Pytorch wrapper for the backward pass (not yet working)

openmm · Sep 28, 2020 · df6f3bc · df6f3bc
1 parent d13eaff
commit df6f3bc
Showing 1 changed file with 69 additions and 28 deletions.
diff --git a/pytorch/SymmetryFunctions.cpp b/pytorch/SymmetryFunctions.cpp
@@ -24,6 +24,71 @@
 #include <torch/script.h>
 #include "CpuANISymmetryFunctions.h"
 
+class GradANISymmetryFunction : public torch::autograd::Function<GradANISymmetryFunction> {
+
+public:
+    static torch::autograd::tensor_list forward(torch::autograd::AutogradContext *ctx,
+                                                int64_t numSpecies,
+                                                double Rcr,
+                                                double Rca,
+                                                const std::vector<double>& EtaR,
+                                                const std::vector<double>& ShfR,
+                                                const std::vector<double>& EtaA,
+                                                const std::vector<double>& Zeta,
+                                                const std::vector<double>& ShfA,
+                                                const std::vector<double>& ShfZ,
+                                                const std::vector<int64_t>& atomSpecies_,
+                                                const torch::Tensor& positions_) {
+
+        const int numAtoms = atomSpecies_.size();
+        const std::vector<int> atomSpecies(atomSpecies_.begin(), atomSpecies_.end());
+
+        std::vector<RadialFunction> radialFunctions;
+        for (const float eta: EtaR)
+            for (const float rs: ShfR)
+                radialFunctions.push_back({eta, rs});
+
+        std::vector<AngularFunction> angularFunctions;
+        for (const float eta: EtaA)
+            for (const float zeta: Zeta)
+                for (const float rs: ShfA)
+                    for (const float thetas: ShfZ)
+                        angularFunctions.push_back({eta, rs, zeta, thetas});
+
+        CpuANISymmetryFunctions sf(numAtoms, numSpecies, Rcr, Rca, false, atomSpecies, radialFunctions, angularFunctions, true);
+
+        const auto positions = positions_.toType(torch::kFloat);
+        auto radial  = torch::empty({numAtoms, numSpecies * (int)radialFunctions.size()}, torch::kFloat);
+        auto angular = torch::empty({numAtoms, numSpecies * (numSpecies + 1) / 2 * (int)angularFunctions.size()}, torch::kFloat);
+
+        sf.computeSymmetryFunctions(positions.data_ptr<float>(), nullptr, radial.data_ptr<float>(), angular.data_ptr<float>());
+
+        return {radial, angular};
+    };
+
+    static torch::autograd::tensor_list backward(torch::autograd::AutogradContext *ctx, torch::autograd::tensor_list grads) {
+
+        const auto& radialGrad = grads[0];
+        const auto& angularGrad = grads[1];
+
+        // compute the gradients
+
+        torch::Tensor positionsGrad = torch::Tensor();
+
+        return { torch::Tensor(), // numSpecies
+                 torch::Tensor(), // Rcr
+                 torch::Tensor(), // Rca
+                 torch::Tensor(), // EtaR
+                 torch::Tensor(), // ShfR
+                 torch::Tensor(), // EtaA
+                 torch::Tensor(), // Zeta
+                 torch::Tensor(), // ShfA
+                 torch::Tensor(), // ShfZ
+                 torch::Tensor(), // atomSpecies
+                 positionsGrad }; // positions
+    };
+};
+
 static torch::autograd::tensor_list ANISymmetryFunction(int64_t numSpecies,
                                                         double Rcr,
                                                         double Rca,
@@ -33,35 +98,11 @@ static torch::autograd::tensor_list ANISymmetryFunction(int64_t numSpecies,
                                                         const std::vector<double>& Zeta,
                                                         const std::vector<double>& ShfA,
                                                         const std::vector<double>& ShfZ,
-                                                        const std::vector<int64_t>& atomSpecies_,
-                                                        const torch::Tensor& positions_) {
-
-    const int numAtoms = atomSpecies_.size();
-    const std::vector<int> atomSpecies(atomSpecies_.begin(), atomSpecies_.end());
-
-    std::vector<RadialFunction> radialFunctions;
-    for (const float eta: EtaR)
-        for (const float rs: ShfR)
-            radialFunctions.push_back({eta, rs});
-
-    std::vector<AngularFunction> angularFunctions;
-    for (const float eta: EtaA)
-        for (const float zeta: Zeta)
-            for (const float rs: ShfA)
-                for (const float thetas: ShfZ)
-                    angularFunctions.push_back({eta, rs, zeta, thetas});
-
-    CpuANISymmetryFunctions sf(numAtoms, numSpecies, Rcr, Rca, false, atomSpecies, radialFunctions, angularFunctions, true);
-
-    const auto positions = positions_.toType(torch::kFloat);
-    auto radial  = torch::empty({numAtoms, numSpecies * (int)radialFunctions.size()}, torch::kFloat);
-    auto angular = torch::empty({numAtoms, numSpecies * (numSpecies + 1) / 2 * (int)angularFunctions.size()}, torch::kFloat);
-
-    sf.computeSymmetryFunctions(positions.data_ptr<float>(), nullptr, radial.data_ptr<float>(), angular.data_ptr<float>());
-
-    return {radial, angular};
+                                                        const std::vector<int64_t>& atomSpecies,
+                                                        const torch::Tensor& positions) {
+    return GradANISymmetryFunction::apply(numSpecies, Rcr, Rca, EtaR, ShfR, EtaA, Zeta, ShfA, ShfZ, atomSpecies, positions);
 }
 
 TORCH_LIBRARY(NNPOps, m) {
     m.def("ANISymmetryFunction", ANISymmetryFunction);
-}
+}