to any layer of the model, and it will be executed when we compute the outputs (forward hook) or during backpropagation (backward hook). A forward hook has to be a function that takes three things: a module, its input and its output, and it can perform any behavior you want. (fastai also provides a handy `HookCallback` that we won't cover here, so take a look at the fastai docs; it makes working with hooks a little easier.)\n", "\n", "We'll use the same cats and dogs model we trained in <>:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_losserror_ratetime
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epochtrain_lossvalid_losserror_ratetime
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "path = untar_data(URLs.PETS)/'images'\n", "def is_cat(x): return x[0].isupper()\n", "dls = ImageDataLoaders.from_name_func(\n", " path, get_image_files(path), valid_pct=0.2, seed=21,\n", " label_func=is_cat, item_tfms=Resize(224))\n", "learn = cnn_learner(dls, resnet34, metrics=error_rate)\n", "learn.fine_tune(1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we'll grab a cat picture and a batch of data:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "img = PILImage.create('images/chapter1_cat_example.jpg')\n", "x, = first(dls.test_dl([img]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For CAM we want to store the activations of the last convolutional layer. We put our hook function in a class so it has a state that we can access later, and just store a copy of the output:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class Hook():\n", " def hook_func(self, m, i, o): self.stored = o.detach().clone()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then instantiate a `Hook` and attach it to the layer we want, which is the last layer of the CNN body." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "hook_output = Hook()\n", "hook = learn.model[0].register_forward_hook(hook_output.hook_func)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then grab a batch and feed it through our model:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with torch.no_grad(): output = learn.model.eval()(x)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we can access out stored activations!" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "act = hook_output.stored[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's also double-check our predictions:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tensor([[7.3566e-07, 1.0000e+00]], device='cuda:0')" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "F.softmax(output, dim=-1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We know 0 is dog (for False) because the classes are automatically sorted in fastai. We can still double check by looking at `dls.vocab`: " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(#2) [False,True]" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dls.vocab" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So our model is very confident this was a picture of a cat." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To do the dot product of our weight matrix (2 by number of activations) with the activations (batch size by activations by rows by cols) we use a custom einsum:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "torch.Size([1, 3, 224, 224])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "torch.Size([2, 7, 7])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cam_map = torch.einsum('ck,kij->cij', learn.model[1][-1].weight, act)\n", "cam_map.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For each image in our batch, and for each class, we get a 7 by 7 feature map that tells us where the activations were higher vs lower. This will let us see which area of the pictures made the model take its decision.\n", "\n", "For instance, the model decided this animal was a cat based on those areas (note that we need to `decode` the input `x` since it's been normalized by the `DataLoader`, and we need to cast to `TensorImage` since at the time this book is written PyTorch does not maintain types when indexing--this may be fixed by the time you are reading this):" ] }, { "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": [ "x_dec = TensorImage(dls.train.decode((x,))[0][0])\n", "_,ax = plt.subplots()\n", "x_dec.show(ctx=ax)\n", "ax.imshow(cam_map[1].detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n", " interpolation='bilinear', cmap='magma');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So the eye and the right ear were the two main areas that made the model decide it was a picture of a cat.\n", "\n", "Once you're done with your hook, you should remove it otherwise it might leak some memory." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "hook.remove()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That's why it's usually a good idea to have the `Hook` class be a *context manager*, registering the hook when you enter it and removing it when you exit. A \"context manager\" is a Python construct that calls `__enter__` when the object is created in a `with` clause, and `__exit__` at the end of the `with` clause. For instance, this is how Python handles the `with open(...) as f:` construct that you'll often see for opening files in Python, and not requiring an explicit `close(f)` at the end." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class Hook():\n", " def __init__(self, m):\n", " self.hook = m.register_forward_hook(self.hook_func) \n", " def hook_func(self, m, i, o): self.stored = o.detach().clone()\n", " def __enter__(self, *args): return self\n", " def __exit__(self, *args): self.hook.remove()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That way, you can safely use it this way:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with Hook(learn.model[0]) as hook:\n", " with torch.no_grad(): output = learn.model.eval()(x.cuda())\n", " act = hook.stored" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "fastai provides this `Hook` class for you, as well as some other handy classes to make working with hooks easier." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This method is useful but only works for the last layer. Gradient CAM is a variant that addreses this problem." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Gradient CAM" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The method we just saw only lets us compute a heatmap with the last activations, since once we have our features, we have to multiply them by the last weight matrix. This won't work for inner layers in the network. A variant introduced in the paper [Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization](https://arxiv.org/abs/1611.07450) in 2016 uses the gradients of the final activation for the desired class: if you remember a little bit about the backward pass, the gradients of the output of the last layer with respect to the input of that layer is equal to the layer weights, since it is a linear layer.\n", "\n", "With deeper layers, we still want the gradients, but they won't just be equal to the weights any more. We have to calculate them. The gradients of every layer are calculated for us by PyTorch during the backward pass, but they're not stored (except for tensors where `requires_grad` is `True`). We can, however, register a hook on the *backward* pass, which PyTorch will give the gradients to as a parameter, so we can store them there. We'll use a `HookBwd` class that will work like `Hook`, but intercepts and stores gradients, instead of activations:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class HookBwd():\n", " def __init__(self, m):\n", " self.hook = m.register_backward_hook(self.hook_func) \n", " def hook_func(self, m, gi, go): self.stored = go[0].detach().clone()\n", " def __enter__(self, *args): return self\n", " def __exit__(self, *args): self.hook.remove()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then for the class index 1 (for `True`, which is 'cat') we intercept the features of the last convolutional layer\n", ", as before, and compute the gradients of the output activation of our class. We can't just call `output.backward()`, because gradients only make sense with respect to a *scalar* (which is normally our *loss*), but `output` is a rank-2 tensor. But if we pick a single image (we'll use 0), and a single class (we'll use 1), then we *can* calculate the gradients of any weight or activation we like, with respect to that single value, using `output[0,cls].backward()`. Our hook intercepts the gradients that we'll use as weights." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "cls = 1\n", "with HookBwd(learn.model[0]) as hookg:\n", " with Hook(learn.model[0]) as hook:\n", " output = learn.model.eval()(x.cuda())\n", " act = hook.stored\n", " output[0,cls].backward()\n", " grad = hookg.stored" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The weights for our grad cam are given by the average of our gradients accross the feature map, then it's exactly the same as before:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "w = grad[0].mean(dim=[1,2], keepdim=True)\n", "cam_map = (w * act[0]).sum(0)" ] }, { "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": [ "_,ax = plt.subplots()\n", "x_dec.show(ctx=ax)\n", "ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n", " interpolation='bilinear', cmap='magma');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The novelty with gradCAM is that we can use it on any layer, here the output of the second to last ResNet group:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "with HookBwd(learn.model[0][-2]) as hookg:\n", " with Hook(learn.model[0][-2]) as hook:\n", " output = learn.model.eval()(x.cuda())\n", " act = hook.stored\n", " output[0,cls].backward()\n", " grad = hookg.stored" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "w = grad[0].mean(dim=[1,2], keepdim=True)\n", "cam_map = (w * act[0]).sum(0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "...and we can now view the activation map for this layer:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "_,ax = plt.subplots()\n", "x_dec.show(ctx=ax)\n", "ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),\n", " interpolation='bilinear', cmap='magma');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Model interpretation is an are of active research and we just scrapped the sruface of what is possible in this brief chapter. Class activation maps give an insight of why a model predicted a certain result by showing the area of the images that were most responsible for a given prediction. It can help analyze false positives and help you figure out what kind of data is missing in your training to fix them." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Questionnaire" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. What is a hook in PyTorch?\n", "1. Which layer does CAM use the outputs of?\n", "1. Why does CAM require a hook?\n", "1. Look at the source code of `ActivationStats` class and see how it uses hooks.\n", "1. Write a hook that stores the activation of a given layer in a model (without peaking, if possible).\n", "1. Why do we call `eval` before getting the activations? Why do we use `no_grad`?\n", "1. Use `torch.einsum` to compute the \"dog\" or \"cat\" score of each of the locations in the last activation of the body of the model.\n", "1. How do you check which orders the categories are in (i.e. the correspondence of index->category)?\n", "1. Why are we using `decode` when displaying the input image?\n", "1. What is a \"context manager\"? What special methods need to be defined to create one?\n", "1. Why can't we use plain CAM for the inner layers of a network?\n", "1. Why do we need to hook the backward pass in order to do GradCAM?\n", "1. Why can't we call `output.backward()` when `output` is a rank-2 tensor of output activations per image per class?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Further Research" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Try removing `keepdim` and see what happens. Look up this parameter in the PyTorch docs. Why do we need it in this notebook?\n", "1. Create a notebook like this one, but for NLP, and use it to find which words in a movie review are most significant in assessing sentiment of a particular movie review." ] }, { "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 }