diff --git a/diffphys-code-burgers.ipynb b/diffphys-code-burgers.ipynb index 4a1beeb..e6a766d 100644 --- a/diffphys-code-burgers.ipynb +++ b/diffphys-code-burgers.ipynb @@ -92,7 +92,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "WARNING:tensorflow:From /Users/thuerey/miniconda3/envs/tf/lib/python3.8/site-packages/tensorflow/python/ops/math_grad.py:297: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.\n", "Instructions for updating:\n", "This op will be removed after the deprecation date. Please switch to tf.sets.difference().\n", "Loss: 0.382915\n" @@ -592,4 +591,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/overview.md b/overview.md index 50352e3..715092b 100644 --- a/overview.md +++ b/overview.md @@ -153,7 +153,7 @@ techniques: - _Loss-terms_: the physical dynamics (or parts thereof) are encoded in the loss function, typically in the form of differentiable operations. The learning process can repeatedly evaluate the loss, and usually receives - gradients from a PDE-based formulation. These soft-constraints sometimes also go + gradients from a PDE-based formulation. These soft constraints sometimes also go under the name "physics-informed" training. - _Interleaved_: the full physical simulation is interleaved and combined with diff --git a/physicalloss-code.ipynb b/physicalloss-code.ipynb index 53f5e7c..08bb816 100644 --- a/physicalloss-code.ipynb +++ b/physicalloss-code.ipynb @@ -8,7 +8,7 @@ "source": [ "# Burgers Optimization with a Physics-Informed NN\n", "\n", - "To illustrate how the physics-informed losses work, let's consider a reconstruction task\n", + "To illustrate how the physics-informed losses work for variant 2, let's consider a reconstruction task\n", "as an inverse problem example.\n", "We'll use Burgers equation $\\frac{\\partial u}{\\partial{t}} + u \\nabla u = \\nu \\nabla \\cdot \\nabla u$ as a simple yet non-linear equation in 1D, for which we have a series of _observations_ at time $t=0.5$. \n", "The solution should fulfill the residual formulation for Burgers equation and match the observations.\n", @@ -40,7 +40,7 @@ "They both represent two-dimensional solutions\n", "$x(p_i,t_i)$ and $y^*(p_i,t_i)$ for a spatial coordinate $p_i$ and a time $t_i$, where the index $i$ sums over a set of chosen $p_i,t_i$ locations at which we evaluate the PDE and the approximated solutions. Thus $y^*$ denotes a reference $u$ for $\\mathcal{P}$ being Burgers equation, which $x$ should approximate as closely as possible. Thus our neural network representation of $x$ will receive $p,t$ as input to produce a velocity solution at the specified position.\n", "\n", - "The residual function $R$ above collects additional evaluations of $f(;\\theta)$ and its derivatives to formulate the residual for $\\mathcal{P}$. This approach -- using derivatives of a neural network to compute a PDE residual -- is typically called a _physics-informed_ approach, yielding a _physics-informed neural network_ (PINN) to represent a solution for the inverse reconstruction problem.\n", + "The residual function $R$ above collects additional evaluations of $f(;\\theta)$ and its derivatives to formulate the residual for $\\mathcal{P}$. This approach -- using derivatives of a neural network to compute a PDE residual -- is typically called a _physics-informed_ approach, yielding a _physics-informed neural network_ (PINN) {cite}`raissi2019pinn` to represent a solution for the inverse reconstruction problem.\n", "\n", "Thus, in the formulation above, $R$ should simply converge to zero above. We've omitted scaling factors in the objective function for simplicity. Note that, effectively, we're only dealing with individual point samples of a single solution $u$ for $\\mathcal{P}$ here.\n", "\n" @@ -69,28 +69,26 @@ "outputId": "bcceefc0-fb33-44c7-959c-0b742e5a1606" }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [] + }, { "name": "stdout", "output_type": "stream", "text": [ - "/bin/bash: pip: command not found\n", - "Could not load resample cuda libraries: CUDA binaries not found at /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/cuda/build/resample.so. Run \"python setup.py cuda\" to compile them\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/util.py:119: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.\n", - "\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/profiling.py:12: The name tf.RunOptions is deprecated. Please use tf.compat.v1.RunOptions instead.\n", - "\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/profiling.py:13: The name tf.RunMetadata is deprecated. Please use tf.compat.v1.RunMetadata instead.\n", - "\n" + "Could not load resample cuda libraries: CUDA binaries not found at /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/cuda/build/resample.so. Run \"python setup.py cuda\" to compile them\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/flow.py:15: UserWarning: TensorFlow-CUDA solver is not available. To compile it, download phiflow sources and run\n", + " for key in self._mapping:\n", + " yield (key, self._mapping[key])\n", "$ python setup.py tf_cuda\n", - "before reinstalling phiflow.\n", - " warnings.warn(\"TensorFlow-CUDA solver is not available. To compile it, download phiflow sources and run\\n$ python setup.py tf_cuda\\nbefore reinstalling phiflow.\")\n" + "before reinstalling phiflow.\n" ] } ], @@ -211,10 +209,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "WARNING:tensorflow:From :7: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Use keras.layers.Dense instead.\n", - "WARNING:tensorflow:From /usr/local/lib/python3.7/site-packages/tensorflow_core/python/layers/core.py:187: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use `layer.__call__` method instead.\n" ] @@ -259,20 +255,12 @@ "output_type": "stream", "text": [ "Size of grid_u: (1, 128, 33, 1)\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/session.py:17: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n", - "\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/session.py:18: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n", - "\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/session.py:28: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.\n", - "\n", - "WARNING:tensorflow:From /Users/thuerey/Dropbox/mbaDevelSelected/phiflow-v1.5/phi/tf/session.py:29: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n", - "\n", "Randomly initialized network state:\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -337,17 +325,7 @@ "id": "bfZvwnFooXa1", "outputId": "f0188a14-5922-4faa-b1aa-fb6482bd81f3" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From /usr/local/lib/python3.7/site-packages/tensorflow_core/python/ops/math_grad.py:1375: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Use tf.where in 2.0, which has the same broadcast rule as np.where\n" - ] - } - ], + "outputs": [], "source": [ "# Boundary loss\n", "N_SAMPLE_POINTS_BND = 100\n", @@ -395,20 +373,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "Step 0, loss: 0.095709\n", - "Step 1, loss: 0.093502\n", - "Step 2, loss: 0.091750\n", - "Step 1000, loss: 0.050177\n", - "Step 2000, loss: 0.044144\n", - "Step 3000, loss: 0.039773\n", - "Step 4000, loss: 0.034952\n", - "Step 5000, loss: 0.032054\n", - "Step 6000, loss: 0.030908\n", - "Step 7000, loss: 0.029630\n", - "Step 8000, loss: 0.028747\n", - "Step 9000, loss: 0.028692\n", - "Step 10000, loss: 0.020781\n", - "Runtime 88.29s\n" + "Step 0, loss: 0.155002\n", + "Step 1, loss: 0.139890\n", + "Step 2, loss: 0.128770\n", + "Step 1000, loss: 0.058176\n", + "Step 2000, loss: 0.047925\n", + "Step 3000, loss: 0.043175\n", + "Step 4000, loss: 0.039472\n", + "Step 5000, loss: 0.038181\n", + "Step 6000, loss: 0.035628\n", + "Step 7000, loss: 0.026915\n", + "Step 8000, loss: 0.021984\n", + "Step 9000, loss: 0.018708\n", + "Step 10000, loss: 0.016682\n", + "Runtime 104.06s\n" ] } ], @@ -456,7 +434,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] @@ -768,13 +746,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Mean absolute error for re-simulation across 16 steps: 0.02124\n" + "Mean absolute error for re-simulation across 16 steps: 0.01372\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -783,7 +761,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] @@ -931,9 +909,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 1 -} +} \ No newline at end of file diff --git a/physicalloss-discuss.md b/physicalloss-discuss.md index 24dfbf9..93d49e6 100644 --- a/physicalloss-discuss.md +++ b/physicalloss-discuss.md @@ -1,4 +1,4 @@ -Discussion of Physical Soft-Constraints +Discussion of Physical Losses ======================= The good news so far is - we have a DL method that can include @@ -9,7 +9,7 @@ starting point. On the positive side, we can leverage DL frameworks with backpropagation to compute the derivatives of the model. At the same time, this puts us at the mercy of the learned representation regarding the reliability of these derivatives. Also, each derivative -requires backpropagation through the full network, which can be very expensive. Especially so +requires backpropagation through the full network. This can be very expensive, especially for higher-order derivatives. And while the setup is relatively simple, it is generally difficult to control. The NN @@ -23,23 +23,23 @@ Of course, such denomination questions are superficial - if an algorithm is usef what name it has. However, here the question helps to highlight some important properties that are typically associated with algorithms from fields like machine learning or optimization. -One main reason _not_ to call these physical constraints machine learning (ML), is that the +One main reason _not_ to call the optimization of the previous notebook machine learning (ML), is that the positions where we test and constrain the solution are the final positions we are interested in. -As such, there is no real distinction between training, validation and (out of distribution) test sets. +As such, there is no real distinction between training, validation and test sets. Computing the solution for a known and given set of samples is much more akin to classical optimization, where inverse problems like the previous Burgers example stem from. For machine learning, we typically work under the assumption that the final performance of our model will be evaluated on a different, potentially unknown set of inputs. The _test data_ -should usually capture such out of distribution (OOD) behavior, so that we can make estimates +should usually capture such _out of distribution_ (OOD) behavior, so that we can make estimates about how well our model will generalize to "real-world" cases that we will encounter when -we deploy it into an application. +we deploy it in an application. In contrast, for the PINN training as described here, we reconstruct a single solution in a known and given space-time region. As such, any samples from this domain follow the same distribution -and hence don't really represent test or OOD sampes. As the NN directly encodes the solution, +and hence don't really represent test or OOD samples. As the NN directly encodes the solution, there is also little hope that it will yield different solutions, or perform well outside -of the training distribution. If we're interested in a different solution, we most likely +of the training range. If we're interested in a different solution, we have to start training the NN from scratch. ![Divider](resources/divider5.jpg) @@ -48,7 +48,7 @@ have to start training the NN from scratch. Thus, the physical soft constraints allow us to encode solutions to PDEs with the tools of NNs. -An inherent drawback of this approach is that it yields single solutions, +An inherent drawback of this variant 2 is that it yields single solutions, and that it does not combine with traditional numerical techniques well. E.g., the learned representation is not suitable to be refined with a classical iterative solver such as the conjugate gradient method. diff --git a/physicalloss.md b/physicalloss.md index ab38791..f30aa92 100644 --- a/physicalloss.md +++ b/physicalloss.md @@ -10,13 +10,8 @@ We as humans have a lot of knowledge about how to describe physical processes mathematically. As the following chapters will show, we can improve the training process by guiding it with our human knowledge of physics. -```{figure} resources/physloss-overview.jpg ---- -height: 220px -name: physloss-overview ---- -Physical losses typically combine a supervised loss with a combination of derivatives from the neural network. -``` +![Divider](resources/divider6.jpg) + ## Using physical models @@ -63,17 +58,57 @@ Note that, similar to the data samples used for supervised training, we have no residual terms $R$ will actually reach zero during training. The non-linear optimization of the training process will minimize the supervised and residual terms as much as possible, but there is no guarantee. Large, non-zero residual contributions can remain. We'll look at this in more detail in the upcoming code example, for now it's important -to remember that physical constraints in this way only represent _soft-constraints_, without guarantees +to remember that physical constraints in this way only represent _soft constraints_, without guarantees of minimizing these constraints. -## Neural network derivatives +The previous overview did not really make clear how an NN produces $\mathbf{u}$. +We can distinguish two different approaches here: +via a chosen explicit representation of the target function (v1 in the following), or via using fully-connected neural networks to represent the solution (v2). +E.g., for v1 we could set up a _spatial_ grid (or graph, or a set of sample points), while in the second case no explicit representation exists, and the NN instead receives the _spatial coordinate_ to produce the solution at a query position. +We'll outline these two variants in more detail the following. -In order to compute the residuals at training time, it would be possible to store -the unknowns of $\mathbf{u}$ on a computational mesh, e.g., a grid, and discretize the equations of -$R$ there. This has a fairly long "tradition" in DL, and was proposed by Tompson et al. {cite}`tompson2017` early on. +--- + +## Variant 1: Residual derivatives for explicit representations + +For variant 1, we choose the discretization and set up a computational mesh that covers our target domain. Without loss of generality, let's assume this is a Cartesian grid that samples the space with positions $\mathbf{p}$. Now, an NN is trained to produce the solution on the grid: $\mathbf{u}(\mathbf{p}) = f(\mathbf{x} ; \theta)$. For a regular grid, a CNN would be a good choice for $f$, while for triangle meshes we could use a graph-network, or a network with point-convolutions for particles. + +```{figure} resources/physloss-overview-v1.jpg +--- +height: 220px +name: physloss-overview-v1 +--- +Variant 1: the solution is represented by a chosen computational mesh, and produced by an NN. The residual is discretized there, and can be combined with supervised terms. +``` + +Now, we can discretize the equations of +$R$ on our computational mesh, and compute derivatives with our method of choice. Only caveat: to incorporate the residual +into training, we have to formulate the evaluation such that a deep learning framework can backpropagate through the +calculations. As our network $f()$ produces the solution $\mathbf{u}$, and the residual depends on it ($R(\mathbf{u})$), we at least need $\partial R / \partial \mathbf u$, such that the gradient can be backpropagated for the weights $\theta$. Luckily, if we formulate $R$ in terms of operations of a DL framework, this will be taken care of by the backpropagation functionality of the framework. + +This variant has a fairly long "tradition" in DL, and was, e.g., proposed by Tompson et al. {cite}`tompson2017` early on to learn +divergence free motions. To give a specific example: if our goal is to learn velocities $\mathbf u(t)$ which are divergence free $\nabla \cdot \mathbf u=0$, we can employ this training approach to train an NN without having to pre-compute divergence free velocity fields as training data. For brevity, we will drop the spatial index ($\mathbf p$) here, and focus on $t$, which we can likewise simplify: divergence-freeness has to hold at all times, and hence we can consider a single step from $t=0$ with $\Delta t=1$, i.e., a normalized step from a divergent $\mathbf u(0)$ to a divergence-free $\mathbf u(1)$. For a normal solver, we'd have to compute a pressure +$p=\nabla^{-2} \mathbf{u}(0)$, such that $\mathbf{u}(1) = \mathbf{u}(0) - \nabla p$. This is the famous fundamental +theorem of vector calculus, or +[Helmholtz decomposition](https://en.wikipedia.org/wiki/Helmholtz_decomposition), splitting a vector field into a _solenoidal_ (divergence-free) and irrotational part (the pressure gradient). + +To learn this decomposition, we can approximate $p$ with a CNN on our computational mesh: $p = f(\mathbf{u}(0) ; \theta)$. The learning objective becomes minimizing the divergence of $\mathbf u(0)$, which means minimizing +$\nabla \cdot \big( \mathbf{u}(0) - \nabla f(\mathbf{u}(0);\theta) \big)$. +To implement this residual, all we need to do is provide the divergence operator $(\nabla \cdot)$ of $\mathbf u$ on our computational mesh. This is typically easy to do via +a convolutional layer in the DL framework that contains the finite difference weights for the divergence. +Nicely enough, in this case we don't even need additional supervised samples, and can typically purely train with this residual formulation. Also, in contrast to variant 2 below, we can directly handle fairly large spaces of solutions here (we're not restricted to learning single solutions) +An example implementation can be found in this [code repository](https://github.com/tum-pbs/CG-Solver-in-the-Loop). + +Overall, this variant 1 has a lot in common with _differentiable physics_ training (it's basically a subset). As we'll discuss differentiable physics in a lot more detail +in {doc}`diffphys` and after, we'll focus on the direct NN representation (variant 2) from now on. + +--- + +## Variant 2: Derivatives from a neural network representation + +The second variant of employing physical residuals as soft constraints +instead uses fully connected NNs to represent $\mathbf{u}$. This _physics-informed_ approach was popularized by Raissi et al. {cite}`raissi2019pinn`, and has some interesting pros and cons that we'll outline in the following. We will target this physics-informed version (variant 2) in the following code examples and discussions. -A popular variant of employing physical soft-constraints {cite}`raissi2019pinn` -instead uses fully connected NNs to represent $\mathbf{u}$. This has some interesting pros and cons that we'll outline in the following, and we will also focus on it in the following code examples and comparisons. The central idea here is that the aforementioned general function $f$ that we're after in our learning problems can also be used to obtain a representation of a physical field, e.g., a field $\mathbf{u}$ that satisfies $R=0$. This means $\mathbf{u}(\mathbf{x})$ will @@ -86,6 +121,14 @@ in {doc}`overview`. Now, we can use the same tools to compute spatial derivative Note that above for $R$ we've written this derivative in the shortened notation as $\mathbf{u}_{x}$. For functions over time this of course also works for $\partial \mathbf{u} / \partial t$, i.e. $\mathbf{u}_{t}$ in the notation above. +```{figure} resources/physloss-overview-v2.jpg +--- +height: 220px +name: physloss-overview-v2 +--- +Variant 2: the solution is produced by a fully-connected network, typically requiring a supervised loss with a combination of derivatives from the neural network for the residual. These NN derivatives have their own share of advantages and disadvantages. +``` + Thus, for some generic $R$, made up of $\mathbf{u}_t$ and $\mathbf{u}_{x}$ terms, we can rely on the backpropagation algorithm of DL frameworks to compute these derivatives once we have a NN that represents $\mathbf{u}$. Essentially, this gives us a function (the NN) that receives space and time coordinates to produce a solution for $\mathbf{u}$. Hence, the input is typically @@ -101,7 +144,7 @@ For higher order derivatives, such as $\frac{\partial^2 u}{\partial x^2}$, we ca ## Summary so far -The approach above gives us a method to include physical equations into DL learning as a soft-constraint: the residual loss. +The approach above gives us a method to include physical equations into DL learning as a soft constraint: the residual loss. Typically, this setup is suitable for _inverse problems_, where we have certain measurements or observations for which we want to find a PDE solution. Because of the high cost of the reconstruction (to be demonstrated in the following), the solution manifold shouldn't be overly complex. E.g., it is not possible diff --git a/resources/pbdl-figures.key b/resources/pbdl-figures.key index 51b28cc..658247e 100755 Binary files a/resources/pbdl-figures.key and b/resources/pbdl-figures.key differ diff --git a/resources/physloss-overview-v1.jpg b/resources/physloss-overview-v1.jpg new file mode 100644 index 0000000..9e04e53 Binary files /dev/null and b/resources/physloss-overview-v1.jpg differ diff --git a/resources/physloss-overview-v2.jpg b/resources/physloss-overview-v2.jpg new file mode 100644 index 0000000..dbc8656 Binary files /dev/null and b/resources/physloss-overview-v2.jpg differ diff --git a/resources/physloss-overview.jpg b/resources/physloss-overview.jpg deleted file mode 100644 index efd2fb2..0000000 Binary files a/resources/physloss-overview.jpg and /dev/null differ diff --git a/supervised-discuss.md b/supervised-discuss.md index c96e454..b3d33f5 100644 --- a/supervised-discuss.md +++ b/supervised-discuss.md @@ -158,7 +158,7 @@ To summarize, supervised training has the following properties. - Interactions with external "processes" (such as embedding into a solver) are difficult. The next chapters will explain how to alleviate these shortcomings of supervised training. -First, we'll look at bringing model equations into the picture via soft-constraints, and afterwards +First, we'll look at bringing model equations into the picture via soft constraints, and afterwards we'll revisit the challenges of bringing together numerical simulations and learned approaches.