From ad1bf6452c40de57f7624866771acba67da8b5ae Mon Sep 17 00:00:00 2001 From: Ye Ding Date: Wed, 8 Nov 2023 13:40:54 +0800 Subject: [PATCH] Update omm plugin and save_dmff2tf.py for aux (U_ind especially) compatible. (#135) * Add issue templates for feature request and bug-report * Add script for dmff model saving. * Remove issue template from devel branch. * debug workflow * remove debug * Update ut.yml. Install mdtraj by conda. * Add openmm dmff plugin to backend * Update .gitignore * Add test workflow for openmm dmff plugin * Update workflow for openmm dmff plugin test. * Update workflow for openmm dmff plugin test. * Update workflow for openmm dmff plugin test. * Update workflow for openmm dmff plugin test. * Update workflow for openmm dmff plugin test. * Specific setuptools version in workflow yaml * Update tensorflow version * Enable double precision in test omm dmff plugin workflow * update nve assert checking in omm dmff plugin workflow * Fix no axis type bug (#120) * add rules of local axis for NoAxisType * add test for NoAxisType * Update omm plugin and save_dmff2tf.py for aux compatible. * Fix test issue. * Update test_openmm_dmff_plugin.yml --------- Co-authored-by: plumbum082 <54125554+plumbum082@users.noreply.github.com> --- .github/workflows/test_openmm_dmff_plugin.yml | 7 +- .../openmmapi/include/DMFFForce.h | 16 +- .../openmmapi/src/DMFFForce.cpp | 6 + .../platforms/cuda/include/CudaDMFFKernels.h | 6 +- .../platforms/cuda/src/CudaDMFFKernels.cpp | 57 ++++- .../reference/include/ReferenceDMFFKernels.h | 10 +- .../reference/src/ReferenceDMFFKernels.cpp | 58 ++++- .../python/OpenMMDMFFPlugin.i | 1 + .../data/admp_water_dimer_aux/fingerprint.pb | 1 + .../data/admp_water_dimer_aux/saved_model.pb | Bin 0 -> 33962736 bytes .../variables/variables.data-00000-of-00001 | Bin .../variables/variables.index | Bin .../python/OpenMMDMFFPlugin/data/lj_fluid.pdb | 204 ------------------ .../data/lj_fluid_gpu/fingerprint.pb | 1 - .../data/lj_fluid_gpu/saved_model.pb | Bin 2580698 -> 0 bytes .../tests/test_dmff_plugin_nve.py | 35 +-- .../python/OpenMMDMFFPlugin/tools.py | 9 + .../python/tests/test_dmff_plugin_nve.py | 29 ++- backend/save_dmff2tf.py | 83 +++++-- 19 files changed, 257 insertions(+), 266 deletions(-) create mode 100644 backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/fingerprint.pb create mode 100644 backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/saved_model.pb rename backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/{lj_fluid_gpu => admp_water_dimer_aux}/variables/variables.data-00000-of-00001 (100%) rename backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/{lj_fluid_gpu => admp_water_dimer_aux}/variables/variables.index (100%) delete mode 100644 backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid.pdb delete mode 100644 backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/fingerprint.pb delete mode 100644 backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/saved_model.pb diff --git a/.github/workflows/test_openmm_dmff_plugin.yml b/.github/workflows/test_openmm_dmff_plugin.yml index f6da47259..a8b7a3c86 100644 --- a/.github/workflows/test_openmm_dmff_plugin.yml +++ b/.github/workflows/test_openmm_dmff_plugin.yml @@ -41,10 +41,11 @@ jobs: export OPENMM_INSTALLED_DIR=$CONDA_PREFIX export CPPFLOW_INSTALLED_DIR=$CONDA_PREFIX export LIBTENSORFLOW_INSTALLED_DIR=$CONDA_PREFIX - cmake .. -DOPENMM_DIR=${OPENMM_INSTALLED_DIR} -DCPPFLOW_DIR=${CPPFLOW_INSTALLED_DIR} -DTENSORFLOW_DIR=${LIBTENSORFLOW_INSTALLED_DIR} -DUSE_HIGH_PRECISION=ON + cmake .. -DOPENMM_DIR=${OPENMM_INSTALLED_DIR} -DCPPFLOW_DIR=${CPPFLOW_INSTALLED_DIR} -DTENSORFLOW_DIR=${LIBTENSORFLOW_INSTALLED_DIR} -DUSE_HIGH_PRECISION=OFF make && make install - make PythonInstall + make PythonInstall - name: Run Tests run: | source $CONDA/bin/activate dmff_omm - python -m OpenMMDMFFPlugin.tests.test_dmff_plugin_nve -n 100 + cd ${GITHUB_WORKSPACE}/backend/ + python -m OpenMMDMFFPlugin.tests.test_dmff_plugin_nve -n 100 --pdb ../examples/water_fullpol/water_dimer.pdb --model ./openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux --has_aux True diff --git a/backend/openmm_dmff_plugin/openmmapi/include/DMFFForce.h b/backend/openmm_dmff_plugin/openmmapi/include/DMFFForce.h index cfacf83c0..4cd428fc8 100644 --- a/backend/openmm_dmff_plugin/openmmapi/include/DMFFForce.h +++ b/backend/openmm_dmff_plugin/openmmapi/include/DMFFForce.h @@ -50,7 +50,7 @@ typedef double ENERGYTYPE; #else typedef float FORCETYPE; typedef float COORDTYPE; -typedef float ENERGYTYPE; +typedef double ENERGYTYPE; #endif namespace DMFFPlugin { @@ -71,6 +71,12 @@ class OPENMM_EXPORT_DMFF DMFFForce : public OpenMM::Force { * @param energyCoefficient : the energy transform coefficient. */ void setUnitTransformCoefficients(const double coordCoefficient, const double forceCoefficient, const double energyCoefficient); + /** + * @brief Set the has_aux flag when model was saved with auxilary input. + * + * @param hasAux : true if model was saved with auxilary input. + */ + void setHasAux(const bool hasAux); const std::string& getDMFFGraphFile() const; /** @@ -97,6 +103,13 @@ class OPENMM_EXPORT_DMFF DMFFForce : public OpenMM::Force { * @return double */ double getCutoff() const; + /** + * @brief Get the Has Aux object + * + * @return true + * @return false + */ + bool getHasAux() const; void updateParametersInContext(OpenMM::Context& context); bool usesPeriodicBoundaryConditions() const { return use_pbc; @@ -106,6 +119,7 @@ class OPENMM_EXPORT_DMFF DMFFForce : public OpenMM::Force { private: string graph_file; bool use_pbc = true; + bool has_aux = false; double cutoff = 1.2; double coordCoeff, forceCoeff, energyCoeff; diff --git a/backend/openmm_dmff_plugin/openmmapi/src/DMFFForce.cpp b/backend/openmm_dmff_plugin/openmmapi/src/DMFFForce.cpp index 093f8dc29..5a48abf00 100644 --- a/backend/openmm_dmff_plugin/openmmapi/src/DMFFForce.cpp +++ b/backend/openmm_dmff_plugin/openmmapi/src/DMFFForce.cpp @@ -54,12 +54,18 @@ void DMFFForce::setUnitTransformCoefficients(const double coordCoefficient, cons energyCoeff = energyCoefficient; } +void DMFFForce::setHasAux(const bool hasAux){ + this->has_aux = hasAux; +} + double DMFFForce::getCoordUnitCoefficient() const {return coordCoeff;} double DMFFForce::getForceUnitCoefficient() const {return forceCoeff;} double DMFFForce::getEnergyUnitCoefficient() const {return energyCoeff;} double DMFFForce::getCutoff() const {return cutoff;} +bool DMFFForce::getHasAux() const {return has_aux;} + const string& DMFFForce::getDMFFGraphFile() const{return graph_file;} diff --git a/backend/openmm_dmff_plugin/platforms/cuda/include/CudaDMFFKernels.h b/backend/openmm_dmff_plugin/platforms/cuda/include/CudaDMFFKernels.h index 2cdf81ceb..976f874f4 100644 --- a/backend/openmm_dmff_plugin/platforms/cuda/include/CudaDMFFKernels.h +++ b/backend/openmm_dmff_plugin/platforms/cuda/include/CudaDMFFKernels.h @@ -58,19 +58,23 @@ class CudaCalcDMFFForceKernel : public CalcDMFFForceKernel{ std::string graph_file; cppflow::model jax_model; vector coord_shape = vector(2); + vector U_ind_shape = vector(2); vector box_shape{3, 3}; vector pair_shape = vector(2); vector pairs_v; - cppflow::tensor coord_tensor, box_tensor, pair_tensor; + cppflow::tensor coord_tensor, box_tensor, pair_tensor, U_ind_tensor; vector output_tensors; + vector last_U_ind; vector operations; vector input_node_names = vector(3); + vector output_node_names = vector(2); OpenMM::NeighborList neighborList; vector> exclusions; int natoms; double cutoff; + bool has_aux; ENERGYTYPE dener; vector dforce; vector dcoord; diff --git a/backend/openmm_dmff_plugin/platforms/cuda/src/CudaDMFFKernels.cpp b/backend/openmm_dmff_plugin/platforms/cuda/src/CudaDMFFKernels.cpp index 7867d1f41..15857a77f 100644 --- a/backend/openmm_dmff_plugin/platforms/cuda/src/CudaDMFFKernels.cpp +++ b/backend/openmm_dmff_plugin/platforms/cuda/src/CudaDMFFKernels.cpp @@ -50,25 +50,50 @@ void CudaCalcDMFFForceKernel::initialize(const System& system, const DMFFForce& energyUnitCoeff = force.getEnergyUnitCoefficient(); coordUnitCoeff = force.getCoordUnitCoefficient(); cutoff = force.getCutoff(); + this->has_aux = force.getHasAux(); natoms = system.getNumParticles(); coord_shape[0] = natoms; coord_shape[1] = 3; exclusions.resize(natoms); + if (this->has_aux){ + U_ind_shape[0] = natoms; + U_ind_shape[1] = 3; + // Initialize the last_U_ind. + for(int ii = 0; ii < natoms * 3; ii ++){ + last_U_ind.push_back(0.0); + } + } + // Load the ordinary graph firstly. jax_model.init(graph_file); operations = jax_model.get_operations(); for (int ii = 0; ii < operations.size(); ii++){ - if (operations[ii].find("serving")!= std::string::npos){ - if (operations[ii].find("0")!= std::string::npos){ + if (operations[ii].find("serving") != std::string::npos){ + if (operations[ii].find("0") != std::string::npos){ input_node_names[0] = operations[ii] + ":0"; } else if (operations[ii].find("1") != std::string::npos){ input_node_names[1] = operations[ii] + ":0"; } else if (operations[ii].find("2") != std::string::npos){ input_node_names[2] = operations[ii] + ":0"; } + // Set up the auxilary input node name. For U_ind + if(this->has_aux){ + if (operations[ii].find("3") != std::string::npos){ + input_node_names.push_back(operations[ii] + ":0"); + } + } + } + // Set up the output names. + if (operations[ii].find("PartitionedCall") != std::string::npos){ + output_node_names[0] = operations[ii] + ":0"; + output_node_names[1] = operations[ii] + ":1"; + if(this->has_aux){ + output_node_names.push_back(operations[ii] + ":2"); + } + break; } } @@ -123,6 +148,9 @@ double CudaCalcDMFFForceKernel::execute(ContextImpl& context, bool includeForces } coord_tensor = cppflow::tensor(dcoord, coord_shape); + // Set input U_ind + U_ind_tensor = cppflow::tensor(last_U_ind, U_ind_shape); + // Fetch the neighbor list for input pairs tensor. computeNeighborListVoxelHash( neighborList, @@ -145,10 +173,27 @@ double CudaCalcDMFFForceKernel::execute(ContextImpl& context, bool includeForces pair_tensor = cppflow::tensor(pairs_v, pair_shape); // Calculate the energy and forces. - output_tensors = jax_model({{input_node_names[0], coord_tensor}, {input_node_names[1], box_tensor}, {input_node_names[2], pair_tensor}}, {"PartitionedCall:0", "PartitionedCall:1"}); - - dener = output_tensors[0].get_data()[0]; - dforce = output_tensors[1].get_data(); + if (!this->has_aux){ + output_tensors = jax_model({ + {input_node_names[0], coord_tensor}, + {input_node_names[1], box_tensor}, + {input_node_names[2], pair_tensor}}, + {output_node_names[0], output_node_names[1]}); + dener = output_tensors[0].get_data()[0]; + dforce = output_tensors[1].get_data(); + } else { + output_tensors = jax_model({ + {input_node_names[0], coord_tensor}, + {input_node_names[1], box_tensor}, + {input_node_names[2], U_ind_tensor}, + {input_node_names[3], pair_tensor}}, + {output_node_names[0], output_node_names[1], output_node_names[2]}); + + dener = output_tensors[0].get_data()[0]; + dforce = output_tensors[1].get_data(); + // Save last U_ind for next step usage. + last_U_ind = output_tensors[2].get_data(); + } // Transform the unit from eV/A to KJ/(mol*nm) diff --git a/backend/openmm_dmff_plugin/platforms/reference/include/ReferenceDMFFKernels.h b/backend/openmm_dmff_plugin/platforms/reference/include/ReferenceDMFFKernels.h index a4d5195cc..8f5850d42 100644 --- a/backend/openmm_dmff_plugin/platforms/reference/include/ReferenceDMFFKernels.h +++ b/backend/openmm_dmff_plugin/platforms/reference/include/ReferenceDMFFKernels.h @@ -75,21 +75,25 @@ class ReferenceCalcDMFFForceKernel : public CalcDMFFForceKernel { cppflow::model jax_model; std::vector coord_shape = vector(2); - std::vector coord_shape_1 = vector(2); - std::vector coord_shape_2 = vector(2); + vector U_ind_shape = vector(2); + std::vector box_shape{3, 3}; std::vector pair_shape = vector(2); std::vector output; - cppflow::tensor coord_tensor, box_tensor, pair_tensor; + cppflow::tensor coord_tensor, box_tensor, pair_tensor, U_ind_tensor; + vector output_tensors; vector operations; + vector last_U_ind; vector input_node_names = vector(3); + vector output_node_names = vector(2); OpenMM::NeighborList neighborList; std::vector> exclusions; int natoms; double cutoff; + bool has_aux; ENERGYTYPE dener; vector dforce; vector dcoord; diff --git a/backend/openmm_dmff_plugin/platforms/reference/src/ReferenceDMFFKernels.cpp b/backend/openmm_dmff_plugin/platforms/reference/src/ReferenceDMFFKernels.cpp index f73979fc8..5b3c8fd42 100644 --- a/backend/openmm_dmff_plugin/platforms/reference/src/ReferenceDMFFKernels.cpp +++ b/backend/openmm_dmff_plugin/platforms/reference/src/ReferenceDMFFKernels.cpp @@ -70,12 +70,22 @@ void ReferenceCalcDMFFForceKernel::initialize(const System& system, const DMFFFo energyUnitCoeff = force.getEnergyUnitCoefficient(); coordUnitCoeff = force.getCoordUnitCoefficient(); cutoff = force.getCutoff(); + this->has_aux = force.getHasAux(); natoms = system.getNumParticles(); coord_shape[0] = natoms; coord_shape[1] = 3; exclusions.resize(natoms); + if (this->has_aux){ + U_ind_shape[0] = natoms; + U_ind_shape[1] = 3; + // Initialize the last_U_ind. + for(int ii = 0; ii < natoms * 3; ii ++){ + last_U_ind.push_back(0.0); + } + } + // Load the ordinary graph firstly. jax_model.init(graph_file); @@ -88,9 +98,22 @@ void ReferenceCalcDMFFForceKernel::initialize(const System& system, const DMFFFo input_node_names[1] = operations[ii]+":0"; } else if (operations[ii].find("2") != std::string::npos){ input_node_names[2] = operations[ii]+":0"; - } else { - std::cout << "Warning: Unknown input node name: " << operations[ii] << std::endl; + } + // Set up the auxilary input node name. For U_ind + if(this->has_aux){ + if (operations[ii].find("3") != std::string::npos){ + input_node_names.push_back(operations[ii] + ":0"); + } + } + } + // Set up the output names. + if (operations[ii].find("PartitionedCall") != std::string::npos){ + output_node_names[0] = operations[ii] + ":0"; + output_node_names[1] = operations[ii] + ":1"; + if(this->has_aux){ + output_node_names.push_back(operations[ii] + ":2"); } + break; } } @@ -134,6 +157,9 @@ double ReferenceCalcDMFFForceKernel::execute(ContextImpl& context, bool includeF } coord_tensor = cppflow::tensor(dcoord, coord_shape); + // Set input U_ind. + U_ind_tensor = cppflow::tensor(last_U_ind, U_ind_shape); + // Set input pairs. computeNeighborListVoxelHash( neighborList, @@ -156,12 +182,30 @@ double ReferenceCalcDMFFForceKernel::execute(ContextImpl& context, bool includeF } pair_shape[0] = totpairs; pair_shape[1] = 2; - cppflow::tensor pair_tensor = cppflow::tensor(dpairs, pair_shape); - - output = jax_model({{input_node_names[0], coord_tensor}, {input_node_names[1], box_tensor}, {input_node_names[2], pair_tensor}}, {"PartitionedCall:0", "PartitionedCall:1"}); + pair_tensor = cppflow::tensor(dpairs, pair_shape); + + if (!this->has_aux){ + output_tensors = jax_model({ + {input_node_names[0], coord_tensor}, + {input_node_names[1], box_tensor}, + {input_node_names[2], pair_tensor}}, + {output_node_names[0], output_node_names[1]}); + dener = output_tensors[0].get_data()[0]; + dforce = output_tensors[1].get_data(); + } else { + output_tensors = jax_model({ + {input_node_names[0], coord_tensor}, + {input_node_names[1], box_tensor}, + {input_node_names[2], U_ind_tensor}, + {input_node_names[3], pair_tensor}}, + {output_node_names[0], output_node_names[1], output_node_names[2]}); + + dener = output_tensors[0].get_data()[0]; + dforce = output_tensors[1].get_data(); + // Save last U_ind for next step usage. + last_U_ind = output_tensors[2].get_data(); + } - dener = output[0].get_data()[0]; - dforce = output[1].get_data(); // Transform the unit from output units to KJ/(mol*nm) for(int ii = 0; ii < natoms; ii ++){ diff --git a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin.i b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin.i index 84f3ab021..6bd7bccb5 100644 --- a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin.i +++ b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin.i @@ -47,6 +47,7 @@ public: DMFFForce(const string& GraphFile); void setUnitTransformCoefficients(const double coordCoefficient, const double forceCoefficient, const double energyCoefficient); + void setHasAux(const bool hasAux); /* * Add methods for casting a Force to a DMFFForce. diff --git a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/fingerprint.pb b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/fingerprint.pb new file mode 100644 index 000000000..ec62a12f0 --- /dev/null +++ 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backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/variables/variables.data-00000-of-00001 diff --git a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/variables/variables.index b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/variables/variables.index similarity index 100% rename from backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/variables/variables.index rename to backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/admp_water_dimer_aux/variables/variables.index diff --git a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid.pdb b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid.pdb deleted file mode 100644 index bdbca18eb..000000000 --- a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid.pdb +++ /dev/null @@ -1,204 +0,0 @@ -REMARK 1 CREATED WITH OPENMM 7.7, 2022-11-03 -CRYST1 24.413 24.413 24.413 90.00 90.00 90.00 P 1 1 -HETATM 1 ATM LJP 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143 16.886 5.251 15.066 1.00 0.00 O -HETATM 144 ATM LJP A 144 20.992 24.409 9.244 1.00 0.00 O -HETATM 145 ATM LJP A 145 12.841 23.567 6.889 1.00 0.00 O -HETATM 146 ATM LJP A 146 9.853 9.608 13.817 1.00 0.00 O -HETATM 147 ATM LJP A 147 6.080 12.030 6.994 1.00 0.00 O -HETATM 148 ATM LJP A 148 16.666 1.590 6.957 1.00 0.00 O -HETATM 149 ATM LJP A 149 5.502 14.368 19.487 1.00 0.00 O -HETATM 150 ATM LJP A 150 17.292 20.610 13.492 1.00 0.00 O -HETATM 151 ATM LJP A 151 12.589 3.868 23.253 1.00 0.00 O -HETATM 152 ATM LJP A 152 17.936 18.176 5.237 1.00 0.00 O -HETATM 153 ATM LJP A 153 3.990 21.877 17.484 1.00 0.00 O -HETATM 154 ATM LJP A 154 17.109 17.693 0.653 1.00 0.00 O -HETATM 155 ATM LJP A 155 1.459 21.296 20.946 1.00 0.00 O -HETATM 156 ATM LJP A 156 3.396 22.007 0.400 1.00 0.00 O -HETATM 157 ATM LJP A 157 9.349 7.859 5.703 1.00 0.00 O -HETATM 158 ATM LJP A 158 22.681 10.914 22.751 1.00 0.00 O -HETATM 159 ATM LJP A 159 22.311 19.684 6.532 1.00 0.00 O -HETATM 160 ATM LJP A 160 7.358 19.657 6.830 1.00 0.00 O -HETATM 161 ATM LJP A 161 8.435 23.908 7.913 1.00 0.00 O -HETATM 162 ATM LJP A 162 22.823 18.032 19.242 1.00 0.00 O -HETATM 163 ATM LJP A 163 6.987 24.374 2.751 1.00 0.00 O -HETATM 164 ATM LJP A 164 1.238 19.288 3.152 1.00 0.00 O -HETATM 165 ATM LJP A 165 3.766 3.412 14.505 1.00 0.00 O -HETATM 166 ATM LJP A 166 17.479 23.245 20.271 1.00 0.00 O -HETATM 167 ATM LJP A 167 8.131 11.490 21.734 1.00 0.00 O -HETATM 168 ATM LJP A 168 10.833 18.968 0.392 1.00 0.00 O -HETATM 169 ATM LJP A 169 23.826 2.848 13.407 1.00 0.00 O -HETATM 170 ATM LJP A 170 20.369 15.881 8.055 1.00 0.00 O -HETATM 171 ATM LJP A 171 20.751 2.470 5.736 1.00 0.00 O -HETATM 172 ATM LJP A 172 11.290 24.050 1.080 1.00 0.00 O -HETATM 173 ATM LJP A 173 21.737 0.532 18.006 1.00 0.00 O -HETATM 174 ATM LJP A 174 15.141 0.407 23.854 1.00 0.00 O -HETATM 175 ATM LJP A 175 24.202 21.236 16.792 1.00 0.00 O -HETATM 176 ATM LJP A 176 9.624 20.857 15.029 1.00 0.00 O -HETATM 177 ATM LJP A 177 10.552 14.344 18.936 1.00 0.00 O -HETATM 178 ATM LJP A 178 23.468 6.714 23.607 1.00 0.00 O -HETATM 179 ATM LJP A 179 16.348 17.348 9.441 1.00 0.00 O -HETATM 180 ATM LJP A 180 19.555 2.774 12.697 1.00 0.00 O -HETATM 181 ATM LJP A 181 23.304 22.686 1.339 1.00 0.00 O -HETATM 182 ATM LJP A 182 15.751 8.855 22.264 1.00 0.00 O -HETATM 183 ATM LJP A 183 17.631 5.546 5.404 1.00 0.00 O -HETATM 184 ATM LJP A 184 23.537 8.901 10.565 1.00 0.00 O -HETATM 185 ATM LJP A 185 14.367 10.164 17.737 1.00 0.00 O -HETATM 186 ATM LJP A 186 10.200 9.386 18.329 1.00 0.00 O -HETATM 187 ATM LJP A 187 8.833 4.201 8.357 1.00 0.00 O -HETATM 188 ATM LJP A 188 24.159 23.893 5.675 1.00 0.00 O -HETATM 189 ATM LJP A 189 21.608 18.838 14.112 1.00 0.00 O -HETATM 190 ATM LJP A 190 7.187 17.854 17.442 1.00 0.00 O -HETATM 191 ATM LJP A 191 3.460 16.451 0.423 1.00 0.00 O -HETATM 192 ATM LJP A 192 18.826 22.220 0.523 1.00 0.00 O -HETATM 193 ATM LJP A 193 22.824 2.641 1.749 1.00 0.00 O -HETATM 194 ATM LJP A 194 16.754 4.199 22.403 1.00 0.00 O -HETATM 195 ATM LJP A 195 0.853 3.877 6.189 1.00 0.00 O -HETATM 196 ATM LJP A 196 7.160 5.518 20.741 1.00 0.00 O -HETATM 197 ATM LJP A 197 20.256 15.051 22.686 1.00 0.00 O -HETATM 198 ATM LJP A 198 4.934 6.245 7.081 1.00 0.00 O -HETATM 199 ATM LJP A 199 20.069 20.260 10.139 1.00 0.00 O -HETATM 200 ATM LJP A 200 11.265 12.039 10.134 1.00 0.00 O -TER 201 LJP A 200 -END diff --git a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/fingerprint.pb b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/fingerprint.pb deleted file mode 100644 index a71b9d584..000000000 --- a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/fingerprint.pb +++ /dev/null @@ -1 +0,0 @@ -€ð„ç­éûœ ÁÓŠ¡Ý–²³Ž¤çÉãÛ†Óq ¿Ñ™ùî¿”(°—¶úÛ„ÿƒ2 \ No newline at end of file diff --git a/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/saved_model.pb b/backend/openmm_dmff_plugin/python/OpenMMDMFFPlugin/data/lj_fluid_gpu/saved_model.pb deleted file mode 100644 index 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